https://nasalivevideopodcast.podview.com/Every episode explores the frontier of space exploration, featuring in-depth discussions on historic orbital missions, deep-space discoveries, and the groundbreaking science shaping our future. Go behind the scenes with exclusive insights, comprehensive breakdowns of live mission updates, and expert perspectives on cosmic phenomena.
Whether you are fascinated by astrophysics, curious about the latest satellite technology, or want to follow humanity's journey to Mars and beyond, the NASA Live Video Podcast provides a professional and engaging look into the stars. Subscribe today to stay connected with the universe and explore the science that drives us forward.]]>enScienceCopyright NASAhttps://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/6e90b9d3a69f3703420de12a4400b3d4.jpghttps://nasalivevideopodcast.podview.com/Sat, 11 Jul 2026 17:13:55 +0000NASANASAnasalivevideopodcast@gmail.comWelcome to the NASA Live Video Podcast, your ultimate audio-visual gateway to the cosmos. Positioned at the intersection of cutting-edge Science, astronomy, and aerospace technology, this podcast is dedicated to bringing the wonders of the universe...Every episode explores the frontier of space exploration, featuring in-depth discussions on historic orbital missions, deep-space discoveries, and the groundbreaking science shaping our future. Go behind the scenes with exclusive insights, comprehensive breakdowns of live mission updates, and expert perspectives on cosmic phenomena.
Whether you are fascinated by astrophysics, curious about the latest satellite technology, or want to follow humanity's journey to Mars and beyond, the NASA Live Video Podcast provides a professional and engaging look into the stars. Subscribe today to stay connected with the universe and explore the science that drives us forward.]]>falseepisodichttps://www.spreaker.com/episode/nasa-arset-introduction-and-demonstration-of-stream--72930645In this episode, we turn our attention to the critical frontier of water resource management and flood forecasting. As global weather patterns become increasingly unpredictable, having access to accurate, scalable, and timely streamflow data is vital for disaster preparedness, agricultural planning, and water security. To address this, we explore the capabilities of STREAM—a cutting-edge streamflow prediction and routing tool designed to optimize hydrological modeling.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we provide a comprehensive introduction and a hands-on demonstration of the STREAM platform. We break down how this tool integrates satellite-derived precipitation data, land surface models, and geographic information systems (GIS) to simulate and forecast river discharge and streamflow dynamics across varied watersheds. Watch and learn how to navigate the user interface, input parameters, extract localized hydrological data, and interpret predictive graphs for real-world decision-making.
Whether you are a hydrologist, a water resource manager, an emergency responder, or a space enthusiast eager to see how Earth observation data translates into localized flood-warning systems, this episode is a must-watch. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, remote sensing software demonstrations, and cutting-edge earth science!]]>https://api.spreaker.com/episode/72930645Sat, 11 Jul 2026 17:05:37 +0000NASAWelcome to this highly practical and insightful episode of the NASA Live Video Podcast: "NASA ARSET: Introduction and Demonstration of STREAM." In this episode, we turn our attention to the critical frontier of water resource management and flood...In this episode, we turn our attention to the critical frontier of water resource management and flood forecasting. As global weather patterns become increasingly unpredictable, having access to accurate, scalable, and timely streamflow data is vital for disaster preparedness, agricultural planning, and water security. To address this, we explore the capabilities of STREAM—a cutting-edge streamflow prediction and routing tool designed to optimize hydrological modeling.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we provide a comprehensive introduction and a hands-on demonstration of the STREAM platform. We break down how this tool integrates satellite-derived precipitation data, land surface models, and geographic information systems (GIS) to simulate and forecast river discharge and streamflow dynamics across varied watersheds. Watch and learn how to navigate the user interface, input parameters, extract localized hydrological data, and interpret predictive graphs for real-world decision-making.
Whether you are a hydrologist, a water resource manager, an emergency responder, or a space enthusiast eager to see how Earth observation data translates into localized flood-warning systems, this episode is a must-watch. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, remote sensing software demonstrations, and cutting-edge earth science!]]>5274false42fullhttps://www.spreaker.com/episode/nasa-arset-introduccion-a-la-mision-gedi-y-sus-productos-derivados--72930591In this episode, we venture into the heart of Earth's forests to explore how spaceborne lasers are revolutionizing our understanding of global carbon cycles and ecosystem structures. Operating from the International Space Station (ISS), NASA's GEDI (Global Ecosystem Dynamics Investigation) mission uses high-resolution laser ranging to provide the first high-quality measurements of forest canopy height, canopy vertical structure, and surface elevation globally.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we introduce the foundational concepts of the GEDI mission and its core technology: full-waveform LiDAR. We break down the key derived data products available to the scientific community, explaining how researchers utilize GEDI data to estimate aboveground biomass, map complex forest structures, and improve biodiversity assessments and climate change modeling.
Whether you are an ecologist, a climate scientist, a forestry professional, a GIS analyst, or a space enthusiast eager to discover how NASA uses lasers from orbit to weigh the world's trees, this episode offers vital, foundational insights. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, remote sensing data, and cutting-edge earth science!]]>https://api.spreaker.com/episode/72930591Sat, 11 Jul 2026 17:00:55 +0000NASAWelcome to this highly fascinating and technically rich episode of the NASA Live Video Podcast: "NASA ARSET: Introducción a la Misión GEDI y sus Productos Derivados." In this episode, we venture into the heart of Earth's forests to explore how...In this episode, we venture into the heart of Earth's forests to explore how spaceborne lasers are revolutionizing our understanding of global carbon cycles and ecosystem structures. Operating from the International Space Station (ISS), NASA's GEDI (Global Ecosystem Dynamics Investigation) mission uses high-resolution laser ranging to provide the first high-quality measurements of forest canopy height, canopy vertical structure, and surface elevation globally.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we introduce the foundational concepts of the GEDI mission and its core technology: full-waveform LiDAR. We break down the key derived data products available to the scientific community, explaining how researchers utilize GEDI data to estimate aboveground biomass, map complex forest structures, and improve biodiversity assessments and climate change modeling.
Whether you are an ecologist, a climate scientist, a forestry professional, a GIS analyst, or a space enthusiast eager to discover how NASA uses lasers from orbit to weigh the world's trees, this episode offers vital, foundational insights. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, remote sensing data, and cutting-edge earth science!]]>6266false41fullhttps://www.spreaker.com/episode/nasa-arset-case-studies-in-trace-gas-monitoring-with-north-american-geostationary-sensors--72917022In this episode, we transition from theoretical data frameworks into actual, real-world applications. With next-generation geostationary satellites now capturing hourly atmospheric data across North America, scientists are unlocking unprecedented insights into localized pollution events. We take a deep dive into specific, practical case studies that showcase the power of this high-temporal-resolution data in action.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we examine how researchers and environmental agencies utilize hourly geostationary trace gas products to solve complex air quality puzzles. We break down case studies focusing on tracking the precise hourly evolution of heavy urban traffic corridors, monitoring sudden industrial emission plumes, and modeling the transboundary transport of wildfire smoke. Discover how analyzing variations in critical gases like nitrogen dioxide (NO_2), sulfur dioxide (SO_2), and formaldehyde (HCHO) throughout the day is transforming public health responses and environmental policy.
Whether you are an air quality specialist, an environmental attorney, a data analyst, or a space enthusiast eager to see how NASA’s eye-in-the-sky protects communities in real time, this episode delivers invaluable insights. Subscribe to the NASA Live Video Podcast to stay connected with the absolute frontier of space exploration, remote sensing case studies, and cutting-edge earth science!]]>https://api.spreaker.com/episode/72917022Fri, 10 Jul 2026 16:35:24 +0000NASAWelcome to another highly analytical and real-world focused episode of the NASA Live Video Podcast: "NASA ARSET: Case Studies in Trace Gas Monitoring with North American Geostationary Sensors." In this episode, we transition from theoretical data...In this episode, we transition from theoretical data frameworks into actual, real-world applications. With next-generation geostationary satellites now capturing hourly atmospheric data across North America, scientists are unlocking unprecedented insights into localized pollution events. We take a deep dive into specific, practical case studies that showcase the power of this high-temporal-resolution data in action.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we examine how researchers and environmental agencies utilize hourly geostationary trace gas products to solve complex air quality puzzles. We break down case studies focusing on tracking the precise hourly evolution of heavy urban traffic corridors, monitoring sudden industrial emission plumes, and modeling the transboundary transport of wildfire smoke. Discover how analyzing variations in critical gases like nitrogen dioxide (NO_2), sulfur dioxide (SO_2), and formaldehyde (HCHO) throughout the day is transforming public health responses and environmental policy.
Whether you are an air quality specialist, an environmental attorney, a data analyst, or a space enthusiast eager to see how NASA’s eye-in-the-sky protects communities in real time, this episode delivers invaluable insights. Subscribe to the NASA Live Video Podcast to stay connected with the absolute frontier of space exploration, remote sensing case studies, and cutting-edge earth science!]]>5344false310fullhttps://www.spreaker.com/episode/nasa-arset-datos-de-sif-completos-gap-filled--72916564In this episode, we dive into one of the most powerful and direct indicators of planetary health and photosynthetic activity: Solar-Induced Chlorophyll Fluorescence (SIF). Unlike traditional vegetation indices that only measure greenness, SIF captures the actual functional tracks of photosynthesis from space, allowing scientists to monitor real-time crop yields, vegetation stress, and gross primary productivity (GPP).
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we focus heavily on the data processing breakthroughs that address spatial and temporal gaps in satellite observations. We break down the methodologies used to generate "Gap-Filled" (Completos) SIF datasets—integrating machine learning, orbital modeling, and high-resolution data assimilation to provide continuous, cloud-free, and high-revisit global data layers. We also discuss how these optimized datasets are applied to early drought detection and carbon cycle tracking.
Whether you are an agricultural analyst, an ecologist, a climate modeler, or a space enthusiast curious about how next-generation data modeling tracks the breathing of Earth's vegetation, this episode delivers critical technical insights. Subscribe to the NASA Live Video Podcast to stay connected with the absolute frontier of space exploration, remote sensing datasets, and cutting-edge earth science!]]>https://api.spreaker.com/episode/72916564Fri, 10 Jul 2026 16:23:21 +0000NASAWelcome to this highly specialized and technically insightful episode of the NASA Live Video Podcast: "NASA ARSET: Datos de SIF Completos (Gap-Filled)." In this episode, we dive into one of the most powerful and direct indicators of planetary health...In this episode, we dive into one of the most powerful and direct indicators of planetary health and photosynthetic activity: Solar-Induced Chlorophyll Fluorescence (SIF). Unlike traditional vegetation indices that only measure greenness, SIF captures the actual functional tracks of photosynthesis from space, allowing scientists to monitor real-time crop yields, vegetation stress, and gross primary productivity (GPP).
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we focus heavily on the data processing breakthroughs that address spatial and temporal gaps in satellite observations. We break down the methodologies used to generate "Gap-Filled" (Completos) SIF datasets—integrating machine learning, orbital modeling, and high-resolution data assimilation to provide continuous, cloud-free, and high-revisit global data layers. We also discuss how these optimized datasets are applied to early drought detection and carbon cycle tracking.
Whether you are an agricultural analyst, an ecologist, a climate modeler, or a space enthusiast curious about how next-generation data modeling tracks the breathing of Earth's vegetation, this episode delivers critical technical insights. Subscribe to the NASA Live Video Podcast to stay connected with the absolute frontier of space exploration, remote sensing datasets, and cutting-edge earth science!]]>7191false39fullhttps://www.spreaker.com/episode/nasa-arset-introduction-to-the-gedi-mission-and-its-derived-products--72916495In this episode, we venture into the heart of Earth's forests to explore how spaceborne lasers are revolutionizing our understanding of global carbon cycles and ecosystem structures. Operating from the International Space Station (ISS), NASA's GEDI (Global Ecosystem Dynamics Investigation) mission uses high-resolution laser ranging to provide the first high-quality measurements of forest canopy height, canopy vertical structure, and surface elevation globally.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we introduce the foundational concepts of the GEDI mission and its core technology: full-waveform LiDAR. We break down the key derived data products available to the scientific community, explaining how researchers utilize GEDI data to estimate aboveground biomass, map complex forest structures, and improve biodiversity assessments and climate change modeling.
Whether you are an ecologist, a climate scientist, a forestry professional, a GIS analyst, or a space enthusiast eager to discover how NASA uses lasers from orbit to weigh the world's trees, this episode offers vital, foundational insights. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, remote sensing data, and cutting-edge earth science!]]>https://api.spreaker.com/episode/72916495Fri, 10 Jul 2026 16:12:17 +0000NASAWelcome to this highly fascinating and technically rich episode of the NASA Live Video Podcast: "NASA ARSET: Introduction to the GEDI Mission and its Derived Products." In this episode, we venture into the heart of Earth's forests to explore how...In this episode, we venture into the heart of Earth's forests to explore how spaceborne lasers are revolutionizing our understanding of global carbon cycles and ecosystem structures. Operating from the International Space Station (ISS), NASA's GEDI (Global Ecosystem Dynamics Investigation) mission uses high-resolution laser ranging to provide the first high-quality measurements of forest canopy height, canopy vertical structure, and surface elevation globally.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we introduce the foundational concepts of the GEDI mission and its core technology: full-waveform LiDAR. We break down the key derived data products available to the scientific community, explaining how researchers utilize GEDI data to estimate aboveground biomass, map complex forest structures, and improve biodiversity assessments and climate change modeling.
Whether you are an ecologist, a climate scientist, a forestry professional, a GIS analyst, or a space enthusiast eager to discover how NASA uses lasers from orbit to weigh the world's trees, this episode offers vital, foundational insights. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, remote sensing data, and cutting-edge earth science!]]>5920false38fullhttps://www.spreaker.com/episode/nasa-arset-north-american-geostationary-trace-gas-data-products-for-air-quality--72916434In this episode, we explore a revolutionary shift in how we monitor the air we breathe. Traditionally, low-Earth orbiting satellites could only capture air quality data over a specific region once a day. Now, we are diving into the game-changing capabilities of geostationary constellation data products, which provide hourly, high-resolution observations of trace gases across North America.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down how these advanced geostationary datasets—such as those from NASA's TEMPO (Tropospheric Emissions: Monitoring of Pollution) mission—are transforming environmental tracking. We discuss how to access and analyze hourly data for critical atmospheric pollutants, including nitrogen dioxide (NO_2), ozone (O_3), and formaldehyde (HCHO), allowing scientists and public health officials to monitor rush-hour pollution dynamics, track wildfire smoke evolution, and improve regional air quality forecasting.
Whether you are an atmospheric scientist, an air quality manager, a public health professional, or a space enthusiast curious about how next-generation satellites revolutionizing planetary health tracking, this episode offers vital insights. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, remote sensing data, and cutting-edge earth science!]]>https://api.spreaker.com/episode/72916434Fri, 10 Jul 2026 16:05:29 +0000NASAWelcome to this highly technical and timely episode of the NASA Live Video Podcast: "NASA ARSET: North American Geostationary Trace Gas Data Products for Air Quality." In this episode, we explore a revolutionary shift in how we monitor the air we...In this episode, we explore a revolutionary shift in how we monitor the air we breathe. Traditionally, low-Earth orbiting satellites could only capture air quality data over a specific region once a day. Now, we are diving into the game-changing capabilities of geostationary constellation data products, which provide hourly, high-resolution observations of trace gases across North America.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down how these advanced geostationary datasets—such as those from NASA's TEMPO (Tropospheric Emissions: Monitoring of Pollution) mission—are transforming environmental tracking. We discuss how to access and analyze hourly data for critical atmospheric pollutants, including nitrogen dioxide (NO_2), ozone (O_3), and formaldehyde (HCHO), allowing scientists and public health officials to monitor rush-hour pollution dynamics, track wildfire smoke evolution, and improve regional air quality forecasting.
Whether you are an atmospheric scientist, an air quality manager, a public health professional, or a space enthusiast curious about how next-generation satellites revolutionizing planetary health tracking, this episode offers vital insights. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, remote sensing data, and cutting-edge earth science!]]>5706false37fullhttps://www.spreaker.com/episode/nasa-arset-post-fire-imagery-and-smoke-monitoring--72916390In this episode, we explore how spaceborne technology operates on the frontlines of disaster management, atmospheric science, and environmental recovery. When massive wildfires strike, the danger doesn't end when the flames are contained. Tracking the ecological damage left behind and monitoring the toxic smoke plumes that travel across states and continents are critical tasks for public safety and climate research.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the advanced methodologies used to analyze post-fire satellite imagery and track smoke progression. We discuss how thermal, optical, and infrared sensors help scientists map burn severity, assess vegetation loss, and identify areas prone to post-fire soil erosion. Furthermore, we dive into how satellite assets track atmospheric aerosol transport, helping meteorological agencies predict air quality degradation downwind from active burn zones.
Whether you are a forestry professional, an air quality specialist, an emergency responder, or a space enthusiast curious about how NASA monitors planetary health during climate extremes, this episode offers essential insights into modern remote sensing applications. Subscribe to the NASA Live Video Podcast to stay connected with the frontier of space exploration, disaster response, and cutting-edge earth science!]]>https://api.spreaker.com/episode/72916390Fri, 10 Jul 2026 15:59:32 +0000NASAWelcome to this vital and highly informative episode of the NASA Live Video Podcast: "NASA ARSET: Post-Fire Imagery and Smoke Monitoring." In this episode, we explore how spaceborne technology operates on the frontlines of disaster management,...In this episode, we explore how spaceborne technology operates on the frontlines of disaster management, atmospheric science, and environmental recovery. When massive wildfires strike, the danger doesn't end when the flames are contained. Tracking the ecological damage left behind and monitoring the toxic smoke plumes that travel across states and continents are critical tasks for public safety and climate research.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the advanced methodologies used to analyze post-fire satellite imagery and track smoke progression. We discuss how thermal, optical, and infrared sensors help scientists map burn severity, assess vegetation loss, and identify areas prone to post-fire soil erosion. Furthermore, we dive into how satellite assets track atmospheric aerosol transport, helping meteorological agencies predict air quality degradation downwind from active burn zones.
Whether you are a forestry professional, an air quality specialist, an emergency responder, or a space enthusiast curious about how NASA monitors planetary health during climate extremes, this episode offers essential insights into modern remote sensing applications. Subscribe to the NASA Live Video Podcast to stay connected with the frontier of space exploration, disaster response, and cutting-edge earth science!]]>3634false36fullhttps://www.spreaker.com/episode/nasa-arset-data-analysis-and-visualization--72916333In this episode, we explore the essential final steps of the remote sensing workflow—turning massive arrays of raw satellite pixels into clear, understandable, and actionable information. Gathering Earth observation data from space is only half the battle; the real magic happens when scientists analyze and visualize that data to unlock critical insights about our changing planet.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the core methodologies and tools used to process complex geospatial datasets. We discuss how to interpret time-series animations, manipulate multi-band satellite imagery, and utilize open-access platforms and open-source programming tools to create professional maps and charts. These visual models are vital for communicating urgent scientific findings directly to urban planners, agricultural managers, and environmental policy-makers globally.
Whether you are a GIS analyst looking to improve your data pipelines, an environmental researcher, a data scientist, or a space enthusiast eager to see how raw data transforms into striking planetary visuals, this episode offers vital foundational insights. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, remote sensing tools, and cutting-edge earth science!]]>https://api.spreaker.com/episode/72916333Fri, 10 Jul 2026 15:54:37 +0000NASAWelcome to another highly analytical episode of the NASA Live Video Podcast: "NASA ARSET: Data Analysis and Visualization." In this episode, we explore the essential final steps of the remote sensing workflow—turning massive arrays of raw satellite...In this episode, we explore the essential final steps of the remote sensing workflow—turning massive arrays of raw satellite pixels into clear, understandable, and actionable information. Gathering Earth observation data from space is only half the battle; the real magic happens when scientists analyze and visualize that data to unlock critical insights about our changing planet.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the core methodologies and tools used to process complex geospatial datasets. We discuss how to interpret time-series animations, manipulate multi-band satellite imagery, and utilize open-access platforms and open-source programming tools to create professional maps and charts. These visual models are vital for communicating urgent scientific findings directly to urban planners, agricultural managers, and environmental policy-makers globally.
Whether you are a GIS analyst looking to improve your data pipelines, an environmental researcher, a data scientist, or a space enthusiast eager to see how raw data transforms into striking planetary visuals, this episode offers vital foundational insights. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, remote sensing tools, and cutting-edge earth science!]]>3294false35fullhttps://www.spreaker.com/episode/nasa-arset-nasa-atl24-bathymetric-data-for-coastal-and-near-shore-applications--72916255In this episode of the NASA Live Video Podcast, we plunge into the dynamic interface where land meets the sea to discover how spaceborne lasers map the topography of our underwater worlds. Shallow coastal and near-shore zones are some of the most complex environments to monitor, yet understanding their depths is vital for marine safety, coastal erosion tracking, and habitat conservation. To do this, we explore the groundbreaking capabilities of NASA’s ICESat-2 (Ice, Cloud, and land Elevation Satellite-2) and its dedicated ATL24 product.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we introduce the foundational concepts of the ATL24 Ocean High-Res Subsurface Beam product. We break down how the Advanced Topographic Laser Altimeter System (ATLAS) uses photon-counting LiDAR technology to penetrate the water column, measuring precise water depths and near-shore bathymetry from orbit. This opening part provides an essential overview of the data's structure, availability, and its immense value to the global coastal science community.
Whether you are a marine biologist, a coastal zone manager, a GIS professional, or a space enthusiast fascinated by how NASA uses advanced lasers to measure ocean depths from space, this series premiere delivers critical foundational insights. Subscribe to the NASA Live Video Podcast to catch this entire series and stay connected with the frontier of space exploration, remote sensing, and cutting-edge earth science!]]>https://api.spreaker.com/episode/72916255Fri, 10 Jul 2026 15:50:25 +0000NASAWelcome to Part 1 of our specialized series on marine remote sensing and laser altimetry: "NASA ARSET: NASA ATL24 Bathymetric Data for Coastal and Near-Shore Applications Part 1." In this episode of the NASA Live Video Podcast, we plunge into the...In this episode of the NASA Live Video Podcast, we plunge into the dynamic interface where land meets the sea to discover how spaceborne lasers map the topography of our underwater worlds. Shallow coastal and near-shore zones are some of the most complex environments to monitor, yet understanding their depths is vital for marine safety, coastal erosion tracking, and habitat conservation. To do this, we explore the groundbreaking capabilities of NASA’s ICESat-2 (Ice, Cloud, and land Elevation Satellite-2) and its dedicated ATL24 product.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we introduce the foundational concepts of the ATL24 Ocean High-Res Subsurface Beam product. We break down how the Advanced Topographic Laser Altimeter System (ATLAS) uses photon-counting LiDAR technology to penetrate the water column, measuring precise water depths and near-shore bathymetry from orbit. This opening part provides an essential overview of the data's structure, availability, and its immense value to the global coastal science community.
Whether you are a marine biologist, a coastal zone manager, a GIS professional, or a space enthusiast fascinated by how NASA uses advanced lasers to measure ocean depths from space, this series premiere delivers critical foundational insights. Subscribe to the NASA Live Video Podcast to catch this entire series and stay connected with the frontier of space exploration, remote sensing, and cutting-edge earth science!]]>5792false34fullhttps://www.spreaker.com/episode/nasa-arset-techniques-for-plotting-and-analyzing-atl24-coastal-bathymetry-part-2--72916106In this episode of the NASA Live Video Podcast, we advance from our foundational overview into the practical, hands-on programming and analytical workflows required to process coastal data. Mapping the shallow waters of our global coastlines is critical for marine navigation, habitat conservation, and coastal vulnerability assessments—and NASA's ICESat-2 ATL24 product provides some of the most precise spaceborne LiDAR bathymetry data available today.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we dive deep into the technical methods used to plot and analyze these complex photon-return profiles. We discuss how to handle the ATL24 HDF5 data structure, utilize open-source Python libraries (such as h5py, pandas, and matplotlib) for visualization, isolate sea-surface vs. sea-floor returns, and account for water column refraction to ensure highly accurate depth measurements along dynamic coastal zones.
Whether you are a marine scientist, a coastal engineer, a GIS developer, or a space enthusiast eager to see how advanced laser altimetry maps the ocean floor from orbit, this second installment delivers essential technical insights. Subscribe to the NASA Live Video Podcast to catch up on Part 1 and stay connected with the absolute frontier of space exploration, remote sensing, and cutting-edge earth science!]]>https://api.spreaker.com/episode/72916106Fri, 10 Jul 2026 15:44:13 +0000NASAWelcome to Part 2 of our specialized series on coastal remote sensing and altimetry data: "NASA ARSET: Techniques for Plotting and Analyzing ATL24 Coastal Bathymetry Part 2." In this episode of the NASA Live Video Podcast, we advance from our...In this episode of the NASA Live Video Podcast, we advance from our foundational overview into the practical, hands-on programming and analytical workflows required to process coastal data. Mapping the shallow waters of our global coastlines is critical for marine navigation, habitat conservation, and coastal vulnerability assessments—and NASA's ICESat-2 ATL24 product provides some of the most precise spaceborne LiDAR bathymetry data available today.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we dive deep into the technical methods used to plot and analyze these complex photon-return profiles. We discuss how to handle the ATL24 HDF5 data structure, utilize open-source Python libraries (such as h5py, pandas, and matplotlib) for visualization, isolate sea-surface vs. sea-floor returns, and account for water column refraction to ensure highly accurate depth measurements along dynamic coastal zones.
Whether you are a marine scientist, a coastal engineer, a GIS developer, or a space enthusiast eager to see how advanced laser altimetry maps the ocean floor from orbit, this second installment delivers essential technical insights. Subscribe to the NASA Live Video Podcast to catch up on Part 1 and stay connected with the absolute frontier of space exploration, remote sensing, and cutting-edge earth science!]]>7353false33fullhttps://www.spreaker.com/episode/nasa-arset-imagenes-satelitales-posteriores-a-un-incendio-y-monitoreo-del-humo--72916026In this episode, we explore how spaceborne technology operates on the frontlines of disaster management and environmental recovery. When massive wildfires strike, the danger doesn't end when the flames are extinguished. Tracking the ecological damage left behind and monitoring the toxic smoke plumes that travel across continents are critical tasks for public safety and atmospheric science.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the methodologies used to analyze post-fire satellite imagery and monitor smoke progression. We discuss how thermal, optical, and infrared sensors help scientists map burn severity, assess vegetation loss, and identify areas prone to post-fire mudslides. Furthermore, we dive into how satellite assets track atmospheric aerosol transport, helping meteorological agencies predict air quality degradation downwind from active burn zones.
Whether you are a forestry professional, an air quality specialist, an emergency responder, or a space enthusiast curious about how NASA monitors planetary health during climate extremes, this episode offers essential insights into modern remote sensing. Subscribe to the NASA Live Video Podcast to stay connected with the frontier of space exploration, disaster response, and cutting-edge earth science!]]>https://api.spreaker.com/episode/72916026Fri, 10 Jul 2026 15:31:13 +0000NASAWelcome to this vital and highly informative episode of the NASA Live Video Podcast: "NASA ARSET: Imágenes Satelitales Posteriores a un Incendio y Monitoreo del Humo." In this episode, we explore how spaceborne technology operates on the frontlines of...In this episode, we explore how spaceborne technology operates on the frontlines of disaster management and environmental recovery. When massive wildfires strike, the danger doesn't end when the flames are extinguished. Tracking the ecological damage left behind and monitoring the toxic smoke plumes that travel across continents are critical tasks for public safety and atmospheric science.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the methodologies used to analyze post-fire satellite imagery and monitor smoke progression. We discuss how thermal, optical, and infrared sensors help scientists map burn severity, assess vegetation loss, and identify areas prone to post-fire mudslides. Furthermore, we dive into how satellite assets track atmospheric aerosol transport, helping meteorological agencies predict air quality degradation downwind from active burn zones.
Whether you are a forestry professional, an air quality specialist, an emergency responder, or a space enthusiast curious about how NASA monitors planetary health during climate extremes, this episode offers essential insights into modern remote sensing. Subscribe to the NASA Live Video Podcast to stay connected with the frontier of space exploration, disaster response, and cutting-edge earth science!]]>5497false32fullhttps://www.spreaker.com/episode/nasa-arset-analisis-y-visualizacion-de-datos-2--72915966In this episode of the NASA Live Video Podcast, we move forward from our introductory concepts into the practical and powerful workflows used to analyze and visualize complex satellite datasets. As the volume of global Earth observation data continues to grow, mastering the tools and platforms needed to extract actionable insights from raw spatial information is essential for modern environmental and climate research.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we dive deep into the specific analytical workflows and open-access visualization platforms utilized by scientists worldwide. We discuss how to handle multi-temporal data layers, generate statistical analysis from satellite time-series, and use specialized software and cloud-based environments to create compelling, professional visual representations that effectively communicate scientific findings to stakeholders and decision-makers.
Whether you are a GIS analyst, an environmental researcher, a data scientist, or a space enthusiast curious about how satellite observations are transformed into clear visual maps, this second installment offers vital, practical insights. Subscribe to the NASA Live Video Podcast to catch up on Part 1 and stay connected with the frontier of space exploration, remote sensing, and cutting-edge earth science!]]>https://api.spreaker.com/episode/72915966Fri, 10 Jul 2026 15:26:34 +0000NASAWelcome to Part 2 of our specialized series on advanced data management and Earth intelligence: "NASA ARSET: Análisis y Visualización de Datos - Parte 2." In this episode of the NASA Live Video Podcast, we move forward from our introductory concepts...In this episode of the NASA Live Video Podcast, we move forward from our introductory concepts into the practical and powerful workflows used to analyze and visualize complex satellite datasets. As the volume of global Earth observation data continues to grow, mastering the tools and platforms needed to extract actionable insights from raw spatial information is essential for modern environmental and climate research.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we dive deep into the specific analytical workflows and open-access visualization platforms utilized by scientists worldwide. We discuss how to handle multi-temporal data layers, generate statistical analysis from satellite time-series, and use specialized software and cloud-based environments to create compelling, professional visual representations that effectively communicate scientific findings to stakeholders and decision-makers.
Whether you are a GIS analyst, an environmental researcher, a data scientist, or a space enthusiast curious about how satellite observations are transformed into clear visual maps, this second installment offers vital, practical insights. Subscribe to the NASA Live Video Podcast to catch up on Part 1 and stay connected with the frontier of space exploration, remote sensing, and cutting-edge earth science!]]>4056false31fullhttps://www.spreaker.com/episode/introduction-to-a-machine-learning-model-to-estimate-water-quality-parameters-part-2--72915532In this episode of the NASA Live Video Podcast, we move beyond the foundational concepts and dive deep into the practical deployment, training, and validation of machine learning algorithms for aquatic monitoring. Accurately assessing water quality across vast geographical scales requires a powerful combination of remote sensing data and predictive intelligence to turn raw satellite observations into real-time environmental insights.
We break down the technical workflows involved in modeling critical water quality parameters—such as Chlorophyll-a concentrations, Total Suspended Solids (TSS), Colored Dissolved Organic Matter (CDOM), and sea/lake surface temperatures. We discuss how regression and classification models utilize satellite-derived surface reflectance data, how to address overfitting, and the importance of ground-truth validation using in-situ data networks to ensure your model's accuracy.
Whether you are a data scientist, a hydrologist, an environmental engineer, or a space enthusiast curious about how artificial intelligence intersects with Earth observation, this second installment offers vital, technical insights. Subscribe to the NASA Live Video Podcast to catch up on Part 1 and stay connected with the absolute frontier of space exploration, remote sensing, and cutting-edge earth science!]]>https://api.spreaker.com/episode/72915532Fri, 10 Jul 2026 14:53:54 +0000NASAWelcome to Part 2 of our specialized series on environmental data science: "Introduction to a Machine Learning Model to Estimate Water Quality Parameters Part 2." In this episode of the NASA Live Video Podcast, we move beyond the foundational concepts...In this episode of the NASA Live Video Podcast, we move beyond the foundational concepts and dive deep into the practical deployment, training, and validation of machine learning algorithms for aquatic monitoring. Accurately assessing water quality across vast geographical scales requires a powerful combination of remote sensing data and predictive intelligence to turn raw satellite observations into real-time environmental insights.
We break down the technical workflows involved in modeling critical water quality parameters—such as Chlorophyll-a concentrations, Total Suspended Solids (TSS), Colored Dissolved Organic Matter (CDOM), and sea/lake surface temperatures. We discuss how regression and classification models utilize satellite-derived surface reflectance data, how to address overfitting, and the importance of ground-truth validation using in-situ data networks to ensure your model's accuracy.
Whether you are a data scientist, a hydrologist, an environmental engineer, or a space enthusiast curious about how artificial intelligence intersects with Earth observation, this second installment offers vital, technical insights. Subscribe to the NASA Live Video Podcast to catch up on Part 1 and stay connected with the absolute frontier of space exploration, remote sensing, and cutting-edge earth science!]]>4935false220fullhttps://www.spreaker.com/episode/nasa-arset-classification-methods-for-land-cover-p--72915517In this episode, we dive into the core engine of geospatial analysis—turning raw satellite imagery into meaningful, actionable maps. Mapping Earth's surface is essential for tracking urbanization, agricultural expansion, and ecosystem health, but achieving this requires robust, scientific image classification methods.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we provide a comprehensive overview of the primary classification techniques used in remote sensing today. We break down the differences between pixel-based and object-based image analysis (OBIA), and contrast traditional methods like Supervised and Unsupervised classification with modern Machine Learning approaches—including Random Forest, Support Vector Machines (SVM), and Classification and Regression Trees (CART). Additionally, we discuss how to assess map accuracy to ensure your land cover datasets are reliable for decision-making.
Whether you are a GIS professional, an urban planner, an environmental scientist, or a space enthusiast curious about how computer algorithms read satellite data from orbit, this episode offers essential insights into modern data processing. Subscribe to the NASA Live Video Podcast to stay updated on the frontier of earth science, satellite imagery, and global exploration!]]>https://api.spreaker.com/episode/72915517Fri, 10 Jul 2026 14:50:42 +0000NASAWelcome to another highly technical and informative episode of the NASA Live Video Podcast: "NASA ARSET: Classification Methods for Land Cover." In this episode, we dive into the core engine of geospatial analysis—turning raw satellite imagery into...In this episode, we dive into the core engine of geospatial analysis—turning raw satellite imagery into meaningful, actionable maps. Mapping Earth's surface is essential for tracking urbanization, agricultural expansion, and ecosystem health, but achieving this requires robust, scientific image classification methods.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we provide a comprehensive overview of the primary classification techniques used in remote sensing today. We break down the differences between pixel-based and object-based image analysis (OBIA), and contrast traditional methods like Supervised and Unsupervised classification with modern Machine Learning approaches—including Random Forest, Support Vector Machines (SVM), and Classification and Regression Trees (CART). Additionally, we discuss how to assess map accuracy to ensure your land cover datasets are reliable for decision-making.
Whether you are a GIS professional, an urban planner, an environmental scientist, or a space enthusiast curious about how computer algorithms read satellite data from orbit, this episode offers essential insights into modern data processing. Subscribe to the NASA Live Video Podcast to stay updated on the frontier of earth science, satellite imagery, and global exploration!]]>4240false219fullhttps://www.spreaker.com/episode/nasa-arset-overview-and-analysis-of-nasa-terrestrial-water-storage-data-from-grace-grace-fo-pt-1--72915484In this episode of the NASA Live Video Podcast, we embark on a fascinating journey to explore how space technology tracks water that is completely hidden from human sight. We focus our attention on the revolutionary GRACE (Gravity Recovery and Climate Experiment) and its successor, GRACE-FO (Follow-On) missions—twin satellite systems that measure variations in Earth’s gravity field to monitor mass distribution changes, primarily driven by water movement.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the foundational concepts behind Terrestrial Water Storage (TWS). We discuss how GRACE/GRACE-FO data allows scientists to look beyond the surface, aggregating groundwater, soil moisture, surface water, snow, and ice into a comprehensive monthly global dataset. This opening part provides an essential overview of how to access and interpret these gravity-based observations to detect massive hydrologic changes across the globe.
Whether you are a hydrologist, a climate scientist, a water resource manager, or a space enthusiast eager to understand how NASA weighs the Earth's water from orbit, this episode delivers critical foundational insights. Subscribe to the NASA Live Video Podcast to catch this entire series and stay connected with the frontier of space exploration, remote sensing, and cutting-edge earth science!]]>https://api.spreaker.com/episode/72915484Fri, 10 Jul 2026 14:47:51 +0000NASAWelcome to Part 1 of our specialized series on global hydrology and gravity anomalies: "NASA ARSET: Overview and Analysis of NASA Terrestrial Water Storage Data from GRACE/GRACE-FO Pt. 1." In this episode of the NASA Live Video Podcast, we embark on a...In this episode of the NASA Live Video Podcast, we embark on a fascinating journey to explore how space technology tracks water that is completely hidden from human sight. We focus our attention on the revolutionary GRACE (Gravity Recovery and Climate Experiment) and its successor, GRACE-FO (Follow-On) missions—twin satellite systems that measure variations in Earth’s gravity field to monitor mass distribution changes, primarily driven by water movement.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the foundational concepts behind Terrestrial Water Storage (TWS). We discuss how GRACE/GRACE-FO data allows scientists to look beyond the surface, aggregating groundwater, soil moisture, surface water, snow, and ice into a comprehensive monthly global dataset. This opening part provides an essential overview of how to access and interpret these gravity-based observations to detect massive hydrologic changes across the globe.
Whether you are a hydrologist, a climate scientist, a water resource manager, or a space enthusiast eager to understand how NASA weighs the Earth's water from orbit, this episode delivers critical foundational insights. Subscribe to the NASA Live Video Podcast to catch this entire series and stay connected with the frontier of space exploration, remote sensing, and cutting-edge earth science!]]>5700false218fullhttps://www.spreaker.com/episode/nisar-science-team-meeting-town-hall-and-data-access-webinar--72915452In this episode, we take you inside the official briefing rooms to cover the latest critical updates from the NISAR Science Team Meeting and Town Hall held in February 2026. As the historic NASA-ISRO Synthetic Aperture Radar (NISAR) mission approaches its full operational phase, understanding how to navigate, download, and utilize the upcoming massive influx of dual-frequency (L-band and S-band) radar data is essential for the global scientific community.
This comprehensive webinar overview breaks down the core discussions from the science team, focusing heavily on data access pathways, open-source tools, and distribution platforms. We outline how researchers, GIS analysts, and environmental scientists can prepare their workflows to handle NISAR’s high-resolution datasets—which will monitor Earth’s land and ice surfaces globally every 12 days to track crustal deformation, ecosystem disruptions, and natural hazards.
Whether you are a remote sensing specialist preparing your data pipelines, a climate scientist, or a space enthusiast eager to follow the exact roadmap of this groundbreaking Earth-observing mission, this episode offers vital technical insights straight from the mission's leading minds. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, satellite data applications, and cutting-edge earth science!]]>https://api.spreaker.com/episode/72915452Fri, 10 Jul 2026 14:42:22 +0000NASAWelcome to this highly informative and exclusive archive episode of the NASA Live Video Podcast: "NISAR Science Team Meeting - Town Hall and Data Access Webinar (Feb 2026)." In this episode, we take you inside the official briefing rooms to cover the...In this episode, we take you inside the official briefing rooms to cover the latest critical updates from the NISAR Science Team Meeting and Town Hall held in February 2026. As the historic NASA-ISRO Synthetic Aperture Radar (NISAR) mission approaches its full operational phase, understanding how to navigate, download, and utilize the upcoming massive influx of dual-frequency (L-band and S-band) radar data is essential for the global scientific community.
This comprehensive webinar overview breaks down the core discussions from the science team, focusing heavily on data access pathways, open-source tools, and distribution platforms. We outline how researchers, GIS analysts, and environmental scientists can prepare their workflows to handle NISAR’s high-resolution datasets—which will monitor Earth’s land and ice surfaces globally every 12 days to track crustal deformation, ecosystem disruptions, and natural hazards.
Whether you are a remote sensing specialist preparing your data pipelines, a climate scientist, or a space enthusiast eager to follow the exact roadmap of this groundbreaking Earth-observing mission, this episode offers vital technical insights straight from the mission's leading minds. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, satellite data applications, and cutting-edge earth science!]]>5743false217fullhttps://www.spreaker.com/episode/nasa-arset-visualizing-land-cover-change-p-2--72915436In this episode of the NASA Live Video Podcast, we advance from our foundational concepts into the practical and powerful workflows used to visualize and interpret changes on the Earth's surface over time. Rapid urbanization, deforestation, and agricultural expansion are continuously reshaping our planet, making the ability to accurately track and visualize these transitions essential for modern environmental conservation.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we dive deep into the specific tools, platforms, and open-access datasets that allow scientists to map land cover dynamics across different time scales. We discuss effective visualization techniques, how to generate change detection matrices, and how to utilize satellite archives—such as Landsat and Sentinel—to turn raw geospatial data into compelling visual stories that drive policy and planning.
Whether you are an urban planner, an ecologist, a GIS analyst, or someone deeply fascinated by how remote sensing reveals the shifting footprint of humanity on Earth, this episode offers vital, hands-on insights. Subscribe to the NASA Live Video Podcast to catch up on Part 1 and stay connected with the frontier of space exploration, satellite imagery, and cutting-edge earth science!]]>https://api.spreaker.com/episode/72915436Fri, 10 Jul 2026 14:38:47 +0000NASAWelcome to Part 2 of our specialized series on environmental monitoring and geospatial analysis: "NASA ARSET: Visualizing Land Cover Change P2." In this episode of the NASA Live Video Podcast, we advance from our foundational concepts into the...In this episode of the NASA Live Video Podcast, we advance from our foundational concepts into the practical and powerful workflows used to visualize and interpret changes on the Earth's surface over time. Rapid urbanization, deforestation, and agricultural expansion are continuously reshaping our planet, making the ability to accurately track and visualize these transitions essential for modern environmental conservation.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we dive deep into the specific tools, platforms, and open-access datasets that allow scientists to map land cover dynamics across different time scales. We discuss effective visualization techniques, how to generate change detection matrices, and how to utilize satellite archives—such as Landsat and Sentinel—to turn raw geospatial data into compelling visual stories that drive policy and planning.
Whether you are an urban planner, an ecologist, a GIS analyst, or someone deeply fascinated by how remote sensing reveals the shifting footprint of humanity on Earth, this episode offers vital, hands-on insights. Subscribe to the NASA Live Video Podcast to catch up on Part 1 and stay connected with the frontier of space exploration, satellite imagery, and cutting-edge earth science!]]>3115false216fullhttps://www.spreaker.com/episode/nasa-arset-overview-and-applications-of-gldas-groundwater-data-products-at-regional-scale-part-2--72915384Welcome to Part 2 of our specialized series on global water resources and land modeling: "NASA ARSET: Overview and Applications of GLDAS Groundwater Data Products at Regional Scale."
In this episode of the NASA Live Video Podcast, we expand on our foundational knowledge to explore the regional applications of the Global Land Data Assimilation System (GLDAS). Groundwater management is heavily dependent on accurate spatial data, and GLDAS plays a critical role by integrating satellite and ground-based observations within advanced land surface models to generate optimal fields of land surface states and fluxes—including deep groundwater storage.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down how GLDAS groundwater data products are downscaled and applied at regional and catchment levels. We discuss how hydrologists, agricultural planners, and environmental agencies utilize these datasets to assess regional aquifer depletion, manage water scarcity, monitor severe drought trends, and inform sustainable policy decisions where ground-based monitoring infrastructure is limited.
Whether you are a water resource manager, a climate scientist, a GIS professional, or someone passionate about how NASA's data modeling helps protect vital freshwater supplies on Earth, this episode offers essential, practical insights. Subscribe to the NASA Live Video Podcast to catch up on the series and stay connected with the frontier of space exploration and cutting-edge earth science!]]>https://api.spreaker.com/episode/72915384Fri, 10 Jul 2026 14:36:14 +0000NASANASA ARSET  Overview and Applications of GLDAS Groundwater Data Products at Regional Scale Part 2 Welcome to Part 2 of our specialized series on global water resources and land modeling: "NASA ARSET: Overview and Applications of GLDAS Groundwater Data...Welcome to Part 2 of our specialized series on global water resources and land modeling: "NASA ARSET: Overview and Applications of GLDAS Groundwater Data Products at Regional Scale."
In this episode of the NASA Live Video Podcast, we expand on our foundational knowledge to explore the regional applications of the Global Land Data Assimilation System (GLDAS). Groundwater management is heavily dependent on accurate spatial data, and GLDAS plays a critical role by integrating satellite and ground-based observations within advanced land surface models to generate optimal fields of land surface states and fluxes—including deep groundwater storage.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down how GLDAS groundwater data products are downscaled and applied at regional and catchment levels. We discuss how hydrologists, agricultural planners, and environmental agencies utilize these datasets to assess regional aquifer depletion, manage water scarcity, monitor severe drought trends, and inform sustainable policy decisions where ground-based monitoring infrastructure is limited.
Whether you are a water resource manager, a climate scientist, a GIS professional, or someone passionate about how NASA's data modeling helps protect vital freshwater supplies on Earth, this episode offers essential, practical insights. Subscribe to the NASA Live Video Podcast to catch up on the series and stay connected with the frontier of space exploration and cutting-edge earth science!]]>5477false215fullhttps://www.spreaker.com/episode/nasa-arset-overview-and-applications-of-opera-disp-to-monitor-groundwater-changes-part-3--72914935In this episode of the NASA Live Video Podcast, we shift our focus underground to address one of the most critical resource challenges of our time—groundwater depletion. While groundwater cannot be seen directly from space, its movement and extraction cause subtle surface displacements. To track these changes, we dive deep into OPERA-DISP (Observational Products for End-Users from Remote Sensing Analysis - Displacement Product), a state-of-the-art radar dataset designed to map land subsidence and surface deformation with incredible precision.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down how OPERA-DISP utilizes Interferometric Synthetic Aperture Radar (InSAR) to detect surface changes over time. We discuss how hydrologists, geologists, and water resource managers apply this high-resolution displacement data to infer aquifer compaction, monitor groundwater storage changes, and build sustainable water management strategies.
Whether you are a water management professional, a GIS analyst, an environmental scientist, or someone fascinated by how satellite radar technology reveals hidden underground resources, this episode concludes our series with vital real-world insights. Subscribe to the NASA Live Video Podcast to catch up on previous parts and stay connected with the frontier of space exploration and earth science!]]>https://api.spreaker.com/episode/72914935Fri, 10 Jul 2026 14:26:05 +0000NASAWelcome to Part 3 of our advanced series on environmental monitoring and radar data: "NASA ARSET: Overview and Applications of OPERA-DISP to Monitor Groundwater Changes." In this episode of the NASA Live Video Podcast, we shift our focus underground...In this episode of the NASA Live Video Podcast, we shift our focus underground to address one of the most critical resource challenges of our time—groundwater depletion. While groundwater cannot be seen directly from space, its movement and extraction cause subtle surface displacements. To track these changes, we dive deep into OPERA-DISP (Observational Products for End-Users from Remote Sensing Analysis - Displacement Product), a state-of-the-art radar dataset designed to map land subsidence and surface deformation with incredible precision.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down how OPERA-DISP utilizes Interferometric Synthetic Aperture Radar (InSAR) to detect surface changes over time. We discuss how hydrologists, geologists, and water resource managers apply this high-resolution displacement data to infer aquifer compaction, monitor groundwater storage changes, and build sustainable water management strategies.
Whether you are a water management professional, a GIS analyst, an environmental scientist, or someone fascinated by how satellite radar technology reveals hidden underground resources, this episode concludes our series with vital real-world insights. Subscribe to the NASA Live Video Podcast to catch up on previous parts and stay connected with the frontier of space exploration and earth science!]]>6744false214fullhttps://www.spreaker.com/episode/nasa-arset-aod-versus-pm2-5-cuando-estan-relacionados-y-cuando-no--72914592In this episode, we bridge the gap between spaceborne atmospheric observations and ground-level environmental reality. Aerosol Optical Depth (AOD) data from NASA’s Applied Remote Sensing Training (ARSET) program offers a powerful column-integrated view of particles across the entire atmosphere from orbit. But a critical question remains for air quality management: How accurately does it reflect PM2.5—the fine particulate matter that directly impacts public health on the ground?
Join us as we explore the intricate relationship between these two vital environmental metrics. We break down the precise scientific and meteorological conditions where AOD and PM2.5 align perfectly, and more importantly, the complex atmospheric factors—such as mixing heights, humidity, and vertical particle transport—where their relationship breaks down completely.
Whether you are an environmental scientist, an air quality specialist, a GIS professional, or a space enthusiast curious about how satellite networks track the air we breathe, this episode provides essential insights into modern remote sensing data. Subscribe to the NASA Live Video Podcast to stay at the forefront of space exploration, climate intelligence, and cutting-edge earth science!]]>https://api.spreaker.com/episode/72914592Fri, 10 Jul 2026 14:02:08 +0000NASAWelcome to this highly informative episode of the NASA Live Video Podcast: "NASA ARSET: AOD Versus PM2.5 ¿Cuándo Están Relacionados y Cuándo No?" In this episode, we bridge the gap between spaceborne atmospheric observations and ground-level...In this episode, we bridge the gap between spaceborne atmospheric observations and ground-level environmental reality. Aerosol Optical Depth (AOD) data from NASA’s Applied Remote Sensing Training (ARSET) program offers a powerful column-integrated view of particles across the entire atmosphere from orbit. But a critical question remains for air quality management: How accurately does it reflect PM2.5—the fine particulate matter that directly impacts public health on the ground?
Join us as we explore the intricate relationship between these two vital environmental metrics. We break down the precise scientific and meteorological conditions where AOD and PM2.5 align perfectly, and more importantly, the complex atmospheric factors—such as mixing heights, humidity, and vertical particle transport—where their relationship breaks down completely.
Whether you are an environmental scientist, an air quality specialist, a GIS professional, or a space enthusiast curious about how satellite networks track the air we breathe, this episode provides essential insights into modern remote sensing data. Subscribe to the NASA Live Video Podcast to stay at the forefront of space exploration, climate intelligence, and cutting-edge earth science!]]>6357false213fullhttps://www.spreaker.com/episode/nasa-arset-foundational-concepts--72892718If you have ever wondered how satellite data is collected from space and applied to solve real-world environmental challenges on Earth, this episode is your perfect starting point. Before diving into complex geospatial modeling or advanced analytical workflows, it is essential to master the core principles that drive the entire field of remote sensing.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the fundamental concepts required to effectively understand and utilize satellite imagery. We explore the essentials of the Electromagnetic Spectrum, explain the critical differences between active and passive sensors, and demystify the various types of satellite resolutions—including spatial, temporal, spectral, and radiometric resolutions.
Whether you are a student taking your first steps in Earth science, a professional looking to integrate GIS data into your workflow, or a space enthusiast curious about how NASA monitors our changing planet from orbit, this episode provides the vital building blocks you need. Subscribe to the NASA Live Video Podcast to build your core scientific knowledge and stay connected with the frontier of space exploration and remote sensing!]]>https://api.spreaker.com/episode/72892718Thu, 09 Jul 2026 16:13:21 +0000NASAWelcome to a foundational episode of the NASA Live Video Podcast: "NASA ARSET: Foundational Concepts." If you have ever wondered how satellite data is collected from space and applied to solve real-world environmental challenges on Earth, this episode...If you have ever wondered how satellite data is collected from space and applied to solve real-world environmental challenges on Earth, this episode is your perfect starting point. Before diving into complex geospatial modeling or advanced analytical workflows, it is essential to master the core principles that drive the entire field of remote sensing.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the fundamental concepts required to effectively understand and utilize satellite imagery. We explore the essentials of the Electromagnetic Spectrum, explain the critical differences between active and passive sensors, and demystify the various types of satellite resolutions—including spatial, temporal, spectral, and radiometric resolutions.
Whether you are a student taking your first steps in Earth science, a professional looking to integrate GIS data into your workflow, or a space enthusiast curious about how NASA monitors our changing planet from orbit, this episode provides the vital building blocks you need. Subscribe to the NASA Live Video Podcast to build your core scientific knowledge and stay connected with the frontier of space exploration and remote sensing!]]>6375false212fullhttps://www.spreaker.com/episode/nasa-arset-estimating-biomass-change-with-gedi-and-the-obiwan-api--72892689In this episode, we explore the cutting-edge fusion of spaceborne LiDAR technology and cloud-based applications to track our planet's changing environment. We focus our attention on how scientists measure variations in forest structure and carbon storage over time using precise data from NASA's GEDI (Global Ecosystem Dynamics Investigation) mission.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the core methodologies behind estimating aboveground biomass changes. More importantly, we dive into how the OBIWAN API (Online Biomass Inference using Waveforms and NASA data) streamlines this complex process—allowing researchers to efficiently query, process, and analyze massive datasets of spaceborne LiDAR waveforms without requiring heavy local computational infrastructure.
Whether you are a carbon-accounting specialist, a climate scientist, a GIS analyst, or a space enthusiast eager to see how advanced APIs make satellite data accessible for global conservation, this episode offers vital insights into modern forest monitoring. Subscribe to the NASA Live Video Podcast to stay connected with the frontier of space exploration, remote sensing, and cutting-edge earth science!]]>https://api.spreaker.com/episode/72892689Thu, 09 Jul 2026 16:10:41 +0000NASAWelcome to another highly specialized episode of the NASA Live Video Podcast: "NASA ARSET: Estimating Biomass Change with GEDI and the OBIWAN API." In this episode, we explore the cutting-edge fusion of spaceborne LiDAR technology and cloud-based...In this episode, we explore the cutting-edge fusion of spaceborne LiDAR technology and cloud-based applications to track our planet's changing environment. We focus our attention on how scientists measure variations in forest structure and carbon storage over time using precise data from NASA's GEDI (Global Ecosystem Dynamics Investigation) mission.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the core methodologies behind estimating aboveground biomass changes. More importantly, we dive into how the OBIWAN API (Online Biomass Inference using Waveforms and NASA data) streamlines this complex process—allowing researchers to efficiently query, process, and analyze massive datasets of spaceborne LiDAR waveforms without requiring heavy local computational infrastructure.
Whether you are a carbon-accounting specialist, a climate scientist, a GIS analyst, or a space enthusiast eager to see how advanced APIs make satellite data accessible for global conservation, this episode offers vital insights into modern forest monitoring. Subscribe to the NASA Live Video Podcast to stay connected with the frontier of space exploration, remote sensing, and cutting-edge earth science!]]>3652false211fullhttps://www.spreaker.com/episode/nasa-arset-estimacion-del-cambio-de-biomasa-con-gedi-y-la-api-obiwan--72892652In this episode, we explore the cutting-edge fusion of spaceborne LiDAR technology and cloud-based application programming interfaces to track global environmental dynamics. We focus our attention on measuring forest structure fluctuations and carbon storage dynamics over time using data from NASA's GEDI (Global Ecosystem Dynamics Investigation) mission.
Through the lens of NASA’s Applied Remote Sensing Training (ARSET) program, we break down how researchers estimate aboveground biomass changes. More importantly, we dive into how the OBIWAN API (Online Biomass Inference using Waveforms and NASA data) streamlines this process—allowing users to efficiently query, process, and analyze massive GEDI spaceborne LiDAR waveforms without the need for high-end local computational infrastructure.
Whether you are a carbon accounting specialist, a climate scientist, a GIS analyst, or a space enthusiast eager to see how advanced APIs make satellite data accessible for global conservation, this episode offers critical insights into modern forest monitoring. Subscribe to the NASA Live Video Podcast to stay connected with the frontier of space exploration, remote sensing, and cutting-edge earth science!]]>https://api.spreaker.com/episode/72892652Thu, 09 Jul 2026 16:07:05 +0000NASAWelcome to this highly specialized episode of the NASA Live Video Podcast: "NASA ARSET: Estimación del Cambio de Biomasa con GEDI y la API OBIWAN." In this episode, we explore the cutting-edge fusion of spaceborne LiDAR technology and cloud-based...In this episode, we explore the cutting-edge fusion of spaceborne LiDAR technology and cloud-based application programming interfaces to track global environmental dynamics. We focus our attention on measuring forest structure fluctuations and carbon storage dynamics over time using data from NASA's GEDI (Global Ecosystem Dynamics Investigation) mission.
Through the lens of NASA’s Applied Remote Sensing Training (ARSET) program, we break down how researchers estimate aboveground biomass changes. More importantly, we dive into how the OBIWAN API (Online Biomass Inference using Waveforms and NASA data) streamlines this process—allowing users to efficiently query, process, and analyze massive GEDI spaceborne LiDAR waveforms without the need for high-end local computational infrastructure.
Whether you are a carbon accounting specialist, a climate scientist, a GIS analyst, or a space enthusiast eager to see how advanced APIs make satellite data accessible for global conservation, this episode offers critical insights into modern forest monitoring. Subscribe to the NASA Live Video Podcast to stay connected with the frontier of space exploration, remote sensing, and cutting-edge earth science!]]>3945false110fullhttps://www.spreaker.com/episode/nasa-arset-overview-of-global-flood-product-derived-from-nasa-optical-observations--72892576In this episode, we focus on advanced satellite applications for disaster response and water resource management. As climate patterns shift and extreme flooding events become more frequent worldwide, having access to rapid, reliable, and global flood mapping tools is vital for protecting lives, infrastructure, and vulnerable communities.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we provide a comprehensive overview of NASA's automated Global Flood Product. We dive into how this powerful tool utilizes optical observations from instruments like MODIS (Moderate Resolution Imaging Spectroradiometer) and VIIRS (Visible Infrared Imaging Radiometer Suite) to detect, monitor, and map the extent of surface water and active flooding across the globe in near-real-time.
Whether you are a disaster management professional, a hydrologist, an environmental scientist, or someone deeply interested in how open-access space technology assists emergency response efforts on the ground, this episode offers essential insights into modern Earth intelligence. Subscribe to the NASA Live Video Podcast to stay updated on the frontier of earth science, satellite data applications, and global exploration!]]>https://api.spreaker.com/episode/72892576Thu, 09 Jul 2026 16:03:48 +0000NASAWelcome to another critical episode of the NASA Live Video Podcast: "NASA ARSET: Overview of Global Flood Product Derived from NASA Optical Observations." In this episode, we focus on advanced satellite applications for disaster response and water...In this episode, we focus on advanced satellite applications for disaster response and water resource management. As climate patterns shift and extreme flooding events become more frequent worldwide, having access to rapid, reliable, and global flood mapping tools is vital for protecting lives, infrastructure, and vulnerable communities.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we provide a comprehensive overview of NASA's automated Global Flood Product. We dive into how this powerful tool utilizes optical observations from instruments like MODIS (Moderate Resolution Imaging Spectroradiometer) and VIIRS (Visible Infrared Imaging Radiometer Suite) to detect, monitor, and map the extent of surface water and active flooding across the globe in near-real-time.
Whether you are a disaster management professional, a hydrologist, an environmental scientist, or someone deeply interested in how open-access space technology assists emergency response efforts on the ground, this episode offers essential insights into modern Earth intelligence. Subscribe to the NASA Live Video Podcast to stay updated on the frontier of earth science, satellite data applications, and global exploration!]]>6579false19fullhttps://www.spreaker.com/episode/nasa-arset-estimacion-de-biomasa-usando-gedi--72892505In this episode, we venture deep into the forests of Earth to explore how space-based technology helps us measure our planet's carbon cycle. We focus our attention on NASA's GEDI (Global Ecosystem Dynamics Investigation) mission—a high-resolution spaceborne LiDAR instrument attached to the International Space Station (ISS) that is completely transforming how we estimate forest biomass and structure.
Through the lens of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the core methodologies behind mapping aboveground biomass using GEDI data. We discuss how GEDI's precise laser pulses pierce through dense forest canopies to measure the 3D structure of the Earth's surface, providing scientists with the critical datasets needed to quantify carbon storage, monitor deforestation, and predict habitat biodiversity.
Whether you are an ecologist, a climate scientist, a carbon-accounting professional, or a space enthusiast curious about how NASA tracks environmental health from orbit, this episode offers an essential introduction to the future of global forest monitoring. Subscribe to the NASA Live Video Podcast to stay connected with the frontier of space exploration, remote sensing, and cutting-edge earth science!]]>https://api.spreaker.com/episode/72892505Thu, 09 Jul 2026 15:56:34 +0000NASAWelcome to this highly anticipated episode of the NASA Live Video Podcast: "NASA ARSET: Estimación de Biomasa Usando GEDI." In this episode, we venture deep into the forests of Earth to explore how space-based technology helps us measure our planet's...In this episode, we venture deep into the forests of Earth to explore how space-based technology helps us measure our planet's carbon cycle. We focus our attention on NASA's GEDI (Global Ecosystem Dynamics Investigation) mission—a high-resolution spaceborne LiDAR instrument attached to the International Space Station (ISS) that is completely transforming how we estimate forest biomass and structure.
Through the lens of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the core methodologies behind mapping aboveground biomass using GEDI data. We discuss how GEDI's precise laser pulses pierce through dense forest canopies to measure the 3D structure of the Earth's surface, providing scientists with the critical datasets needed to quantify carbon storage, monitor deforestation, and predict habitat biodiversity.
Whether you are an ecologist, a climate scientist, a carbon-accounting professional, or a space enthusiast curious about how NASA tracks environmental health from orbit, this episode offers an essential introduction to the future of global forest monitoring. Subscribe to the NASA Live Video Podcast to stay connected with the frontier of space exploration, remote sensing, and cutting-edge earth science!]]>3702false18fullhttps://www.spreaker.com/episode/nasa-arset-applications-in-urban-heat-island-mapping--72892312In this episode, we turn our focus toward climate change, urban planning, and environmental justice. We explore the phenomenon of Urban Heat Islands (UHIs)—where cities and metropolitan areas experience significantly higher temperatures than their surrounding rural environments due to human activity, dense infrastructure, and a lack of green spaces.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down how satellite remote sensing data is used to map and monitor these microclimates. We discuss how land surface temperature (LST) data from missions like Landsat and ECOSTRESS allows scientists and city planners to identify vulnerable urban hot spots, analyze the impact of heat waves, and develop effective cooling strategies like urban forestry and reflective infrastructure.
Whether you are an urban planner, an environmental scientist, a public health professional, or someone passionate about how space technology creates sustainable and resilient cities, this episode offers vital insights into climate adaptation. Subscribe to the NASA Live Video Podcast to stay connected with the frontier of earth science, satellite data applications, and global exploration!]]>https://api.spreaker.com/episode/72892312Thu, 09 Jul 2026 15:53:25 +0000NASAWelcome to another crucial episode of the NASA Live Video Podcast: "NASA ARSET: Applications in Urban Heat Island Mapping." In this episode, we turn our focus toward climate change, urban planning, and environmental justice. We explore the phenomenon...In this episode, we turn our focus toward climate change, urban planning, and environmental justice. We explore the phenomenon of Urban Heat Islands (UHIs)—where cities and metropolitan areas experience significantly higher temperatures than their surrounding rural environments due to human activity, dense infrastructure, and a lack of green spaces.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down how satellite remote sensing data is used to map and monitor these microclimates. We discuss how land surface temperature (LST) data from missions like Landsat and ECOSTRESS allows scientists and city planners to identify vulnerable urban hot spots, analyze the impact of heat waves, and develop effective cooling strategies like urban forestry and reflective infrastructure.
Whether you are an urban planner, an environmental scientist, a public health professional, or someone passionate about how space technology creates sustainable and resilient cities, this episode offers vital insights into climate adaptation. Subscribe to the NASA Live Video Podcast to stay connected with the frontier of earth science, satellite data applications, and global exploration!]]>7300false17fullhttps://www.spreaker.com/episode/nasa-arset-estimating-biomass-using-gedi--72892218In this episode, we venture deep into the forests of Earth to explore how space-based technology helps us measure our planet's carbon cycle. We focus our attention on NASA's GEDI (Global Ecosystem Dynamics Investigation) mission—a high-resolution spaceborne LiDAR instrument attached to the International Space Station (ISS) that is completely transforming how we estimate forest biomass and structure.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the core methodologies behind mapping aboveground biomass using GEDI data. We discuss how GEDI's precise laser pulses pierce through dense forest canopies to measure the 3D structure of the Earth's surface, providing scientists with the critical datasets needed to quantify carbon storage, monitor deforestation, and predict habitat biodiversity.
Whether you are an ecologist, a climate scientist, a carbon-accounting professional, or a space enthusiast curious about how NASA tracks environmental health from orbit, this episode offers vital insights into the future of forest monitoring. Subscribe to the NASA Live Video Podcast to stay connected with the frontier of space exploration, remote sensing, and cutting-edge earth science!]]>https://api.spreaker.com/episode/72892218Thu, 09 Jul 2026 15:47:00 +0000NASAWelcome to another exciting episode of the NASA Live Video Podcast: "NASA ARSET: Estimating Biomass using GEDI." In this episode, we venture deep into the forests of Earth to explore how space-based technology helps us measure our planet's carbon...In this episode, we venture deep into the forests of Earth to explore how space-based technology helps us measure our planet's carbon cycle. We focus our attention on NASA's GEDI (Global Ecosystem Dynamics Investigation) mission—a high-resolution spaceborne LiDAR instrument attached to the International Space Station (ISS) that is completely transforming how we estimate forest biomass and structure.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the core methodologies behind mapping aboveground biomass using GEDI data. We discuss how GEDI's precise laser pulses pierce through dense forest canopies to measure the 3D structure of the Earth's surface, providing scientists with the critical datasets needed to quantify carbon storage, monitor deforestation, and predict habitat biodiversity.
Whether you are an ecologist, a climate scientist, a carbon-accounting professional, or a space enthusiast curious about how NASA tracks environmental health from orbit, this episode offers vital insights into the future of forest monitoring. Subscribe to the NASA Live Video Podcast to stay connected with the frontier of space exploration, remote sensing, and cutting-edge earth science!]]>3690false16fullhttps://www.spreaker.com/episode/nasa-arset-overview-of-geoglows-for-monitoring-and-predicting-flood-risk--72892145In this episode, we focus our attention on global water challenges and disaster management. We explore GEOGLOWS (Geo-Global Water Sustainability), a powerful initiative that bridges the gap between complex water data and actionable decision-making. As climate change increases the frequency and severity of extreme weather events, understanding how to monitor and predict flood risks globally has never been more vital.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we provide a comprehensive overview of how GEOGLOWS utilizes advanced hydrologic modeling, satellite observations, and cloud computing to deliver real-time streamflow forecasts. We discuss how these open-access tools enable local and international water management agencies to anticipate flooding, plan emergency responses, and protect vulnerable communities before disaster strikes.
Whether you are a hydrologist, a disaster management professional, an environmental scientist, or someone deeply interested in how space technology protects lives on Earth, this episode offers essential insights into modern water intelligence. Subscribe to the NASA Live Video Podcast to stay updated on the frontier of earth science, satellite data applications, and global exploration!]]>https://api.spreaker.com/episode/72892145Thu, 09 Jul 2026 15:37:27 +0000NASAWelcome to another crucial episode of the NASA Live Video Podcast: "NASA ARSET: Overview of GEOGLOWS for Monitoring and Predicting Flood Risk." In this episode, we focus our attention on global water challenges and disaster management. We explore...In this episode, we focus our attention on global water challenges and disaster management. We explore GEOGLOWS (Geo-Global Water Sustainability), a powerful initiative that bridges the gap between complex water data and actionable decision-making. As climate change increases the frequency and severity of extreme weather events, understanding how to monitor and predict flood risks globally has never been more vital.
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we provide a comprehensive overview of how GEOGLOWS utilizes advanced hydrologic modeling, satellite observations, and cloud computing to deliver real-time streamflow forecasts. We discuss how these open-access tools enable local and international water management agencies to anticipate flooding, plan emergency responses, and protect vulnerable communities before disaster strikes.
Whether you are a hydrologist, a disaster management professional, an environmental scientist, or someone deeply interested in how space technology protects lives on Earth, this episode offers essential insights into modern water intelligence. Subscribe to the NASA Live Video Podcast to stay updated on the frontier of earth science, satellite data applications, and global exploration!]]>5739false15fullhttps://www.spreaker.com/episode/nasa-arset-an-introduction-to-nisar--72892111In this episode, we dive into the groundbreaking radar mission that is set to revolutionize Earth observation: NISAR (NASA-ISRO Synthetic Aperture Radar). Developed in a historic collaboration between NASA and the Indian Space Research Organisation (ISRO), NISAR is designed to observe and measure some of the planet’s most complex natural processes—from ecosystem disturbances and ice-sheet collapses to natural hazards like earthquakes, tsunamis, volcanoes, and landslides.
Through the lens of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the core foundations of this upcoming mission. We discuss how NISAR utilizes advanced dual-frequency (L-band and S-band) Synthetic Aperture Radar to scan Earth's land and ice surfaces globally every 12 days, providing unprecedented, high-resolution data on environmental changes and crustal deformation.
Whether you are an environmental scientist, a GIS and remote sensing specialist, or a space enthusiast eager to learn about the next generation of satellite technology, this episode offers an essential introduction to how NISAR will help us better understand and manage our changing planet. Subscribe to the NASA Live Video Podcast to stay at the forefront of space exploration and cutting-edge earth science!]]>https://api.spreaker.com/episode/72892111Thu, 09 Jul 2026 15:34:05 +0000NASAWelcome to this highly anticipated episode of the NASA Live Video Podcast: "NASA ARSET: An Introduction to NISAR." In this episode, we dive into the groundbreaking radar mission that is set to revolutionize Earth observation: NISAR (NASA-ISRO...In this episode, we dive into the groundbreaking radar mission that is set to revolutionize Earth observation: NISAR (NASA-ISRO Synthetic Aperture Radar). Developed in a historic collaboration between NASA and the Indian Space Research Organisation (ISRO), NISAR is designed to observe and measure some of the planet’s most complex natural processes—from ecosystem disturbances and ice-sheet collapses to natural hazards like earthquakes, tsunamis, volcanoes, and landslides.
Through the lens of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the core foundations of this upcoming mission. We discuss how NISAR utilizes advanced dual-frequency (L-band and S-band) Synthetic Aperture Radar to scan Earth's land and ice surfaces globally every 12 days, providing unprecedented, high-resolution data on environmental changes and crustal deformation.
Whether you are an environmental scientist, a GIS and remote sensing specialist, or a space enthusiast eager to learn about the next generation of satellite technology, this episode offers an essential introduction to how NISAR will help us better understand and manage our changing planet. Subscribe to the NASA Live Video Podcast to stay at the forefront of space exploration and cutting-edge earth science!]]>7467false14fullhttps://www.spreaker.com/episode/nasa-arset-introduccion-a-nisar--72891600In this episode, we explore the groundbreaking upcoming radar mission that is set to revolutionize Earth observation: NISAR (NASA-ISRO Synthetic Aperture Radar). Developed in a historic collaboration between NASA and the Indian Space Research Organisation (ISRO), NISAR is designed to observe and measure some of the planet’s most complex natural processes—from ecosystem disturbances and ice-sheet collapses to natural hazards like earthquakes, tsunamis, volcanoes, and landslides.
Through the lens of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the core foundations of this mission. We discuss how NISAR utilizes advanced dual-frequency (L-band and S-band) Synthetic Aperture Radar to scan Earth's land and ice surfaces globally every 12 days, providing unprecedented, high-resolution data on environmental changes and crustal deformation.
Whether you are an environmental scientist, a GIS and remote sensing specialist, or a space enthusiast eager to learn about the next generation of satellite technology, this episode offers an essential introduction to how NISAR will help us better understand and manage our changing planet. Subscribe to the NASA Live Video Podcast to stay at the forefront of space exploration and cutting-edge earth science!]]>https://api.spreaker.com/episode/72891600Thu, 09 Jul 2026 15:23:58 +0000NASAWelcome to this highly anticipated episode of the NASA Live Video Podcast: "NASA ARSET: Introducción a NISAR." In this episode, we explore the groundbreaking upcoming radar mission that is set to revolutionize Earth observation: NISAR (NASA-ISRO...In this episode, we explore the groundbreaking upcoming radar mission that is set to revolutionize Earth observation: NISAR (NASA-ISRO Synthetic Aperture Radar). Developed in a historic collaboration between NASA and the Indian Space Research Organisation (ISRO), NISAR is designed to observe and measure some of the planet’s most complex natural processes—from ecosystem disturbances and ice-sheet collapses to natural hazards like earthquakes, tsunamis, volcanoes, and landslides.
Through the lens of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the core foundations of this mission. We discuss how NISAR utilizes advanced dual-frequency (L-band and S-band) Synthetic Aperture Radar to scan Earth's land and ice surfaces globally every 12 days, providing unprecedented, high-resolution data on environmental changes and crustal deformation.
Whether you are an environmental scientist, a GIS and remote sensing specialist, or a space enthusiast eager to learn about the next generation of satellite technology, this episode offers an essential introduction to how NISAR will help us better understand and manage our changing planet. Subscribe to the NASA Live Video Podcast to stay at the forefront of space exploration and cutting-edge earth science!]]>7949false13fullhttps://www.spreaker.com/episode/nasa-arset-foundations-of-species-distribution-modeling-with-gee-part-2--72885288In this episode of the NASA Live Video Podcast, we dive deeper into the technical and practical workflows of Species Distribution Modeling (SDM) using the immense computational power of Google Earth Engine (GEE). Building upon our foundational knowledge from Part 1, we explore how scientists utilize NASA’s satellite observations and geospatial datasets to map, predict, and analyze wildlife habitats and biodiversity patterns across the globe.
Join us as we break down the core components of the SDM workflow within GEE. We discuss how to integrate environmental predictors—such as climate data, terrain metrics, and vegetation indices—with species presence data to build robust predictive models. We also address the critical steps of model evaluation, tuning, and understanding the environmental variables that most heavily influence habitat suitability.
Whether you are an ecologist, a GIS professional, a data scientist, or simply fascinated by how satellite technology protects Earth's biodiversity, this episode offers essential insights into modern conservation science. Subscribe to the NASA Live Video Podcast to stay updated on the frontier of earth science and space-driven discoveries!]]>https://api.spreaker.com/episode/72885288Thu, 09 Jul 2026 09:54:55 +0000NASAWelcome to Part 2 of our specialized series on ecological data and remote sensing: "NASA ARSET: Foundations of Species Distribution Modeling with GEE." In this episode of the NASA Live Video Podcast, we dive deeper into the technical and practical...In this episode of the NASA Live Video Podcast, we dive deeper into the technical and practical workflows of Species Distribution Modeling (SDM) using the immense computational power of Google Earth Engine (GEE). Building upon our foundational knowledge from Part 1, we explore how scientists utilize NASA’s satellite observations and geospatial datasets to map, predict, and analyze wildlife habitats and biodiversity patterns across the globe.
Join us as we break down the core components of the SDM workflow within GEE. We discuss how to integrate environmental predictors—such as climate data, terrain metrics, and vegetation indices—with species presence data to build robust predictive models. We also address the critical steps of model evaluation, tuning, and understanding the environmental variables that most heavily influence habitat suitability.
Whether you are an ecologist, a GIS professional, a data scientist, or simply fascinated by how satellite technology protects Earth's biodiversity, this episode offers essential insights into modern conservation science. Subscribe to the NASA Live Video Podcast to stay updated on the frontier of earth science and space-driven discoveries!]]>7190false12fullhttps://www.spreaker.com/episode/nasa-arset-aod-versus-pm2-5-when-they-are-and-are-not-related-part-1--72885230In this episode of the NASA Live Video Podcast, we bridge the gap between satellite-based observations and ground-level reality. Aerosol Optical Depth (AOD) from NASA’s Applied Remote Sensing Training (ARSET) program provides a powerful column-integrated view of particles in our atmosphere from space. But how accurately does it reflect PM2.5—the fine particulate matter we actually breathe on the ground?
Join us as we explore the complex relationship between these two critical environmental metrics. We break down the exact scientific conditions where AOD and PM2.5 align perfectly, and more importantly, the meteorological factors—like atmospheric mixing heights and transport layers—where their relationship breaks down completely.
Whether you are an environmental scientist, a data enthusiast, or just curious about how NASA tracks air quality from orbit, this episode offers vital insights into modern satellite data applications. Subscribe to the NASA Live Video Podcast to catch the next part of this series and stay connected with the frontier of space and earth science!]]>https://api.spreaker.com/episode/72885230Thu, 09 Jul 2026 09:48:35 +0000NASAWelcome to Part 1 of our special deep-dive series on atmospheric science: "NASA ARSET AOD Versus PM2.5 – When They Are and Are Not Related." In this episode of the NASA Live Video Podcast, we bridge the gap between satellite-based observations and...In this episode of the NASA Live Video Podcast, we bridge the gap between satellite-based observations and ground-level reality. Aerosol Optical Depth (AOD) from NASA’s Applied Remote Sensing Training (ARSET) program provides a powerful column-integrated view of particles in our atmosphere from space. But how accurately does it reflect PM2.5—the fine particulate matter we actually breathe on the ground?
Join us as we explore the complex relationship between these two critical environmental metrics. We break down the exact scientific conditions where AOD and PM2.5 align perfectly, and more importantly, the meteorological factors—like atmospheric mixing heights and transport layers—where their relationship breaks down completely.
Whether you are an environmental scientist, a data enthusiast, or just curious about how NASA tracks air quality from orbit, this episode offers vital insights into modern satellite data applications. Subscribe to the NASA Live Video Podcast to catch the next part of this series and stay connected with the frontier of space and earth science!]]>4434false11full