NASA LIVE VIDEO PODCAST

Epizodes

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  NASA ARSET Introducción a Lidar de Forma de Onda Completa 11.08.2026 1h 59min

  Welcome to this highly technical and foundational episode of the NASA Live Video Podcast: "NASA ARSET: Introducción a Lidar de Forma de Onda Completa."In this episode, we explore one of the most powerful active remote sensing technologies used to measure the 3D structure of Earth's surface and vegetation canopies: Full-Waveform Light Detection and Ranging (LiDAR). While discrete-return LiDAR systems capture specific reflection points, full-waveform systems record the continuous, complete energy echo returned to the sensor, offering an unprecedented level of vertical detail.Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the core physical principles and data processing techniques of full-waveform LiDAR technology. We discuss how analyzing the entire returned wave signal allows scientists to extract complex structural parameters—such as detailed canopy height profiles, sub-canopy topography, and ground surface elevation. Furthermore, we examine real-world applications across forestry, aboveground biomass estimation, coastal zone mapping, and terrain modeling, highlighting how spaceborne sensors like NASA's GEDI utilize waveform mechanics to map planetary ecology.Whether you are a GIS professional, a forestry analyst, a remote sensing researcher, or a space enthusiast curious about how lasers reveal the hidden architecture of Earth's landscapes, this episode offers essential technical 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!
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  NASA ARSET Working with Gap-Filled SIF Products 11.08.2026 1h 28min

  Welcome to this highly practical and data-focused episode of the NASA Live Video Podcast: "NASA ARSET: Working with Gap-Filled SIF Products."In this episode, we bridge the gap between complex satellite telemetry and actionable environmental modeling by focusing on Solar-Induced Chlorophyll Fluorescence (SIF). While SIF data provides the most direct spaceborne proxy for plant photosynthesis and gross primary productivity (GPP), raw satellite observations are frequently hindered by orbital track gaps, cloud cover, and spatial resolution constraints. To overcome these barriers, scientists rely on sophisticated gap-filling methodologies to create continuous, high-resolution datasets.Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the operational techniques required to effectively process and analyze gap-filled SIF data products. We explore how machine learning algorithms, spatial re-sampling, and multi-sensor data fusion are used to reconstruct missing spatiotemporal values. Furthermore, we demonstrate practical workflows for integrating these seamless SIF products into regional carbon budget modeling, agricultural yield forecasting, and early-warning systems for vegetation stress and flash droughts.Whether you are a GIS specialist, an agricultural data analyst, an ecologist, or a space enthusiast eager to learn how continuous satellite observations track the living Earth, this episode provides essential technical workflows. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, remote sensing data analytics, and cutting-edge earth science!
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  NASA ARSET_ Introduction to Full-Waveform Lidar 08.08.2026 2h

  Welcome to this highly technical and foundational episode of the NASA Live Video Podcast: "NASA ARSET: Introduction to Full-Waveform LiDAR."In this episode, we explore one of the most powerful active remote sensing technologies used to measure the 3D structure of Earth's surface and vegetation canopies: Full-Waveform Light Detection and Ranging (LiDAR). While discrete-return LiDAR systems capture specific reflection points, full-waveform systems record the continuous, complete energy echo returned to the sensor, offering an unprecedented level of vertical detail.Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the core physical principles and data processing techniques of full-waveform LiDAR technology. We discuss how analyzing the entire returned wave signal allows scientists to extract complex structural parameters—such as detailed canopy height profiles, sub-canopy topography, and ground surface elevation. Furthermore, we examine real-world applications across forestry, aboveground biomass estimation, coastal zone mapping, and terrain modeling, highlighting how spaceborne sensors like NASA's GEDI utilize waveform mechanics to map planetary ecology.Whether you are a GIS professional, a forestry analyst, a remote sensing researcher, or a space enthusiast curious about how lasers reveal the hidden architecture of Earth's landscapes, this episode offers essential technical 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!
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  NASA ARSET Overview of OCO-2 and OCO-3 Observing Modes and SIF Observations 01.08.2026 1h 34min

  Welcome to this highly specialized and atmospheric-focused episode of the NASA Live Video Podcast: "NASA ARSET: Overview of OCO-2 and OCO-3 Observing Modes and SIF Observations."In this episode, we take a deep dive into NASA’s Orbiting Carbon Observatory missions—OCO-2 and OCO-3—to explore how spaceborne spectrometers track global carbon dynamics and plant health from space. As carbon dioxide (CO_2) emissions continue to reshape Earth's climate system, precise satellite tracking of carbon sources, sinks, and photosynthetic fluxes is essential for environmental modeling and policy.Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the operational mechanics of OCO-2 in its polar orbit alongside OCO-3 aboard the International Space Station (ISS). We explain their primary observing modes—including Nadir, Glint, Target, and OCO-3’s unique Snapshot Area Mapping (SAM) mode—and discuss how these modes capture localized urban emissions as well as vast oceanic and terrestrial footprints. Furthermore, we examine how these missions collect Solar-Induced Chlorophyll Fluorescence (SIF) observations, providing a direct proxy for global vegetation health and photosynthetic activity.Whether you are a climate scientist, an atmospheric researcher, a carbon auditor, or a space enthusiast eager to learn how NASA tracks carbon and planetary photosynthesis from orbit, this episode delivers vital technical insights. Subscribe to the NASA Live Video Podcast to stay connected with the absolute frontier of space exploration, satellite observations, and cutting-edge earth science!
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  NASA ARSET_ Estimación de PM2.5 a partir del AOD – Metodologías y Conjuntos de Datos Disponibles 19.07.2026 2h 13min

  Welcome to this highly analytical and public health-focused episode of the NASA Live Video Podcast: "NASA ARSET: Estimación de PM2.5 a partir del AOD – Metodologías y Conjuntos de Datos Disponibles."In this episode, we tackle one of the most critical challenges in atmospheric science and environmental monitoring: tracking fine particulate matter (PM_{2.5}) from space. While ground-based air quality monitoring stations provide highly accurate tracking, their spatial coverage is heavily limited. To fill these global gaps, scientists rely on satellite-derived Aerosol Optical Depth (AOD) data to estimate ground-level air pollution and assess public health risks on a global scale.Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the core methodologies used to translate columnar AOD values into accurate, surface-level PM_{2.5} measurements. We explore various quantitative approaches, ranging from standard empirical and statistical regressions to advanced chemical transport models and machine learning frameworks. Additionally, we provide a comprehensive overview of available open-access datasets—such as those from MODIS, VIIRS, and MAIAC—and discuss how to account for meteorological variables like planetary boundary layer height and relative humidity.Whether you are an air quality manager, an epidemiologist, an atmospheric researcher, or a space enthusiast curious about how satellite optics measure the microscopic particles in the air we breathe, this episode delivers essential technical insights. Subscribe to the NASA Live Video Podcast to stay connected with the absolute frontier of space exploration, remote sensing data application, and cutting-edge earth science!
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  NASA ARSET_ Monitoring Earthquakes_ Volcanoes_ and Landslides with NISAR_s InSAR Capability 19.07.2026 2h 8min

  Welcome to this high-stakes and geologically fascinating episode of the NASA Live Video Podcast: "NASA ARSET: Monitoring Earthquakes, Volcanoes, and Landslides with NISAR's InSAR Capability."In this episode, we explore how spaceborne radar operates as a critical planetary diagnostic tool on the frontlines of geohazard monitoring and disaster management. Our planet's crust is constantly shifting, often with devastating consequences. Detecting these subtle ground deformations before and after major natural hazards occurs is vital for risk reduction, structural engineering, and saving lives.Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we dive deep into the groundbreaking capabilities of the upcoming NISAR (NASA-ISRO Synthetic Aperture Radar) mission, focusing specifically on its Interferometric SAR (InSAR) capability. We break down how NISAR's dual-frequency (L-band and S-band) radar can penetrate dense vegetation and weather barriers to track millimeter-scale movements of the Earth's surface. Discover how scientists utilize InSAR data to map surface ruptures from earthquakes, track magma movement under active volcanoes, and monitor slow-moving landslides to establish early warning indicators.Whether you are a seismologist, a volcanologist, a geomorphologist, an emergency responder, or a space enthusiast eager to see how advanced radar technology tracks planetary hazards from orbit, 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 data, and cutting-edge earth science!
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  NASA ARSET_ Estimation of PM2.5 from AOD – Methodologies and Available Datasets 19.07.2026 2h 20min

  Welcome to this highly analytical and public health-focused episode of the NASA Live Video Podcast: "NASA ARSET: Estimation of PM2.5 from AOD – Methodologies and Available Datasets."In this episode, we tackle one of the most critical challenges in atmospheric science and environmental monitoring: tracking fine particulate matter (PM_{2.5}) from space. While ground-based air quality monitoring stations provide highly accurate tracking, their spatial coverage is heavily limited. To fill these global gaps, scientists rely on satellite-derived Aerosol Optical Depth (AOD) data to estimate ground-level air pollution and assess public health risks on a global scale.Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the core methodologies used to translate columnar AOD values into accurate, surface-level PM_{2.5} measurements. We explore various quantitative approaches, ranging from standard empirical and statistical regressions to advanced chemical transport models and machine learning frameworks. Additionally, we provide a comprehensive overview of available open-access datasets—such as those from MODIS, VIIRS, and MAIAC—and discuss how to account for meteorological variables like planetary boundary layer height and relative humidity.Whether you are an air quality manager, an epidemiologist, an atmospheric researcher, or a space enthusiast curious about how satellite optics measure the microscopic particles in the air we breathe, this episode delivers essential technical insights. Subscribe to the NASA Live Video Podcast to stay connected with the absolute frontier of space exploration, remote sensing data application, and cutting-edge earth science!
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  NASA ARSET Building Evaluating and Interpreting a SDM 19.07.2026 1h 55min

  Welcome to this highly analytical and ecologically vital episode of the NASA Live Video Podcast: "NASA ARSET: Building, Evaluating, and Interpreting a SDM."In this episode, we bridge the gap between spaceborne observations and biodiversity conservation to explore the end-to-end workflow of Species Distribution Modeling (SDM). As climate change and habitat loss accelerate global ecosystem shifts, knowing where vulnerable or invasive species are likely to survive is critical. Satellite remote sensing gives us the environmental layers needed to predict these ecological footprints across space and time.Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we break down the rigorous scientific steps required to build, evaluate, and interpret a robust SDM. We discuss how to prepare occurrence data, integrate NASA Earth observations—such as MODIS, Landsat, and GEDI terrain layers—as environmental predictors, and run predictive algorithms. Going beyond model creation, we dive deep into evaluation metrics like AUC and True Skill Statistic (TSS), and discuss how to accurately interpret the final probability maps to guide real-world wildlife management and policy decisions.Whether you are an ecologist, a conservation biologist, a GIS developer, or a space enthusiast eager to see how satellite data maps the living world, this episode offers comprehensive, practical insights. Subscribe to the NASA Live Video Podcast to stay connected with the absolute frontier of space exploration, ecological modeling, and cutting-edge earth science!
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  NASA ARSET_ Acceso a Datos y Herramientas de NISAR 19.07.2026 2h 17min

  Welcome to Sessions 2 & 3 of our specialized series on next-generation radar data: "NASA ARSET: Acceso a Datos y Herramientas de NISAR - Sesión 2_3."In this advanced double-session episode of the NASA Live Video Podcast, we shift our focus from the theoretical parameters of radar science to the actual infrastructure built for retrieving and processing cloud-free planetary data. The upcoming NISAR (NASA-ISRO Synthetic Aperture Radar) mission is set to generate an unprecedented volume of high-resolution L-band and S-band SAR data, making it essential for researchers worldwide to master the specialized data pipelines and cloud architectures designed to handle it.Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we provide a hands-on guide to navigating the primary data portals and open-access toolkits developed for the NISAR ecosystem. We break down how to discover, filter, and download sample and simulated NISAR datasets through platforms like NASA's ASF DAAC (Alaska Satellite Facility Distributed Active Archive Center). Furthermore, we demonstrate how to utilize open-source Python libraries, Jupyter Notebooks, and cloud-optimized data formats to perform core pre-processing steps—including geocoding, radiometric calibration, and interferometric workflows.Whether you are a GIS expert, a disaster response coordinator, an environmental scientist, or a space enthusiast eager to prepare for the most ambitious radar mapping mission in history, these sessions deliver critical technical workflows. Subscribe to the NASA Live Video Podcast to catch up on the entire series and stay connected with the absolute frontier of space exploration, remote sensing tools, and cutting-edge earth science!
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  NASA ARSET NISAR Data Access and Tools Session 2-3 19.07.2026 2h 7min

  Welcome to Sessions 2 & 3 of our specialized series on next-generation radar data: "NASA ARSET: NISAR Data Access and Tools - Session 2_3."In this advanced double-session episode of the NASA Live Video Podcast, we shift our focus from the theoretical parameters of radar science to the actual infrastructure built for retrieving and processing cloud-free planetary data. The upcoming NISAR (NASA-ISRO Synthetic Aperture Radar) mission is set to generate an unprecedented volume of high-resolution L-band and S-band SAR data, making it essential for researchers worldwide to master the specialized data pipelines and cloud architectures designed to handle it.Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we provide a hands-on guide to navigating the primary data portals and open-access toolkits developed for the NISAR ecosystem. We break down how to discover, filter, and download sample and simulated NISAR datasets through platforms like NASA's ASF DAAC (Alaska Satellite Facility Distributed Active Archive Center). Furthermore, we demonstrate how to utilize open-source Python libraries, Jupyter Notebooks, and cloud-optimized data formats to perform core pre-processing steps—including geocoding, radiometric calibration, and interferometric workflows.Whether you are a GIS expert, a disaster response coordinator, an environmental scientist, or a space enthusiast eager to prepare for the most ambitious radar mapping mission in history, these sessions deliver critical technical workflows. Subscribe to the NASA Live Video Podcast to catch up on the entire series and stay connected with the absolute frontier of space exploration, remote sensing tools, and cutting-edge earth science!
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  NASA ARSET Introduction and Demonstration of STREAM 11.07.2026 1h 27min

  Welcome 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 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!
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  NASA ARSET - Introducción a la Misión GEDI y sus Productos Derivados 11.07.2026 1h 44min

  Welcome 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 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!
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  NASA ARSET Case Studies in Trace Gas Monitoring with North American Geostationary Sensors 10.07.2026 1h 29min

  Welcome 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 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!
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  NASA ARSET Datos de SIF Completos (Gap-Filled) 10.07.2026 1h 59min

  Welcome 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 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!
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  NASA ARSET Introduction to the GEDI Mission and its Derived Products 10.07.2026 1h 38min

  Welcome 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 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!
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  NASA ARSET North American Geostationary Trace Gas Data Products for Air Quality 10.07.2026 1h 35min

  Welcome 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 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!
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  NASA ARSET Post-Fire Imagery and Smoke Monitoring 10.07.2026 1h

  Welcome 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, 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!
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  NASA ARSET Data Analysis and Visualization 10.07.2026 54min

  Welcome 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 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!
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  NASA ARSET NASA ATL24 Bathymetric Data for Coastal and Near-Shore Applications 10.07.2026 1h 36min

  Welcome 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 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!
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  NASA ARSET_ Techniques for Plotting and Analyzing ATL24 Coastal Bathymetry Part 2 10.07.2026 2h 2min

  Welcome 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 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!