NASA LIVE VIDEO PODCAST

Welcome to this hands-on spatial analytics episode of the NASA Live Video Podcast: "Calculating Spectral Indices For Land and Aquatic Applications Using QGIS."
In this episode, we bridge satellite remote sensing theory with open-source GIS software to extract critical environmental indicators across both terrestrial and aquatic ecosystems. Multispectral satellite imagery—such as that from Landsat and Sentinel-2—captures surface reflectance across non-visible electromagnetic bands, allowing scientists to transform raw pixel values into actionable indices for vegetation, water quality, and land surface analysis.
We provide step-by-step guidance on processing multispectral imagery within QGIS using the Raster Calculator and automated plugins. For terrestrial applications, we cover essential land indices such as the Normalized Difference Vegetation Index (NDVI) for crop health, the Enhanced Vegetation Index (EVI), and the Normalized Difference Burn Ratio (NBR) for wildfire severity. Transitioning to aquatic applications, we demonstrate how to calculate indices like the Normalized Difference Water Index (NDWI) to map open water bodies, as well as modified indices (MNDWI) to assess turbidity, suspended solids, and chlorophyll concentrations in coastal and inland waters.
Whether you are a GIS analyst, an environmental consultant, a limnologist, a forestry specialist, or a space enthusiast eager to learn practical raster processing techniques using NASA and Copernicus satellite data, this episode delivers essential technical skills. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, open-source GIS workflows, and cutting-edge earth science!

Welcome to this critical geohazard and disaster risk reduction episode of the NASA Live Video Podcast: "Remote Sensing For Landslide Science And Disaster Planning."
​In this episode, we examine how satellite-based remote sensing technologies are transforming landslide science and reshaping global strategies for disaster preparedness, risk mitigation, and emergency response. Mass wasting events—such as rainfall-triggered debris flows, slope instabilities, and rockfalls—cause devastating human and economic losses each year. Bridging satellite observation with proactive disaster management is vital for building resilient communities in vulnerable mountainous regions.
​We break down the technical workflows and multi-sensor approaches used by geoscientists to monitor unstable slopes and plan for natural hazards. Discover how high-resolution optical imagery (Sentinel-2, Landsat) provides baseline land cover and historical change detection, while Synthetic Aperture Radar (SAR) and Interferometric SAR (InSAR) track millimeter-scale surface displacements over time. Additionally, we explore how integrating satellite precipitation data (such as GPM IMERG) with high-resolution Digital Elevation Models (DEMs) enables predictive modeling, dynamic hazard mapping, and the creation of operational early warning systems for urban planners and emergency managers.
​Whether you are a disaster risk manager, a geotechnical engineer, an urban planning official, a GIS analyst, or a space enthusiast eager to see how NASA's Earth observation assets protect lives on the ground, this episode offers vital technical and strategic insights. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, remote sensing applications, and cutting-edge earth science!

Welcome to this vital disaster management and geohazard episode of the NASA Live Video Podcast: "Mapping Landslide Occurrence Using Earth Observations."
​In this episode, we explore how Earth-observing satellite technology is revolutionizing our ability to detect, map, and monitor landslide occurrences across rugged, remote, and disaster-prone landscapes. Landslides pose severe threats to human life, infrastructure, and local economies, often triggered by intense rainfall, rapid snowmelt, seismic activity, or deforestation. Rapid and accurate mapping of these hazards is essential for emergency response, vulnerability modeling, and risk mitigation.
​Through practical analytical frameworks, we examine how satellite remote sensing datasets are leveraged to document landslide inventories and assess hazard susceptibility. We explore the use of optical imagery (from Landsat and Sentinel-2) for pre- and post-event change detection, alongside Synthetic Aperture Radar (SAR) and Interferometric SAR (InSAR) techniques for measuring subtle ground surface deformation prior to catastrophic slope failures. Furthermore, we showcase how digital elevation models (DEMs) and satellite-derived precipitation estimates (such as GPM IMERG) are integrated into open-source GIS workflows and machine learning models to map landslide susceptibility and improve early warning systems.
​Whether you are a geoscientist, a disaster management professional, a GIS analyst, an urban planner, or a space enthusiast eager to learn how Earth observation satellites protect vulnerable communities from natural hazards, this episode delivers critical technical insight. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, remote sensing data tools, and cutting-edge earth science!

Welcome to this practical and analytics-focused episode of the NASA Live Video Podcast: "Data Access and Visualization."
​In this episode, we bridge the gap between raw Earth observation datasets and actionable scientific insight. As satellite constellations continuously generate petabytes of high-resolution Earth science data, mastering the tools and workflows needed to discover, access, subset, and visualize this information is vital for researchers, policy analysts, and spatial scientists worldwide.
​We explore the end-to-end data pipeline utilized across NASA's Earth Observing System Data and Information System (EOSDIS) and Distributed Active Archive Centers (DAACs). Learn how to efficiently query and retrieve geospatial data using platforms like Earthdata Search, Giovanni, and Worldview. Furthermore, we demonstrate hands-on techniques for visualizing multidimensional scientific formats (such as NetCDF-4, HDF5, and Cloud-Optimized GeoTIFFs) using open-source GIS tools and Python frameworks like Xarray, Matplotlib, and QGIS to build intuitive geospatial maps and time-series analyses.
​Whether you are a GIS specialist, an environmental data analyst, a remote sensing researcher, or a space enthusiast eager to learn how to unlock and visualize NASA's open-access climate and Earth data, this episode provides essential technical guidance. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, remote sensing tools, and cutting-edge earth science!

Welcome to this strategic, technology-driven episode of the NASA Live Video Podcast: "NASA Space Communications and Navigation: Embracing Commercial Relay Services."
​In this episode, we explore the major paradigm shift transforming how space missions transmit critical data back to Earth. For decades, NASA's Space Communications and Navigation (SCaN) program has relied primarily on government-owned infrastructure like the Tracking and Data Relay Satellite (TDRS) constellation. Today, NASA is actively transitioning toward commercial satellite communications to power the next generation of Earth science, low Earth orbit (LEO) research, and deep space exploration.
​We dive into the technical frameworks and public-private partnerships driving NASA's Communications Services Project (CSP). Discover how integrating commercial GEO and LEO relay satellites enhances bandwidth, reduces operational costs, and ensures robust, continuous data links for future scientific satellites and crewed missions. We also analyze the engineering challenges of inter-operability, optical/laser communications standards, and cybersecurity protocols required to build a seamless, commercially supported space communication architecture.
​Whether you are a satellite communications engineer, a space policy analyst, a aerospace industry professional, or a space enthusiast eager to learn how commercial space tech is modernizing NASA's orbital network, this episode delivers critical industry insights. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, satellite communications, and cutting-edge space science!

Welcome to this high-impact satellite oceanography and hydrology episode of the NASA Live Video Podcast: "SWOT Mission Applications and Retrieving, Visualizing, and Manipulating Data."
​In this episode, we dive into the revolutionary capabilities of the Surface Water and Ocean Topography (SWOT) satellite mission—a joint endeavor between NASA, CNES, CSA, and UKSA. Designed to measure surface water elevations with unprecedented spatial resolution, SWOT provides a high-definition, global view of Earth's ocean surface topography and terrestrial surface water bodies, including rivers, lakes, reservoirs, and wetlands.
​Through practical workflows and technical demonstrations, we explore the core applications of SWOT data across coastal monitoring, ocean dynamics, river discharge estimation, and water resources management. We guide viewers through the end-to-end data pipeline: from accessing and retrieving raw Ka-band Radar Interferometer (KaRIn) products on NASA Earthdata Cloud, to visualizing complex water surface elevation datasets using GIS platforms, Python libraries, and open-source spatial toolkits. Learn how to manipulate SWOT point clouds, rasterized grids, and vector data products to extract actionable insights for climate adaptation and hydrological modeling.
​Whether you are a hydrologist, an oceanographer, a GIS specialist, an environmental data analyst, or a space enthusiast eager to learn how cutting-edge radar interferometry tracks Earth's water budget, this episode delivers essential technical knowledge. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, remote sensing data, and cutting-edge earth science!

Welcome to Part 2 of this biodiversity and spatial analytics series on the NASA Live Video Podcast: "NASA ARSET - Integration of Animal Tracking and Remote Sensing Data."
​Building upon the foundational concepts introduced in Part 1, this episode moves from theory to technical execution—focusing on the precise integration, alignment, and analytical workflows required to fuse animal telemetry with Earth observation datasets.
​Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we dive deep into the spatial and temporal matchmaking of GPS tracking points with dynamic satellite variables. We examine advanced methodologies, such as dynamic Brownian Bridge Movement Models (dBBMM) and Step-Selection Functions (SSF), and demonstrate how environmental covariates—including MODIS surface reflectances, Landsat land cover classifications, and ECOSTRESS evapotranspiration—are extracted along movement trajectories. Furthermore, we showcase open-source software tools and spatial analytics platforms (such as Movebank and Google Earth Engine) that enable ecologists to model habitat selection, assess anthropogenic impacts, and predict species responses to environmental change.
​Whether you are a quantitative ecologist, a GIS professional, a conservation biologist, or a remote sensing specialist looking to master movement-environment analytical pipelines, this episode provides hands-on technical guidance. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, remote sensing data integration, and cutting-edge earth science!

P1  NASA ARSET - Introduction to Animal TracWelcome to this fascinating biodiversity and space-tech episode of the NASA Live Video Podcast: "NASA ARSET - Introduction to Animal Tracking and Remote Sensing At NASA."
​In this episode, we explore the intersection of space technology, movement ecology, and wildlife conservation. Understanding how wildlife species navigate landscapes, migrate across continents, and respond to habitat fragmentation requires tracking movements over vast geographic areas—a challenge where spaceborne remote sensing proves transformative.
​Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we introduce the foundational concepts of integrating telemetry data (GPS, satellite tags, and bio-loggers) with Earth-observing satellite observations. We examine how environmental variables derived from satellites—such as Vegetation Indices (NDVI/EVI), land surface temperature, snow cover, and canopy height—are combined with animal movement paths to map habitat suitability, migration corridors, and human-wildlife conflict zones. Furthermore, we showcase how NASA's open-access spatial datasets empower ecologists and conservation managers to make data-driven decisions for species protection.
​Whether you are a wildlife biologist, a conservation practitioner, a GIS specialist, or a space enthusiast eager to learn how Earth science satellites support biodiversity on land, air, and sea, this episode provides essential foundational insights. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, remote sensing applications, and cutting-edge earth science!
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Welcome to this comprehensive oceanography and climate science episode of the NASA Live Video Podcast: "NASA ARSET: Overview of Sea Level Change – Regional to Global."
​In this episode, we take a deep dive into the dynamic mechanisms driving ocean volume change across various spatial and temporal scales. Sea level rise is not uniform across the globe; while global mean sea level serves as a primary indicator of planetary warming, regional variations driven by ocean currents, winds, thermal expansion, and land vertical motion create complex local impacts that coastal planners must navigate.
​Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we present an overarching look at how Earth-observing satellite missions track the drivers of sea level variability. We explore how altimetry, gravity measurements, and oceanographic buoys are combined to measure steric changes (density and temperature driven) alongside barystatic changes (ice melt and land water storage additions). Furthermore, we break down how satellite observations help bridge the gap between global climate projections and actionable, regional risk assessments for vulnerable coastal zones.
​Whether you are an oceanographer, a climate policy researcher, an environmental consultant, or a space enthusiast curious about how Earth science satellites monitor our changing seas, this episode delivers valuable foundational knowledge. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, satellite observations, and cutting-edge earth science!

Welcome to this highly specialized atmospheric science episode of the NASA Live Video Podcast: "NASA ARSET: LiDAR Profiling Satellite Observations for Air Quality Applications."
​In this episode, we explore how active spaceborne LiDAR (Light Detection and Ranging) sensors provide critical vertical insights into Earth's atmosphere. While traditional passive satellite sensors offer horizontal mapping of air pollution, LiDAR profiling adds the vital third dimension—vertical resolution—allowing atmospheric scientists to detect the exact altitude, layer thickness, and vertical transport of aerosols and particulate matter.
​Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we examine the physics and data products associated with spaceborne LiDAR profiling systems, such as CALIOP aboard CALIPSO and the CATS instrument on the ISS. We discuss how vertical aerosol extinction profiles help differentiate between surface-level air pollution (PM_{2.5}) and elevated smoke plumes, volcanic ash, or dust layers transported over long distances. Additionally, we showcase practical workflows for integrating space-based LiDAR data into air quality monitoring frameworks, chemical transport models, and public health warning systems.
​Whether you are an air quality specialist, an atmospheric modeller, an environmental health researcher, or a space enthusiast eager to learn how satellite lasers measure atmospheric pollution, this episode delivers essential technical knowledge. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, remote sensing data, and cutting-edge earth science!