NASA's Satellite Needs Working Group Management Office (SNWG MO) includes a Stakeholder Engagement Program (SEP) focused on supporting SNWG product user communities with relevant training and end-user engagement activities. SEP efforts include aggregation and delivery of relevant training in remote sensing topics, background on developed products, and training on how to efficiently access and utilize new products for stakeholder decision-making. Resources aggregated or provided by SEP focus on NASA and partner contributions in areas of remote sensing training, code recipes, and data processing.
The biennial SNWG survey and assessment cycles have led to the funding of new solutions which undergo processes for their formulation, implementation, and operational deployment. Solutions developed and deployed for operational use through new web portals, data products, and other capabilities are referenced below with links that direct users to more information.
- Catalog of Archived Suborbital Earth Science Investigations (CASEI)
CASEI facilitates quick access to detailed information about NASA’s Earth Science airborne and field investigations and provides curated information about the context, research motivation, funding, and details of non-satellite instruments and platforms.
- Commercial Smallsat Data Acquisition (CSDA) Program
NASA began exploring the purchase of commercial land surface imagery and other products in 2018 and based upon needs stated by agency partners, recently expanded license agreements to facilitate access to commercial imagery for researchers and many federal agencies. Read more about CSDA.
Focus Area Topic Title Source Fundamentals of Remote Sensing Background on Remote Sensing Fundamentals of Remote Sensing NASA ARSET Orbits, Sensors, and Spatial Resolutions What is Remote Sensing? NASA Earthdata Remote Sensing Overview From Pixels to Products: An Overview of Satellite Remote Sensing Earthdata / IMPACT Missions and Instruments Overview of Planet Constellations Planet | Insights - Our Constellations Planet PlanetScope Overview PlanetScope Planet PlanetScope Mission and Instrument Specifications PlanetScope - Earth Online European Space Agency (ESA) SkySat Overview SkySat Planet SkySat Mission and Instrument Specifications SkySat - Earth Online ESA Data Products and Descriptions Summary of Planet Products Satellite Imagery Products | Planet Planet Planet Imagery Product Specifications Planet Imagery Product Specifications Planet Data Access and Code Examples Planet Data Access CSDA Commercial Datasets NASA Open-Source Tools for Planet Data Users Resources for Planet Users Planet Tool for Searching and Accessing Commercial Smallsat Data Acquired by NASA CSDA Smallsat Data Explorer CSDA Use Case and Application Examples Overview of Planet and Potential Applications Planet Overview Planet On-demand Webinars and Use Cases for Planet Data Planet Resources Planet Using Planet Data to Complete a Growing Season Assessment USDA’s National Agricultural Statistics Service To Use Planet Basemaps To Support Their 2021 Growing Season Assessment Planet Using PlanetScope Data for Air Quality Research Exploring the Use of PlanetScope Data for Particulate Matter Air Quality Research MDPI Remote Sensing Using PlanetScope Imagery to Assess Crop Yield Variability Assessing within-Field Corn and Soybean Yield Variability from WorldView-3, Planet, Sentinel-2, and Landsat 8 Satellite Imagery MDPI Remote Sensing Generating Automated DEMs from Planet SkySat Imagery Automated DEM generation from very-high-resolution Planet SkySat triplet stereo and video imagery Elsevier ISPRS Journal of Photogrammetry and Remote Sensing Focus Area Topic Title Source Fundamentals of Remote Sensing Background on Remote Sensing Fundamentals of Remote Sensing ARSET Orbits, Sensors, and Spatial Resolutions What is Remote Sensing? Earthdata Remote Sensing Overview From Pixels to Products: An Overview of Satellite Remote Sensing Earthdata / IMPACT Series on satellite imagery basics Satellite Imagery Basics Maxar Missions and Instruments Overview of WorldView series WorldView Series ESA WorldView-1 Technical Specifications WorldView-1 Data Sheet Maxar WorldView-2 Technical Specifications WorldView-2 Data Sheet Maxar WorldView-3 Technical Specifications WorldView-3 Data Sheet Maxar WorldView-4 Technical Specifications WorldView-4 Data Sheet Maxar Data Products and Descriptions Maxar Product Overview Product Overview Maxar View-Ready Data Product Specifications View-Ready (2A) Imagery Maxar Analysis-Ready Data Product Specifications Analysis Ready Data Maxar ESA WorldView Data Products ESA WorldView Data Products ESA Data Access and Code Examples WorldView Data Access NASA CSDA Program Commercial Datasets NASA Maxar High-Resolution Satellite Data Access through NASA / NGA NASA / NGA Commercial Archive Data NASA / NGA Maxar Data Viewer Maxar - Archive Search & Discovery Maxar WorldView Data Access through Sentinel Hub Sentinel Hub WorldView Data Access Sentinel Hub Maxar On-Demand Imagery Access Maxar SecureWatch Maxar Use Case and Application Examples Government and Commercial Use Cases for Maxar products Maxar Product Use Cases Maxar Mapping Methane Plumes WorldView-3 satellite maps methane plumes at very high spatial resolution ESA High-resolution DEMs from CSDA and PGC New in CSDA: High Resolution Digital Elevation Models CSDA Monitoring Shoreline Change in Coastal Wetlands Coastal Wetland Shoreline Change Monitoring MDPI Remote Sensing Counting Trees in Africa’s Drylands Counting Trees in Africa’s Drylands NASA
- Harmonized Landsat Sentinel-2 (HLS)
HLS provides consistent surface reflectance (SR) data from the Operational Land Imager (OLI) aboard the joint NASA/USGS Landsat 8 satellite and the Multi-Spectral Instrument (MSI) aboard the European Space Agency’s (ESA) Copernicus Sentinel-2A and Sentinel-2B satellites. The combined measurement enables global observations of land every 2–3 days at 30 m spatial resolution. Our SEP effort provides resources on the use of HLS in collaboration with NASA’s LP DAAC, Applied Science: Capacity Building program, and other partners.
Focus Area Topic Title Source Fundamentals of Land Surface Remote Sensing Background on Remote Sensing Fundamentals of Remote Sensing ARSET Background on Remote Sensing From Pixels to Products: An Overview of Satellite Remote Sensing Earthdata / IMPACT Orbits, Sensors, and Spatial Resolutions What is Remote Sensing? Earthdata Missions and Instruments Landsat Series Landsat NASA Sentinel-2 Series Sentinel-2 Missions ESA Combined Orbits Landsat with Sentinel: Global Coverage Goddard Scientific Visualization Studio Data Products and Descriptions Harmonized Landsat Sentinel-2 (HLS) Harmonized Landsat Sentinel-2 (HLS) Earthdata HLS L30 Dataset Landing Page HLSL30 v2.0 LP DAAC HLS S30 Dataset Landing Page HLSS30 v2.0 LP DAAC HLS Algorithm Algorithm Theoretical Basis Document LP DAAC HLS User Guide HLS User Guide LP DAAC Details about HLS Imagery Products HLS SNWG Product Fact Sheet (PDF) IMPACT Data Access and Code Examples Data Access and Manipulation Getting Started with Cloud-Native HLS Data in Python LP DAAC Details about the STAC API STAC API RadiantEarth / StacSpec Use Case and Application Examples Example Applications Harmonized Landsat 8 and Sentinel-2 Data Goddard Scientific Visualization Studio True and False Color Combinations Common Landsat Band RGB Composites USGS Vegetation Indices Creating and Using NDVI from Satellite Imagery ARSET Crop and Vegetation Phenology Understanding Phenology Using Remote Sensing ARSET Burn Scar Mapping Techniques for Wildfire Detection and Monitoring ARSET Land Cover Classification Land Cover Classification with Satellite Imagery ARSET
- Ice, Cloud & Land Elevation Satellite-2 (ICESat-2) Quick Look Products
Users of ICESat-2 data for various atmospheric, land, and ice analysis submitted needs for products to be generated with reduced latency. As a result, an SNWG MO solution focused on the generation of ICESat-2 “Quick Look” products, that can be delivered at reduced latency relative to the standard ICESat-2 products permanently archived by NSIDC DAAC. Quick Look versions of products focus on latency of 3-5 days versus the typical 45-day latency of standard products.
Products to be developed as Quick Look versions include atmospheric profiles, along-track sea ice, vegetation and canopy height, and inland water bodies. In addition, the ICESat-2 team will explore development of a new Lake Ice Freeboard product with standard and quick-look latency. ICESat-2 Quick Look products will be released to the community as they are developed, with training and engagement supported by the SNWG Stakeholder Engagement Program.
Focus Area Topic Title Source Fundamentals of LiDAR Remote Sensing Background on LiDAR Remote Sensing The Fundamentals of LiDAR ARSET Background on LiDAR Remote Sensing Sensing Our Earth from Above NASA's Langley Research Center/ASDC Background on LiDAR Remote Sensing The Basics of LiDAR - Light Detection and Ranging - Remote Sensing NSF Missions and Instruments ICESat-2 Mission ICESat-2 Mission Page NASA's Goddard Space Flight Center ICESat-2 Technical Specifications ICESat-2 Technical Specs Goddard ICESat-2 ATLAS Space Lasers Goddard ICESat-2 Overview About ICESat-2 Goddard Data Products and Descriptions ICESat-2 Data Description ICESat-2 Data Usher in a New Age of Exploration Earthdata ICESat-2 Data Products (includes ATBDs) ICESat-2 Data Products Goddard ICESat-2 Data Products (includes User Guides) ICESat-2 Data Sets at NSIDC NSIDC ICESat-2 Product Descriptions ICESat-2 Product Descriptions NSIDC Details about ICESat-2 Quick Look Data Products ICESat-2 SNWG Product Fact Sheet IMPACT Data Access and Code Examples Browse ICESat-2 Data OpenAltimetry NASA Browse ICESat-2 Data Earthdata Search NASA ICESat-2 Data Access and Services ICESat-2 Data Access and Services ARSET Open-source Resource Library for Working with ICESat-2 Data icepyx: Python tools for obtaining and working with ICESat-2 data NSIDC Cloud-based Data Processing Service for ICESat-2 Data Products ICESat-2 SlideRule University of Washington / ICESat-2 Program Use Case and Application Examples ICESat-2 Applications ICESat-2 Applications NASA Monitoring Water Level Height Mapping and Monitoring Lakes and Reservoirs with Satellite Observations ARSET ICESat-2 Hackweek Hacking ICESat-2: How an Open Science Workshop Helped Scientists Wrangle Big Data NCCS ICESat-2 Hackweek ICESat-2 Hackweek Learning Resources University of Washington eScience Institute Monitoring Wildlife Hazard Potential Wildfires Goddard Mitigating Volcanic Events Volcanic Hazards Goddard Identifying and Tracking Icebergs Iceberg Hazards Goddard
- Observation Products for End-Users for Remote Sensing Analysis (OPERA)
Started in April 2021, the Observation Products for End-Users for Remote Sensing Analysis (OPERA) project at the Jet Propulsion Laboratory collects data from satellite radar and optical instruments to generate three products that respond to the needs identified by various federal agencies during the 2018 cycle (a.k.a., Cycle 2) of the SNWG MO development activities, namely:
- a near-global Surface Water Extent product suite,
- a near-global Surface Disturbance product suite, and
- a North-America Displacement product suite.
The first is generated from synthetic aperture radar (SAR) and optical data. The second is generated from optical data only. The third is generated from Interferometric SAR data. In addition, OPERA is producing two intermediate SAR data products:
- a North America land coregistered single-look complex (CSLC) product suite; and
- a near-global land-surface radiometric terrain-corrected (RTC) product.
The OPERA data products and time series are derived from measurements made by the instruments aboard the Sentinel-1A/1B, Sentinel-2A/2B, and Landsat-8 satellites, to be augmented by the measurements from the radars on the soon-to-be-launched NISAR and SWOT satellites. All products will be distributed though NASA's Distributed Active Archive Centers (DAACs).
As part of its SNWG activities the OPERA team engages in coordination with the overall SNWG SEP managed by the SNWG program office at IMPACT. This includes end-user engagement and training with federal agencies, interested satellite data users, and members of the broader science and applications communities.
For more information on the project and its activities visit the OPERA website.