Stakeholder Engagement Program (SEP)
NASA's Satellite Needs Working Group (SNWG) 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.
Harmonized Landsat Sentinel-2 (HLS)
| Focus Area | Topic | Title | Source |
|---|---|---|---|
| Fundamentals of Land Surface Remote Sensing | Background on Remote Sensing | Fundamentals of Remote Sensing | NASA 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) | NASA 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 | NASA/ARSET | |
| Crop and Vegetation Phenology | Understanding Phenology Using Remote Sensing | NASA/ARSET | |
| Burn Scar Mapping | Techniques for Wildfire Detection and Monitoring | NASA/ARSET | |
| Land Cover Classification | Land Cover Classification with Satellite Imagery | NASA/ARSET |
Page Last Updated: Nov 23, 2021 at 10:42 AM EST