SSL4EO S12 Landsat Multi Product Dataset

This dataset provides annual cloud-free composite imagery derived from Landsat surface reflectance observations across the Pacific region using geometric median and absolute deviation (GeoMAD) methods. The data are masked for cloud, shadows and other image artefacts using the associated pixel quality product to help provide as clear a set of observations as possible from which to calculate the medians. Along with the geometric median surface reflectance bands, the GeoMAD includes three measures of variability (Euclidean, spectral and Bray- Curtis median absolute deviations: emad, smad and bcmad) and a count of clear observations. The dataset is available annually from 2000 and supports monitoring of vegetation, land cover, and coastal environments.

This data set, part of the NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, provides a complete 15 m resolution image mosaic of the Greenland ice sheet, derived from USGS Landsat 7 ETM+ imagery and Canadian Space Agency's (CSA) RADARSAT-1 imagery from the years 1999 to 2002. Additional bands (some at 30 m resolution) are provided for each tile in the mosaic and are useful for understanding surface properties, such as snow grain size, bedrock outcrops, mapping layering in the snow, and blue ice or lake-filled regions, during the spring and summer months. The panchromatic (band 8) mosaic provides the highest-resolution view of the ice sheet surface at 15 m, resolving topographic features, large crevasses, and other geophysical structures. See Greenland Ice Mapping Project (GIMP) for related data. NSIDC-0714 This data set, part of the NASA Making Earth System Data Records for Use [...]

EOSDA Crop Monitoring - digital satellite-based one-stop precision agriculture platform for field monitoring. Advanced Soil Moisture Mapping at both surface and root zone levels allows for more precise crop yield estimations and reveals important climate trends over time.

The Harmonized Landsat Sentinel-2 (HLS) project provides consistent surface reflectance data from the Operational Land Imager (OLI) aboard the joint NASA/USGS Landsat 8 satellite and the Multi-Spectral Instrument (MSI) aboard Europe’s Copernicus Sentinel-2A, Sentinel-2B, and Sentinel-2C satellites. The combined measurement enables global observations of the land every 2–3 days at 30-meter (m) spatial resolution. The HLS project uses a set of algorithms to obtain seamless products from OLI and MSI that include atmospheric correction, cloud and cloud-shadow masking, spatial co-registration and common gridding, illumination and view angle normalization, and spectral bandpass adjustment. The HLSS30 product provides 30-m Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR) and is derived from Sentinel-2A, Sentinel-2B, and Sentinel-2C MSI data products. The HLSS30 and HLSL30 products are gridded to the same [...]