SSL4EO S12 Landsat Multi Product Dataset

EOSDA Crop Monitoring - digital satellite-based one-stop precision agriculture platform for field monitoring. Classification of field crops is an essential part of agriculture as a business. EOSDA offers a fast and easy solution relying on years of experience in precision agriculture, as well as expertise in the application of AI-powered algorithms, and remote sensing. EOSDA team of data scientists and engineers has developed effective techniques for crop yield estimation using remote sensing and machine learning models. We`re relying on earth observation data retrieved from satellites to cover areas ranging from individual farms to regions.

The Sentinel1 Single Look Complex (SLC) unzipped dataset contains Synthetic Aperture Radar (SAR) data from the European Space Agency's Sentinel-1 mission. Different from the zipped data provided by ESA, this dataset allows direct access to individual swaths required for a given study area, thus drastically minimizing the storage and downloading time requirements of a project. Since the data is stored on S3, users can utilize the boto3 library and s3 get_object method to read the entire content of the object into the memory for processing, without actually having to download it. The Sentinel-1 constellation consists of two satellites equipped with SAR sensors and a combined revisit time of six days. SAR imagery gets recorded regardless of weather conditions and daylight, which makes it ideally suited for monitoring land-use changes, surface deformations, land applications, oil spills, sea-ice, natural hazards, and for emergency response. In its current first stage, the dataset cove[...]

EOSDA Crop Monitoring - digital satellite-based one-stop precision agriculture platform for field monitoring. Classification of field crops is an essential part of agriculture as a business. EOSDA offers a fast and easy solution relying on years of experience in precision agriculture, as well as expertise in the application of AI-powered algorithms, and remote sensing.

This dataset contains Level-3 Dynamic OPERA surface water extent product version 1. The data are validated surface water extent observations beginning April 2023. Known issues and caveats on usage are described under Documentation. The input dataset for generating each product is the Harmonized Landsat-8 and Sentinel-2A/B/C (HLS) product version 2.0. HLS products provide surface reflectance (SR) data from the Operational Land Imager (OLI) aboard the Landsat 8 satellite and the MultiSpectral Instrument (MSI) aboard the Sentinel-2A/B/C satellite. The surface water extent products are distributed over projected map coordinates using the Universal Transverse Mercator (UTM) projection. Each UTM tile covers an area of 109.8 km × 109.8 km. This area is divided into 3,660 rows and 3,660 columns at 30-m pixel spacing. Each product is distributed as a set of 10 GeoTIFF (Geographic Tagged Image File Format) files including water classification, associated confidence, land cover classificati[...]