Tools tagged with "Atmospheric Correction"

The force framework offers an open-source solution for operational radiometric correction, essential for accurate environmental monitoring. It processes satellite imagery to mitigate atmospheric and sensor effects, ensuring reliable data for analysis. This framework supports consistent, high-quality data generation for long-term environmental assessments and research.

rio-color is a lightweight rasterio plugin that enables basic color-oriented image operations on geospatial rasters. It offers gamma adjustment, sigmoidal contrast, and saturation controls, specifically designed for efficiency and to retain all GeoTIFF information.

Sentle is an open-source Python package designed for downloading and processing Sentinel-1 and Sentinel-2 satellite data cubes at a large scale, even exceeding memory limits. It provides functionalities for cloud detection, snow masking, data harmonization, merging, and generating temporal composites from the imagery. The tool aims to simplify the complex workflow of preparing satellite data for analysis across diverse applications.

This dataset offers Digital Earth Africa Sentinel-2 Level-2A bottom-of-atmosphere reflectance data covering the African continent. Derived from the European Union Copernicus Sentinel-2 mission, it provides analysis-ready data ideal for various research and applications. New scenes are added regularly, usually within hours of their availability from Copernicus OpenHub.

Satpy is an open-source Python library designed for reading, processing, and visualizing data from various earth-observing satellites. It provides a flexible framework for handling different satellite instruments, enabling users to generate composites, apply atmospheric corrections, and perform re-sampling operations. This tool is invaluable for researchers and developers working with meteorological and environmental satellite imagery.