Tools tagged with "Cloud Masking"

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.

Copernicus Browser is a powerful open-source web application designed for searching, visualizing, and analyzing satellite imagery from Sentinel-1, 2, 3, and 5P missions. It enables users to explore vast Earth Observation datasets, tweak rendering parameters, and download raw data or create custom visualizations. The platform is an integral part of the Copernicus Data Space Ecosystem, providing free access to advanced geospatial features for end-users.

This AWS registry provides free and open access to Sentinel-2 satellite imagery, a land monitoring mission offering high-resolution optical data globally every five days. It includes both L1C and L2A data, regularly updated within hours of availability. The data supports various ongoing studies and applications.

EOReader is a powerful open-source Python library designed for remote sensing applications. It provides a sensor-agnostic framework for reading and processing data from a wide range of optical and Synthetic Aperture Radar (SAR) satellite constellations. Users can efficiently load and stack various components such as spectral bands, cloud masks, Digital Elevation Models (DEMs), and spectral indices, simplifying complex satellite imagery workflows.

OmniCloudMask is a Python library designed for state-of-the-art cloud and cloud shadow segmentation in high to moderate resolution satellite imagery. It offers higher accuracy and supports a wide range of resolutions, sensors, and processing levels, validated on data from Sentinel-2, PlanetScope, Landsat, and Maxar.

EOxCloudless provides high-resolution, cloud-free satellite imagery derived from the ESA Copernicus Sentinel-2 mission. These elaborately post-processed images are optimized for various applications, including web maps and desktop GIS tools. The service offers both prerendered map caches and source mosaics for diverse user needs.