EarthML

EarthML is an advanced Python library engineered to streamline the analysis of geospatial and remote sensing data. Developed with a vision to cover a wide array of functionalities, EarthML currently supports geospatial data conversion into geohashes, and pre-processing of Synthetic Aperture Radar (SAR) datasets from Sentinel-1, ALOS PALSAR, and TerraSAR-X. Features: 1. Geohash Calculation: Automatically computes the smallest geohash that represents the geographical bounds of the dataset. 2. SAR Data Pre-Processing: Offers functionalities for pre-processing steps on SAR datasets from Sentinel-1, ALOS PALSAR, and TerraSAR-X. This includes thermal noise removal, radiometric calibration, speckle filtering, and geometric correction. 3. Future-Ready: EarthML is actively improving with a roadmap for integration of other remote sensing sensors such as LiDAR 🌲, Hyperspectral 🌈, and Multispectral Optical 📸. Collaborate with EarthML: 🛰️ For Remote Sensing Specialists : If you have an M.Sc. or higher qualification in Remote Sensing and recognize gaps in the geospatial market that no other python library address, I'd love to hear your insights. Please feel free to connect and drop me a direct message. 👩💻 For Contributors: Passionate about shaping the future of geospatial analysis with us? To maintain the quality and expertise of EarthML, we welcome contributors with an M.Sc. or higher qualification in Remote Sensing. Looking forward to innovative collaborations!