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UW-GCRL / SmallSat_hyperspectral_reconstruction
Forked from FujiangJi/SmallSat_hyperspectral_reconstructionMain repository for "Operational machine learning for remote spectroscopic detection of CH4 point sources" - https://arxiv.org/abs/2511.07719
A python-based package to automatically map wetlands, their hydrodynamics, and their bio-physical cover types. It works with an xarray timeseries data or user can provide an AOI and the timeseries …
Methodologies to estimate sensitivity and correction factors for methane flux rate uncertainty sources
Easy and Robust Automatic CH4 and CO2 detection and quantification with hyperspectral satellites
Fast, async GeoTIFF and COG reader for Python
Clusteval provides methods for unsupervised cluster validation
Code to accompany manuscript "Leveraging additional VIIRS information to improve fire tracking and emissions estimation in the Western US" 2024
Beancount Importers for ING (Germany) CSV Exports
HAPI2LIBIS software for high-resolution spectral RT in libRadtran
A map-first STAC search and visualization tool, with stac-geoparquet support
Lecture notes for Statistical Methods in Earth and Atmospheric Sciences
Dutch Atmospheric Large-Eddy Simulation model with revised emission module
A Happy and lightweight Python Package that Provides an API to search for articles on Google News and returns a JSON response.
A repository to vet trace gas plumes using atmospheric transmittance profiles
OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.
Sentinel-1 & Sentinel-2 data cubes at large scale (bigger-than-memory) on any machine with integrated cloud detection, snow masking, harmonization, merging, and temporal composites.
Paper Repository for Towards Operational Automated Greenhouse Gas Plume Detection
rattler-build is a universal Conda package builder for Windows, macOS and Linux (like conda-build but faster)
A markup-based typesetting system that is powerful and easy to learn.
A non-exhaustive list of open resources to help environmental scientists get started with machine learning
Official code for HyperspectralViTs: General Hyperspectral Models for On-board Remote Sensing 🌈🛰️
Fast and scalable computation of regridding weights.
The main goal of Sen2Like is to generate Sentinel-2 like harmonised/fused surface reflectances with higher periodicity by integrating additional compatible optical mission sensors.