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A collection of GIS tools for working with higher-level SAR products
Lexcube: 3D Data Cube Visualization in Jupyter Notebooks
Brief Introduction to Hyperspectral Image Analysis - Jupyter Notebook
Shortcode to use pdf embed api from Adobe
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
A Python package for visualizing and analyzing hyperspectral data in coastal regions
Regridding utility for xarray
From scratch Python implementation of the fast ICA algorithm.
A ML-oriented generic patcher for xarray data structures.
Library to calibrate, trigger and capture data cubes for the open source DIY hyperspectral camera.
🌱 A fast line-by-line code for high-resolution infrared molecular spectra
Eradiate: a next-generation radiative transfer model for Earth observation applications
A port of the EPA's Solid Waste Emissions Estimation Tool (SWEET) to Python.
PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry
Computational fluid dynamics code for simulation of turbulent flows in the atmospheric boundary layer
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
Calculate oriented bounding boxes for label images in python
Package to download long-term Google Trends
A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。
MethaneAIR's Blinded Volume Controlled Release Experiments in 2021
Improve the language of your paper before submission
Workflow for geometric and radiometric calibration of airborne imaging spectroscopy data, especially using HySpex devices.
This package was designed to obtain desmiled, destriped and georeferenced reflectance images from Hyperion imagery.
Official code for STARCOP: Semantic Segmentation of Methane Plumes with Hyperspectral Machine Learning models 🌈🛰️
Waste Detection and Change Analysis based on Multispectral Satellite Imagery
Generating AI-ready datasets in python for air quality studies using Google Earth Engine
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.