Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Gdal | 4,303 | 60 | 2 months ago | 36 | August 04, 2023 | 455 | other | C++ | ||
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats. | ||||||||||
Datacube Core | 470 | 7 | 18 | 2 months ago | 41 | November 08, 2023 | 42 | apache-2.0 | Python | |
Open Data Cube analyses continental scale Earth Observation data through time | ||||||||||
Pyrosar | 449 | 3 months ago | 32 | November 23, 2023 | 45 | mit | Python | |||
framework for large-scale SAR satellite data processing | ||||||||||
Waterdetect | 160 | 1 | 10 months ago | 22 | October 02, 2022 | 1 | apache-2.0 | Jupyter Notebook | ||
Water Detect Algorithm | ||||||||||
Open Geo Tutorial | 158 | 5 years ago | 4 | other | HTML | |||||
Tutorial of basic remote sensing and GIS methodologies using open source software (GDAL in Python or R) | ||||||||||
Geowombat | 154 | 3 months ago | 15 | October 11, 2022 | 8 | mit | Jupyter Notebook | |||
GeoWombat: Utilities for geospatial data | ||||||||||
Modistsp | 146 | 5 months ago | 19 | June 12, 2023 | 3 | gpl-3.0 | R | |||
An "R" package for automatic download and preprocessing of MODIS Land Products Time Series | ||||||||||
Tomography_tutorial | 81 | a year ago | 4 | September 11, 2018 | 1 | gpl-3.0 | Jupyter Notebook | |||
A tutorial for Synthetic Aperture Radar Tomography | ||||||||||
Digital Elevation Model | 52 | 3 years ago | 1 | mit | Python | |||||
To transform, project, visualize, and read Digital Elevation Models (ASTERGDEMv2.0 and EUDEMv1.1). [简单实用] 数字高程模型的变换、投影、可视化和读取。 | ||||||||||
Label Pixels | 42 | a year ago | 1 | Python | ||||||
Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery and now, it can be used to extract different features from remote sensing imagery. |