earthlib-legacy
Land cover mapper
A suite of software tools for satellite-based land cover mapping using spectral endmembers and unmixing algorithms
Spectral endmembers and unmixing tools for satellite land cover mapping.
24 stars
1 watching
3 forks
Language: Jupyter Notebook
last commit: over 1 year ago
Linked from 1 awesome list
conservationearth-engineecologyremote-sensingspectral-unmixing
protontypes/open-sustainable-technologyRelated projects:
| Repository | Description | Stars |
|---|---|---|
 conservationinternational/trends.earth | An online tool to analyze land change and track progress towards sustainable development goals | 111 |
 gersl/ccdc | An algorithm for detecting and classifying changes in land cover using Landsat data, requiring processing of large datasets and generating output files. | 99 |
 jgcri/demeter | An open source Python package that disaggregates future land allocation projections from integrated models into detailed land use and land cover data | 26 |
 evan-delancey/googleearthengine | Develops algorithms and integrates satellite data from Google Earth Engine to analyze land surface changes and track environmental patterns. | 11 |
 envirometrix/landmap | Develops methods for automated spatial prediction and interpolation using Ensemble Machine Learning. | 48 |
 azvoleff/teamlucc | Analyzes land use and cover change from satellite imagery | 38 |
 jgrss/cultionet | A deep learning library for image segmentation of cultivated land from satellite data | 27 |
 mit-spark/kimera | A C++ library that builds and annotates 3D meshes of environments using camera images and inertial data | 1,852 |
 allenai/satlas | Provides high-quality AI-generated geospatial data by applying deep learning models to satellite imagery, enabling accurate and frequent mapping of the Earth's landmass. | 205 |
 emapr/lt-gee | An implementation of the LandTrendr spectral-temporal segmentation algorithm on Google Earth Engine | 198 |
 vannizhang/aiforearth-landcover-app | An application for training and testing deep neural network models on land cover classification tasks. | 13 |
 brazil-data-cube/rwlts | Provides an R client library to access and utilize land use and land cover data from various sources. | 8 |
 vwmaus/dtwsat | An R package providing a method to analyze satellite image time series by leveraging Time-Weighted Dynamic Time Warping and a 1 Nearest-Neighbor classifier for land use mapping. | 1 |
 kylebarron/landsat8.earth | An application that allows users to view and analyze Landsat 8 satellite imagery in the browser using WebGL. | 40 |
 skydoves/landscapist | A pluggable and optimized image loading library for Jetpack Compose and Kotlin Multiplatform | 2,183 |