geospatial-machine-learning
Geospatial ML collection
Curated resources and code projects for machine learning in geospatial data science
A curated list of resources focused on Machine Learning in Geospatial Data Science.
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last commit: over 6 years ago
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classificationcomputer-visionconvolutional-neural-networksdeep-learninggeosciencegeospatialgeospatial-machine-learninggisimage-segmentationkeraslandsatmachine-learningremote-sensingsatellite-imagerysatellite-imagessemantic-segmentationtensorflow
acgeospatial/awesome-earthobservation-codeRelated projects:
| Repository | Description | Stars |
|---|---|---|
 microsoft/farmvibes-ai | A framework for building geospatial machine learning models that fuse multiple datasets to gain insights into agriculture and sustainability | 684 |
 subeeshvasu/awsome_deep_geometry_learning | A curated list of resources and papers on deep learning solutions for processing 3D shapes | 341 |
 ua-datalab/cloud-native-geospatial | Educational material on cloud native geospatial technologies | 0 |
 digitalglobe/mltools | Tools for building machine learning solutions on satellite imagery | 82 |
 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. | 199 |
 mmann1123/pygis | An online textbook providing core geospatial functionality in Python, covering topics such as data handling, remote sensing, and machine learning. | 168 |
 paleolimbot/geovctrs | A set of classes and data structures to ensure compatibility among R geospatial processing functions. | 25 |
 vmarsocci/3dcd | Automatically inferring 2D and 3D change detection maps from bitemporal optical images without relying on DSMs. | 28 |
| microsoft/aiforearthdatasets | A collection of geospatial data and supporting documentation for environmental sustainability and Earth science applications | 281 |
 nshaud/deepnetsforeo | Developing deep learning models for Earth Observation using remote sensing images | 476 |
 geospatialresearch/digital-twins | An application that uses data and machine learning to predict the impact of flood events on infrastructure assets | 15 |
 kgpml/hyperspectral | Developing Deep Learning models for classifying land covers in hyperspectral images using Neural Networks | 298 |
 jliemansifry/semantic-segmentation | Develops deep learning models to classify and annotate pixel-level details in satellite images | 21 |
 adibro/data-science-resources | A collection of resources and cheatsheets for learning and practicing data science | 64 |
 antvis/l7plot | A customizable geospatial visualization chart library using Mapbox and TypeScript | 84 |