Techniques for deep learning with satellite & aerial imagery
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Updated
Apr 23, 2024
Techniques for deep learning with satellite & aerial imagery
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
Satellite imagery for dummies.
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
Search and download Copernicus Sentinel satellite images
Download and process satellite imagery in Python using Sentinel Hub services.
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
SpatioTemporal Asset Catalog specification - making geospatial assets openly searchable and crawlable
Interactive interface for browsing global, full-resolution satellite imagery
interactive notebooks from Planet Engineering
TernausNetV2: Fully Convolutional Network for Instance Segmentation
Open-source satellite tracker and pass predictor for Android, inspired by Gpredict
curated list of awesome tools, tutorials and APIs for Copernicus Sentinel satellite data
Datasets for deep learning with satellite & aerial imagery
A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index
A curated list of resources focused on Machine Learning in Geospatial Data Science.
Data Preparation for Satellite Machine Learning
Satellite image time series in R
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