Techniques for deep learning with satellite & aerial imagery
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Updated
Jul 11, 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
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Download and process satellite imagery in Python using Sentinel Hub services.
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
Datasets for deep learning with satellite & aerial imagery
Open-source satellite tracker and pass predictor for Android, inspired by Gpredict
TernausNetV2: Fully Convolutional Network for Instance Segmentation
curated list of awesome tools, tutorials and APIs for Copernicus Sentinel satellite data
A curated list of resources focused on Machine Learning in Geospatial Data Science.
A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index
Data Preparation for Satellite Machine Learning
Satellite image time series in R
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