Techniques for deep learning with satellite & aerial imagery
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Updated
Nov 19, 2024
Techniques for deep learning with satellite & aerial imagery
Long list of geospatial tools and resources
🛰️ 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
Satellite imagery for dummies.
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
GRASS GIS - free and open-source geospatial processing engine
SpatioTemporal Asset Catalog specification - making geospatial assets openly searchable and crawlable
🌐 List & Map of 700+ companies for geospatial jobs (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)
Datasets for deep learning with satellite & aerial imagery
A repository of custom scripts to be used with Sentinel Hub
framework for large-scale SAR satellite data processing
Satellite image time series in R
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry
🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis
The Clay Foundation Model - An open source AI model and interface for Earth
Overview of Digital Elevation Model (DEM) datasets
A library to create interactive maps of geographical datasets
Earth Observation Data Access Gateway
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