Techniques for deep learning with satellite & aerial imagery
-
Updated
May 25, 2024
Techniques for deep learning with satellite & aerial imagery
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
Long list of geospatial tools and resources
A repository of custom scripts to be used with Sentinel Hub
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
GRASS GIS - free and open-source geospatial processing engine
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
SpatioTemporal Asset Catalog specification - making geospatial assets openly searchable and crawlable
The Sentinel-1 Toolbox
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis
framework for large-scale SAR satellite data processing
ESA Earth Observation Toolbox and Java Development Platform
Search and download Landsat scenes from EarthExplorer.
Satellite imagery for dummies.
Sample scripts and notebooks on processing satellite imagery Python Geospatial raster
PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry
🌐 List & Map of 700+ companies for geospatial jobs (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)
Satellite image time series in R
Datasets for deep learning with satellite & aerial imagery
Add a description, image, and links to the earth-observation topic page so that developers can more easily learn about it.
To associate your repository with the earth-observation topic, visit your repo's landing page and select "manage topics."