Agri-Hub/Space2Ground
A dataset with Space (Sentinel-1/2) and Ground (street-level images) components, annotated with crop-type labels for agriculture monitoring.
This dataset helps farmers and agricultural analysts monitor grassland areas by combining satellite imagery with ground-level photos. It takes monthly Sentinel-1 (radar) and Sentinel-2 (multispectral) data along with street-level images, and provides labels indicating whether a parcel of land is grassland or not. Agricultural researchers and farm management companies can use this to improve detection methods.
No commits in the last 6 months.
Use this if you need labeled, multi-modal agricultural data for grassland detection and crop type monitoring.
Not ideal if you require real-time monitoring or data for crop types other than grassland, or high-resolution imagery for individual plant analysis.
Stars
22
Forks
5
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Aug 02, 2022
Commits (30d)
0
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