ClarkCGA/multi-temporal-crop-classification-baseline
Baseline model for crop type segmentation as part of the HLS FM downstream task evaluations
This project offers a baseline solution for identifying specific crop types and other land covers from satellite imagery over time. It takes in multi-temporal satellite images (like those from NASA's HLS program) and outputs maps showing where different crops or land features are located. Farmers, agricultural researchers, and environmental monitoring agencies would use this to understand land use.
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Use this if you need to accurately map and monitor crop types and other land covers across agricultural regions using satellite data.
Not ideal if you're looking for a simple, out-of-the-box web tool; this requires some technical setup with Docker and JupyterLab.
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Python
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Last pushed
Feb 05, 2024
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