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GitHub / montimaj / HydroMST
Source codes for groundwater pumping prediction using integrated remote sensing datasets and machine learning
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/montimaj%2FHydroMST
Stars: 18
Forks: 5
Open Issues: 0
License: mit
Language: Python
Repo Size: 1.32 GB
Dependencies: pending
Created: almost 5 years ago
Updated: 5 months ago
Last pushed: over 1 year ago
Last synced: 4 months ago
Commit Stats
Commits: 121
Authors: 3
Mean commits per author: 40.33
Development Distribution Score: 0.38
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/montimaj/HydroMST
Topics: agriculture, cropland-mapping, evapotranspiration, geospatial-analysis, grace, groundwater, hydrology, machine-learning, modis, nasa-data, open-source, precipitation, prism, python3, random-forest, remote-sensing, scikit-learn, surface-water, time-series-analysis, usda