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Terrestrial water storage anomaly estimating using machine learning techniques and satellite‐based data (a case study of Lake Urmia Basin) | Waterlyst
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Terrestrial water storage anomaly estimating using machine learning techniques and satellite‐based data (a case study of Lake Urmia Basin)
Terrestrial water storage anomaly estimating using machine learning techniques and satellite‐based data (a case study of Lake Urmia Basin)
Keyvan Soltani · Irrigation and Drainage · 2022
Journal
Irrigation and Drainage
Year
2022
Author
Keyvan Soltani
DOI
https://doi.org/10.1002/ird.2863
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