Abstract
(Yavatmal, Amravati, Akola, Buldhana and Washim) over the time frame of 2018-2026 at the tehsil level. By providing a framework for transferability of this method, we anticipate that this approach can be adopted globally using large datasets acquired from the ERA5-Land and Copernicus Open Access Hub.
Showing the abstract — retrieve the full paper via the Exa API.
Authors
Anirudh Khajuria
Topics
Remote Sensing in AgricultureHydrology and Drought AnalysisHydrological Forecasting Using AI
About
PublishedJun 30, 2026
TypeArticle
Citations0