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High-resolution agricultural drought hazard mapping using the potential of geospatial data and machine learning approaches

Crossref DOI link: https://doi.org/10.1007/s10661-025-14538-w

Published Online: 2025-10-10

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Senapati, Ujjal https://orcid.org/0000-0001-6492-0162
Srivastava, Aman https://orcid.org/0000-0001-9253-3485
Maity, Rajib https://orcid.org/0000-0001-5631-9553
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Text and Data Mining valid from 2025-10-10

Version of Record valid from 2025-10-10
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Article History

Received: 25 April 2025

Accepted: 21 August 2025

First Online: 10 October 2025

Declarations

:

: The authors declare no competing interests.