Artificial intelligence-driven drought prediction using long-term meteorological and vegetation indices

Drought is a persistent challenge in the Bundelkhand region of Central India, driven by erratic monsoons, warming, and rain-fed agriculture. This study develops an integrated framework for drought monitoring and forecasting by combining long-term meteorological data (1985–2024), satellite-based vege...

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Huvudupphov:	Yogeshwar Singh, Rahul Kumar, Hritika Rani, Preeti Kumari, Shiv Vendra Singh, Pavan Kumar, Manish Srivastav, AK Singh, Mansour Almazroui, Abu Reza Md Towfiqul Islam, Riaz Ali, Arfan Arshad, Rasha M. Abou Samra, Benson Turyasingura
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Taylor & Francis Group 2026-06-01
Serie:	Geology, Ecology, and Landscapes
Ämnen:	Bundelkhand drought forecasting SPI SPEI vegetation indices (NDVI, VCI) machine learning
Länkar:	https://www.tandfonline.com/doi/10.1080/24749508.2026.2681801
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