Assessing the accuracy of multi-model approaches for downscaling land surface temperature across diverse agroclimatic zones

Land surface temperature (LST) is a critical parameter for land surface and atmospheric interactions. However, the applicability of current LST estimates for field-level hydrological, agricultural, and ecological operations is challenging due to their coarse spatiotemporal resolution. In the current...

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Bibliographic Details
Main Authors:	Roy, Debasish, Das, Bappa, Singh, Pooja, Santra, Priyabrata, Deb, Shovik, Kumar Bhattacharya, Bimal, Govind, Ajit, Jatav, Raghuveer, Sethi, Deepak, Ghosh, Tridiv, Mukherjee, Joydeep, Kumar Sehgal, Vinay, Kumar Jha, Prakash, Goroshi, Sheshakumar, Vara Prasad, V. P., Chakraborty, Debashis
Format:	Journal Article
Language:	Inglés
Published:	Springer Nature [academic journals on nature.com] 2025
Subjects:	land surface temperature (lst) ml-based multi-parameter nonlinear regression model (rf)
Online Access:	https://hdl.handle.net/10568/175174

Assessing the accuracy of multi-model approaches for downscaling land surface temperature across diverse agroclimatic zones by Roy, Debasish, Das, Bappa, Singh, Pooja, Santra, Priyabrata, Deb, Shovik, Bhattacharya, Bimal Kumar, Govind, Ajit, Jatav, Raghuveer, Sethi, Deepak, Ghosh, Tridiv, Mukherjee, Joydeep, Sehgal, Vinay Kumar, Prakash Kumar Jha, Goroshi, Sheshakumar, Prasad, P. V. Vara, Chakraborty, Debashis

Published 2025

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Journal Article

Assessing the accuracy of multi-model approaches for downscaling land surface temperature across diverse agroclimatic zones

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