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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Detalles Bibliográficos
Autores principales:	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
Formato:	Journal Article
Lenguaje:	Inglés
Publicado:	Springer Nature [academic journals on nature.com] 2025
Materias:	land surface temperature (lst) ml-based multi-parameter nonlinear regression model (rf)
Acceso en línea:	https://hdl.handle.net/10568/175174

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

Publicado 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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