Downscaling MODIS land surface temperature to 90 m using random forest regression to assess transferability

The observable spatiotemporal trade-offs among different satellite sensors necessitate the downscaling of optical and thermal data to identify Earth’s surface features and analyze temperature variations at finer scales. This study employs a random forest (RF) regression model to downscale Moderate R...

Descripció completa

Guardat en:
Dades bibliogràfiques
Autors principals: Pallab Kumar Das, Indrajit Mukherjee, Pankaj Prasad, Shashank Pushkar
Format: Artigo
Idioma:Inglês
Publicat: PeerJ Inc. 2025-11-01
Col·lecció:PeerJ Computer Science
Matèries:
Spatiotemporal trade-off
Satellite sensors
Downscaling
Random forest regression
Land surface temperature
Spatial resolution
Accés en línia:https://peerj.com/articles/cs-3246.pdf
Etiquetes: Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!

Ítems similars