Simple yet efficient downscaling of land surface temperatures by suitably integrating kernel- and fusion-based methods

•SED that suitably combines the kernel- and fusion-based methods was proposed for LST downscaling.•SED uses a Landsat image to downscale MODIS LST by statistical regression.•SED has an average RMSE of 1.29 K over 50 diverse study areas worldwide.•SED is superior to kernel-based and fusion-based meth...

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Veröffentlicht in:	ISPRS journal of photogrammetry and remote sensing 2023-11, Vol.205, p.317-333
Hauptverfasser:	Dong, Pan, Zhan, Wenfeng, Wang, Chenguang, Jiang, Sida, Du, Huilin, Liu, Zihan, Chen, Yangyi, Li, Long, Wang, Shasha, Ji, Yingying
Format:	Artikel
Sprache:	eng
Schlagworte:	algorithms Land surface temperature Landsat LST downscaling photogrammetry regression analysis Spatiotemporal fusion Thermal remote sensing
Online-Zugang:	Volltext
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