Advancing of Land Surface Temperature Retrieval Using Extreme Learning Machine and Spatio-Temporal Adaptive Data Fusion Algorithm

As a critical variable to characterize the biophysical processes in ecological environment, and as a key indicator in the surface energy balance, evapotranspiration and urban heat islands, Land Surface Temperature (LST) retrieved from Thermal Infra-Red (TIR) images at both high temporal and spatial...

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Hlavní autoři:	Yang Bai, Man Sing Wong, Wen-Zhong Shi, Li-Xin Wu, Kai Qin
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2015-04-01
Edice:	Remote Sensing
Témata:	extreme learning machine Landsat land surface temperature MODIS spatial-temporal fusion thermal infrared images
On-line přístup:	http://www.mdpi.com/2072-4292/7/4/4424
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