Articles | Volume 20, issue 11
https://doi.org/10.5194/hess-20-4409-2016
https://doi.org/10.5194/hess-20-4409-2016
Research article
 | 
02 Nov 2016
Research article |  | 02 Nov 2016

Remote sensing algorithm for surface evapotranspiration considering landscape and statistical effects on mixed pixels

Zhi Qing Peng, Xiaozhou Xin, Jin Jun Jiao, Ti Zhou, and Qinhuo Liu

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Short summary
A remote sensing algorithm named temperature sharpening and flux aggregation (TSFA) was applied to HJ-1B satellite data to estimate evapotranspiration over heterogeneous surface considering landscape and statistical effects on mixed pixels. Footprint validation results showed TSFA was more accurate and less uncertain than other two upscaling methods. Additional analysis and comparison showed TSFA can capture land surface heterogeneities and integrate the effect of landscapes within mixed pixels.