Articles | Volume 20, issue 11
Hydrol. Earth Syst. Sci., 20, 4409–4438, 2016
https://doi.org/10.5194/hess-20-4409-2016
Hydrol. Earth Syst. Sci., 20, 4409–4438, 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 et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (03 May 2016) by Laurent Pfister
AR by Xiaozhou Xin on behalf of the Authors (23 May 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (10 Jun 2016) by Laurent Pfister
RR by Anonymous Referee #1 (05 Jul 2016)
ED: Publish subject to minor revisions (Editor review) (19 Jul 2016) by Laurent Pfister
AR by Xiaozhou Xin on behalf of the Authors (28 Jul 2016)  Author's response    Manuscript
ED: Publish subject to minor revisions (Editor review) (23 Aug 2016) by Laurent Pfister
AR by Xiaozhou Xin on behalf of the Authors (31 Aug 2016)  Author's response
ED: Publish subject to minor revisions (Editor review) (27 Sep 2016) by Laurent Pfister
AR by Xiaozhou Xin on behalf of the Authors (06 Oct 2016)  Author's response    Manuscript
ED: Publish subject to technical corrections (15 Oct 2016) by Laurent Pfister
AR by Xiaozhou Xin on behalf of the Authors (16 Oct 2016)  Author's response    Manuscript
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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.