Daily Landsat-scale evapotranspiration estimation over a forested landscape in North Carolina, USA, using multi-satellite data fusion

Yang, Yun; Anderson, Martha C.; Gao, Feng; Hain, Christopher R.; Semmens, Kathryn A.; Kustas, William P.; Noormets, Asko; Wynne, Randolph H.; Thomas, Valerie A.; Sun, Ge

doi:https://doi.org/10.5194/hess-21-1017-2017

Articles | Volume 21, issue 2

https://doi.org/10.5194/hess-21-1017-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Modeling hydrological processes and changes

https://doi.org/10.5194/hess-21-1017-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 21, issue 2

Research article

|

17 Feb 2017

Research article |

| 17 Feb 2017

Daily Landsat-scale evapotranspiration estimation over a forested landscape in North Carolina, USA, using multi-satellite data fusion

Yun Yang, Martha C. Anderson, Feng Gao, Christopher R. Hain, Kathryn A. Semmens, William P. Kustas, Asko Noormets, Randolph H. Wynne, Valerie A. Thomas, and Ge Sun

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Final revised paper (published on 17 Feb 2017)
Preprint (discussion started on 01 Jun 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Review report "Daily Landsat-scale evapotranspiration estimation over a forested landscape in North Carolina, USA using multi-satellite data fusion"', Anonymous Referee #1, 30 Aug 2016
- AC1: 'Reply to reviewer 1', Yun Yang, 29 Nov 2016
- AC3: 'Revised manuscript', Yun Yang, 29 Nov 2016
RC2: 'Please refer to the attached file for comments on the manuscript', Anonymous Referee #2, 08 Nov 2016
- AC2: 'Reply to reviewer 2', Yun Yang, 29 Nov 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish as is (19 Jan 2017) by Yangbo Chen

AR by Yun Yang on behalf of the Authors (28 Jan 2017) Manuscript

Short summary

This work explores the utility of a thermal remote sensing based MODIS/Landsat ET data fusion procedure over a mixed forested/agricultural landscape in North Carolina, USA. The daily ET retrieved at 30 m resolution agreed well with measured fluxes in a clear-cut and a mature pine stand. An accounting of consumptive water use by land cover classes is presented, as well as relative partitioning of ET between evaporation (E) and transpiration (T) components.