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Validation of remotely sensed evapotranspiration over the Hai River Basin, China

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Jia, Z.Z., Liu, S.M., Xu, Z.W,, Chen, Y.J., & Zhu, M.J. (2012). Validation of remotely sensed evapotranspiration over the Hai River Basin, China. Journal of Geophysical Research, 117(D13).
Literature information
Type Of Reference JOUR
Title Validation of remotely sensed evapotranspiration over the Hai River Basin, China
Authors Jia, Zhenzhen| Liu, Shaomin| Xu, Ziwei| Chen, Yujie| Zhu, Mingjia|
Secondary Title Journal of Geophysical Research: Atmospheres
Abstract Ground-based validation is crucial for ensuring the accuracy of remotely sensed evapotranspiration (RS_ET) and extending its application. This paper proposes an innovative validation method based on multisource evapotranspiration (ET) from ground measurements, with the validation results including the accuracy assessment, error source analysis, and uncertainty analysis of the validation process. It is a potentially useful approach to evaluate the accuracy and analyze the spatiotemporal properties of RS_ET at both the basin and local scales, and is appropriate to validate RS_ET in diverse resolutions at different time-scales. An independent RS_ET validation using such a method was presented over the Hai River Basin in 2002–2009, China. In general, validation at the basin scale showed good agreements between the 1 km annual RS_ET and the validation data such as the water balance ET (root-mean-square error (RMSE): 50.73 mm), MODIS ET products (RMSE: 79.84 mm), precipitation, and land use types. At the local scale, multiscale ET measurements from large aperture scintillometer (LAS) and eddy covariance system (EC) with a footprint model were used for validation over three typical landscapes. In most cases, the 1 km RS_ET resulted in slight overestimation with the LAS measurements (RMSE: 10.75 mm for monthly results, 0.78 mm for daily results), while the 30 m RS_ET was underestimated compared to the EC measurements (RMSE: 16.28 mm for monthly results, 0.99 mm for daily results). Furthermore, error sources of RS_ET and uncertainties of the validation process were investigated in detail. The results showed that the proposed validation method was reasonable and feasible.
Date 2012///
Year 2012
DOI 10.1029/2011JD017037
Database Provider Wiley Online Library
volume 117
Issue Number D13
Start Page n/a
Language en
Issn 2156-2202
Url http://onlinelibrary.wiley.com/doi/10.1029/2011JD017037/abstract
Access Date 2014/01/09/12:58:40
Keywords Evapotranspiration| multiscales| observation| Remote sensing| Validation method|
file_attachments2 http://onlinelibrary.wiley.com/doi/10.1029/2011JD017037/full
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