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The comparison between single-point method and footprint-integrated validation method of the remote-sensing retrieval of evapotranspiration: a case study at Daman site.

Authors :
Zhou, Yulong
Pan, Xin
Yang, Zi
Wang, Zhanchuan
Guluzade, Rufat
Yuan, Jie
Liu, Suyi
Ding, Xu
Ma, Wenqing
Yang, Yingbao
Source :
International Journal of Remote Sensing. Jan2025, Vol. 46 Issue 1, p226-246. 21p.
Publication Year :
2025

Abstract

In single-site validations, site-pixel, synthetic pixel and footprint-integrated methods are commonly used to validate evapotranspiration (ET) retrieval at the pixel scale. To reveal the reliability of these methods, this study analysed the performance of the three methods for ET retrieval validation based on eddy-covariance observations at the Daman site which is numerously used for validation in Heihe Watershed Allied Telemetry Experimental Research (HiWATER). The analysis at different spatial scales in different seasons showed that the validation results of the site-pixel method were more similar that of the footprint-integrated method than the synthetic pixel method. However, the validation results of the site-pixel method showed significant discrepancies from those of the footprint-integrated method, especially in summer at the 480 M scale which is near to the spatial resolution of MODIS with a large difference of more than 125.65 W M−2. This error is due to aggregation and high spatial heterogeneity. The use of synthetic pixel can avoid this error. Normally, the error probably appears when the wind direction is 270°â€“360°, usually in summer, autumn and winter. In addition, the different aggregation methods had a slight effect on the ET estimation results. This study is helpful in determining the reliability of different single-point validation methods and provides a reliable way to select a validation method for single-site validation of remote sensing retrieval of ET. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01431161
Volume :
46
Issue :
1
Database :
Academic Search Index
Journal :
International Journal of Remote Sensing
Publication Type :
Academic Journal
Accession number :
181986010
Full Text :
https://doi.org/10.1080/01431161.2024.2412803