Comparison of Remote Sensing based Multi-Source ET Models over Cropland in a Semi-Humid Region of China
The estimation of cropland evapotranspiration (ET) is essential for agriculture water management, drought monitoring, and yield forecast. Remote sensing-based multi-source ET models have been widely applied and validated in the semi-arid region of China. However, careful investigation of the models’...
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MDPI AG
2020-03-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/11/4/325 |
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| author | Qifeng Zhuang Hao Wang Yuqi Xu |
| author_facet | Qifeng Zhuang Hao Wang Yuqi Xu |
| author_sort | Qifeng Zhuang |
| collection | DOAJ |
| description | The estimation of cropland evapotranspiration (ET) is essential for agriculture water management, drought monitoring, and yield forecast. Remote sensing-based multi-source ET models have been widely applied and validated in the semi-arid region of China. However, careful investigation of the models’ performances for different crop types (winter wheat and summer maize) over the semi-humid region is still necessary. This study used remote sensing data (Landsat 8 and ASTER) and compared three mainstream multi-source ET models: (i) the two-source energy balance model, i.e., TSEB; (ii) the Penman-Monteith based four-source model, i.e., 4s-PM; (iii) the Priestley Taylor-Jet Propulsion Laboratory ET algorithm, i.e., PT-JPL. The measurements of the eddy-covariance (EC) flux tower located in Guantao county of North China were used to validate the models. The results showed that the TSEB model performed the best in estimating latent heat flux (<i>LE</i>) of maize, with an RMSE of 75.0 W/m<sup>2</sup> and an R<sup>2</sup> of 0.9, and the 4s-PM model had the highest accuracy of <i>LE</i> estimation for wheat, with an RMSE of 61.0 W/m<sup>2</sup> and an R<sup>2</sup> of 0.91. The <i>LE</i> spatial distribution comparison indicated that the PT-JPL model had more capacity to exhibit crop ET heterogeneity. The major environmental factors affecting ET varied with crop types and crop growth stages. Without taking soil moisture into account, the 4s-PM and TSEB models overestimated <i>LE</i> under water deficit in the maturation stage of wheat. The plant moisture stress based on vegetation index in the PT-JPL model underestimated the evaporation in the maturation stage while the cropland was still wet. |
| first_indexed | 2024-03-11T10:11:29Z |
| format | Article |
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| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-11T10:11:29Z |
| publishDate | 2020-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-193376c008ec4c008073f6c36d1714c02023-11-16T14:29:32ZengMDPI AGAtmosphere2073-44332020-03-0111432510.3390/atmos11040325Comparison of Remote Sensing based Multi-Source ET Models over Cropland in a Semi-Humid Region of ChinaQifeng Zhuang0Hao Wang1Yuqi Xu2College of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, ChinaChinese Academy of Surveying and Mapping, No.28 Lianhuachi West Road, Haidian District, Beijing 100036, ChinaCollege of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, ChinaThe estimation of cropland evapotranspiration (ET) is essential for agriculture water management, drought monitoring, and yield forecast. Remote sensing-based multi-source ET models have been widely applied and validated in the semi-arid region of China. However, careful investigation of the models’ performances for different crop types (winter wheat and summer maize) over the semi-humid region is still necessary. This study used remote sensing data (Landsat 8 and ASTER) and compared three mainstream multi-source ET models: (i) the two-source energy balance model, i.e., TSEB; (ii) the Penman-Monteith based four-source model, i.e., 4s-PM; (iii) the Priestley Taylor-Jet Propulsion Laboratory ET algorithm, i.e., PT-JPL. The measurements of the eddy-covariance (EC) flux tower located in Guantao county of North China were used to validate the models. The results showed that the TSEB model performed the best in estimating latent heat flux (<i>LE</i>) of maize, with an RMSE of 75.0 W/m<sup>2</sup> and an R<sup>2</sup> of 0.9, and the 4s-PM model had the highest accuracy of <i>LE</i> estimation for wheat, with an RMSE of 61.0 W/m<sup>2</sup> and an R<sup>2</sup> of 0.91. The <i>LE</i> spatial distribution comparison indicated that the PT-JPL model had more capacity to exhibit crop ET heterogeneity. The major environmental factors affecting ET varied with crop types and crop growth stages. Without taking soil moisture into account, the 4s-PM and TSEB models overestimated <i>LE</i> under water deficit in the maturation stage of wheat. The plant moisture stress based on vegetation index in the PT-JPL model underestimated the evaporation in the maturation stage while the cropland was still wet.https://www.mdpi.com/2073-4433/11/4/325cropland ETmulti-source modelcanopy conductanceenvironmental factors |
| spellingShingle | Qifeng Zhuang Hao Wang Yuqi Xu Comparison of Remote Sensing based Multi-Source ET Models over Cropland in a Semi-Humid Region of China Atmosphere cropland ET multi-source model canopy conductance environmental factors |
| title | Comparison of Remote Sensing based Multi-Source ET Models over Cropland in a Semi-Humid Region of China |
| title_full | Comparison of Remote Sensing based Multi-Source ET Models over Cropland in a Semi-Humid Region of China |
| title_fullStr | Comparison of Remote Sensing based Multi-Source ET Models over Cropland in a Semi-Humid Region of China |
| title_full_unstemmed | Comparison of Remote Sensing based Multi-Source ET Models over Cropland in a Semi-Humid Region of China |
| title_short | Comparison of Remote Sensing based Multi-Source ET Models over Cropland in a Semi-Humid Region of China |
| title_sort | comparison of remote sensing based multi source et models over cropland in a semi humid region of china |
| topic | cropland ET multi-source model canopy conductance environmental factors |
| url | https://www.mdpi.com/2073-4433/11/4/325 |
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