Evapotranspiration Disaggregation Using an Integrated Indicating Factor Based on Slope Units
This study proposes an evapotranspiration (ET) disaggregation model based on slope units. Different slope units are first delineated based on digital elevation model data with high spatial resolution. Key factors influencing ET variability across topographies, such as radiation, vegetation, and mois...
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| Language: | English |
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MDPI AG
2025-03-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/7/1201 |
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| author | Linjiang Wang Bingfang Wu Weiwei Zhu Abdelrazek Elnashar Nana Yan Zonghan Ma |
| author_facet | Linjiang Wang Bingfang Wu Weiwei Zhu Abdelrazek Elnashar Nana Yan Zonghan Ma |
| author_sort | Linjiang Wang |
| collection | DOAJ |
| description | This study proposes an evapotranspiration (ET) disaggregation model based on slope units. Different slope units are first delineated based on digital elevation model data with high spatial resolution. Key factors influencing ET variability across topographies, such as radiation, vegetation, and moisture, are integrated using Sentinel-2 and DEM data to construct an indicating factor. A slope-scale ET disaggregation model is developed using ETWatch data (1 km resolution) and the integrated factor, yielding reliable 10 m resolution ET data that reflect slope-scale variations. The validation in Huairou and Baotianman shows coefficients of determination of 0.9 and 0.91, respectively, and root mean square errors of 0.45 mm and 0.47 mm. Compared to the original 1 km resolution ET data, the disaggregated results show improved accuracy, with R<sup>2</sup> values increasing by 1% (Huairou) and 2% (Baotianman) and RMSE decreasing by 21% and 13%, respectively. This model offers a novel approach for estimating forest evapotranspiration in mountainous areas and significant potential for water resource management and sustainable land–water allocation. |
| format | Article |
| id | doaj-art-ebf02b7bb43f48a2a09979c0c6c2fc91 |
| institution | OA Journals |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-ebf02b7bb43f48a2a09979c0c6c2fc912025-08-20T02:09:20ZengMDPI AGRemote Sensing2072-42922025-03-01177120110.3390/rs17071201Evapotranspiration Disaggregation Using an Integrated Indicating Factor Based on Slope UnitsLinjiang Wang0Bingfang Wu1Weiwei Zhu2Abdelrazek Elnashar3Nana Yan4Zonghan Ma5State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, ChinaState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaSection of Soil Science, Faculty of Organic Agricultural Sciences, University of Kassel, 37213 Witzenhausen, GermanyState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaThis study proposes an evapotranspiration (ET) disaggregation model based on slope units. Different slope units are first delineated based on digital elevation model data with high spatial resolution. Key factors influencing ET variability across topographies, such as radiation, vegetation, and moisture, are integrated using Sentinel-2 and DEM data to construct an indicating factor. A slope-scale ET disaggregation model is developed using ETWatch data (1 km resolution) and the integrated factor, yielding reliable 10 m resolution ET data that reflect slope-scale variations. The validation in Huairou and Baotianman shows coefficients of determination of 0.9 and 0.91, respectively, and root mean square errors of 0.45 mm and 0.47 mm. Compared to the original 1 km resolution ET data, the disaggregated results show improved accuracy, with R<sup>2</sup> values increasing by 1% (Huairou) and 2% (Baotianman) and RMSE decreasing by 21% and 13%, respectively. This model offers a novel approach for estimating forest evapotranspiration in mountainous areas and significant potential for water resource management and sustainable land–water allocation.https://www.mdpi.com/2072-4292/17/7/1201evapotranspirationdisaggregationslope unitswater managementremote sensing |
| spellingShingle | Linjiang Wang Bingfang Wu Weiwei Zhu Abdelrazek Elnashar Nana Yan Zonghan Ma Evapotranspiration Disaggregation Using an Integrated Indicating Factor Based on Slope Units Remote Sensing evapotranspiration disaggregation slope units water management remote sensing |
| title | Evapotranspiration Disaggregation Using an Integrated Indicating Factor Based on Slope Units |
| title_full | Evapotranspiration Disaggregation Using an Integrated Indicating Factor Based on Slope Units |
| title_fullStr | Evapotranspiration Disaggregation Using an Integrated Indicating Factor Based on Slope Units |
| title_full_unstemmed | Evapotranspiration Disaggregation Using an Integrated Indicating Factor Based on Slope Units |
| title_short | Evapotranspiration Disaggregation Using an Integrated Indicating Factor Based on Slope Units |
| title_sort | evapotranspiration disaggregation using an integrated indicating factor based on slope units |
| topic | evapotranspiration disaggregation slope units water management remote sensing |
| url | https://www.mdpi.com/2072-4292/17/7/1201 |
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