Evapotranspiration Disaggregation Using an Integrated Indicating Factor Based on Slope Units
Year: 2025
Type: article
Abstract: 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 R2 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.
Source: Remote Sensing
DOI: 10.3390/rs17071201
Authors: Linjiang Wang, Bingfang Wu, Weiwei Zhu, Abdelrazek Elnashar, Nana Yan, Zonghan Ma
Institutions: China Institute of Water Resources and Hydropower Research, State Key Laboratory of Basin Water Cycle Simulation and Regulation, Chinese Academy of Sciences, Aerospace Information Research Institute, University of Chinese Academy of Sciences, State Key Laboratory of Remote Sensing Science, University of Kassel, Cairo University
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
SDGs: Climate action, Life on land
Open Access status: gold
Estimated APC paid: $3,258
Awards: G7642818282, G8826611303
OpenAlex ID: W4408922898
