Abstract
The Taohe River Basin is the largest tributary and an important water conservation area in the upper reaches of the Yellow River. In order to investigate the status of soil erosion in this region, we conducted a research of soil erosion. In our study, several parameters of the revised universal soil loss equation (RUSLE) model are extracted by using Google Earth Engine. The soil erosion modulus of the Taohe River Basin was calculated based on multi-source data, and the spatio-temporal variation characteristics of the soil erosion intensity were analyzed. The results showed the following: (1) the average soil erosion modulus of the Taohe River Basin in 2000, 2005, 2010, 2015 and 2018 were 1424, 1195, 1129, 1099 and 1124 t·ha−1·year−1, respectively, and the overall downward trend was obvious. (2) The ranges of soil erosion in the Taohe River Basin in 2000, 2005, 2010, 2015 and 2018 are basically the same—mainly with slight erosion—and the soil erosion in the middle and lower reaches was more serious. (3) When dealing with the vegetation cover factor and conservation practice factor in the RUSLE model, Google Earth Engine provided a new approach for soil erosion investigation and monitoring over a large area.
Highlights
Soil erosion can lead to riverbed siltation, trigger mountain torrents, destroy surface soil structure and reduce soil productivity, which has become the focus of environmental science, agriculture, soil and water conservation and other disciplines [1]
Users can access the database online provided by Python and a JavaScript platform based on web interactive development environment through the application programming language interface (API) provided by Python and a JavaScript (IDE)
The data used in this study include (1) soil texture at 1:100,000 in the Taohe River Basin, which was derived from the Resource and Environment Data Cloud Platform; (2) soil organic matter at 1:100,000 in the Taohe River Basin, which came from Soil Science Data Center; (3) annual and monthly mean precipitation data of 14 meteorological stations in and around the Taohe River Basin in 2000, 2005, 2010, 2015 and 2018, obtained from the China
Summary
Soil erosion can lead to riverbed siltation, trigger mountain torrents, destroy surface soil structure and reduce soil productivity, which has become the focus of environmental science, agriculture, soil and water conservation and other disciplines [1]. Compared with traditional image data storage, which can quickly invoke and batch process remote sensing data [10,11,12] It processing tools, Google Earth Engine has the function of mass data storage, which can quickly invoke has become the most advanced cloud geographic information processing platform in the world [13]. Users can access the database online provided by Python and a JavaScript platform based on web interactive development environment through the application programming language interface (API) provided by Python and a JavaScript (IDE) It can conduct cloud computing and the visualization of Earth data over a large range and a platform based on web interactive development environment (IDE). Engine, calculated the soil erosion modulus in 2000, 2005, 2010, 2015 and 2018 in the Taohe River Basin, Basin, and analyzed the spatial and temporal characteristics of soil erosion. Brown soil and loess [23]
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