Dynamic monitoring of soil erosion in the upper Minjiang catchment using an improved soil loss equation based on remote sensing and geographic information system

Author:

Guo Bing12345ORCID,Yang Guang6,Zhang Feifei6,Han Fang1,Liu Chenggang7

Affiliation:

1. School of Civil and Architectural Engineering; Shandong University of Technology; Zibo 255000 P. R. China

2. Key Laboratory of Geographic Information Science (Ministry of Education); East China Normal University; Shanghai 200241 P. R. China

3. Key Laboratory for National Geographic Census and Monitoring; National Administration of Surveying, Mapping and Geoinformation; Wuhan 433079 P. R. China

4. Key Laboratory for Digital Land and Resources of Jiangxi Province; East China University of Technology; Nanchang 330013 P. R. China

5. Hubei Key Laboratory of Regional Development and Environmental Response (Hubei University); Wuhan 430062 P. R. China

6. Institute of Remote Sensing and Digital Earth; Chinese Academy of Sciences; Beijing 100101 P. R. China

7. Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden; Chinese Academy of Sciences; Menglun 666303 P. R. China

Funder

Project of Hubei Key Laboratory of Regional Development and Environmental Response (Hubei University)

Open Fund of Key Laboratory for National Geographic Census and Monitoring, National Administration of Surveying, Mapping and Geoinformation

Open Fund of Key Laboratory for Digital Land and Resources of Jiangxi Province, East China University of Technology

Open Fund of Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University

Publisher

Wiley

Subject

Soil Science,General Environmental Science,Development,Environmental Chemistry

Reference42 articles.

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2. Assessment of erosion hotspots in a watershed: Integrating the WEPP model and GIS in a case study in the Peruvian Andes;Baigorria;Environmental Modelling & Software,2007

3. Watershed-scale evaluation of the Water Erosion Prediction Project (WEPP) model in the Lake Tahoe basin;Brooks;Journal of Hydrology,2016

4. Study of applying USLE and geographical information system IDRISI to predict soil erosion in small watershed;Cai;Journal of Soil and Water Conservation,2000

5. Assessment for soil loss by using a scheme of alterative sub-models based on the RUSLE in a Karst Basin of Southwest China;Chen;Journal of Integrative Agriculture,2017

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