文献类型：期刊文献

英文题名：Gully Erosion Mapping and Monitoring at Multiple Scales Based on Multi-Source Remote Sensing Data of the Sancha River Catchment, Northeast China

作者：Wang, Ranghu[1,2];Zhang, Shuwen[2];Pu, Luoman[1,2];Yang, Jiuchun[2];Yang, Chaobin[2];Chen, Jing[1,3];Guan, Cong[1,2];Wang, Qing[1,2];Chen, Dan[1,2];Fu, Bolin[2];Sang, Xuejia[1]

第一作者：Wang, Ranghu

通讯作者：Zhang, SW[1]

机构：[1]Jilin Univ, Coll Earth Sci, Changchun 130061, Peoples R China;[2]Chinese Acad Sci, Northeast Inst Geog & Agroecol, Changchun 130102, Peoples R China;[3]Beijing Union Univ, Coll Arts & Sci, Beijing 100191, Peoples R China

第一机构：Jilin Univ, Coll Earth Sci, Changchun 130061, Peoples R China

通讯机构：[1]corresponding author), Chinese Acad Sci, Northeast Inst Geog & Agroecol, Changchun 130102, Peoples R China.

年份：2016

卷号：5

期号：11

外文期刊名：ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION

收录：;Scopus(收录号：2-s2.0-84994112560);WOS:【SCI-EXPANDED(收录号:WOS:000390104200007)】；

基金：This research was funded by the National Natural Science Foundation of China (No. 41271416; 41301467, and 41601458) and the Project 2016213 supported by the Graduate Innovation Fund of Jilin University. The authors would like to thank the Jilin Province Geomatics Center and its director Zheng Wang for their support with the fieldwork.

语种：英文

外文关键词：gully erosion; high resolution satellite image; unmanned aerial vehicle; 3D photo-reconstruction; multiple spatial scales

摘要：This research is focused on gully erosion mapping and monitoring at multiple spatial scales using multi-source remote sensing data of the Sancha River catchment in Northeast China, where gullies extend over a vast area. A high resolution satellite image (Pleiades 1A, 0.7 m) was used to obtain the spatial distribution of the gullies of the overall basin. Image visual interpretation with field verification was employed to map the geometric gully features and evaluate gully erosion as well as the topographic differentiation characteristics. Unmanned Aerial Vehicle (UAV) remote sensing data and the 3D photo-reconstruction method were employed for detailed gully mapping at a site scale. The results showed that: (1) the sub-meter image showed a strong ability in the recognition of various gully types and obtained satisfactory results, and the topographic factors of elevation, slope and slope aspects exerted significant influence on the gully spatial distribution at the catchment scale; and (2) at a more detailed site scale, UAV imagery combined with 3D photo-reconstruction provided a Digital Surface Model (DSM) and ortho-image at the centimeter level as well as a detailed 3D model. The resulting products revealed the area of agricultural utilization and its shaping by human agricultural activities and water erosion in detail, and also provided the gully volume. The present study indicates that using multi-source remote sensing data, including satellite and UAV imagery simultaneously, results in an effective assessment of gully erosion over multiple spatial scales. The combined approach should be continued to regularly monitor gully erosion to understand the erosion process and its relationship with the environment from a comprehensive perspective.