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Article

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

by
Ranghu Wang
1,2,
Shuwen Zhang
2,*,
Luoman Pu
1,2,
Jiuchun Yang
2,
Chaobin Yang
2,
Jing Chen
1,3,
Cong Guan
1,2,
Qing Wang
1,2,
Dan Chen
1,2,
Bolin Fu
2 and
Xuejia Sang
1
1
College of Earth Science, Jilin University, Changchun 130061, China
2
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
3
College of Arts & Sciences, Beijing Union University, Beijing 100191, China
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2016, 5(11), 200; https://doi.org/10.3390/ijgi5110200
Submission received: 19 July 2016 / Revised: 25 October 2016 / Accepted: 31 October 2016 / Published: 4 November 2016
(This article belongs to the Special Issue Advances in Geo-Information for Environmental Forensics and Environmental Risk Management in the Anthropocene)
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Abstract

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.
Keywords: gully erosion; high resolution satellite image; unmanned aerial vehicle; 3D photo-reconstruction; multiple spatial scales gully erosion; high resolution satellite image; unmanned aerial vehicle; 3D photo-reconstruction; multiple spatial scales

Share and Cite

MDPI and ACS Style

Wang, R.; Zhang, S.; Pu, L.; Yang, J.; Yang, C.; Chen, J.; Guan, C.; Wang, Q.; Chen, D.; Fu, B.; et al. Gully Erosion Mapping and Monitoring at Multiple Scales Based on Multi-Source Remote Sensing Data of the Sancha River Catchment, Northeast China. ISPRS Int. J. Geo-Inf. 2016, 5, 200. https://doi.org/10.3390/ijgi5110200

AMA Style

Wang R, Zhang S, Pu L, Yang J, Yang C, Chen J, Guan C, Wang Q, Chen D, Fu B, et al. Gully Erosion Mapping and Monitoring at Multiple Scales Based on Multi-Source Remote Sensing Data of the Sancha River Catchment, Northeast China. ISPRS International Journal of Geo-Information. 2016; 5(11):200. https://doi.org/10.3390/ijgi5110200

Chicago/Turabian Style

Wang, Ranghu, Shuwen Zhang, Luoman Pu, Jiuchun Yang, Chaobin Yang, Jing Chen, Cong Guan, Qing Wang, Dan Chen, Bolin Fu, and et al. 2016. "Gully Erosion Mapping and Monitoring at Multiple Scales Based on Multi-Source Remote Sensing Data of the Sancha River Catchment, Northeast China" ISPRS International Journal of Geo-Information 5, no. 11: 200. https://doi.org/10.3390/ijgi5110200

APA Style

Wang, R., Zhang, S., Pu, L., Yang, J., Yang, C., Chen, J., Guan, C., Wang, Q., Chen, D., Fu, B., & Sang, X. (2016). Gully Erosion Mapping and Monitoring at Multiple Scales Based on Multi-Source Remote Sensing Data of the Sancha River Catchment, Northeast China. ISPRS International Journal of Geo-Information, 5(11), 200. https://doi.org/10.3390/ijgi5110200

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