The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B3-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 1563–1567, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1563-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 1563–1567, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1563-2020

  22 Aug 2020

22 Aug 2020

“3S” TECHNOLOGIES AND APPLICATION FOR DYNAMIC MONITORING SOIL AND WATER LOSS IN THE YANGTZE RIVER BASIN, CHINA

C. Li1, J. Yao1, R. Li2, Y. Zhu2, H. Yao2, P. Zhang1, D. Wei3, S. Zhao4, Y. Li2, and Y. Wu1 C. Li et al.
  • 1Key Laboratory for Geographical Process Analysis & Simulation, Hubei Province, and College of Urban and Environmental Science, Central China Normal University, Wuhan, China
  • 2Changjiang Soil and Water Conservation Monitoring Center CWRC, Wuhan, China
  • 3School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
  • 4Vivo Mobile Communication Co., Ltd

Keywords: Soil and Water Loss, 3S (RS, GIS and GPS), Unmanned Aerial Vehicle (UAV), Dynamic Monitoring, Yangtze River Basin

Abstract. For China, which has many big rivers, there is an urgent need for efficient dynamic monitoring technology of water and soil loss. However, there are some problems in the current 3S (RS, GIS and GPS) technology for dynamic monitoring water and soil loss. This paper takes the Yangtze River Basin as an example to innovate and optimize the key technologies of the remote sensing interpretation of the water and soil loss dynamic monitoring of the Yangtze River Basin, and overcome the major technical difficulties in the remote sensing interpretation of the dynamic monitoring of water and soil loss. The key technologies include: 1) The establishment of a field investigation platform based on Internet and UAV (Unmanned Aerial Vehicle) for remote sensing interpretation; 2) Near real-time evaluating key factors of soil and water loss based on UAV photogrammetry and digital terrain analysis; 3) Geometric and Radiometric Simultaneous Correction Model (GRSCM) framework for remote sensing images pre-processing; 4) An object-oriented land use change update quality control method supported by multi-PC and GIS; and an object-oriented remote sensing image classification system based on random forest, deep learning and transfer learning; 5) Improvement of quantitative change detection method for image vegetation and three-dimensional topography. The results have been successfully applied in the remote sensing interpretation of the dynamic monitoring of water and soil loss in the national key prevention and control area of the Yangtze River Basin. They have been provided a scientific reference for the development planning of The Yangtze River Economic Zone.