An assessment of the VIC-3L hydrological model for the Yangtze River basin based on remote sensing: a case study of the Baohe River basin

2004 ◽  
Vol 30 (5) ◽  
pp. 840-853 ◽  
Author(s):  
Suoquan Zhou ◽  
Xu Liang ◽  
Jing Chen ◽  
Peng Gong
Keyword(s):  
Remote Sensing ◽  
River Basin ◽  
Yangtze River ◽  
Hydrological Model ◽  
Yangtze River Basin ◽  
The Yangtze River ◽  
The Yangtze River Basin

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

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 1563-1567
Author(s):  
C. Li ◽  
J. Yao ◽  
R. Li ◽  
Y. Zhu ◽  
H. Yao ◽  
...  
Keyword(s):  
Remote Sensing ◽  
River Basin ◽  
Yangtze River ◽  
Soil Loss ◽  
Yangtze River Basin ◽  
Dynamic Monitoring ◽  
The Yangtze River ◽  
Soil And Water Loss ◽  
The Yangtze River Basin ◽  
Remote Sensing Interpretation

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.

scholarly journals Identifying the drivers of water yield ecosystem service: A case study in the Yangtze River Basin, China

2021 ◽  
Vol 132 ◽  
pp. 108304
Author(s):  
Xiu Zhang ◽  
Guanshi Zhang ◽  
Xie Long ◽  
Qi Zhang ◽  
Dongsheng Liu ◽  
...  
Keyword(s):  
River Basin ◽  
Ecosystem Service ◽  
Yangtze River ◽  
Yangtze River Basin ◽  
Water Yield ◽  
The Yangtze River ◽  
The Yangtze River Basin
Sign in / Sign up

Export Citation Format

Share Document