Abstract
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.
Highlights
Water and soil loss is widespread in the world
This paper makes use of the remote sensing images and assists Arc GIS to carry out technical innovations and experiments to improve the accuracy of remote sensing interpretation in internal and external industries
In order to verify the effect of these new technologies on the interpretation of remote sensing images, they have been successfully applied in dynamic monitoring of soil and water loss in the Yangtze River Basin, China from 2015~2019
Summary
Water and soil loss is widespread in the world. Water erosion is by far the most important type of soil degradation affecting about 11square kilometres (km2) worldwide (56% of the total area affected by human-induced soil degradation). When face the complicated geological environment, the traditional exploration methods in the field have too many difficulties to cope with, and it is difficult to enhance and ensure the overall level and quality of engineering geological investigation (Mao, Rui et al 2011) It is a more efficient and convenient method to use remote sensing technology for dynamic monitoring of water and soil loss. Based on the technical difficulties of the above-mentioned dynamic detection of the water and soil loss of the Yangtze River for many years, this article proposes a series of innovative theories, methods and technologies, and develops corresponding prototype systems, hoping to improve the accuracy and speed of interpretation, and to improve remote sensing interpretation the scientific and timeliness of the results
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