Abstract
The rapid and effective identification of the spatial distribution of rock deserts in ice–snow melting areas can provide useful information for the prevention of natural disasters. In this study, Landsat TM/OLI were used to track the evolution of snow lines in the snow melting areas of Yushu Tibetan Autonomous Prefecture of the Qinghai-Tibet Plateau (hereinafter referred to as Yushu Prefecture) during the last 30 years. A total of seven extraction schemes were used to classify the rock desert in the ice–snow melting area by remote sensing. Our results show that: (1) The accuracy of the multi-index factor compound analysis and object-oriented classification compound method was the highest. This method can provide a rapid and efficient reference scheme for rock desert extraction in the plateau ice–snow melting area. (2) The combinations of two single methods with higher accuracy can further improve the total accuracy. If a single method with lower accuracy is involved in the multi-method fusion, the accuracy of the method with lower accuracy can be improved. (3) In the past 30 years, there has been a large amount of ice–snow melting in Yushu Prefecture. The ice–snow melting area accounts for 53.78% (1451.04 km2) of the ice–snow area, and the bare rock and bare stone in the rock desert account for 63.77% of the total area of the ice–snow melting area. Bare sand and bare soil area account for 30.27% of the total area of ice and snow melting area.
Highlights
Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation
We proposed a model for estimating the spatial distribution of the rock desert, as shown in Formula (4)
Study,we weused usedcombinations combinationsofofthree threemethods methodstototry trytotoobtain obtain melting a a high-precision classification of rock desert. This includes the fusion of multi-index high-precision classification of rock desert. This includes the fusion of multi-index factor factor compound analysis and multi-index principal component analysis, the fusion of compound analysis and multi-index principal component analysis, the fusion of multimulti-index factor compound analysis and object-oriented extraction, the fusion of multiindex factor compound analysis and object-oriented extraction, the fusion of multi-index index principal component analysis and object-oriented extraction, and the fusion ofmeththree principal component analysis and object-oriented extraction, and the fusion of three methods
Summary
Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation A total of seven extraction schemes were used to classify the rock desert in the ice–snow melting area by remote sensing. Our results show that: (1) The accuracy of the multi-index factor compound analysis and object-oriented classification compound method was the highest This method can provide a rapid and efficient reference scheme for rock desert extraction in the plateau ice–snow melting area. Rock deserts affect regional differences in global climate change response through the interaction of landing surface and air. Their expansion increases the probability of local natural disasters such as soil erosion. This in turn has a significant impact on the climate, hydrology and ecological environment of the plateau, and brings great challenges for the protection of the ecological environment and the development and utilization of land resources
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
