Abstract
In this paper, RS, GIS and GPS technologies are used to interpret the remote sensing images of the north shore of Qinghai Lake from 1987 to 2014 according to the inversion results of vegetation coverage (FVC), albedo, land surface temperature (LST), soil moisture (WET) and other major parameters after image preprocessing, such as radiometric correction, geometric correction and atmospheric correction. On this basis, the decision tree classification method based on landsat8 remote sensing image is used to classify the desertification land in this area, and the development and change of desertification in this period are analyzed. The results show that the fluctuation of desertification land area in this area increased during the study period, but from 2003 to 2014, the land area of mild desertification, moderate desertification and severe desertification land were respectively decreased 0.92, 145.89 and 29.39 km2, while the area of serious desertification land still has a slow increasing trend. Whether the driving force of desertification change trend in this area is caused by human factors or global change needs to be further studied.
Highlights
Desertification is one of the serious ecological, social and economic problems in the arid and semi-arid areas of the world, which seriously affects and puzzles the survival of all mankind and the sustainable development of society
The accuracy evaluation results are shown in Tab. 7. It can be seen from Tab. 7 that the decision tree classification method based on vegetation coverage, adjusted soil vegetation index, albedo, land surface temperature and soil moisture have high extraction accuracy
From 1987 to 1996, the total area of desertified land increased by 175.82 km2, of which the area of mild desertified land increased by 60.47 km2, the area of moderate desertified land increased by 121.33 km2, the area of severe desertified land increased by 18.23 km2, the area of severe desertified land decreased by 24.21 km2, and the area of moderate desertified land developed the fastest. This is mainly due to the rapid growth of population in the area around Qinghai Lake in the 1990s, which leads to the increasing demand for the development of agriculture and animal husbandry, the excessive reclamation of grassland and the aggravation of desertification
Summary
Desertification is one of the serious ecological, social and economic problems in the arid and semi-arid areas of the world, which seriously affects and puzzles the survival of all mankind and the sustainable development of society. CMC, 2022, vol., no.1 dynamically monitor desertification by using the spatiotemporal dynamic indicators of vegetation coverage [1,2,7,8,9] From these studies, for different scales of remote sensing images, the accuracy of classification results obtained by using thematic index is not very ideal, and there are many indicators that can reflect desertification. In the application of remote sensing monitoring, it is necessary to select an appropriate index system to extract desertification information according to the land use characteristics of the study area. This paper mainly uses different methods and technologies, using high-resolution images, decision tree classification and other mathematical statistical methods to quantitatively analyze the evolution mechanism and rule of desertification on the North Bank of Qinghai Lake, so as to provide decision support for desertification prevention and control in Qinghai Lake area. The calibration parameters of landsat image are queried in the MTL file attached to the image [12,13]
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