Abstract
Land desertification is a widely concerned ecological environment problem. Studying the evolution trend of desertification types is of great significance to prevent and control land desertification. In this study, we applied the decision tree classification method, to study the land area and temporal and spatial change law of different types of desertification in the North Bank of Qinghai Lake area from 1987 to 2014, based on the current land use situation and TM remote sensing image data of Haiyan County, Qinghai Province, The results show that the area of mild desertification land and moderate desertification land in the study area has decreased, while the area of severe desertification land and extreme desertification land has increased significantly in the past 30 years. The area of desertification land decreased by 4.02 km2, of which the area of mild and moderate desertification land decreased by 39.73 km2 and 36.8 km2 respectively, and the area of severe and extreme desertification land increased by 32.78 km2 and 39.73 km2 respectively. As for the mutual transformation relationship, the transformation from severe desertification land to extreme desertification land is the main, and the junction of severe desertification land and extreme desertification land is the sensitive area of transformation. In the north shore of Qinghai Lake, the sandy land tends to expand eastward. The research provides reference basis for local land desertification monitoring, and has a great guidance for local effective land desertification and soil and water conservation.
Highlights
Desertification is one of the serious ecological, social, and economic problems currently faced by arid and semi-arid regions worldwide [1,2]
High-precision remote sensing images and spatial statistical analysis technology allow for the fine monitoring, evaluation, and classification of regional desertification [12,13]
For remote sensing images of different scales, the accuracy of the classification results obtained by using thematic index may not be highly satisfactory [3,16]
Summary
Desertification is one of the serious ecological, social, and economic problems currently faced by arid and semi-arid regions worldwide [1,2]. Based on spectral hybrid analysis, to monitor desertification land changes, the difference between land surface temperature and normalized difference vegetation index (NDVI) is calculated to study and analyze the ecosystem of desertified areas [14,15]. Thematic indexes, such as the normalized exposure index, are widely used in classifying desertification. In the application of remote sensing monitoring, many desertification indicators must be selected, combined with the characteristics of land use in the study area, and an appropriate indicator system is selected to extract desertification information [3,13,14]
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