Analysis of Spatial and Temporal Distribution Characteristics of Land Desertification Based on GIS and Remote Sensing Images

Author:

Cui Li1ORCID

Affiliation:

1. School of Prospecting and Surveying Engineering, Changchun Institute of Engineering, ChangChun 130021, China

Abstract

Due to the complex geographical situation in China, in this paper, the area of land desertification is 98.5% of the total land desertification area in China. Based on the measured data of GIS and remote sensing images, we will discuss the spatial and temporal distribution characteristics of land desertification in China by calculating standardized precipitation evapotranspiration index (SPEI) and normalized vegetation index and establishing the CA model. The results show the following. (1) The trend of desertification in China has decreased as a whole, and the percentage of nondesertification has increased from 36.91% in 1991 to 44.46% in 2020, an increase of 7.55%. Extremely severe desertification increased from 21.72% to 24.25%, an increase of 2.53%. (2) The drought situation in the study area gradually improved, and the change trend of SPEI decreased by 74%. (3) In recent ten years (2011–2020), the vegetation grew well gradually, and it was in the best state in 2018. The NDVI index value increased by 5.9% compared with the average value in this decade. (4) The model designed by us works very well, and the results of simulating and testing the Three Rivers Source region are very little different from the actual situation, which meets our research requirements.

Funder

Education Department of Jilin Province

Publisher

Hindawi Limited

Subject

Computer Science Applications,Software

Reference25 articles.

1. Time-space evolution of desertification land in northern China;T. Wang;Journal of Desert Research,2003

2. Land desertification monitoring and assessment in Yulin of Northwest China using remote sensing and geographic information systems (GIS)

3. GIS-based assessment on sensitivity to land desertification in Gansu province;K. Liu;Bulletin of Soil and Water Conservation,2002

4. The study of land desertification in transitional zones between the MU US Desert and the Loess Plateau using RS and GIS?a case study of the Yulin region

5. Analysis on desertification dynamics based on remote sensing and GIS-exampled in Yanchi county, Ningxia;Y. Qi;Journal of Desert Research,2003

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