Author(s)

Liping Zheng¹, Liangjun Zhao^1,2*, Bo Xiao¹, Liang Tan¹, Fengling Zheng², A Siya•Man Like²

¹College of Computer Science and Engineering, Sichuan University of Light Chemical Industry, Zigong, China.
²Institute of Grass Industry, Xinjiang Academy of Animal Husbandry, Urumchi, China.

In recent years, grassland degradation has become one of the most important ecological problems in China under the interwoven influence of environmental and human factors. Based on the analysis of the spatial-temporal characteristics and driving factors of grassland degradation and in order to deeply understand the research status of grassland degradation monitoring methods and evaluation index system, this paper mainly investigates the research progress of grassland degradation remote sensing monitoring methods and evaluation indicators. Furthermore, this paper summarizes the more commonly used remote sensing monitoring methods and evaluation methods, analyzes the problems existing in the evaluation indicators of grassland degradation, and points out the research direction of the evaluation indicators in the future. Finally, a comprehensive remote sensing monitoring and evaluation system are established in this paper. Research findings: because of the variety of grassland degradation types and the emergence of remote sensing monitoring and evaluation methods, establishing a comprehensive remote sensing monitoring and evaluation system to classify and summarize the research methods of different grassland degradation can lay a foundation for the development of grassland degradation evaluation and monitoring in the future and provide research ideas. It is the trend of grassland degradation remote sensing research in the future.

Grassland Degradation, Remote Sensing Monitoring, Remote Sensing Evaluation Index

Zheng, L. , Zhao, L. , Xiao, B. , Tan, L. , Zheng, F. and Like, A. (2022) Overview of Grassland Degradation Research Based on Remote Sensing Monitoring. Open Journal of Applied Sciences, 12, 614-630. doi: 10.4236/ojapps.2022.124042.