Paper Info
Title
An Integrated Approach for Detection and Prediction of Greening Situation in a Typical Desert Area in China and Its Human and Climatic Factors Analysis.
Abstract
The combined study of vegetation coverage (VC) and land use change provides important scientific guidance for the restoration and protection of arid regions. Taking Hongjian Nur (HJN) Lake in the desert region as a case study, the VC of this area was calculated using a normalized difference vegetation index (NDVI), which is based on a mixed pixel decomposition method. A grey forecasting model (GM) (1, 1) was used to predict future VC. The driving factors of VC and land use change were analyzed. The results indicate that the average VC of the whole watershed showed a gradual increase from 0.29 to 0.49 during 2000-2017. The prediction results of the GM VC showed that the greening trend is projected to continue until 2027. The area of farmland in the watershed increased significantly and its area was mainly converted from unused land, grassland, and forest. The reason for increased VC may be that the combination of the exploitation of unused land and climate change, which is contrary to the country's sustainable development goals (SDG; goal 15). Therefore, the particularities of the local ecological environment in China's desert area needs to be considered in the development of ecological engineering projects.
Year
DOI
Venue
2020
10.3390/ijgi9060364
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
Keywords
DocType
Volume
Hongjian Nur,vegetation coverage,land use,remote sensing,climate change
Journal
9
Issue
Citations 
PageRank 
6
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Lei Zhou101.35
Siyu Wang201.01
Mingyi Du301.69
Jianhua Yang401.01
Yinuo Zhu501.01
Jianjun Wu621.73