Open AccessResearch on the change of vegetation loss and gain in Shenyang based on NDVI index
Author(s) -
Zhiwei Xie,
Jiwei Ping,
Li Sun,
Yuchen Dai
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1629/1/012054
Subject(s) - normalized difference vegetation index , vegetation (pathology) , enhanced vegetation index , vegetation cover , cover (algebra) , land cover , environmental science , vegetation index , remote sensing , physical geography , land use , leaf area index , geography , ecology , engineering , medicine , mechanical engineering , pathology , biology
Monitoring long time series of vegetation cover changes is essential to investigate the vegetation gain/loss and ecological conservation of an area. This paper first calculates and synthesizes the maximum NDVI image based on Landsat data of Google Earth Engine platform. Secondly, the vegetation cover is obtained using the dimidiate pixel model. Thirdly, the temporal and spatial trends of vegetation cover are analyzed using linear regression analysis method. Finally, with the support of random pre algorithm, the land cover types are obtained, and the gain / loss change types of vegetation are analyzed. The results show that the overall vegetation cover in Shenyang is mainly high cover. Vegetation cover change was dominated by significant gain, with minimal significant loss and an overall upward trend. Large areas of land cover in the study area were converted to vegetation, while vegetation in some areas of the district was converted to construction land.