MONITORING FOREST ECOSYSTEM VEGETATION CHANGES BY COMBINING NDVCI INDEX ANALYSIS AND REMOTE SENSING TECHNOLOGY

To more accurately monitor changes in forest vegetation, the study combines the normalized difference vegetation index with remote sensing technology.The study proposes using multi-source remote sensing images and detection algorithms to automatically monitor changes in forest vegetation.First, remote sensing image data were obtained from GF-1 and Landsat8 satellites, and then preprocessed through calibration and other methods to obtain clear remote sensing image maps.Then, the dynamic change characteristics of remote sensing images were analyzed.Based on this, a threshold classification algorithm based on normalized difference vegetation change index was constructed.Finally, an empirical analysis was conducted using the Sanjiangyuan region as an example.The results indicated that the vegetation coverage rate in the Sanjiangyuan area was mainly low in 2018, at about 32%.The vegetation coverage rate in 2022 was mainly medium coverage and high coverage, which were about 30% and 31% respectively.In addition, it is known that cultivated and forested land in the Sanjiangyuan area is gradually increasing, while grassland and other types of vegetation are decreasing.The results indicate that the method used in this study can achieve automatic monitoring of forest vegetation changes.