Forest Disturbance Monitoring Based on Time Series of Landsat Data

【Objective】 Considering the character of forest disturbance in China is frequent and complicated,we use the series trajectory analysis method to monitor forest disturbance which can provide references for carbon cycle and carbon accumulation of terrestrial forest ecosystems and climate change research. It is of important significance to the terrestrial carbon cycle and climate change research. 【Method】 We conduct a study in Changting county base on 15 Landsat timeseries data from 2000 to 2016 by adopting a time-series trajectory analysis technique(LandTrendr) to identify forest disturbance which apply segment properly and fit linearly a time sequence on the time-series trajectory. The results are verified based on field survey and pixel of interference by using the Google image and global 30 m resolution of GDEM digital elevation products. 【Result】 The total area of forest disturbance is 192. 49 km~2 and the mean area is 12. 83 km~2 within the area from 2000 to 2016,of which that in 2001 is the minimum and le