USING MODIS TIME SERIES DATA TO DETECT FOREST COVER CHANGE

ABSTRACT: Forest cover change is an important part of global environmental change, which could induce a series of bad effects to the environment. And the forest cover change detection is indispensable for sustainable forest management. Considering the Moderate Resolution Imaging Spectro-radiometer (MODIS) can provide global vegetation condition in a large temporal and spatial scale, it plays a significant role in monitoring the vegetation change. In this paper, the Harmonic Analysis of Time Series (HANTS) was used to remove the random noises caused by clouds and snows. And then a decision tree was built based on the phenology features of vegetation extracted from the MODIS EVI products, Land surface temperature and topographic condition to get the forest cover map in Daxing’anling Mountain in 2000 and 2010. Then the statistical analysis is conducted to detect the forest cover change in the area. Results showed that the area of needle forest is decreasing and the portion of shrub is increasing, the residence place is slightly increased. The forest cover change mainly happened in the southeastern and eastern part in the area where the human activities are more active