Ministry of Science and Technology, PR China under national '863' project [2012AA102001]; Central South University of Forestry and Technology [0990]
机构署名：
本校为第一且通讯机构
院系归属：
林学院
摘要：
Remotely sensed data have been widely used for classification of land-use and land-cover (LULC) types. However, classifying different forest types in Northeast China using satellite images is still a great challenge because of the similar spectral reflectances of different tree species. The differences of vegetation phenological characteristics provide the potential of classifying the types using time series of spectral variables derived from images. In this study, time series of the normalized difference vegetation index (NDVI) and enhanced ve...
