Forest burned scars area extraction using time series remote sensing data
Forest fire is one of the major disasters over the world,which is also an important factor influencing seccession of forest in the north.Fire disasters may cause huge economic losses and significantly impact the future forest ecological environment in the region.In this paper,considering the character of the vegetation growth state and the MODIS Global Disturbance Index (MGDI),we proposed a method for forest burned scars detection based on the 8-day MODIS Enhanced Vegetation Index (EVI) and Land Surface Temperature (LST).The proposed method was applied to the Daxing'an Mountains and its adjacent forest region.The result indicates that,this approach may effectiyely extract information about burned scar area.Compared with the results extracted from the Landsat disturbance products,this method is more sensitive to subtle abnormal changes in vegetation.The extracted ignition points are more concentrated and more accurate and reliable in the time scale.
NETL
NSTL
万方数据
维普
