National inventory is the most frequently way to get forestcover information. However, the uneven quality in time and space,inconsistent survey methods, and intensive labor makes nationalinventory not the optimal way to quickly acquire forest cover infor-mation at a large regional scale. Remote sensing has long been an effective means of monitoring land cover with its ability to quickly collect information at large scale, and becomes the effective method to obtain forest cover information . Many land cover maps at global and regional scales have been produced in recent years using remote sensing data, and the popular products include the University of Maryland land cover map , International Geosphere Biosphere Programme (IGBP) global land cover dataset ,European Commission Joint Research Centre Global land cover for the year 2000 , the MODIS global land cover map, and the finer resolution global land cover. In addition, many efforts have been to make global and regional thematic forest cover maps, such as MODIS Vegetation Continuous Fields (VCF) product (Hansen et al.,2003), the Japan Aerospace Exploration Agency (JAXA) forest covermap, the United Nations Educational Scien-tific and Cultural Organization (UNESCO) implemented ReducingEmissions from Deforestation and Forest Degradation (REDD+)project , forest cover change map made byUniversity of Maryland