Validation for accuracy of land cover remote sensing mapping of China at scale of 1:250,000 in East Inner Mongolia
全国1:25万土地覆被遥感制图精度在内蒙古东部的实地验证

Land cover is one of the important research fields of global change and regional sustainable development. Land cover data are the basis for supporting studies on global change and regional sustainable development. High quality of basic data is the fundamental guarantee of reliability of production of science research. From 2007 to 2009, two sets of map of land cover in China at a scale of 1:250000 respectively in the 1980s and 2005 were produced jointly by eight institutes of Chinese Academy of Sciences (CAS), including Institute of Remote Sensing Applications and Institute of Geographic Sciences and Natural Resources Research. In order to evaluate accuracy of the land cover remote sensing mapping, a field survey was carried out in Hulun Buir in east Inner Mongolia and information from 190 sampling sites was collected in August, 2009. The one or half point deduction method, which means that 1 point is deducted if the first level of category is classified incorrectly and 0.5 points deducted if the second level of category inside the same first category incorrectly for each sampling site, was applied to validate the accuracy of the mapping. The results from verification show that overall accuracy of data based on 190 sampling sites reaches 84.21%, and the accuracies of settlement, farmland, wetland/water body, grassland and forest with 10, 67, 20, 59 and 34 sampling sites reach 100%, 92.54%, 87.50%, 81.36%, and 66.18% respectively. The incorrect classification cases mainly include that (1) Bottomland of river and lake was interpreted to marsh; (2) Irrigable land was interpreted to paddy field; (3) Meadow grassland interpreted to typical grassland; (4) Typical grassland interpreted to desert; (5) Forest interpreted to grassland.