title: [Accuracy analysis of vegetation mapping for Meili Snow Mountain area, northwest Yunnan, China].
abstract: The Meili Snow Mountain (28 degrees 20'-28 degrees 33'N, 98 degrees 30'-8 degrees 52'E) is a very famous mountain in Northwest Yunnan of China by its rich and well protected biodiversity and Tibetan cultural diversity. By applying 3S (RS-Remote Sensing, GIS-Geography Information System, GPS-Global Position System) technology, the 1:50000 vegetation map of Meili Snow Mountain area (total about 332 km2) was drawn out. The vegetation in this area was classified into 18 vegetation types except for stone, glacier and river system. The vegetation map was rectified by applying the GPS points got from the fields. The numbers of GPS points were calculated by the formula of numbers of samples in statistics. 313 GPS points were used to rectify the vegetation map. The numbers were fit for the formula of numbers of samples in Statistics. The accuracy and verify of vegetation types distribution in the map was analyzed by building a Probability Error Matrix (PEM) and through the variance analysis. The results indicated that the overall accuracy (OA) of the vegetation map was 84.7%. The accuracy of vegetation map finished by 3S technology was lied on the area of the region and the grade of vegetation class first, but the grade of vegetation class classified by remote sensing technology disaccord with the traditional vegetation class system. The other factos deciding the accuracy of vegetation were the distinguish ability of Remote Sensing image, the accuracy of distinguish, and the numbers of the samples, including vegetation class experts knowledge.
authors.affiliation: Institute of Ecology and Geobotany, Yunnan University, Kunming 650091, China. zhiming-zhang76@hotmail.com
authors.forename: Zhiming
authors.initials: Z
authors.lastname: Zhang
authors.forename: Xiaokun
authors.initials: X
authors.lastname: Ou
authors.forename: Chongyun
authors.initials: C
authors.lastname: Wang
authors.forename: Yucheng
authors.initials: Y
authors.lastname: Wu
mesh_terms: D028202:Abies / Q000254:growth & development*; D002681:China; D040362:Geographic Information Systems; D031281:Hippophae / Q000254:growth & development*; D028223:Pinus / Q000254:growth & development; D063245:Plant Development; D017215:Satellite Communications / Q000295:instrumentation