Accuracy analysis of vegetation mapping for Meili Snow Mountain area,northwest Yunnan,China

Abstract

Abstract: The Meili Snow Mountain (28°20'～28°33'N,98°30'～8°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∶50 000 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 factors 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.

Key words: Vegetation map, 3S technology, Error matrix, Accuracy analysis, Meili Snow Mountain

CLC Number:

S127
TP97

ZHANG Zhiming, OU Xiaokun, WANG Chongyun, WU Yucheng. Accuracy analysis of vegetation mapping for Meili Snow Mountain area,northwest Yunnan,China[J]. Chinese Journal of Applied Ecology, 2004, (9): 1517-1522.

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