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Proceedings Paper

Remote sensing classification method for divided areas applied to Xinjiang vegetation classification
Author(s): Qingdong Shi; Guanghui Lu; Xiaoling Pan; Subai Anabiek; Chenghu Zhou; Shunli Chang
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Paper Abstract

In this paper, the author make up a way of dividing whole remote sensing image into sub images to classify the type of vegetation. There are different types of vegetation in different geographic unit. So according to geographical region feature in a remote sensing image, the whole image is divided to several sub images, the types of vegetation in a sub image is less than in a whole image. Types of vegetation in a region graphic is easy to be showed, the threshold of classifying has a wide scope, with the assistance of Digital Elevation model (DEM) and slope maps, classification accurateness was improved. This way was applied in Xinjiang north, we hold NDVI (Normalized Difference Vegetation Index) image as data resource, dividing whole research area into four regions: Altai grassland region, West Zungaer region, Zhaosu region and East Tianshan region. Different classifying standard was used in different region, and then using GIS software together four regions into a whole classified image. Because this method was grounded on knowledge, the classification result of vegetation in Xinjiang north was improved to 89.33%.

Paper Details

Date Published: 14 July 2003
PDF: 8 pages
Proc. SPIE 4890, Ecosystems Dynamics, Ecosystem-Society Interactions, and Remote Sensing Applications for Semi-Arid and Arid Land, (14 July 2003); doi: 10.1117/12.466718
Show Author Affiliations
Qingdong Shi, Nanjing Institute of Meteorology (China)
Xinjiang Univ. (China)
International Ctr. for Desert Affairs (China)
Guanghui Lu, Xinjiang Univ. (China)
International Ctr. for Desert Affairs (China)
Xiaoling Pan, Xinjiang Univ. (China)
International Ctr. for Desert Affairs (China)
Subai Anabiek, Xinjiang Univ. (China)
Chenghu Zhou, State Key Lab. of Resources and Environmental Information Systems (China)
Shunli Chang, Xinjiang Univ. (China)
International Ctr. for Desert Affairs (China)


Published in SPIE Proceedings Vol. 4890:
Ecosystems Dynamics, Ecosystem-Society Interactions, and Remote Sensing Applications for Semi-Arid and Arid Land
Xiaoling Pan; Wei Gao; Michael H. Glantz; Yoshiaki Honda, Editor(s)

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