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Proceedings Paper

Investigations on methods of land cover classification of TM image in mountain area
Author(s): Qingsan Shi; Xianfeng Zhang; Qingdong Shi; Wei Gao
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Paper Abstract

The main purpose of this study was to develop a methodology for classification of Landsat imagery for mountain area cover type mapping. Single-stage classification and multi-stage iterative classification were evaluated to determine which classification of satellite imagery could be employed to obtain accurate land cover information in Mentougou district located in western Beijing with diverse topography. TM data used in the study consists of one quarter-scene acquired on 19 June, 2001. The use of ancillary information in the process of deriving thematic maps from satellite imagery was analyzed. Field surveyed data were not only used for the production of the vegetation map of Mentougou but for the ground information of the land covers in the study area Other ancillary data layers such as topography was used in the analysis. Five classification methods were used for classifying the TM data in the study: 1) single-stage classification, 2) single-stage classification with DEM analysis, 3) single-stage classification with PCA analysis, 4) iterative classification with band selection, and unsupervised classification. The accuracy of each classification is expressed as an error matrix from which the Kappa statistic and its large sample variance are derived. The results indicate that the iterative multi-stage classification approach was significantly better than the single-stage classification approach. And this organizational methodology for classification is feasible and reliable in mountain areas image classification.

Paper Details

Date Published: 9 October 2009
PDF: 6 pages
Proc. SPIE 7471, Second International Conference on Earth Observation for Global Changes, 74710E (9 October 2009); doi: 10.1117/12.836446
Show Author Affiliations
Qingsan Shi, Xinjiang Univ. (China)
Xianfeng Zhang, Peking Univ. (China)
Qingdong Shi, Xinjiang Univ. (China)
Wei Gao, Colorado State Univ. (United States)

Published in SPIE Proceedings Vol. 7471:
Second International Conference on Earth Observation for Global Changes
Xianfeng Zhang; Jonathan Li; Guoxiang Liu; Xiaojun Yang, Editor(s)

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