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Proceedings Paper

Vegetation cover change in semi-arid northeast China using SPOT VEGETATION data
Author(s): Xiangnan Liu; Fang Huang; Ping Wang
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Paper Abstract

A time series of SPOT-VEGETATION Normalized Difference Vegetation Index (NDVI) data with 1×1 km2 spatial resolution are used to detect the vegetation cover change in west Songnen plain, Northeast China during the period of 1998 to 2006. The MVC (Maximum Value Composites) method and difference value method were used to analyze the inter-annual changes. Principal component analysis (PCA) of the time-series NDVI imageries was performed effectively for discriminating land covers. During the last 9 years, the vegetation degradation is popular in most regions of the study area. Though there are some regions where vegetation cover is increasing, the increasing amplitude is smaller than the decreasing amplitude on the whole.

Paper Details

Date Published: 9 October 2007
PDF: 11 pages
Proc. SPIE 6679, Remote Sensing and Modeling of Ecosystems for Sustainability IV, 66790D (9 October 2007); doi: 10.1117/12.733239
Show Author Affiliations
Xiangnan Liu, China Univ. of Geosciences (China)
Fang Huang, Northeast Normal Univ. (China)
Ping Wang, Northeast Normal Univ. (China)

Published in SPIE Proceedings Vol. 6679:
Remote Sensing and Modeling of Ecosystems for Sustainability IV
Wei Gao; Susan L. Ustin, Editor(s)

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