Vegetation cover change in semi-arid northeast China using SPOT VEGETATION data

Xiangnan Liu; Fang Huang; Ping Wang

doi:10.1117/12.733239

9 October 2007 Vegetation cover change in semi-arid Northeast China using SPOT VEGETATION data

Xiangnan Liu, Fang Huang, Ping Wang

Proceedings Volume 6679, Remote Sensing and Modeling of Ecosystems for Sustainability IV; 66790D (2007) https://doi.org/10.1117/12.733239
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

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.

Citation Download Citation

Xiangnan Liu, Fang Huang, and Ping Wang "Vegetation cover change in semi-arid Northeast China using SPOT VEGETATION data", Proc. SPIE 6679, Remote Sensing and Modeling of Ecosystems for Sustainability IV, 66790D (9 October 2007); https://doi.org/10.1117/12.733239

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