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Proceedings Paper

The study on remote sensing inversion of ecological environmental indices and their dynamic analysis in the six karst peak cluster areas, Guangxi
Author(s): Zhiqiang Jia; Hong Wu; Min Hao; Lixin Xing
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Paper Abstract

Karst Peak Cluster areas are main type of karst landform in Guangxi, which are as controllers of ecological environment to plays a important role in Guangxi. It has important practical significance to dynamic monitor and appraisal Guangxi’s ecological environment. Paper choose EOS/MODIS remote sensing data for five period. Based on the necessity argument for giving domain and quantitative remote sensing, Doing a inversion to the Normalized Difference Vegetation Index NDVI and Vegetation coverage FC remote-sensing of Du’an, Debao, Liujiang, Nandan, Jingxi and Fengshan, where the six main Karst Peak-Cluster giving domain areas of Guangxi, And paper studied the longitudinal variance analysis and the horizontal inversion variance analysis for the inversion result .it shows that, any calculations which involves applying statistical characteristics -- the average value、variance、covariance and maximum / minimum value of image processing algorithm, should adopt the giving domain image processing algorithm model. Analysis of six karst peak cluster area FC longitudinal changes ,we find that The tendency of vegetation coverage of Six major karst peak cluster is” down then up”, but in general they were rising,; analysis of horizontal changes in Guangxi six major karst peak cluster vegetation coverage, Find that before 2008,the karst Peak-Cluster areas of Guangxi FC had West high and East low" spatial variation. after 2008, it had" North high South low" spatial variation.

Paper Details

Date Published: 14 May 2014
PDF: 9 pages
Proc. SPIE 9158, Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China, 91580X (14 May 2014); doi: 10.1117/12.2063879
Show Author Affiliations
Zhiqiang Jia, Jilin Univ. (China)
Guilin Univ. of Technology (China)
Hong Wu, Guilin Univ. of Technology (China)
Min Hao, Guilin Univ. of Technology (China)
Lixin Xing, Jilin Univ. (China)


Published in SPIE Proceedings Vol. 9158:
Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China
Qingxi Tong; Jie Shan; Boqin Zhu, Editor(s)

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