Paper
14 May 2014 Spatial and temporal changes of vegetation information in the karst peak cluster area, Guilin
Chao Liu, Hong Wu
Author Affiliations +
Proceedings Volume 9158, Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China; 91580Z (2014) https://doi.org/10.1117/12.2064265
Event: Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China, 2012, Wuhan, China
Abstract
The karst peak clusters are main type of Karst landscape interspersed along Li River in Guilin. Their situation of ecological environment has impact on the environmental change of Guilin city directly and indirectly. To study the temporal and spatial characteristics of the impacts, two determinate region information, NDVI and TC2 were extracted from Landsat TM data at the eight areas of Karst peak cluster. The results showed that the values of NDVI and TC2 of the some karst peak cluster have changing trend from high to low then higher for different time, that is, from 1986, 1991 to 2006, and the values of NDVI TC2 of the different Karst peak cluster are different for same period time. It has relation in value from high to low, that is, No.5>No.4>No.3>No.8>No.7>No.6>No.2>No. As a result, ecological environment of Guilin city has underground unsymmetrical change in time and space during past 20 years namely from 1986 to 2006. The studying achievement can be foundation in science and technology for synthetically govern to ecological environment of Guilin city in 21 century.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chao Liu and Hong Wu "Spatial and temporal changes of vegetation information in the karst peak cluster area, Guilin", Proc. SPIE 9158, Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China, 91580Z (14 May 2014); https://doi.org/10.1117/12.2064265
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KEYWORDS
Environmental sensing

Remote sensing

Vegetation

Environmental monitoring

Image segmentation

Earth observing sensors

Lithium

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