Paper
10 July 2009 Land use conversion and gravity center analysis in the coastal area of the Pearl River Estuary based on GIS and RS
Hui Zhang
Author Affiliations +
Proceedings Volume 7491, PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering; 74910C (2009) https://doi.org/10.1117/12.836387
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China
Abstract
Land use change is the hottest issue in the research field of globe changing. The Coastal Area of the Pearl River Estuary (CAPRE) where the zone has a typical feature of land use change and significant ecological effects is selected as a case. Applying the satellite images of Landsat-TM and the integrating techniques of RS and GIS, the present study analyzed the temporal and spatial processes and gravity center change in the Coastal Area of the Pearl River Estuary from 1988 to 2002. The classified results of multi-temporal TM remote sensing image data and transfer matrix of land use revealed that land use had been changed significantly from 1988 to 2002 in the Coastal Area of the Pearl River Estuary. Various types of land use convert frequently, which mainly reflect in the waters, the cultivated land loss and construction land increase and their different direction migration of the gravity center. After 1995 land use degree of the study area grows slower, which shows the Coastal Area of the Pearl River Estuary emphasized the overall development after the rapid expansion. On the east of the Coastal Area of the Pearl River Estuary the land use change which has experienced more rapid change represented the overall trend.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hui Zhang "Land use conversion and gravity center analysis in the coastal area of the Pearl River Estuary based on GIS and RS", Proc. SPIE 7491, PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering, 74910C (10 July 2009); https://doi.org/10.1117/12.836387
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KEYWORDS
Remote sensing

Geographic information systems

Image classification

Agriculture

Earth observing sensors

Accuracy assessment

Image processing

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