The analysis on the inversion of the seawater intrusion based on RS: a case study of Longkou City

Jianrong Cao; Hongjun Yu; Xingyong Xu; Yi Gao; Changhui Zhou

doi:10.1117/12.834589

30 October 2009 The analysis on the inversion of the seawater intrusion based on RS: a case study of Longkou City

Jianrong Cao, Hongjun Yu, Xingyong Xu, Yi Gao, Changhui Zhou

Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74981T (2009) https://doi.org/10.1117/12.834589
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

Hydrosphere movement in coastal zone performs as salty and fresh water mutual function. The Longkou city coastal zone which moves in the humanity under the intervention, has initiated the large-scale sea water intrusion, and therefore was especially under severe circumstances since 1980s. Until the end of 1980s and the beginning of the 90's, the sea water intrusion zone has formed the belt which spread fast from several hundred meters to several thousand meters along the coastal zone of Longkou city. Taking the landsat TM images in 2000 as data sources, first we applied the principal components transformation and analysis to analyze the six TM wave bands, and then use the histogram equalizing to deal with them. We use the two-value approach to be possible to remove the villages and small towns, the path, the pond (fishpond), the vegetables greenhouses, the rivers, the sand very conveniently. We take wave band as the research band, TM3, TM4 and TM5, which passed through correlation coefficient confirmation. Using the principal components analysis method to determine vegetation degree of coverage, the bare land index and the green index, the humidity analyzed in turn as four factors of the sea water intrusion. Inversion model of sea water intrusion is build up with the four factors. Finally a case study on the Longkou city, the analysis is obtained that the results have a very good correlation with the field measurements, and in accordance with the extent of the intrusion is divided into four categories.

Citation Download Citation

Jianrong Cao, Hongjun Yu, Xingyong Xu, Yi Gao, and Changhui Zhou "The analysis on the inversion of the seawater intrusion based on RS: a case study of Longkou City", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74981T (30 October 2009); https://doi.org/10.1117/12.834589

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KEYWORDS

Vegetation

Remote sensing

Chlorine

Atmospheric modeling

Humidity

Image processing

Analytical research

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