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Extraction of palaeochannel information from remote sensing imagery in the east of Chaohu Lake, China |
Xinyuan WANG1,2, Zhenya GUO2, Li WU3(), Cheng ZHU3, Hui HE2 |
1. Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China; 2. College of Territorial Resources and Tourism, Anhui Normal University, Wuhu 241000, China; 3. School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China |
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Abstract Palaeochannels are deposits of unconsolidated sediments or semi-consolidated sedimentary rocks deposited in ancient, currently inactive river and stream channel systems. It is distinct from the overbank deposits of currently active river channels, including ephemeral water courses which do not regularly flow. We have introduced a spectral characteristics-based palaeochannel information extraction model from SPOT-5 imagery with special time phase, which has been built by virtue of an analysis of remote sensing mechanism and spectral characteristics of the palaeochannel, combined with its distinction from the spatial distribution and spectral features of currently active river channels, also with the establishment of remote sensing judging features of the palaeochannel in remote sensing image. This model follows the process of supervised classification → farmland masking and primary component analysis → underground palaeochannel information extraction → information combination → palaeochannel system image. The Zhegao River Valley in the east of Chaohu Lake was selected as a study area, and SPOT-5 imagery was used as a source of data. The result was satisfactory when this method has been successfully applied to extract the palaeochannel information, which can provide good reference for regional remote sensing archeology and neotectonic research. However, the applicability of this method needs to be tested further in other areas as the spatial characteristics and spectral response of palaeochannel might be different.
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Keywords
palaeochannel
remote sensing
information extraction
spectral characteristic
Chaohu Lake
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Corresponding Author(s):
WU Li,Email:jedi-wuli@163.com
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Issue Date: 05 March 2012
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