Paper
15 November 2011 Distribution characteristics analysis of sites around Taihu Lake basin based on DEM and ETM+
Lijun Yu, Yuping Nie, Yan Zhang
Author Affiliations +
Proceedings Volume 8335, 2012 International Workshop on Image Processing and Optical Engineering; 833517 (2011) https://doi.org/10.1117/12.917573
Event: 2012 International Workshop on Image Processing and Optical Engineering, 2012, Harbin, China
Abstract
Many ancient sites of different cultural period distributed in the Taihu lake basin. The natural environment is the material foundation that the mankind relies for existence and development, so it's necessary to master the natural environment at that time in order to understand the culture of site. The paper analyzed morphological characteristics and temporal and spatial distribution of ancient site using GIS spatial analysis method which based on the remote sensing image and DEM data. Some terrain indexes were selected as the evaluation factor including altitude, slope, aspect, slope shape and surface rolling, which were used to analyze the relation between the spatial location of ancient site and the natural environment. The research shows the spatial location of ancient sites have a close relationship with natural environment by the terrain analysis and hydrological analysis. Especially, the water distribution plays an important role in the constraints of the distribution of ancient sites, meanwhile the ancients showed the capacity to adapt the environment. Throughout the development of the ancient sites, ancients and nature depend on each other for existence.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lijun Yu, Yuping Nie, and Yan Zhang "Distribution characteristics analysis of sites around Taihu Lake basin based on DEM and ETM+", Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 833517 (15 November 2011); https://doi.org/10.1117/12.917573
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KEYWORDS
Analytical research

Remote sensing

Shape analysis

Statistical analysis

Geographic information systems

Landslides

Natural disasters

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