Paper
24 October 2011 Salt-marsh geomorphological patterns analysis based on remote sensing images and lidar-derived digital elevation model: a case study of Xiaoyangkou, Jiangsu
Yan Xie, Xiaoxiang Zhang, Xianrong Ding, Siqi Liu, Changkuan Zhang
Author Affiliations +
Proceedings Volume 8286, International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications; 828626 (2011) https://doi.org/10.1117/12.913039
Event: International Symposium on Lidar and Radar Mapping Technologies, 2011, Nanjing, China
Abstract
It is very difficult to perform geomorphological analyses and modeling in the salt marshes because of fieldwork logistics, the tidal oscillation and variability, and the inherent dynamic nature of these environments. Recently novel technologies and methods introduce the capability to create high-resolution biophysical and elevation databases to quantitatively characterize salt marsh geomorphology in support of improved understanding of the evolution of intertidal systems. This study combines the use of high-resolution imagery obtained at low tides with a LIDAR-derived digital elevation mode (DEM) of Xiaoyangkou, a typical Jiangsu Coastal tidal estuarine system near the Jiangsu Radiate Sand Ridges, to quantify relationships among marsh features, their metrics, elevations, and tidal datum. The methods used to quantify features across an intertidal watershed in its entirety represent a significant advance in support of future development of process-driven models to explain these observations.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yan Xie, Xiaoxiang Zhang, Xianrong Ding, Siqi Liu, and Changkuan Zhang "Salt-marsh geomorphological patterns analysis based on remote sensing images and lidar-derived digital elevation model: a case study of Xiaoyangkou, Jiangsu", Proc. SPIE 8286, International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications, 828626 (24 October 2011); https://doi.org/10.1117/12.913039
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KEYWORDS
LIDAR

Remote sensing

Data modeling

Databases

Geographic information systems

Image classification

Coastal modeling

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