Paper Title:
Vulnerability Degree Assessment of Red Tide Disaster Based on High-Resolution RS Images and GIS
  Abstract

To calculate and analyses the spatial distribution of the red tide disaster receptors vulnerability degree, a high-resolution RS images and GIS-based method was proposed. According to the vulnerability content of natural disaster, the damage characteristic of red tide disaster and the sample characteristic spectrum, the definition of the vulnerability of red tide disaster receptors was defined and its value ranging from 0 to 1. The spatial distribution information extraction methods of the vulnerability assessment indicators based on high-resolution RS image were established. A GIS-based method of the vulnerability degree assessment method was put forward. Finally, a Dongtou waters is taken as testing area to verify the above method, and the experiment results are satisfying.

  Info
Periodical
Chapter
Chapter 2: Microwaves Optics and Image
Edited by
David Wang
Pages
481-486
DOI
10.4028/www.scientific.net/KEM.500.481
Citation
S. Y. Wen, L. L. Song, D. Z. Zhao, H. Long, "Vulnerability Degree Assessment of Red Tide Disaster Based on High-Resolution RS Images and GIS", Key Engineering Materials, Vol. 500, pp. 481-486, 2012
Online since
January 2012
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Di Mu, Jian Hua Tao
Abstract:The purpose of this work is to integrate GIS techniques into the eutrophication assessment process of a large scale coastal area – Bohai Bay....
1073
Authors: Ming Chang Li, Guang Yu Zhang, Qi Si, Shu Xiu Liang, Zhao Chen Sun
Chapter 3: Environmental Planning and Assessment
Abstract:A synthetic assessment method and systematic procedure are developed in this paper based on cloud theory. The calibration results work well...
821
Authors: Yue Zhou, Yue Hua Zhou, Li Mei Ye
Chapter 16: Hydrology, Water Resources Engineering, Soil and Water Conservation
Abstract:Using the daily precipitation and disaster census data of 76 metrological stations in Hubei province from 1960 to 2005, the authors studied...
1581