Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2469-2472, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-2469-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2469-2472, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-2469-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  02 May 2018

02 May 2018

STUDY ON ECOLOGICAL RISK ASSESSMENT OF GUANGXI COASTAL ZONE BASED ON 3S TECHNOLOGY

Z. Zhong1,2,3, H. Luo1,2,3, Z. Y. Ling1,2,3, Y. Huang1,2,3, W. Y. Ning1,2,3, Y. B. Tang1,2,3, and G. Z. Shao1,2,3 Z. Zhong et al.
  • 1Geomatics Center of Guangxi, People's Republic of China
  • 2Guangxi Branch of Satellite Surveying and Mapping Application Center, People's Republic of China
  • 3Guangxi Data and Application Center of High Resolution Earth Observation System, People's Republic of China

Keywords: Coastal Zone, Landscape Pattern, Ecological Risk, Remote Sensing, Geographic Information System

Abstract. This paper takes Guangxi coastal zone as the study area, following the standards of land use type, divides the coastal zone of ecological landscape into seven kinds of natural wetland landscape types such as woodland, farmland, grassland, water, urban land and wetlands. Using TM data of 2000–2015 such 15 years, with the CART decision tree algorithm, for analysis the characteristic of types of landscape’s remote sensing image and build decision tree rules of landscape classification to extract information classification. Analyzing of the evolution process of the landscape pattern in Guangxi coastal zone in nearly 15 years, we may understand the distribution characteristics and change rules. Combined with the natural disaster data, we use of landscape index and the related risk interference degree and construct ecological risk evaluation model in Guangxi coastal zone for ecological risk assessment results of Guangxi coastal zone.