Acta Geodaetica et Cartographica Sinica ›› 2022, Vol. 51 ›› Issue (8): 1817-1825.doi: 10.11947/j.AGCS.2022.20210291

• Cartography and Geoinformation • Previous Articles     Next Articles

A fast matching method of coastline changes using single-chain numbering

CHENG Siyuan1,2, ZHANG Ying1,2, ZHAI Liang1,2   

  1. 1. Research Center for Natural Resources Surveying and Monitoring, Chinese Academy of Surveying and Mapping, Beijing 100036, China;
    2. Key Laboratory of Surveying and Mapping Science and Geospatial Information Technology of MNR, Beijing 100036, China
  • Received:2021-05-21 Revised:2021-12-07 Published:2022-09-03
  • Supported by:
    The Project for High-Level-Innovation Talents in Science and Technology,Ministry of Natural Resources (No.12110600000018003908);The Research Projects of the Chinese Academy of Surveying and Mapping (Nos.AR2017;AR2001;AR2112)

Abstract: Affected by natural environment changes and human development activities in the coastal zone,coastline continues to change dramatically.Detecting coastline changes and matching the coastline change segments before and after changing are critical for analyzing coastline changes.As the traditional tools of spatial analysis lack of direct and effective matching function,this article introduced the single-chain numbering idea to match the coastline change segments quickly.The matching relationships of the coastline change segments were grouped into "one-to-one" and "multi-to-multi" .Besides,we also put forward a set of formula for determining the coastline change types such as position change,type change,disappearance and appearance.The matching and recording method of the coastline changes based on single-chain numbering has been designed and packed using python language.Experiments showed that the method proposed realized coastline changes matching quickly and accurately,which has solved the problem of matching the multi-to-multi coastline change segments.

Key words: single-chain numbering, coastline changes, matching method, change types

CLC Number: