AUTHOR=Xiao Shengjun , Yi Lin , Wang Zengjie , Liu Huiyu , Gao Hong , Yu Zhaoyuan 

TITLE=Remote Sensing Image-Based Comprehensive Monitoring Detection Platform for Coastal Tidal Mudflat Ecological Development

JOURNAL=Frontiers in Environmental Science

VOLUME=10

YEAR=2022

URL=https://www.frontiersin.org/journals/environmental-science/articles/10.3389/fenvs.2022.799027

DOI=10.3389/fenvs.2022.799027

ISSN=2296-665X

ABSTRACT=<p>Considering the embarrassments related to inadequate safety monitoring detection and chaotic development order during the current ecological development of coastal tidal mudflat, we put forward a remote sensing image-based comprehensive monitoring detection platform integrating image data acquisition, mechanism analysis, comprehensive evaluation, and intelligent monitoring detection for coastal tidal mudflat ecological development. The platform includes imaging and data fusion technology, comprehensive evaluation and spatial layout optimization technology, and dynamic safety monitoring and early warning technology. A case study on Dafeng coastal tidal mudflat was conducted. The results show that our research can provide substantial reference for the coordination, dynamic management, and comprehensive regulation for the ecological development of coastal tidal mudflat.</p>