Remote sensing for sustainable development of coastal Zones-Summary of the first national conference on remote sensing of coastal zones

  • role: First author第一作者
  • Affiliation:

    Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China

  • Email:sunweiwei@nbu.edu.cn
  • Introduction:E-mailsunweiwei@nbu.edu.cn
SUN Weiwei1,  
  • Affiliation:

    Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

SU Fenzhen2,  
  • Affiliation:

    Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China

HOU Xiyong3,  
  • Affiliation:

    MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China

WU Guofeng4,  
  • Affiliation:

    State Key Laboratory of Estuarine Coastal Science, East China Normal University, Shanghai 200062, China

SHEN Fang5,  
  • Affiliation:

    Frontiers Science Center for Deep Ocean Multispheres and Earth System, School of Marine Technology, Ocean University of China, Qingdao 266100, China

CHEN Ge6,  
  • Affiliation:

    School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China

WU Zhifeng7,  
  • Affiliation:

    Department of Geography, The University of Hong Kong, Hong Kong 999077, China

ZHANG Hongsheng8,  
  • Affiliation:

    School of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou 215009, China

CHEN Chao9,  
  • Affiliation:

    Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China

ZHANG Yinghui1,  
  • Affiliation:

    Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China

YANG Gang1,  
  • Affiliation:

    Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

HUANG Chong2

ملخص

The First National Conference on Remote Sensing of Coastal Zones was successfully conducted from October 25 to 27, 2023, in Ningbo, China. With the theme “Remote Sensing and Sustainable Development of Coastal Zones,” the conference featured a main venue and 14 thematic sessions, including 13 invited presentations and 177 oral reports. Over 400 experts participated in discussions covering topics such as global change and coastal zone ecology, land-sea integration, coastal zone urban-rural development, coastal zone remote sensing big data and decision-making services, coastal zone disaster and recovery of remote sensing, coastal zone digital twin, and artificial intelligence, as well as coastal zone stereoscopic observation and fine-scale remote sensing.The conference successfully summarized the current development status, challenges, and future directions in the field of remote sensing in coastal zones. By providing a platform for experts and scholars to engage in extensive and in-depth discussions, the event contributed to the further advancement of remote sensing in coastal zones in China, ultimately supporting the realization of sustainable development goals for coastal areas.

مفهوم

remote sensing;coastal zones;sustainable development;ecology;artificial intelligence;expert opinion

References

  1. 1.
    Hou X Y, Di X H, Hou W, Wu L, Liu J, Wang J H, Su H F, Lu X, Ying L L, Yu X Y, Wu T, Zhu M M, Han L and Li M J. 2018. Accuracy evaluation of land use mapping using remote sensing techniques in coastal zone of China. Journal of Geo-Information Science, 20(10): 1478-1488
  2. 2.
    Sun W W, Liu W W, Wang Y M, Zhao R, Huang M Z, Wang Y, Yang G and Meng X C. 2023. Research progress and prospects of hyperspectral remote sensing for global wetland from 2010 to 2022. National Remote Sensing Bulletin, 27(6): 1281-1299
  3. 3.
    Sun X, Meng Y, Diao W H, Huang L J, Zhang X, Luo J C, Gao L R, Wang P J, Yan Z Y, Gao L J, Dong W, Feng Y C, Li J H and Fu K. 2022. The review of AI-based intelligent remote sensing capabilities. Journal of Image and Graphics, 27(6): 1799-1822
  4. 4.
    Wu Z C, Ni M, Hu Z W, Wang J J, Li Q Q and Wu G F. 2019. Mapping invasive plant with UAV-derived 3D mesh model in mountain area—A case study in Shenzhen Coast, China. International Journal of Applied Earth Observation and Geoinformation, 77: 129-139
  5. 5.
    Zhang L, Li G Q, Zhu L W and Guo H D. 2019. Construction and service demonstration of Hainan remote sensing big data platform. Journal of Remote Sensing (in Chinese), 23(2): 327-335
  6. 6.
    Zhuo D, Zhao X Y, Xu Z H, Li P, Jin F Z and Wang J F. 2023. Path optimization of land and sea coordination in China’s coastal areas under the territorial spatial planning. Economic Geography, 43(10): 180-189

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