海洋学研究 ›› 2023, Vol. 41 ›› Issue (1): 68-81.DOI: 10.3969-j.issn.1001-909X.2023.01.006

• 研究论文 • 上一篇    下一篇

考虑潮位校正的乐清湾潮滩面积近30年变化遥感研究

田芳妍1(), 何贤强1,2,3,*(), 朱伯仲2,3, 龚芳2,3, 朱乾坤2,3   

  1. 1.浙江大学 海洋学院,浙江 舟山 316021
    2.卫星海洋环境动力学国家重点实验室,浙江 杭州 310012
    3.自然资源部第二海洋研究所,浙江 杭州 310012
  • 收稿日期:2022-06-16 修回日期:2022-09-07 出版日期:2023-03-15 发布日期:2023-04-28
  • 通讯作者: 何贤强(1978—),男,研究员,主要从事海洋、大气辐射传输及海洋水色卫星遥感研究,E-mail:hexianqiang@sio.org.cn
  • 作者简介:田芳妍(1998—),女,贵州省铜仁市人,主要从事海洋遥感相关研究,E-mail:22034118@zju.edu.cn
  • 基金资助:
    浙江省“尖兵”“领雁”研发攻关计划项目(2023C03011);国家自然科学基金(41825014)

Remote sensing study of tidal flat area change in Yueqing Bay in recent 30 years considering tidal level correction

TIAN Fangyan1(), HE Xianqiang1,2,3,*(), ZHU Bozhong2,3, GONG Fang2,3, ZHU Qiankun2,3   

  1. 1. Ocean College, Zhejiang University, Zhoushan 316021, China
    2. State Key Laboratory of Satellite Marine Environment Dynamics, Hangzhou 310012, China
    3. Second Institute of Oceanography, MNR, Hangzhou 310012, China
  • Received:2022-06-16 Revised:2022-09-07 Online:2023-03-15 Published:2023-04-28

摘要:

潮滩是滨海湿地的重要组成部分,监测其演变对于蓝碳增汇具有重要意义。卫星遥感是目前应用最广泛的潮滩监测手段之一,但受潮位影响,遥感提取的潮滩面积往往被低估。本文利用2016—2021年Sentinel-2卫星影像提取乐清湾潮滩瞬时面积,建立了潮滩面积与潮位的定量关系模型,从而实现潮滩面积的潮位校正。在此基础上,将建立的校正模型应用于Landsat卫星影像,获取了1988—2020年期间7个时期的乐清湾潮滩面积,并分析了乐清湾潮滩面积近30年的变化及主要驱动因素。结果表明,乐清湾潮滩面积在1988—1994年期间显著增加,在1994—2010年期间急剧减少,在2010—2015年期间少量增长,而在2015—2020年期间再次减少。人类活动对潮滩的开发利用是乐清湾潮滩面积变化的主要驱动因素。

关键词: 潮滩面积, 乐清湾, 卫星遥感, 潮位校正, 潮滩演变, 驱动因素

Abstract:

Tidal flat is an important part of coastal wetland, and is of great significance for blue carbon. Remote sensing is the most widely used method for tidal flat monitoring, but due to the influence of tides, the area of tidal flat extracted by remote sensing is often greatly underestimated. In this study, Sentinel-2 satellite images from 2016 to 2021 were used to extract the instantaneous area of tidal flats in Yueqing Bay, and the quantitative relationship between tidal flats area and tidal level or the tidal level correction model for tidal flats area was established. On this basis, Landsat satellite images in 7 years from 1988 to 2020 were selected to extract the instantaneous tidal flat area, and the established correction model was used to obtain the corrected multi-year tidal flat area at low tide level, and the change of tidal flat area in Yueqing Bay in recent 30 years and the main driving factors were analyzed. In recent 30 years, the tidal flat area of Yueqing Bay showed a trend of significant increase from 1988 to 1994, sharp decrease from 1994 to 2010, slight increase from 2010 to 2015, and decrease again from 2015 to 2020. The development and utilization of tidal flat by human activities is the main driving factor of tidal flat area change in Yueqing Bay.

Key words: tidal flat area, Yueqing Bay, satellite remote sensing, tidal level correction, tidal flat evolution, driving factor

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