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引用本文:周雅君,何明郡,刘聪,贺双颜,姜庆岩,韩玉,陈栋,李培良.基于Sentinel-2卫星影像的海南西岛珊瑚礁识别和变化分析.海洋与湖沼,2024,55(1):65-76.
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基于Sentinel-2卫星影像的海南西岛珊瑚礁识别和变化分析
周雅君1,2, 何明郡1,2, 刘聪2, 贺双颜1,2,3, 姜庆岩1,2, 韩玉4, 陈栋1,2, 李培良1,2
1.浙江大学海洋学院 浙江舟山 316021;2.浙江大学海南研究院 海南三亚 572024;3.浙江省海洋观测-成像试验区重点实验室 浙江舟山 316021;4.海南热带海洋学院崖州湾创新研究院 海南三亚 572024
摘要:
珊瑚礁是海洋中最重要的生态系统之一, 近年来在全球气候变化和人为干扰加剧的影响下, 我国南海珊瑚礁总体处于快速退化状态。以海南西岛珊瑚礁为例, 基于Sentinel-2系列卫星10 m空间分辨率影像, 利用面向对象分类法(object-based image analysis, OBIA)对2017年12月~2018年3月和2021年12月两个时期的海南西岛珊瑚礁底质进行了识别分类, 并进行珊瑚礁面积变化分析。将2021年12月的分类结果与现场调查数据进行对比验证, 总分类精度和Kappa系数分别为83.3%和0.71。对比两个时期珊瑚礁底质分类结果表明, 西岛西侧珊瑚礁覆盖面积未出现明显变化, 东侧珊瑚礁显示恢复趋势。本文研究表明, 10 m地面分辨率卫星系列影像和面向对象的阈值分类方法可以对海南西岛珊瑚礁进行较为准确的识别和变化分析, 监测结果可为海南岛沿岸西岛等小型岛礁珊瑚保护及修复提供参考。
关键词:  珊瑚礁  Sentinel-2影像  西岛  底质识别  遥感监测
DOI:10.11693/hyhz20230600123
分类号:
基金项目:三亚崖州湾科技城管理局2022年度科技计划项目,SKJC-2022-01-001号;海南省科技计划三亚崖州湾科技城联合项目,2021JJLH0053号;浙江大学海南研究院启动项目,HZY20210802,HZY20210801号;海南热带海洋学院崖州湾创新研究院开放课题,2022CXYKFKT11号;海南省自然科学基金青年项目,420QN289号。
附件
IDENTIFICATION OF CORAL REEFS AND THEIR VARIATION AROUND XIDAO ISLAND, HAINAN, DECIPHERED FROM SENTINEL-2 SATELLITE IMAGES
ZHOU Ya-Jun1,2, HE Ming-Jun1,2, LIU Cong2, HE Shuang-Yan1,2,3, JIANG Qing-Yan1,2, HAN Yu4, CHEN Dong1,2, LI Pei-Liang1,2
1.Ocean College, Zhejiang University, Zhoushan 316021, China;2.Hainan Institute, Zhejiang University, Sanya 572024, China;3.Zhejiang Key Laboratory of Ocean Observation-Imaging Testbed, Zhoushan 316021, China;4.Yazhou Bay Innovation Institute, Hainan Tropical Ocean University, Sanya 572024, China
Abstract:
Coral reefs are one of the most significant ecosystems in the ocean, and they play an essential role in preserving marine biodiversity, regulating marine climate, and developing tourism economy. In recent years, due to global climate change and increased human disturbance, coral reefs in the South China Sea deteriorate rapidly. Taking coral reefs of Xidao Island, Hainan Province, South China as an example, we extracted coral reef substrates in object-based image analysis (OBIA) method from Sentinel-2 time-serial satellite images in 10-m spatial resolution, and analyzed the change of the reef area of Xidao Island in two periods: December 2017 ~ March 2018 and December 2021. The classification results in the end of 2021 were verified with field survey data, and the total classification accuracy and Kappa coefficient were 83.3% and 0.71, respectively. By comparing the classification results from two separate periods, we discovered that the coral coverage on the west side of Xidao Island showed no obvious variation, while it presented a recovery trend on the east. This study implied that an integrated application of 10-m spatial resolution satellite images and OBIA classification method, to some extents, can meet the requirement of information extraction related to coral monitoring and variation detection on a regional scale, and the monitoring results can provide a reference for coral conservation and restoration on Xidao Island and other small islands and reefs around Hainan Island.
Key words:  coral reef  Sentinel-2 image  Xidao Island  substrate identification  remote sensing monitoring
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