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基于HY-1C的红海滩翅碱蓬提取与近5年变化趋势研究

梁超 刘利 刘建强 邹亚荣 冯倩 郭茂华 曾韬

梁超,刘利,刘建强,等. 基于HY-1C的红海滩翅碱蓬提取与近5年变化趋势研究[J]. 海洋学报,2023,45(11):164–174 doi: 10.12284/hyxb2023144
引用本文: 梁超,刘利,刘建强,等. 基于HY-1C的红海滩翅碱蓬提取与近5年变化趋势研究[J]. 海洋学报,2023,45(11):164–174 doi: 10.12284/hyxb2023144
Liang Chao,Liu Li,Liu Jianqiang, et al. A study on the extraction of Red Beach Suaeda salsa and its change trends in recent 5 years based on HY-1C data[J]. Haiyang Xuebao,2023, 45(11):164–174 doi: 10.12284/hyxb2023144
Citation: Liang Chao,Liu Li,Liu Jianqiang, et al. A study on the extraction of Red Beach Suaeda salsa and its change trends in recent 5 years based on HY-1C data[J]. Haiyang Xuebao,2023, 45(11):164–174 doi: 10.12284/hyxb2023144

基于HY-1C的红海滩翅碱蓬提取与近5年变化趋势研究

doi: 10.12284/hyxb2023144
基金项目: 海南省重点研发计划高新技术专项—耦合多源信息的海南红树林遥感监测与碳储量估算研究(ZDYF2023SHFZ097)。
详细信息
    作者简介:

    梁超(1985—),男,陕西省咸阳市人,高级工程师,主要研究方向为滨海湿地遥感监测与评估。E-mail:liangchao@mail.nsoas.org.cn

    通讯作者:

    刘利(1984—),女,江苏省淮安市人,工程师,主要从事遥感数据分析与应用研究。E-mail:liuli03rs@163.com

  • 中图分类号: TP75;P714+.5

A study on the extraction of Red Beach Suaeda salsa and its change trends in recent 5 years based on HY-1C data

  • 摘要: 为掌握红海滩翅碱蓬(Suaeda salsa)群落分布现状及修复情况,本文采用2018−2022年HY-1C卫星海岸带成像仪(CZI)数据,基于现场实测光谱特征分析,构建翅碱蓬遥感提取模型,获得了5期翅碱蓬群落空间分布数据,提取精度优于87%;基于提取结果,开展了红海滩翅碱蓬群落时空分布及类型水平上景观格局的变化分析,结果显示:近5年来,翅碱蓬群落分布面积总体呈显著增加趋势,斑块类型面积(CA)、斑块所占景观面积比例(PLAND)、最大斑块指数(LPI)、有效网格大小(MESH)、平均斑块面积(AREA_MN)等指标呈先减小后上升趋势,破碎化指数(SPLIT)先增大后减小、聚集指数(AI)总体呈上升趋势,可见翅碱蓬群落在红海滩景观构成中占比逐年增大,景观形状复杂度提升,破碎化势头得到逆转,聚集性分布趋势较为明显,这说明自2019年开始实施的翅碱蓬规模化修复工程成效显著;另一方面,翅碱蓬群落生境在总体持续向好的同时又表现出恢复水平空间不均衡的特点,大致为中、东部好于西部,南部好于北部。本文结果可为修复工程的效果评估工作提供基础数据,并为今后修复施工的空间布局规划提供决策参考。
  • 图  1  研究区位置示意图

    Fig.  1  Schematic map of the location of the study area

    图  2  HY-1C卫星红海滩遥感影像

    Fig.  2  HY-1C satellite remote sensing images of Red Beach

    图  3  红海滩典型地物实测光谱曲线(a)与CZI波段等效光谱曲线(b)

    Fig.  3  Measured spectral curve of typical features on Red Beach (a) and equivalent spectral curve in CZI band (b)

    图  4  HY-1C影像上典型样本点及其光谱曲线

    Fig.  4  Typical sample points on HY-1C images and their spectral curves

    图  5  CZI影像上翅碱蓬与滩涂像元的反射率及辐亮度

    Fig.  5  Reflectance and radiance of Suaeda salsa and tidal flat pixels on the CZI image

    图  6  翅碱蓬遥感提取指数原理

    Fig.  6  Schematic of remote sensing extraction index of Suaeda salsa

    图  7  红海滩翅碱蓬分布遥感提取结果

    Fig.  7  Remote sensing extraction results of Red Beach Suaeda salsa distribution

    图  8  精度验证点分布

    Fig.  8  Accuracy verification point distribution

    图  9  2008−2022年翅碱蓬分布面积变化情况

    Fig.  9  Changes in the distribution area of Suaeda salsa from 2008 to 2022

    图  10  红海滩翅碱蓬空间变化分布

    Fig.  10  Spatial variation distribution of Red BeachSuaeda salsa

    图  11  红海滩翅碱蓬景观格局指数变化曲线

    Fig.  11  Landscape index change curves of Red Beach Suaeda salsa

    图  12  红海滩不同区域翅碱蓬景观格局指数变化曲线

    Fig.  12  Landscape index change curves of Suaeda salsa in different regions of Red Beach

    表  1  数据成像时间与潮位信息

    Tab.  1  Data imaging time and tide level information

    序号 日期 成像时间 卫星轨道号 潮位
    1 2018年10月2日 10:46 359 中高潮位
    2 2019年9月18日 10:50 5390 中高潮位
    3 2020年9月30日 10:46 10808 中低潮位
    4 2021年10月7日 10:34 16144 中低潮位
    5 2022年9月19日 10:40 21118 中高潮位
      注:表中潮位信息来自海事服务网(https://www.cnss.com.cn/html/tide.html)。
    下载: 导出CSV

    表  2  本文采用的景观格局指数列表

    Tab.  2  List of landscape indices used in this article

    景观指数(英文缩写) 单位 生态意义
    斑块类型面积(CA) hm2 某一类型斑块的总面积
    斑块所占景观面积比例(PLAND)
    % 某一类型斑块总面积占整个景观面积的百分比,取值范围(0,100),值越小,表示景观中该类型越稀少
    最大斑块指数(LPI)
    % 某一类型中最大斑块占整个景观面积的百分比,直接体现了景观的优势类型,取值范围(0,100),值的变化反映了人类活动的方向和强弱
    有效网格大小(MESH)
    % 景观中斑块面积的平方和与景观总面积的比值,用于比较景观中斑块的平均面积,在景观总面积不变时,MESH变大,反映该类型面积增加,表明其在景观中的比重加大
    斑块密度(PD) 个/(100 hm2) 表示每100 hm2土地范围内某一类型斑块数量
    平均斑块面积(AREA_MN) hm2 某一类型斑块的平均大小,反映景观破碎程度
    周长面积分维数(PAFRAC)
    指景观不规则几何形状的非整数维数,反映景观形状复杂程度,能在一定程度上反映人类活动对景观格局的干扰程度,取值范围(1,2),指数越大景观越复杂,受人类活动干扰程度越高
    破碎化指数(SPLIT)
    表示景观空间被分割后的破碎化程度,一定程度上反映人类对景观的干扰程度,景观破碎化是生物多样性丧失的重要原因之一
    聚集指数(AI) % 反映某一类型斑块间的连通性,取值范围(0,100),值越大,表示景观中同类斑块相互聚合,结构紧凑
    下载: 导出CSV

    表  3  已有文献中翅碱蓬提取方法及其结果精度

    Tab.  3  Extraction methods and their accuracy in existing literatures

    文献方法结果精度
    参考文献[25]人机交互解译87%
    参考文献[16]决策树85%
    参考文献[17]决策树92%
    参考文献[21]人工神经网络分类优于80%
    本文结果翅碱蓬遥感提取指数87%~94%
    下载: 导出CSV

    表  4  红海滩翅碱蓬群落类型水平上的景观格局指数

    Tab.  4  Landscape indices at the level of community type of Red Beach Suaeda salsa

    年份 CA/hm2 PLAND/% LPI/% MESH/% PD/(个·(100 hm2)−1) AREA_MN/hm2 PAFRAC SPLIT AI/%
    2018 663.75 3.63 0.83 1.77 0.80 4.55 1.31 10 322.06 76.37
    2019 481.13 1.19 0.41 0.89 0.14 8.75 1.23 45 552.91 84.67
    2020 986.25 2.07 0.44 2.50 0.21 9.67 1.28 19 053.88 85.52
    2021 2029.46 3.91 0.73 5.46 0.44 8.82 1.34 9 522.24 82.26
    2022 2752.41 8.57 1.61 21.23 0.48 17.76 1.32 1 513.02 86.75
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-04-14
  • 修回日期:  2023-07-05
  • 网络出版日期:  2023-10-23
  • 刊出日期:  2023-11-30

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