
测绘学报 ›› 2026, Vol. 55 ›› Issue (4): 632-646.doi: 10.11947/j.AGCS.2026.20250412
• 海岸带与海洋测绘遥感 • 上一篇
高二涛1,2,3(
), 刘静1, 李淑瑾4, 周国清1,2(
), 付波霖1,2,3, 李淑娴1
收稿日期:2025-10-19
修回日期:2026-03-25
发布日期:2026-05-11
通讯作者:
周国清
E-mail:gaoertao@glut.edu.cn;gzhou@glut.edu.cn
作者简介:高二涛(1991—),男,博士,副教授,研究方向为海岸带湿地遥感。 E-mail:gaoertao@glut.edu.cn
基金资助:
Ertao GAO1,2,3(
), Jing LIU1, Shujin LI4, Guoqing ZHOU1,2(
), Bolin FU1,2,3, Shuxian LI1
Received:2025-10-19
Revised:2026-03-25
Published:2026-05-11
Contact:
Guoqing ZHOU
E-mail:gaoertao@glut.edu.cn;gzhou@glut.edu.cn
About author:GAO Ertao (1991—), male, PhD, associate professor, majors in coastal wetland remote sensing. E-mail: gaoertao@glut.edu.cn
Supported by:摘要:
潮滩地处海陆交互作用的过渡地带,在维持海岸生态系统健康、蓝碳固存等方面发挥着不可替代的作用。在全球海平面上升、人类活动加剧等背景下,潮滩的时空分布、地表形变等亟须得到有效的监测及分析。本文以我国北部湾茅尾海海岸带为研究区,综合利用2015—2023年的Sentine-l2影像、低潮位Sentine-l1影像,结合海平面变化、降水量、水文变化等多源数据,开展了以下研究:①基于Google Earth Engine(GEE)云平台,利用时序Sentine-l2影像,结合最大光谱指数合成算法(MSIC)和大津算法(OTSU),构建了一种潮滩识别方法,准确提取了研究区潮滩的分布。结果发现,茅尾海地区潮滩面积由2016年的19.98 km2减少到2023年的15.80 km2,减少幅度为20.9%,土地利用的类型由潮滩向红树林、建设用地等转换。②构建了一种利用部分永久稳定散射体(PS)参与小基线集干涉测量技术(SBAS-InSAR)的“PS+SBAS-InSAR”形变提取方法,监测了潮滩的形变信息。结果发现,2015—2023年间,潮滩地表形变速率介于-54.72~41.71 mm/a之间。最大沉降地区位于红树湾,累计达-308.21 mm,最大抬升地区位于康熙岭,累计达到311.90 mm。茅尾海潮滩呈现不均匀形变变化,整体以微弱的抬升为主。其中,尖山河道两岸和红树湾呈现沉降,而康熙岭和尖山西北部呈现抬升,龙门七十二径东西两岸呈现不规则抬升和沉降。③综合多源数据分析发现,降水量、水文运动、海平面上升、红树林变化是潮滩地表形变的主导因子,且海平面上升与潮滩地表形变呈负相关。其中降水量、极端天气的影响具有季节性,而红树林、海平面上升和近海养殖的影响是长期的。
中图分类号:
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