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全文摘要次数: 343 全文下载次数: 129
引用本文:

DOI:

10.11834/jrs.20232468

收稿日期:

2022-09-12

修改日期:

2023-08-29

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基于哨兵主被动遥感的茅尾海潮滩地表形变监测与分析
明小勇, 田义超, 张 强, 陶 进, 张亚丽, 林俊良
北部湾大学 资源与环境学院海洋地理信息资源开发利用重点实验室
摘要:

分析茅尾海潮滩地表形变时空演变及形变影响因素,为茅尾海生态环境保护及修复提供科学依据。基于结合PS特征点的SBAS-InSAR技术,利用研究区176景Sentinel-1A SAR影像数据提取了研究区2015—2022年的地表形变信息,同时结合该地区植被信息、降水、海平面上升和地质背景等数据,借助GIS空间分析技术与数理统计等方法对研究区地表形变的整体特征、时空演变趋势及其形变影响因素进行了定量化分析。结果表明:(1) 在空间维度上,研究时段内研究区地表形变速率介于-43.07~36.22mm/a之间,研究区内地表形变不均匀分布明显且总体上呈现轻微抬升趋势,其中,茅尾海东岸和北岸表现为沉降趋势,而康熙岭地区则呈现出抬升趋势 。(2)在时间纬度上,各沉降严重区域从整体上随着时间变化呈现不均匀的下沉趋势,四年最大沉降量达-184.9mm。 (3) 在形变影响因素上,生物作用、人类活动、水文过程、海平面上升和降水等引起的地貌变化是潮滩地表形变的主要因子。

Monitoring and Analysis of Surface Deformation of Maowei Sea Mangrove Forest Based on Sentinel Active and Passive Remote Sensing
Abstract:

Objectives: To Analyze the temporal and spatial evolution of tidal flat surface deformation in Maowei Sea and its influencing factors, and provide a scientific basis for the ecological environmental protection and restoration of Maowei Sea. Based on the SBAS-InSAR technology combined with PS feature points, this research uses the Sentinel-1A SAR image data of 176 scenes in the study area to extract the surface deformation information of the study area from 2015 to 2022, and combines the vegetation information, precSipitation, sea level rise and Geological background and other data, with the help of GIS spatial analysis technology and mathematical statistics, quantitative analysis was carried out on the overall characteristics, temporal and spatial evolution trends and deformation influencing factors of the surface deformation in the study area. Results: The results show that: (1) The results of tidal flat edge and vegetation edge are evaluated by qualitative and quantitative analysis respectively. The results show that the visual effect of the reference waterline and the extracted waterline is good, the coefficient of determination of the effective broken line is 0.96, the standard error of the linear regression coefficient is 2.14, and the quality of the extracted waterline is good. The object-oriented classification method has an overall accuracy of 92.76%, with a Kappa coefficient of 0.89, and the decision tree classification method has an overall accuracy of 93.84%, with a Kappa coefficient of 0.92, and the classification accuracy meets the research needs. (2) In the spatial dimension, the surface deformation rate in the study area ranged from -43.07 to 36.22 mm/a during the study period, and the uneven distribution of surface deformation in the study area was obvious and generally showed a slight upward trend. Among them, the Maowei Sea The east and north coasts showed a subsidence trend, while the Kangxiling area showed a linear uplift trend. (3) In terms of time latitude, the serious subsidence areas showed an uneven subsidence trend over time as a whole, and the maximum subsidence in four years reached -184.9mm. Conclusion: (1) In terms of deformation factors, landform changes caused by biological effects, human activities, hydrological processes, sea level rise and precipitation are the main factors of tidal flat surface deformation. Among them, the action of mangrove plants is the most important factor affecting the change of tidal flat height. The change of tidal flat surface height is greatly disturbed by human activities. The hydrological process causes the uneven distribution of tidal flat surface deformation. Precipitation changes affect its seasonal variation and subsidence intensity (2) In the long run, under the conditions of tidal beach sedimentation rate and crustal uplift rate, sea level rise will cause east-west differentiation in the mangrove area The surface deformation characteristics of the Maowei Sea are that the east coast of the Maowei Sea sinks and the west coast rises. (3) Precipitation and storm surges can have a huge erosion effect on tidal flats, but they will cause short-term sedimentation, which is manifested in that the surface deformation will first rise rapidly and then sink slowly during the precipitation process.

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