| 基于Sentinel-1A雷达影像的崇明东滩芦苇盐沼植被识别提取 |
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| 引用本文： | 胥为,周云轩,沈芳,田波,于鹏.基于Sentinel-1A雷达影像的崇明东滩芦苇盐沼植被识别提取[J].吉林大学学报(地球科学版),2018,48(4):1192-1200. |
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| 作者姓名： | 胥为 周云轩 沈芳 田波 于鹏 |
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| 作者单位： | 华东师范大学河口海岸学重点实验室, 上海 200062 |
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| 基金项目： | 国家自然科学基金项目（41476151）；国家重点研发计划项目（2016YFC0502704） |
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| 摘 要： | 为研究芦苇盐沼植物在一个生长周期不同生长季节的雷达后向散射系数变化特征，对芦苇分布信息进行提取，探究Sentinel-1A卫星数据在长江口湿地植被监测中的应用前景。以对长江河口崇明东滩南部为研究区域，利用2016年11个时相的Sentinel-1A雷达卫星影像VV（vertical transmit/vertical receive）+VH（vertical transmit/horizontal receive）双极化数据，分析潮滩地带芦苇、白茅、海三棱藨草、水体和光滩在植被生长周期内的雷达后向散射强度变化特征，对芦苇盐沼植被进行识别提取。结果表明：相较于VH极化方式，VV极化方式下不同地物的后向散射强度差异更为明显，芦苇的后向散射强度在枯叶期下显著高于其他地物；进行芦苇植被提取时，需要对植被枯萎期不同潮位状况下的雷达影像进行组合运算，芦苇提取精度可达到88.7%；对芦苇植被雷达后向散射强度和临近时相的光学遥感归一化植被指数（normalized difference vegetation index，INDV）进行相关性分析，发现两者呈良好的正相关关系，相关系数为0.78。
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| 关 键 词： | Sentinel-1A卫星 合成孔径雷达 盐沼植被 芦苇 海岸带 |
| 收稿时间： | 2017-12-07 |
Recognition and Extraction of Phragmites Australis Salt Marsh Vegetation in Chongming Tidal Flat from Sentinel-1A SAR Data |
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| Xu Wei,Zhou Yunxuan,Shen Fang,Tian Bo,Yu Peng.Recognition and Extraction of Phragmites Australis Salt Marsh Vegetation in Chongming Tidal Flat from Sentinel-1A SAR Data[J].Journal of Jilin Unviersity:Earth Science Edition,2018,48(4):1192-1200. |
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| Authors: | Xu Wei Zhou Yunxuan Shen Fang Tian Bo Yu Peng |
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| Institution: | State Key Laboratory of Estuary and Coastal Research, East China Normal University, Shanghai 200062, China |
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| Abstract: | In this study we analyzed the temporal variation of the back-scattering intensity of the phragmites australis to extract its spatial distribution and explore the prospect of applying the Sentinel-1A SAR data for salt marsh monitoring in the Yangtze River estuary. Using the 11 Sentinel-1A VV+VH dual-pol SAR images from 2016, the temporal variation of the main land features in the southern part of the Chongming tidal flat was characterized. The findings showed that the variation of back-scattering intensity in the VV band was more remarkable than the VH band, and the dB value of the phragmites australis was much stronger than the other features during the leaf-off period. Based on the analysis, the phragmites australis was distinguished from other land types in the study area in a relatively high accuracy of 88.7%. During the study, we took into consideration of the images acquired during the leaf-off period to extract the phragmites australis, and utilized the images under different tidal levels to obtain the better result. Based on the correlation analysis, a favorable positive correlation existed between the back-scattering intensity and the temporal-adjacent optical normalized difference vegetation index (INDV) with a correlation coefficient of 0.78. |
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| Keywords: | Sentinel-1A SAR(synthetic aperture radar) salt marsh vegetation phragmites australis coastal area |
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