Mapping Coastal Wetlands of the Bohai Rim at a Spatial Resolution of 10 m Using Multiple Open-Access Satellite Data and Terrain Indices
Mapping Coastal Wetlands of the Bohai Rim at a Spatial Resolution of 10 m Using Multiple Open-Access Satellite Data and Terrain Indices
复制标题
利用多个开放卫星数据和地形指数绘制 10 m 空间分辨率的环渤海沿岸湿地地图
DOI：
10.3390/rs12244114
复制
发表时间：
2020-12
期刊：
影响因子：
5
通讯作者：
Wang Yidong
中科院分区：
文献类型：
--
作者：
Sun Shaobo;Zhang Yonggen;Song Zhaoliang;Chen Baozhang;Zhang Yangjian;Yuan Wenping;Chen Chu;Chen Wei;Ran Xiangbin;Wang Yidong
滨海湿地提供必要的生态系统服务，与人类福祉密切相关。然而，它们可能会经历严重的退化，特别是在人类活动频繁的地区。为了控制这些日益严重的问题并制定相应的滨海湿地管理政策，准确绘制滨海湿地地图至关重要。虽然遥感是区域尺度滨海湿地监测最有效的方法，但在大尺度滨海湿地测绘时，传统上其工作量大、成本高、空间分辨率低。在这项研究中，我们基于最近出现的 Google Earth Engine 平台，开发了一种以 10 m 空间分辨率快速绘制沿海湿地地图的工作流程，使用机器学习算法、开放访问合成孔径雷达 (SAR) 和来自 Sentinel 卫星的光学图像以及两个地形指数。然后我们根据工作流程生成了环渤海滨海湿地地图（BRCW10）。根据使用 150 个湿地样本的验证，其生产者准确度为 82.7%。由于融合了多个数据源，与两组全球高分辨率土地覆盖数据得出的湿地地图相比，BRCW10数据反映了更精细的信息。该研究强调了在绘制沿海湿地地图时同时合并 SAR 和光学遥感图像的好处。
Coastal wetlands provide essential ecosystem services and are closely related to human welfare. However, they can experience substantial degradation, especially in regions in which there is intense human activity. To control these increasingly severe problems and to develop corresponding management policies in coastal wetlands, it is critical to accurately map coastal wetlands. Although remote sensing is the most efficient way to monitor coastal wetlands at a regional scale, it traditionally involves a large amount of work, high cost, and low spatial resolution when mapping coastal wetlands at a large scale. In this study, we developed a workflow for rapidly mapping coastal wetlands at a 10 m spatial resolution, based on the recently emergent Google Earth Engine platform, using a machine learning algorithm, open-access Synthetic Aperture Radar (SAR) and optical images from the Sentinel satellites, and two terrain indices. We then generated a coastal wetland map of the Bohai Rim (BRCW10) based on the workflow. It has a producer accuracy of 82.7%, according to validation using 150 wetland samples. The BRCW10 data reflected finer information when compared to wetland maps derived from two sets of global high-spatial-resolution land cover data, due to the fusion of multiple data sources. The study highlights the benefits of simultaneously merging SAR and optical remote sensing images when mapping coastal wetlands.
登录
查看更多内容
影响因子：
2.6
作者：
J. Corcoran;J. Knight;B. Brisco;S. Kaya;Andrew Cull;K. Murnaghan
通讯作者：
J. Corcoran;J. Knight;B. Brisco;S. Kaya;Andrew Cull;K. Murnaghan
影响因子：
5.1
作者：
Conrad, O.;Bechtel, B.;Boehner, J.
通讯作者：
Boehner, J.
DOI：
10.5194/gmdd-8-2271-2015
发表时间：
2015-07
期刊：
Geoscientific Model Development Discussions
影响因子：
--
作者：
O. Conrad;B. Bechtel;M. Bock;Helge Dietrich;E. Fischer;Lars Gerlitz;J. Wehberg;V. Wichmann;J. Böhner
通讯作者：
O. Conrad;B. Bechtel;M. Bock;Helge Dietrich;E. Fischer;Lars Gerlitz;J. Wehberg;V. Wichmann;J. Böhner
DOI：
10.1016/j.isprsjprs.2011.11.002
发表时间：
2012-01-01
影响因子：
12.7
作者：
Rodriguez-Galiano, V. F.;Ghimire, B.;Rigol-Sanchez, J. P.
通讯作者：
Rigol-Sanchez, J. P.
影响因子：
18.9
作者：
Gong, Peng;Liu, Han;Song, Lianchun
通讯作者：
Song, Lianchun