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Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine.
Wang, Xinxin; Xiao, Xiangming; Zou, Zhenhua; Hou, Luyao; Qin, Yuanwei; Dong, Jinwei; Doughty, Russell B; Chen, Bangqian; Zhang, Xi; Chen, Ying; Ma, Jun; Zhao, Bin; Li, Bo.
Afiliação
  • Wang X; Coastal Ecosystems Research Station of the Yangtze River Estuary, Ministry of Education Key Laboratory of Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science and Institute of Eco-Chongming (IEC), Fudan University, Shanghai 200433, China.
  • Xiao X; Department of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, Norman, OK 73019, USA.
  • Zou Z; Department of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, Norman, OK 73019, USA.
  • Hou L; Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA.
  • Qin Y; College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China.
  • Dong J; Department of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, Norman, OK 73019, USA.
  • Doughty RB; Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
  • Chen B; Department of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, Norman, OK 73019, USA.
  • Zhang X; Rubber Research Institute (RRI), Chinese Academy of Tropical Agricultural Sciences (CATAS), Hainan Province 571737, China.
  • Chen Y; Coastal Ecosystems Research Station of the Yangtze River Estuary, Ministry of Education Key Laboratory of Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science and Institute of Eco-Chongming (IEC), Fudan University, Shanghai 200433, China.
  • Ma J; Forest College, Fujian Agriculture and Forestry University, Fuzhou, Fujian Province 350002, China.
  • Zhao B; Coastal Ecosystems Research Station of the Yangtze River Estuary, Ministry of Education Key Laboratory of Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science and Institute of Eco-Chongming (IEC), Fudan University, Shanghai 200433, China.
  • Li B; Coastal Ecosystems Research Station of the Yangtze River Estuary, Ministry of Education Key Laboratory of Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science and Institute of Eco-Chongming (IEC), Fudan University, Shanghai 200433, China.
ISPRS J Photogramm Remote Sens ; 163: 312-326, 2020 May.
Article em En | MEDLINE | ID: mdl-32405155
Coastal wetlands, composed of coastal vegetation and non-vegetated tidal flats, play critical roles in biodiversity conservation, food production, and the global economy. Coastal wetlands in China are changing quickly due to land reclamation from sea, aquaculture, industrialization, and urbanization. However, accurate and updated maps of coastal wetlands (including vegetation and tidal flats) in China are unavailable, and the detailed spatial distribution of coastal wetlands are unknown. Here, we developed a new pixel- and phenology-based algorithm to identify and map coastal wetlands in China for 2018 using time series Landsat imagery (2,798 ETM+/OLI images) and the Google Earth Engine (GEE). The resultant map had a very high overall accuracy (98%). There were 7,474.6 km2 of coastal wetlands in China in 2018, which included 5,379.8 km2 of tidal flats, 1,856.4 km2 of deciduous wetlands, and 238.3 km2 of evergreen wetlands. Jiangsu Province had the largest area of coastal wetlands in China, followed by Shandong, Fujian, and Zhejiang Provinces. Our study demonstrates the high potential of time series Landsat images, pixel- and phenology-based algorithm, and GEE for mapping coastal wetlands at large scales. The resultant coastal wetland maps at 30-m spatial resolution serve as the most current dataset for sustainable management, ecological assessments, and conservation of coastal wetlands in China.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: ISPRS J Photogramm Remote Sens Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: ISPRS J Photogramm Remote Sens Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China