A mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform

文献类型： 外文期刊

第一作者： Chen, Bangqian

作者： Chen, Bangqian;Wu, Zhixiang;Sun, Rui;Lan, Guoyu;Xie, Guishui;Chen, Bangqian;Wu, Zhixiang;Sun, Rui;Lan, Guoyu;Xie, Guishui;Chen, Bangqian;Xiao, Xiangming;Li, Xiangping;Pan, Lianghao;Ma, Jun;Zhao, Bin;Xiao, Xiangming;Doughty, Russell;Dong, Jinwei;Qin, Yuanwei;Xiao, Xiangming;Doughty, Russell;Dong, Jinwei;Qin, Yuanwei;Pan, Lianghao;Clinton, Nicholas;Giri, Chandra

作者机构：

关键词： ETM plus /OLI;SAR;NDVI;Greenness;Canopy coverage;Tidal inundation

期刊名称：ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING （ 影响因子：8.979； 五年影响因子：9.948 ）

ISSN：

年卷期：

页码：

收录情况： SCI

摘要： Due to rapid losses of mangrove forests caused by anthropogenic disturbances and climate change, accurate and contemporary maps of mangrove forests are needed to understand how mangrove ecosystems are changing and establish plans for sustainable management. In this study, a new classification algorithm was developed using the biophysical characteristics of mangrove forests in China. More specifically, these forests were mapped by identifying: (1) greenness, canopy coverage, and tidal inundation from time series Landsat data, and (2) elevation, slope, and intersection-with-sea criterion. The annual mean Normalized Difference Vegetation Index (NDVI) was found to be a key variable in determining the classification thresholds of greenness, canopy coverage, and tidal inundation of mangrove forests, which are greatly affected by tide dynamics. In addition, the integration of Sentinel-1A VH band and modified Normalized Difference Water Index (mNDWI) shows great potential in identifying yearlong tidal and fresh water bodies, which is related to mangrove forests. This algorithm was developed using 6 typical Regions of Interest (ROIs) as algorithm training and was run on the Google Earth Engine (GEE) cloud computing platform to process 1941 Landsat images (25 Path/Row) and 586 Sentinel-1A images circa 2015. The resultant mangrove forest map of China at 30 m spatial resolution has an overall/users/producer's accuracy greater than 95% when validated with ground reference data. In 2015, China's mangrove forests had a total area of 20,303 ha, about 92% of which was in the Guangxi Zhuang Autonomous Region, Guangdong, and Hainan Provinces. This study has demonstrated the potential of using the GEE platform, time series Landsat and Sentine-1A SAR images to identify and map mangrove forests along the coastal zones. The resultant mangrove forest maps are likely to be useful for the sustainable management and ecological assessments of mangrove forests in China. (C) 2017 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.

分类号： P2

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