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Tracking changes in coastal land cover in the Yellow Sea, East Asia, using Sentinel-1 and Sentinel-2 time-series images and Google Earth Engine

https://doi.org/10.1016/j.isprsjprs.2022.12.029

Liu, Yongchao ; Xiao, Xiangming ; Li, Jialin ; Wang, Xinxin ; Chen, Bangqian ; Sun, Chao ; Wang, Jie ; Tian, Peng ; Zhang, Haitao ( February 2023 , ISPRS Journal of Photogrammetry and Remote Sensing)

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Rebound in China’s coastal wetlands following conservation and restoration

https://doi.org/10.1038/s41893-021-00793-5

Wang, Xinxin ; Xiao, Xiangming ; Xu, Xiao ; Zou, Zhenhua ; Chen, Bangqian ; Qin, Yuanwei ; Zhang, Xi ; Dong, Jinwei ; Liu, Diyou ; Pan, Lianghao ; et al ( October 2021 , Nature Sustainability)
null (Ed.)
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Quantifying expansion and removal of Spartina alterniflora on Chongming island, China, using time series Landsat images during 1995–2018

https://doi.org/10.1016/j.rse.2020.111916

Zhang, Xi ; Xiao, Xiangming ; Wang, Xinxin ; Xu, Xiao ; Chen, Bangqian ; Wang, Jie ; Ma, Jun ; Zhao, Bin ; Li, Bo ( September 2020 , Remote Sensing of Environment)
null (Ed.)
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Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine

https://doi.org/10.1016/j.isprsjprs.2020.03.014

Wang, Xinxin ; Xiao, Xiangming ; Zou, Zhenhua ; Hou, Luyao ; Qin, Yuanwei ; Dong, Jinwei ; Doughty, Russell B. ; Chen, Bangqian ; Zhang, Xi ; Chen, Ying ; et al ( May 2020 , ISPRS Journal of Photogrammetry and Remote Sensing)
null (Ed.)
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Gainers and losers of surface and terrestrial water resources in China during 1989–2016

https://doi.org/10.1038/s41467-020-17103-w

Wang, Xinxin ; Xiao, Xiangming ; Zou, Zhenhua ; Dong, Jinwei ; Qin, Yuanwei ; Doughty, Russell B. ; Menarguez, Michael A. ; Chen, Bangqian ; Wang, Junbang ; Ye, Hui ; et al ( July 2020 , Nature Communications)

Abstract
Data and knowledge of the spatial-temporal dynamics of surface water area (SWA) and terrestrial water storage (TWS) in China are critical for sustainable management of water resources but remain very limited. Here we report annual maps of surface water bodies in China during 1989–2016 at 30m spatial resolution. We find that SWA decreases in water-poor northern China but increases in water-rich southern China during 1989–2016. Our results also reveal the spatial-temporal divergence and consistency between TWS and SWA during 2002–2016. In North China, extensive and continued losses of TWS, together with small to moderate changes of SWA, indicate long-term water stress in the region. Approximately 569 million people live in those areas with deceasing SWA or TWS trends in 2015. Our data set and the findings from this study could be used to support the government and the public to address increasing challenges of water resources and security in China.

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