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Data Details

Tidal Flats Dataset Covers Coastal Region in North of 18°N Latitude of China (1989-2020)


HU Zhongwen1XU Yue1YIN Yumeng1ZHANG Kangyong1WU Guofeng1WANG Chen*2CUI Lijuan*3
1 MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area，Shenzhen University，Shenzhen 518060，China2 Center for Satellite Application on Ecology and Environment，Ministry of Ecology and Environment，Beijing 100094，China3 Institute of Wetland Research，Chinese Academy of Forestry，Beijing Key Laboratory of Wetland Ecological Function and Restoration，Beijing 100091，China

DOI:10.3974/geodb.2021.10.06.V1

Published:Oct. 2021

Visitors：10183       Data Files Downloaded：398      
Data Downloaded：80050.23 MB      Citations：

Key Words：

coastal zone,tidal flats,China,1989-2020

Abstract：

Costal tidal flats are critical regions for climate change, sea level rises and human activities. Based on time-series remote sensing images and field survey data, the authors developed a supervised classification method for mapping tidal flats on the Google Earth Engine (GEE) to obtain the Tidal Flats Dataset Covers Coastal Region in North of 18°N Latitude of China (1989-2020). The dataset is yearly based during the more than 30 years and has a spatial resolution of 30 m. The dataset is consisted of 256 data files in .shp data format with the data size of 318 MB (Compressed to one single file with 201 MB).Browse

Foundation Item：

Ministry of Science and Technology of P. R. China (2017YFC0506200)；National Natural Science Foundation of China (51761135022, ALWSD.2016.026, EP/R024537/1)

Data Citation：

HU Zhongwen, XU Yue, YIN Yumeng, ZHANG Kangyong, WU Guofeng, WANG Chen*, CUI Lijuan*. Tidal Flats Dataset Covers Coastal Region in North of 18°N Latitude of China (1989-2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2021. https://doi.org/10.3974/geodb.2021.10.06.V1.

HU Zhongwen ,XU Yue, YIN Yumeng. et al. Tidal flats dataset covers coastal region in north of 18°N latitude of China (1989–2020) [J]. Journal of Global Change Data & Discovery, 2022, 6(1): 125–132.

References：

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     [17] Malik, M., Shukla, J. P., MishraI, S. Relationship of LST, NDBI and NDVI using Landsat-8 data in Kandaihimmat Watershed, Hoshangabad, India [J]. Indian Journal of Geo-Marine Sciences, 2019, 48(1): 25-31.
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Data Product:

ID Data Name Data Size Operation
0Datapaper_DCTF_China_1989-2020.pdf7078.00kbDownLoad
1 DCTF_China_1989-2020.rar 205958.39KB
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