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Global Land Surface Water Dataset at 30m Resolution (2010)


CHEN Jun1LIAO Anping1CHEN Lijun1ZHANG Hongwei1HE Chaoying1PENG Shu1WU Hao1ZHANG Weiwei1LI Ran1ZHENG Xinyan1MEI Yang1LU Miao1LU Nan1LIU Jiyu1KANG Rui1XING Huaqiao1ZHU Wu1,2LIU Lifen1,2HAN Gang1,2WANG Jing2YANG Ailing3SUN Limei3SONG Hao3CHEN Weiping4ZHOU Xiaomin4XIA Lu4JIANG Hongbing5HUO Jian5ZHANG Yan5LIU Wudi5LI Yuxian5ZHAI Liang6SANG Huiyong6
1 National Geomatics Center of China2 Geo-Compass Geoinformation Technology Company3 Heilongjiang Geomatics Center of NASG4 The First Institute of Photogrammetry and Remote Sensing NASG5 Sichuan Surveying and Mapping Institute of Remote Sensing Information6 Chinese Academy of Surveying and Mapping

DOI:10.3974/geodb.2014.02.01.V1

Published:December 2014

Visitors:16486       Data Files Downloaded:9675      
Data Downloaded:1143866.84 MB      Citations:

Key Words:

Land Surface water,30m resolution,global land cover,remote sensing mapping,data tiles,GEOARC

Abstract:

Land surface water is the most important component of the Earth’s surface. The Global Land Surface Water Dataset at 30m Resolution in 2010 (GlobeLand30-WTR2010 for short) was developed based on data mining methodology by integrating and analyzing the 9907 scenes of the USA Landsat TM5, ETM data and 2640 scenes of the China environment disaster mitigation satellite (HJ-1) data in 2010. The total area of the land surface water is 3,675,400 km2, which is 2.73% of the global land surface area. More than 40% of land surface water is located in North America. The global data were organized into 853 tiles, according to the 5° (latitude) x 6° (longitude) within the region from 60°S to 60°N, and 5° (latitude) x 12° (longitude) within the region from 60°N to 80°N (the Antarctic continent is not included). The data tiles are combined into 5 compressed data groups (Asia, Europe, North America, South America, and Africa, and Oceanic Countries), Four different data files are comprised in each of these data groups. They are: (1) land surface water data (raster data with GeoTIFF format); (2) coordinate information data (TIFF WORD format); (3) areas of selected remote sensing data (.shp format); and (4) a metadata file (XML format). In addition, the 853 data file list, including the file names, corresponding geographic coordinates and zoning codes, are listed at the file. The dataset is one of the layers of the Global Land Cover Dataset at 30m Resolution in 2010 (GlobeLand30_2010), which were donated to the United Nations by China in September 2014.Browse

Foundation Item:

Ministry of Science and Technology of P. R. China (2013AA122802,2009AA12001,2009AA122003); National Natural Science Foundation of China (41231172)

Data Citation:

CHEN Jun, LIAO Anping, CHEN Lijun, ZHANG Hongwei, HE Chaoying, PENG Shu, WU Hao, ZHANG Weiwei, LI Ran, ZHENG Xinyan, MEI Yang, LU Miao, LU Nan, LIU Jiyu, KANG Rui, XING Huaqiao, ZHU Wu, LIU Lifen, HAN Gang, WANG Jing, YANG Ailing, SUN Limei, SONG Hao, CHEN Weiping, ZHOU Xiaomin, XIA Lu, JIANG Hongbing, HUO Jian, ZHANG Yan, LIU Wudi, LI Yuxian, ZHAI Liang, SANG Huiyong.Global Land Surface Water Dataset at 30m Resolution (2010)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2014. https://doi.org/10.3974/geodb.2014.02.01.V1.

Chen, J., Liao, A. P., Chen, L. J., et al. Content and composition of the global land surface water dataset at 30 m resolution (2010) [J]. Journal of Global Change Data & Discovery, 2017, 1(1): 27-39. DOI: 10.3974/geodp.2017.01.05.

Data Product:

ID Data Name Data Size Operation
0Datapaper_GlobeLand30-WTR2010.pdf23030.00kbDownLoad
1 GlobeLand30_WTR2010.xlsx 63.48KB
2 GlobeLand30_WTR2010_1.rar 100673.83KB
3 GlobeLand30_WTR2010_2.rar 183292.97KB
4 GlobeLand30_WTR2010_3.rar 223667.97KB
5 GlobeLand30_WTR2010_4.rar 158322.27KB
6 GlobeLand30_WTR2010_5.rar 76883.79KB
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum