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The Wetland Cover Datasets on the Large Wetlands of International Importance in 2001 and 2013 by Remote Sensing Data Integration

ZHANG Haiying1NIU Zhenguo1GONG Ning2XING Liwei3XU Panpan1CHEN Yanfen1HU Shengjie1
1State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences Beijing 100101,China2Department of Resources and Environment,Shandong Agricultural University,Tai’an 271018,China3Key Laboratory of Resources Environment and GIS,Capital Normal University,Beijing 100048,China


Published:Dec. 2015

Visitors:11830       Data Files Downloaded:1057      
Data Downloaded:31996.89 MB      Citations:

Key Words:

RAMSAR Site,Boundary,Wetland Cover,Remote Sensing,2001,2013,GEOARC


Wetland is one of the highest biodiversity and productivity in the ecosystems of the world. The Wetland Cover Datasets on the Large Wetlands of International Importance in 2001 and 2013 by Remote Sensing Integration (RamsarSites_Top100_WetlandCover_2001/2013) is consisted of wetland boundaries and wetland cover classification types. Based on data integrating among the RAMSAR Convention information with the remote sensing images from Google Earth and Tianditu platforms, the digital boundaries of the selected top 100 RAMSAR sites were developed. Based on the 16-day composite data product MOD13Q1 in 250m spatial resolution 2001 and 2013, by Support Vector Machine (SVM) classifier, the wetland cover classification system and wetland cover map in 2001 and 2013 were developed. Three levels of the wetland cover are included in the wetland cover classification system. In the first level, wetland and no-wetland had been identified. In the second level, six types had been classified, they are: Water body, Forested/shrub-dominated wetlands, Marshes, Flooded flats/Intertidal zone/Estuarine deltas, Paddy fields and Tundra wetlands. In the third level, Forested/shrub-dominated wetlands (evergreen) and Forested/shrub-dominated wetlands (deciduous) were identified in the Forested/shrub-dominated wetlands, while the Permanent marshes and Seasonal marshes were classified in the Marshes. The datasets are archived in .kmz and .shp data formats, the total size of the datasets is 103MB.Browse

Foundation Item:

Data Citation:

ZHANG Haiying,NIU Zhenguo,GONG Ning,XING Liwei,XU Panpan,CHEN Yanfen,HU Shengjie.The Wetland Cover Datasets on the Large Wetlands of International Importance in 2001 and 2013 by Remote Sensing Data Integration[DB/OL].Global Change Data Repository,2015.DOI:10.3974/geodb.2015.02.09.V1.

Zhang, H. Y., Niu, Z. G., Xu, P. P., et al. The boundaries and remote sensing classification datasets on large wetlands of international importance in 2001 and 2013 [J]. Journal of Global Change Data & Discovery, 2017, 1(2): 230-238. DOI: 10.3974/geodp.2017.02.15.

Data Product:

ID Data Name Data Size Operation
1 Top100_boundary.kmz 1470.14KB
2 Top100_boundary.rar 1278.52KB
3 Ramsar2001.rar 52245.46KB
4 Ramsar2013.rar 50858.42KB

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

The Geographical Society of China


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