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Vegetation Cover Dataset in Mid-Eastern China (2013)


QIU Bingwen1
1Key Laboratory of Spatial Data Mining & Information Sharing of the Ministry of Education,Fuzhou University,Fuzhou350002,Fujian,China

DOI:10.3974/geodb.2016.04.09.V1

Published:Jul. 2016

Visitors:1280       Data Files Downloaded:141      
Data Downloaded:355.39 MB      Citations:

Key Words:

Mid-Eastern of China,MODIS-EVI,vegetation type,Ecological Indicators

Abstract:

The Vegetation Cover Dataset in Mid-Eastern China (2013) was developed based on the MODIS-EVI from 2012-2014. The data covers 13 provinces and metropolises, they are: Hebei, Shanxi, Shaanxi, Henan, Shandong, Jiangsu, Anhui, Zhejiang and Hubei provinces and Shanghai, Beijing, Tianjin and Chongqing metropolises from 27。9′38″N-42。33′44″N to 105。18′35″E-122。40′41″E. 6 vegetation types were identified, including Evergreen Broad-leaf Forest (EBF), Ever-green Needle-leaf Forest (ENF), Deciduous Broad-leaf Forest (DBF), agricultural crop, Sparse crop, Sparse forest/grass. The dataset is consisted of: (1) boundary of study area; (2) vegetation cover data, with the resolution of 500 m x 500 m. It is archived in .shp and .tif format with the compressed data size of 2.51 MB. The analysis paper was published in the Journal of Ecological Indicators, No.5, Vol.64, 2016.

Foundation Item:

National Natural Science Foundation of China (41471362)

Data Citation:

QIU Bingwen.2016.Vegetation Cover Dataset in Mid-Eastern China (2013) ( VegeCoverDataMidEastChina_2013 ) ,Global Change Research Data Publishing & Repository,DOI:10.3974/geodb.2016.04.09.V1

Data Product:

ID Data Name Data Size Operation
1 VegeCoverDataMidEastChina_2013.rar 2580.97kb DownLoad
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