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Fractional Vegetation Cover Dataset within 10 km Buffer Area along Angren-Papu Railway, Uzbekistan(2017)


PEI Jie1,2NIU Zheng*1,2WU Mingquan1
1State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100101,China2University of Chinese Academy of Sciences,Beijing 100049,China

DOI:10.3974/geodb.2018.07.07.V1

Published:Nov. 2018

Visitors:2373       Data Files Downloaded:21      
Data Downloaded:146.73 MB      Citations:

Key Words:

Fractional Vegetation Cover,Angren-Papu railway,Landsat-8,NDVI,Dimidiate Pixel Model,Google Earth Engine

Abstract:

Fractional Vegetation Cover (FVC) is defined as the ratio or percentage of the vertical projected area of vegetation leaves, stems, and branches on the ground relative to the total area of the statistical area. Based on the Google Earth Engine cloud platform, using the long-term series Landsat-8 normalized difference vegetation index (NDVI) dataset, we combined the maximum composite method (MVC) and Dimidiate Pixel Model to produce the annual maximum FVC dataset at 30m resolution within 10 km buffer area along the Angren-Papu railway, Uzbekistan in 2017. The study area of the dataset is 40°47′05″N - 41°12′35″N, 70°1′24″E – 71°10′51″E. The data value ranges between 0 and 1, in which, 0 means no vegetation coverage and 1 means full of vegetation. The dataset shows that FVC over 0.6 within the area merely accounts for 34.85% of the total area, which is closely related to the drought climate characteristics locally. The data is archived in .tif data format in 30 m pixels with data size of 29.7 MB in three files (Compressed to one single file with data size of 6.98 MB). The research report based on the dataset was published at http://www.chinageoss.org.

Foundation Item:

Chinese Academy of Sciences (XDA19030304); National Natural Science Foundation of China (41730107)

Data Citation:

PEI Jie,NIU Zheng*,WU Mingquan.Fractional Vegetation Cover Dataset within 10 km Buffer Area along Angren-Papu Railway, Uzbekistan(2017)[DB/OL].Global Change Data Repository,2018.DOI:10.3974/geodb.2018.07.07.V1.

Tian, H. F., Niu, Z., Liu, Q. H., et al. The vegetation coverage datasets covering ten interconnection projects of the Belt and Road Initiative (2017) [J]. Journal of Global Change Data & Discovery, 2019, 3(1): 27–33. DOI: 10.3974/geodp.2019.01.04.

Data Product:

ID Data Name Data Size Operation
1 FVC_Angren-Papu_Railway_2017.rar 7154.93KB
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