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Sentinel Based Fractional Vegetation Coverage Dataset in Sri Lanka (2018)


ZHONG Bo1WU Jinhua2WU Junjun1YANG Aixia1
1 State Key Laboratory of Remote Sensing Science,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100101,China2 Sun Yat-Sen University,Guangzhou 510275,China

DOI:10.3974/geodb.2020.09.03.V1

Published:Dec. 2020

Visitors:2020       Data Files Downloaded:69      
Data Downloaded:22013.75 MB      Citations:

Key Words:

Fractional Vegetation Coverage,Sentinel data,Sri Lanka,pixel dichotomy

Abstract:

Sentinel based fractional vegetation coverage dataset in Sri Lanka (2018) was developed by using pixel dichotomy and Sentinel Satellite data at the Google Earth Engine platform. The spatial resolution is 10 m. The dataset is archived in .tif data format, consists of 3 data files, with a data size of 2.39 GB (compressed into 3 files, 948 MB).

Foundation Item:

Ministry of Science and Technology of P. R. China (2018YFA0605500);Chinese Academy of Sciences (2020)

Data Citation:

ZHONG Bo, WU Jinhua, WU Junjun, YANG Aixia.Sentinel Based Fractional Vegetation Coverage Dataset in Sri Lanka (2018)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2020. https://doi.org/10.3974/geodb.2020.09.03.V1.

References:

GADM data (version 3.6),https://gadm.org/download_country_v3.html.
     

Data Product:

ID Data Name Data Size Operation
1 FVC_SriLanka_2018.part1.rar 358400.00KB
2 FVC_SriLanka_2018.part2.rar 358400.00KB
3 FVC_SriLanka_2018.part3.rar 254232.51KB
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