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Sentinel Based Normalized Differential Vegetation Index (NDVI) 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.2020.09.05.V1

Published:Dec. 2020

Visitors:2356       Data Files Downloaded:54      
Data Downloaded:20504.51 MB      Citations:

Key Words:

Normalized Differential Vegetation Index,Sentinel data,Sri Lanka

Abstract:

Sentinel based Normalized Differential Vegetation Index (NDVI) dataset in Sri Lanka (2018) with spatial resolution of 10 m was developed by using Sentinel Satellite data at the Google Earth Engine platform. The dataset is archived in .tif data format, consists of 3 data files, with data size of 1.13 GB (compressed into 3 files for transformation easily, total compressed file size is 1.11 GB).

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 Normalized Differential Vegetation Index (NDVI) Dataset in Sri Lanka (2018)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2020. https://doi.org/10.3974/geodb.2020.09.05.V1.

References:

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

Data Product:

ID Data Name Data Size Operation
1 NDVI_SriLanka_2018.part1.rar 394240.00KB
2 NDVI_SriLanka_2018.part2.rar 394240.00KB
3 NDVI_SriLanka_2018.part3.rar 377043.23KB
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