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Data Details

Monthly and Yearly VIIRS/DNB Nighttime Light Data Based on Cubic Hermite Model in Beijing-Tianjin-Hebei Region


CHEN Mulin1,2CAI Hongyan1
1Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China2University of Chinese Academy of Sciences,Beijing 100049,China

DOI:10.3974/geodb.2019.05.14.V1

Published:Oct. 2019

Visitors:353       Data Files Downloaded:15      
Data Downloaded:442.34 MB      Citations:

Key Words:

Nighttime light of VIIRS/DNB,cubic Hermite model,monthly composites,yearly composites,Beijing-Tianjin-Heibei region,Progress in Geography

Abstract:

The VIIRS/DNB nighttime light (NTL) data are easily subjected to stray light, resulting in a region of distorted pixels in the mid and high latitude areas, especially in summer time from May to August. Based on the cubic Hermite model, the distorted and missing value pixels of the VIIRS/DNB NTL data released by NOAA were re-constructed. This dataset is archived in .tif data format, consists of monthly and yearly data products, temporal spans 2013-2018. Its spatial resolution is 15 arc sec and the data size is 292 MB in 120 data files (Compressed to one file with 29.4 MB). This dataset does not represent temporal light such as fires or vehicle lights, thereby this dataset is mainly suitable for socio-economic researches, but not for temporal light analysis. The analysis paper based on this dataset was published in the journal of Progress in Geography, Vol. 38, No. 1, 2019.

Foundation Item:

Chinese Academy of Sciences (XDA20010203, ZDRW-ZS-2017-4); Ministry of Education of P. R. China (2018CXZZ003)

Data Citation:

CHEN Mulin,CAI Hongyan.Monthly and Yearly VIIRS/DNB Nighttime Light Data Based on Cubic Hermite Model in Beijing-Tianjin-Hebei Region[DB/OL].Global Change Research Data Publishing & Repository,2019.DOI:10.3974/geodb.2019.05.14.V1.

Data Product:

ID Data Name Data Size Operation
1 VIIRS_DNB_Hermite_JJJ.rar 30197.36KB 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