Paper Info
Title
Measurement of blooming effect of DMSP-OLS nighttime light data based on NPP-VIIRS data
Abstract
Nighttime light (NTL) imagery offers important data for socio-economic research since it depicts human activities at night. Blooming effect is one of the main problems of DMSP-OLS NTL data, but the problem has been largely mitigated in NPP-VIIRS data. Blooming effect smooths light intensity through diffusing the brightness from the bright area to the dark areas. This effect could be quantified by the alteration of spatial heterogeneity in light intensity which can be represented by spatial texture indices. Taking NPP-VIIRS data as the standard, this study calculates relative difference of spatial texture indices between NPP-VIIRS and DMSP-OLS images to measure the blooming effect of DMSP-OLS data at pixel scale in mainland China. Results show that within the real urban area, spatial texture indices of DMSP-OLS pixels are generally smaller than that of NPP-VIIRS, suggesting that blooming effect underestimates spatial heterogeneity and it is more serious towards to urban centres where nighttime light is stronger. DMSP-OLS underestimates 90% spatial heterogeneity when NPP-VIIRS value >10. On the contrary, in the region outside real urban area, spatial texture indices of DMSP-OLS data are greater than that of NPP-VIIRS, suggesting that blooming effect introduces fake spatial heterogeneity outside the real urban area.
Year
DOI
Venue
2019
10.1080/19475683.2019.1570336
ANNALS OF GIS
Keywords
Field
DocType
Blooming effect,nighttime light (NTL),DMSP-OLS,NPP-VIIRS,spatial heterogeneity
Remote sensing,Spatial heterogeneity,Geography
Journal
Volume
Issue
ISSN
25
2
1947-5683
Citations 
PageRank 
References 
0
0.34
5
Authors
4
Name
Order
Citations
PageRank
Zheyan Shen100.34
Xiaolin Zhu29014.50
Xin Cao3155.20
Jin Chen425931.87