Normalization of VIIRS DNB images for improved estimation of socioeconomic indicators
Monthly Visible Infrared Imaging Radiometer Suite (VIIRS) Day-Night Band (DNB) composite data are widely used in research, such as estimations of socioeconomic parameters. However, some surface conditions affect the VIIRS DNB radiance, which may create some estimation bias in certain regions. In thi...
Main Authors: | Duc Chuc Man, Hirakawa Tsubasa, Hiromichi Fukui |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2021-05-01
|
Series: | International Journal of Digital Earth |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/17538947.2020.1849438 |
Similar Items
-
Archive and distribution of VIIRS DNB data for the Northeast Asian Sea
by: Euihyun Kim, et al.
Published: (2021-03-01) -
Disaster-Caused Power Outage Detection at Night Using VIIRS DNB Images
by: Haodong Cui, et al.
Published: (2023-01-01) -
Reducing Variability and Removing Natural Light from Nighttime Satellite Imagery: A Case Study Using the VIIRS DNB
by: Jacqueline Coesfeld, et al.
Published: (2020-06-01) -
Assessment of BRDF Impact on VIIRS DNB from Observed Top-of-Atmosphere Reflectance over Dome C in Nighttime
by: Jinjin Li, et al.
Published: (2021-01-01) -
Annual Time Series of Global VIIRS Nighttime Lights Derived from Monthly Averages: 2012 to 2019
by: Christopher D. Elvidge, et al.
Published: (2021-03-01)