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Why VIIRS data are superior to DMSP for mapping nighttime lights
Abstract
For more than forty years the U.S. Air Force Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) has been the only satellite system collecting global low-light imaging data. A series of twenty-four DMSP satellites have collected low-light imaging data. The design of the OLS has not changed significantly since satellite F-4 flew in the late 1970’s and OLS data have relatively coarse spatial resolution, limited dynamic range, and lack in-flight calibration. In 2011 NASA and NOAA launched the Suomi National Polar Partnership (SNPP) satellite carrying the first Visible Infrared Imaging Radiometer Suite (VIIRS) instrument. The VIIRS collects low light imaging data and has several improvements over the OLS’ capabilities. In this paper we contrast the nighttime low light imaging collection capabilities of these two systems and compare their data products.
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NTLs are known to oversaturate in urban areas and do not allow granular spatial analysis.
“we exclude them from the analysis since NTLs are known to oversaturate in urban areas [12] and do not allow a granular spatial analysis.”
From Under the Radar -- Auditing Fairness in ML for Humanitarian Mapping (2021) · cites this paper as [12]
DMSP sensors are not precise enough in populous regions and NTLs are too bright to separate the activity of individual cells from adjacent cells.
“This is especially a known problem in populous regions where DMSP sensors are not precise enough and NTLs are too bright to separate the activity of individual cells from adjacent cells [12].”
From Under the Radar -- Auditing Fairness in ML for Humanitarian Mapping (2021) · cites this paper as [12]
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Under the Radar -- Auditing Fairness in ML for Humanitarian Mapping
Kondmann, L., & Zhu, X. X. (2021) · arXiv · doi:10.48550/arxiv.2108.02137 · Cited by 3
Metadata
- Authors
- Elvidge, C. D., Baugh, K. E., Zhizhin, M., & Hsu, F.-C.
- Affiliations
- National Oceanic and Atmospheric Administration (US)
- Cooperative Institute for Research in Environmental Sciences (US)
- Venue
- Proceedings of the Asia-Pacific Advanced Network
- Published
- 2013-06-10
- Volume
- 35
- Issue
- 0
- Pages
- 62
- ISSN
- 2227-3026 (ISSN-L)
- OpenAlex
- W2025943354
- Cited by
- 699
- References
- 0
- Citations by year
- 2026: 37 · 2025: 66 · 2024: 75 · 2023: 69 · 2022: 83 · 2021: 76 · 2020: 70 · 2019: 61 · 2018: 52 · 2017: 37 · 2016: 31 · 2015: 20 · 2014: 16 · 2013: 6
- FWCI
- 18.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Proceedings of the Asia-Pacific Advanced Network (publishedVersion)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Impact of Light on Environment and Health
- Physical Sciences › Engineering › Aerospace Engineering › Calibration and Measurement Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Satellite Image Processing and Photogrammetry
- Keywords
- nighttime lights, VIIRS, satellite sensor comparison, low-light imaging, in-flight calibration, dynamic range, spatial resolution
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Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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