Detecting Light Outages After Severe Storms Using the S-NPP/VIIRS Day/Night Band Radiances

Cao, Changyong; Shao, Xi; Uprety, Sirish

doi:10.1109/lgrs.2013.2262258

Cited by 104 publications

(91 citation statements)

References 9 publications

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“…The fine quantization of HGS enhances the appearance of terrestrial light emissions, including faint city lights. By applying gain coefficients and offsets, raw data from DNB observation are converted into radiometric units, i.e., W/cm 2 -sr [19]. On the other hand, the pixel value of DMSP-OLS stable data obtained from NGDC is of a digital number (DN) in six-bit format with a value between zero and 63.…”

Section: Effect Of Quantizationmentioning

confidence: 99%

“…With the launch of the Suomi National Polar-orbiting Partnership (Suomi-NPP) satellite in October 2011, the day-night band (DNB) of the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard represents a major advancement in nighttime imaging capabilities [17][18][19][20][21]. DNB serves primarily to provide imagery of clouds and other Earth features over illumination levels ranging from full sunlight to quarter moon.…”

Section: Introductionmentioning

confidence: 99%

“…DNB serves primarily to provide imagery of clouds and other Earth features over illumination levels ranging from full sunlight to quarter moon. Other applications of using DNB, such as light outage detections during major storms, have been recently demonstrated [19]. The basic parameters for DNB specifications can be found in Table 1 [22] (Shao et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Comparison between the Suomi-NPP Day-Night Band and DMSP-OLS for Correlating Socio-Economic Variables at the Provincial Level in China

et al. 2015

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Abstract:Nighttime light imagery offers a unique view of the Earth's surface. In the past, the nighttime light data collected by the DMSP-OLS sensors have been used as an efficient means to correlate regional and global socio-economic activities. With the launch of the Suomi National Polar-orbiting Partnership (Suomi-NPP) satellite in 2011, the day-night band (DNB) of the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard represents a major advancement in nighttime imaging capabilities, because it surpasses its predecessor DMSP-OLS in radiometric accuracy, spatial resolution and geometric quality. In this paper, four variables (total night light, light area, average night light and log average night light) are extracted from nighttime radiance data observed by the VIIRS-DNB composite in 2013 and nighttime digital number (DN) data from the DMSP-OLS stable dataset in 2012, respectively, and correlated with 12 socio-economic parameters at the provincial level in mainland China during the corresponding period. Background noise of DNB composite data is removed using either a masking method or an optimal threshold method. In general, the correlation of these socio-economic data with the total night light and light area of VIIRS-DNB composite data is better than with the DMSP-OLS stable data. The correlations between total night light of denoised DNB composite data and built-up area, gross regional product (GRP) and power consumption are higher than 0.9 and so are the correlations between the light area of denoised DNB composite data and city and town population, built-up area, GRP, power consumption and waste water discharge. However, the correlations of socio-economic data with the average night light and log average night light of VIIRS-DNB composite data are not as good as with the DMSP-OLS stable data. To quantitatively analyze the reasons for the correlation difference, a cubic regression method is developed to correct the saturation effect of the DMSP stable data, and we artificially convert the pixel value of the DNB composite into six bits to match the DMSP stable data format. The correlation results between the processed data and socio-economic data show that the effects of saturation and quantization are two of the reasons for the correlation difference. Additionally, on this basis, we estimate the total night light ratio between saturation-corrected DMSP stable data and finite quantization DNB composite data, and it is found that the ratio is~11.28˘4.02 for China. Therefore, it appears that a different acquisition time is the other reason for the correlation difference.

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Section: Effect Of Quantizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparison between the Suomi-NPP Day-Night Band and DMSP-OLS for Correlating Socio-Economic Variables at the Provincial Level in China

et al. 2015

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“…VIIRS collects radiometric and imagery data in 22 spectral bands within the visible and infrared region ranging from 0.4 to 12.5 µm, including 16 moderate-resolution (750-m pixels) and five imagery resolution (375-m pixels) bands, plus one panchromatic "Day-Night Band". The VIIRS spectral data are calibrated and geolocated in ground processing to generate Sensor Data Records (SDRs) [11,12]. The solar reflective bands of VIIRS, covering similar wavelength range as MODIS, are also calibrated by the solar diffuser (SD) and lunar observations, with a calibration accuracy of approximately 2% in most bands.…”

Section: Dataset Descriptionmentioning

confidence: 99%

An Investigation of a Novel Cross-Calibration Method of FY-3C/VIRR against NPP/VIIRS in the Dunhuang Test Site

Gao

Zhao

et al. 2016

Remote Sensing

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Abstract:Radiometric cross-calibration of Earth observation sensors is an effective approach to evaluate instrument calibration performance, identify and diagnose calibration anomalies, and quantify the consistency of measurements from different sensors. In this study a novel cross-calibration method is proposed, taking into account the spectral and viewing angle differences adequately; the method is applied to the FY-3C/Visible Infrared Radiometer (VIRR), taking the Suomi National Polar-Orbiting Partnership (NPP)/Visible Infrared Imaging Radiometer Suite (VIIRS) as a reference. The results show that the relative difference between the two sets increases from January to May 2014, and becomes lower for the data on 24 July, 11 September, and 16 September, within approximately 10%. This phenomenon is caused by the updating of the calibration coefficients in the VIRR datasets with results from a vicarious method on June 2014. After performing an approximate estimation of the uncertainty, it is demonstrated that this calibration has a total uncertainty of 5.5%-6.0%, which is mainly from the uncertainty of the Bidirectional Reflectance Distribution Function model.

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“…Cao, C.Y. conducted accuracy validation research by estimating the accuracy of the VIIRS DNB data required for discerning power outages [47].…”

mentioning

confidence: 99%

A Scientometric Visualization Analysis for Night-Time Light Remote Sensing Research from 1991 to 2016

Guan

et al. 2017

Remote Sensing

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Abstract:In this paper, we conducted a scientometric analysis based on the Night-Time Light (NTL) remote sensing related literature datasets retrieved from Science Citation Index Expanded and Social Science Citation Index in Web of Science core collection database. Using the methods of bibliometric and Social Network Analysis (SNA), we drew several conclusions: (1) NTL related studies have become a research hotspot, especially after 2011 when the second generation of NTL satellites, the Suomi National Polar-orbiting Partnership (S-NPP) Satellite with the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor was on board. In the same period, the open-access policy of the long historical dataset of the first generation satellite Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) started. (2) Most related studies are conducted by authors from USA and China, and the USA takes the lead in the field. We identified the biggest research communities constructed by co-authorships and the related important authors and topics by SNA. (3) By the visualization and analysis of the topic evolution using the co-word and co-cited reference networks, we can clearly see that: the research topics change from hardware oriented studies to more real-world applications; and from the first generation of the satellite DMSP/OLS to the second generation of satellite S-NPP. Although the Day Night Band (DNB) of the S-NPP exhibits higher spatial and radiometric resolution and better calibration conditions than the first generation DMSP/OLS, the longer historical datasets in DMSP/OLS are still important in long-term and large-scale human activity analysis. (4) In line with the intuitive knowledge, the NTL remote sensing related studies display stronger connections (such as interpretive frame, context, and academic purpose) to the social sciences than the general remote sensing discipline. The citation trajectories are visualized based on the dual-maps, thus the research preferences for combining the environmental, ecological, economic, and political science disciplines are clearly exhibited. Overall, the picture of the NTL remote sensing research is presented from the scientist-level, topic-level, and discipline-level interactions. Based on these analyses, we also discuss the possible trends in the future work, such as combining NTL studies with social science research and social media data.

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Detecting Light Outages After Severe Storms Using the S-NPP/VIIRS Day/Night Band Radiances

Cited by 104 publications

References 9 publications

Comparison between the Suomi-NPP Day-Night Band and DMSP-OLS for Correlating Socio-Economic Variables at the Provincial Level in China

Comparison between the Suomi-NPP Day-Night Band and DMSP-OLS for Correlating Socio-Economic Variables at the Provincial Level in China

An Investigation of a Novel Cross-Calibration Method of FY-3C/VIRR against NPP/VIIRS in the Dunhuang Test Site

A Scientometric Visualization Analysis for Night-Time Light Remote Sensing Research from 1991 to 2016

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