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Author Ma, S.; Yan, W.; Huang, Y.-X.; Ai, W.-H.; Zhao, X.
Title Vicarious calibration of S-NPP/VIIRS day-night band using deep convective clouds Type Journal Article
Year 2015 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment
Volume 158 Issue Pages 42-55
Keywords (up) Instrumentation, Remote Sensing
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ISSN 0034-4257 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ christopher.kyba @ Serial 1077
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Author Zoogman, P.; Liu, X.; Suleiman, R.M.; Pennington, W.F.; Flittner, D.E.; Al-Saadi, J.A.; Hilton, B.B.; Nicks, D.K.; Newchurch, M.J.; Carr, J.L.; Janz, S.J.; Andraschko, M.R.; Arola, A.; Baker, B.D.; Canova, B.P.; Chan Miller, C.; Cohen, R.C.; Davis, J.E.; Dussault, M.E.; Edwards, D.P.; Fishman, J.; Ghulam, A.; González Abad, G.; Grutter, M.; Herman, J.R.; Houck, J.; Jacob, D.J.; Joiner, J.; Kerridge, B.J.; Kim, J.; Krotkov, N.A.; Lamsal, L.; Li, C.; Lindfors, A.; Martin, R.V.; McElroy, C.T.; McLinden, C.; Natraj, V.; Neil, D.O.; Nowlan, C.R.; OSullivan, E.J.; Palmer, P.I.; Pierce, R.B.; Pippin, M.R.; Saiz-Lopez, A.; Spurr, R.J.D.; Szykman, J.J.; Torres, O.; Veefkind, J.P.; Veihelmann, B.; Wang, H.; Wang, J.; Chance, K.
Title Tropospheric emissions: Monitoring of pollution (TEMPO) Type Journal Article
Year 2016 Publication Journal of Quantitative Spectroscopy and Radiative Transfer Abbreviated Journal Journal of Quantitative Spectroscopy and Radiative Transfer
Volume 186 Issue Pages 17-39
Keywords (up) Instrumentation, Remote Sensing
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ISSN 0022-4073 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ kyba @ Serial 1498
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Author Alamús, R.; Bará, S.; Corbera, J.; Escofet, J.; Palà , V.; Pipia, L.; Tardà, A.
Title Ground-based hyperspectral analysis of the urban nightscape Type Journal Article
Year 2017 Publication ISPRS Journal of Photogrammetry and Remote Sensing Abbreviated Journal ISPRS Journal of Photogrammetry and Remote Sensing
Volume 124 Issue Pages 16-26
Keywords (up) Instrumentation; Remote Sensing
Abstract Airborne hyperspectral cameras provide the basic information to estimate the energy wasted skywards by outdoor lighting systems, as well as to locate and identify their sources. However, a complete characterization of the urban light pollution levels also requires evaluating these effects from the city dwellers standpoint, e.g. the energy waste associated to the excessive illuminance on walls and pavements, light trespass, or the luminance distributions causing potential glare, to mention but a few. On the other hand, the spectral irradiance at the entrance of the human eye is the primary input to evaluate the possible health effects associated with the exposure to artificial light at night, according to the more recent models available in the literature. In this work we demonstrate the possibility of using a hyperspectral imager (routinely used in airborne campaigns) to measure the ground-level spectral radiance of the urban nightscape and to retrieve several magnitudes of interest for light pollution studies. We also present the preliminary results from a field campaign carried out in the downtown of Barcelona.
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ISSN 0924-2716 ISBN Medium
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Notes Approved no
Call Number LoNNe @ kyba @ Serial 1613
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Author Zeng, X.; Shao, X.; Qiu, S.; Ma, L.; Gao, C.; Li, C.
Title Stability Monitoring of the VIIRS Day/Night Band over Dome C with a Lunar Irradiance Model and BRDF Correction Type Journal Article
Year 2018 Publication Remote Sensing Abbreviated Journal Remote Sensing
Volume 10 Issue 2 Pages 189
Keywords (up) Instrumentation; Remote Sensing
Abstract The unique feature of the Visible Infrared Imager Radiometer Suite (VIIRS) day/night band (DNB) is its ability to take quantitative measurements of low-light scenes at night. In order to monitor the stability of the high gain stage (HGS) of the DNB, nighttime observations over the Dome C site under moonlight are analyzed in this study. The Miller and Turner 2009 (MT2009) lunar irradiance model has been used to simulate lunar illumination over Dome C. However, the MT2009 model does not differentiate the waxing and waning lunar phases. In this paper, the MT-SWC (SeaWiFS Corrected) lunar irradiance model differentiating the waxing and waning lunar phases is derived by correcting the MT2009 model using lunar observations made by the Sea-Viewing Wide Field-of-View Sensor (SeaWiFS). In addition, a top of atmosphere (TOA) bi-directional reflectance distribution function (BRDF) model during nighttime over Dome C is developed to remove the angular dependence from the nighttime TOA reflectance. The long-term stability monitoring of the DNB high-gain stage (HGS) reveals a lower reflectance factor in 2012 in comparison to the following years, which can be traced back to the change in relative spectral response (RSR) of National Oceanic & Atmospheric Administration’s (NOAA’s) Interface Data Processing Segment (IDPS) VIIRS DNB in April 2013. It also shows the radiometric stability of DNB data, with long-term stability of less than 1.58% over the periods from 2013 to 2016. This method can be used to monitor the radiometric stability of other low-light observing sensors using vicarious calibration sites under moonlight illumination.
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ISSN 2072-4292 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ kyba @ Serial 1805
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Author Li, X.; Zhao, L.; Li, D.; Xu, H.
Title Mapping Urban Extent Using Luojia 1-01 Nighttime Light Imagery Type Journal Article
Year 2018 Publication Sensors (Basel, Switzerland) Abbreviated Journal Sensors (Basel)
Volume 18 Issue 11 Pages
Keywords (up) Instrumentation; Remote Sensing
Abstract Luojia 1-01 satellite, launched on 2 June 2018, provides a new data source of nighttime light at 130 m resolution and shows potential for mapping urban extent. In this paper, using Luojia 1-01 and VIIRS nighttime light imagery, we compared several methods for extracting urban areas, including Human Settlement Index (HSI), Simple Thresholding Segmentation (STS) and SVM supervised classification. According to the accuracy assessment, the HSI method using LJ1-01 data had the best performance in urban extent extraction, which presented the largest Kappa Coefficient value, 0.834, among all the results. For the urban areas extracted by VIIRS based HSI method, the largest Kappa Coefficient value was 0.772. In contrast, the largest Kappa Coefficient values obtained by STS method were 0.79 and 0.7512 respectively when using LJ1-01 and VIIRS data, while for SVM method the values were 0.7829 and 0.7486 when using Landsat-LJ and Landsat-VIIRS composite data respectively. The experimented results demonstrated that the utilization of nighttime light imagery can largely improve the accuracy of urban extent extraction and LJ1-01 data, with a higher resolution and more abundant spatial information, can lead to better identification results than its predecessors.
Address Key Laboratory of the Ministry of Land and Resources for Law Evaluation Engineering, Wuhan 430074, China. xuhuimin1985_2008@163.com
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Language English Summary Language Original Title
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ISSN 1424-8220 ISBN Medium
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Notes PMID:30380616 Approved no
Call Number GFZ @ kyba @ Serial 2056
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