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Author Imhoff, M.
Title Using nighttime DMSP/OLS images of city lights to estimate the impact of urban land use on soil resources in the United States Type Journal Article
Year 1997 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment
Volume 59 Issue 1 Pages 105-117
Keywords Remote Sensing
Abstract Nightime “city light” footprints derived from DMSP/OLS satellite images were merged with census data and a digital soils map in a continental-scale test of a remote sensing and geographic information system methodology for approximating the extent of built-up land and its potential impact on soil resources in the United States. Using image processing techniques and census data, we generated maps where the “city lights” class represented mean population densities of 947 persons km−2 and 392 housing units km−2, areas clearly not available to agriculture. By our analysis, such “city lights” representing urban areas accounted for 2.7% of the surface area in the United States, an area approximately equal to the State of Minnesota or one half the size of California. Using the UN/FAO Fertility Capability Classification System to rank soils, results for the United States show that development appears to be following soil resources, with the better agricultural soils being the most urbanized. Some unique soil types appear to be on the verge of being entirely coopted by “urban sprawl.” Urban area figures derived from the DMSP/OLS imagery compare well to those derived from statistical sources. Further testing and refinement of the methodology remain but the technique shows promise for possible extension to global evaluations of urbanization, population and even global productivity.
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ISSN 0034-4257 ISBN Medium
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Notes Approved no
Call Number LoNNe @ christopher.kyba @ Serial 496
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Author Aubé, M.; Franchomme-Fossé, L.; Robert-Staehler, P.; Houle, V.
Title Light pollution modeling and detection in a heterogeneous environment: toward a night time aerosol optical depth retrieval method. Type Journal Article
Year 2005 Publication Proceedings of SPIE 2005 -- Volume 5890, San Diego, California, USA. Abbreviated Journal
Volume 5890 Issue Pages
Keywords Skyglow; aerosol optical depth;  remote sensing; light pollution; artificial skyglow
Abstract Tracking the Aerosol Optical Depth (AOD) is of particular importance in monitoring aerosol contributions to global radiative forcing. Until now, the two standard techniques used for retrieving AOD were; (i) sun photometry, and (ii) satellite based approaches, such as based DDV (Dense Dark Vegetation) inversion algorithms. These methods are only available for use during daylight time since they are based on direct or indirect observation of sunlight. Few attempts have been made to measure AOD behaviour at night. One such method uses spectrally ­ calibrated stars as reference targets but the number of available stars is limited. This is especially true for urban sites where artificial lighting hides most  of these stars. In this research, we  attempt  to provide an alternate method, one  which exploits artificial sky glow or light pollution. This methodology links a 3D light pollution model with in situ light pollution measurements. The basic idea is to adjust an AOD value into the model in order to fit measured light pollution. This method requires an accurate model that includes spatial heterogeneity in lighting angular geometry, in lighting spectral dependence, in ground spectral reflectance and in topography. This model, named ILLUMINA, computes 1st and 2nd order molecular and aerosol scattering, as well as aerosol absorption. These model features represent major improvements to previous light pollution models. Therefore, new possibilities for light pollution studies will arise, many of which are of particular interest to the astronomical community. In this paper we will present a first sensitive study applied to the ILLUMINA model.
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Call Number LoNNe @ kagoburian @ Serial 554
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Author Kyba, C.C.M.; Giuliani, G.; Franziskakis, F.; Tockner, K.; Lacroix, P.
Title Artisanal and Small-Scale Mining Sites in the Democratic Republic of the Congo Are Not Associated with Nighttime Light Emissions Type Journal Article
Year 2019 Publication J Abbreviated Journal J
Volume 2 Issue 2 Pages 152-161
Keywords Remote Sensing
Abstract Maintaining records of artisanal and small-scale mining sites in developing countries requires considerable effort, so it would be beneficial if Earth observation data from space could assist in the identifying and monitoring of such sites. Artificial light emissions are common at industrial-scale mining sites and have been associated with small-scale illegal mining in some contexts. Here, we examine whether known artisanal and small-scale mining sites in the Democratic Republic of the Congo (DRC) are associated with observations of night light emissions by the Visible Infrared Imaging Radiometer Suite Day/Night Band (DNB). Light emissions from the mining sites were not observed: the radiance observed from the sites was near zero and nearly identical to that observed for a set of randomly-chosen locations in the same region. While it is the case that DNB night lights’ products provide useful data in other resource extraction contexts, they do not appear to be useful for identifying artisanal mining sites in the DRC.
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ISSN 2571-8800 ISBN Medium
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Notes Approved no
Call Number GFZ @ kyba @ Serial 2295
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Author Aubrecht, C.; Jaiteh, M.; Sherbinin, A.De.; Longcore, T.
Title Monitoring impact of urban settlements on nearby protected areas from space. Type Journal Article
Year 2010 Publication Geophysical Research Abstracts Abbreviated Journal
Volume 12 Issue Pages 12758-12758
Keywords Remote Sensing
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Call Number LoNNe @ schroer @ Serial 570
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Author Amaral, S.; Monteiro, A.M.V.; Camara, G.; Quintanilha, J.A.
Title DMSP/OLS night-time light imagery for urban population estimates in the Brazilian Amazon Type Journal Article
Year 2006 Publication International Journal of Remote Sensing Abbreviated Journal International Journal of Remote Sensing
Volume 27 Issue 5 Pages 855-870
Keywords Remote Sensing
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ISSN 0143-1161 ISBN Medium
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Notes Approved no
Call Number LoNNe @ kagoburian @ Serial 701
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