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Author Roychowdhury, K.; Taubenbock, H.; Jones, S.
Title Delineating urban, suburban and rural areas using Landsat and DMSP-OLS night-time images Type Journal Article
Year 2011 Publication Urban Remote Sensing Event (JURSE), 2011 Joint Abbreviated Journal
Volume Issue Pages 33 - 36
Keywords Remote Sensing
Abstract The number and size of urban settlements are increasing in all the continents of the world at a rapid pace. Urban sprawl is associated not only with changes in landcover and area, but also ecological, climate and social transformations. Mapping the growth and spread of urban areas is important. Remote sensing has long been used to map human settlements. Today the availability of a large number of satellites and sensors, determining the appropriate image to map urban area is a research area itself. This study compares two satellite images: Landsat Enhanced Thematic Mapper data and Defence Meteorological Satellite Program, Operational Linescan System image to map the urban footprint of the city of Hyderabad, India. Landsat ETM data is captured during the daytime and gives spectral reflectance values while the DMSP-OLS data captures artificial lights from human settlements at night and produces brightness information. The results show an accuracy of more than 90% in the classification and delineation of urban, suburban and rural landcover types. This study shows that in addition to spectral reflectance captured by satellites from different features on the earth surface during the daytime, differences in the degree of brightness of the lights emitted from urban areas at night is also an effective indicator in delineating landcover types.
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Call Number LoNNe @ christopher.kyba @ Serial 491
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Author Zamorano Calvo, J.; Sánchez de Miguel, A.; Pascual Ramírez, S.; Gómez Castaño, J.; Ramírez Moreta, P.; Challupner, P.
Title ISS nocturnal images as a scientific tool against Light Pollution Type Journal Article
Year 2011 Publication Unpublished working paper submitted to NASA JSC Imaging Lab Abbreviated Journal
Volume Issue Pages
Keywords Remote Sensing
Abstract The potential of the night pictures taken from the International Space Station (ISS) with a Nikon D3s digital camera to fight against light pollution is shown. A scientific analysis of ISS026-E-26493 RAW image of Madrid at night with techniques used by astronomers and cartographers is performed. We suggest an observational setup to obtain useful scientific information from the pictures including series of exposures and calibration frames.
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Call Number LoNNe @ christopher.kyba @ Serial 492
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Author Paulino, C.; Escudero, L.
Title Use of Night Satellite Imagery to Monitor the Squid Fishery in Peru Type Journal Article
Year 2010 Publication Case study 10 of Handbook of Satellite Remote Sensing Image Interpretation: Applications for Marine Living Resources Conservation and Management Abbreviated Journal
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Keywords Remote Sensing
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Call Number LoNNe @ christopher.kyba @ Serial 493
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Author Ziskin, D.; Baugh, K.; Hsu, F.C.; Ghosh, T.; Elvidge, C.
Title Methods Used For the 2006 Radiance Lights Type Journal Article
Year 2010 Publication Proceedings of the 30th Asia-Pacific Advanced Network Meeting, August 9-13, Hanoi, Vietnam Abbreviated Journal
Volume 30 Issue Pages 131-142
Keywords Remote Sensing
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Call Number LoNNe @ christopher.kyba @ Serial 494
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Author Elvidge, C.D.; Baugh, K.E.; Kihn, E.A.; Kroehl, H.W.; Davis, E.R.
Title Mapping city lights with night-time data from the DMSP operational linescan system. Type Journal Article
Year 1997 Publication Photogrammetric Engineering and Remote Sensing Abbreviated Journal ISPRS Journal of Photogrammetry and Remote Sensing
Volume 63 Issue 6 Pages 727-734
Keywords Remote Sensing
Abstract The Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) has a unique capability to detect low levels of visible and near-infrared (VNIR) radiance at

night. With the OLS “VIS” band data, it is possible to detect clouds illuminated by moonlight, plus lights from cities, towns, industrial sites, gas pares, and ephemeral events such as fires and lightning illuminated clouds. This paper presents methods which have been developed for detecting and geolocating VNIR emission sources with nighttime DMSP-OLS data and the analysis of image time series to identify spatially stable emissions from cities, towns, and industrial sites. Results are presented for the United States.
Address Desert Research Institute, University of Nevada System, Reno, NV 89506 and the Solar-Terrestrial Physics Division, National Oceanic and Atmospheric Administration, National Geophysical Data Center, 325 Broadway, Boulder, CO 80303; cde(at)ngdc.noaa.gov
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Call Number LoNNe @ christopher.kyba @ Serial 497
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