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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 (up) 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Year 2011 Publication Unpublished working paper submitted to NASA JSC Imaging Lab Abbreviated Journal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 (up) 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 (up) 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 (up) Remote Sensing
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Call Number LoNNe @ christopher.kyba @ Serial 494
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Author Elvidge, C.D.; Cinzano, P.; Pettit, D.R.; Arvesen, J.; Sutton, P.; Small, C.; Nemani, R.; Longcore, T.; Rich, C.; Safran, J.; Weeks, J.; Ebener, S.
Title The Nightsat mission concept Type Journal Article
Year 2007 Publication International Journal of Remote Sensing Abbreviated Journal International Journal of Remote Sensing
Volume 28 Issue 12 Pages 2645-2670
Keywords (up) Remote Sensing
Abstract Nightsat is a concept for a satellite system capable of global observation of the location, extent and brightness of night‐time lights at a spatial resolution suitable for the delineation of primary features within human settlements. Based on requirements from several fields of scientific inquiry, Nightsat should be capable of producing a complete cloud‐free global map of lights on an annual basis. We have used a combination of high‐resolution field spectra of outdoor lighting, moderate resolution colour photography of cities at night from the International Space Station, and high‐resolution airborne camera imagery acquired at night to define a range of spatial, spectral, and detection limit options for a future Nightsat mission. The primary findings of our study are that Nightsat should collect data from a near‐synchronous orbit in the early evening with 50 to 100 m spatial resolution and have detection limits of 2.5E−8 Watts cm−2sr−1µm−1 or better. Although panchromatic low‐light imaging data would be useful, multispectral low‐light imaging data would provide valuable information on the type or character of lighting; potentially stronger predictors of variables such as ambient population density and economic activity; and valuable information to predict response of other species to artificial night lighting. The Nightsat mission concept is unique in its focus on observing a human activity, in contrast to traditional Earth observing systems that focus on natural systems.
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Call Number LoNNe @ christopher.kyba @ Serial 495
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