Detecting and characterizing nighttime lighting using multispectral and hyperspectral imaging
Metcalf, Jeremy P.
Kruse, Fred A.
Elvidge, Christopher D.
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Multispectral imagery (MSI) of Las Vegas, Nevada, were investigated to determine their potential for accurately mapping nocturnal lighting using a reference spectral library of lighting types. Nocturnal lighting classifications of International Space Station (ISS) astronaut color photography and 8-, 6-, and 4-band MSI generated by modeling high spectral resolution hyperspectral imagery (HSI) data to lower spectral resolution were compared to lighting identification accomplished using the full resolution HSI spectral signatures. The results indicate that ISS imagery does not have the spectral resolution necessary to accurately distinguish between the emission features of outdoor lighting. The modeled multispectral band configurations demonstrated somewhat improved separation of certain lighting types by their spectral signatures, however, with only 8, 6, or 4 spectral bands, accurate discrimination of lighting types still remains a daunting task. While the different colors associated with outdoor lighting can be visually delineated in MSI data, the limited spectral information does not allow for accurate lighting type classification because of the inability to identify specific sharp emission features. Mapping nocturnal lighting using MSI data does have some utility, and certainly would provide better spatial coverage, however, HSI remains the most accurate method to differentiate the emission features associated with urban outdoor lighting.
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Kruse, Fred A.; Elvidge, Christopher D. (SPIE, 2011);"ProSpecTIR" Imaging spectrometer (hyperspectral imagery or "HSI") data were collected for the city of Las Vegas, Nevada, USA at 10:55 PM July 28, 2009 for the purposes of identification, characterization, and mapping of ...
Kruse, Fred A.; Elvidge, Christopher D. (IEEE, 2011-04);Remote mapping of night lights has been used for decades for mapping urbanization and the global distribution of human activity. Most of this has been accomplished using remote sensing data from the Defense Meteorological ...
Kruse, Fred A.; Elvidge, Christopher D. (2010-12);Remote mapping of night lights using the Defense Meteorological Satellite Program (DMSP) has been used for decades to inventory the global distribution of human activity. Â©Â± The coarse spatial and spectral resolution ...