Remote identification of research and educational activities using spectral properties of nighttime light

מאת: Rybnikova N.A., Portnov B.A.
פורסם ב: ISPRS Journal of Photogrammetry and Remote Sensing
תיאור: Research and educational activities (R&EAs) are major forces behind modern economic growth. However, data on geographiclocation of such activities are often poorly reported. According to our research hypothesis, intensities and spectral properties of artificial light-at-night (ALAN) can be used for remote identification of R&EAs, due to their unique ALAN signatures. In order to develop activity identification models, we carried out a series of in situ measurements of ALAN intensities and spectral properties in a major metropolitan area in Israel. For this task, we used an illuminance CL-500A spectrophotometer that measures the total intensity and spectral irradiance of ALAN, incremented by a 1-nm pitch, from 360 to 780 nm. As our analysis shows, logistic regressions, incorporating ALAN intensities at the peak or near-peak wavelengths, and geographical attributes of the measurement sites as controls, succeeded to predict correctly up to 98.6% of the actual locations of R&EAs. A digital camera satellite image, obtained from the Astronaut Photography Database, was used for the model's validation. According to the validation results, the actual locations of R&EAs coincided well with the estimated high probability areas, as confirmed by the values of Cohen's Kappa index of up to 64%, which indicate a reasonable level of agreement. © 2017 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS)
SDGs : SDG 08  |  יחידות: מדעי החברה  | מועד: 2017 |  קישור