{"title":"The remote sensing of nocturnal images from the ISS can contribute to environmental and socioeconomic studies","authors":"H. A. Solano-Lamphar","doi":"10.1109/ENC56672.2022.9882914","DOIUrl":null,"url":null,"abstract":"The night-time images captured by the astronauts on the International Space Station represent a valuable source of information for all researchers interested in the study of light pollution. There is a significant advantage in using remote sensing data, because local measurements require too much time to cover a large area. We present this paper to make a relative estimation of the amount of lighting that is projected into the atmosphere in different cities of Mexico. The main purpose was to determine light pollution by geo-referencing night-time images obtained from the International Space Station. We can use the results in subsequent studies on the variation of night-time lighting conditions and their socio-demographic, socio-economic, and environmental relationships. This work interests lighting engineers, night sky modelers and public policy researchers who have a continuous need for sufficient data on the distribution of light intensity to enable better analysis and the establishment of regulatory measures.","PeriodicalId":138401,"journal":{"name":"Mexican International Conference on Computer Science","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mexican International Conference on Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ENC56672.2022.9882914","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The night-time images captured by the astronauts on the International Space Station represent a valuable source of information for all researchers interested in the study of light pollution. There is a significant advantage in using remote sensing data, because local measurements require too much time to cover a large area. We present this paper to make a relative estimation of the amount of lighting that is projected into the atmosphere in different cities of Mexico. The main purpose was to determine light pollution by geo-referencing night-time images obtained from the International Space Station. We can use the results in subsequent studies on the variation of night-time lighting conditions and their socio-demographic, socio-economic, and environmental relationships. This work interests lighting engineers, night sky modelers and public policy researchers who have a continuous need for sufficient data on the distribution of light intensity to enable better analysis and the establishment of regulatory measures.