范围(计算机科学)
背景(考古学)
遥感
地球仪
贫穷
计算机科学
地理
代理(哲学)
地球观测
日光
卫星
工程类
政治学
哲学
航空航天工程
物理
考古
光学
程序设计语言
法学
眼科
认识论
医学
作者
Ángela Abascal,Christopher C. M. Kyba,Franz Hölker,Monika Kuffer,Hector Linares Arroyo,Ken Walczak,Alejandro Sánchez de Miguel,Tobias Degen,M. O. Román
标识
DOI:10.1109/jurse57346.2023.10144207
摘要
Intra-urban poverty mapping using Earth Observation is primarily limited to daylight studies. Its present scope does not reveal several facets of urban poverty, such as access to reliable and sustainable energy for all (SDG-7). Most of our current knowledge of artificial light at night comes from datasets generated by a limited number of remote sensing missions, mostly low spatial and spectral resolution sensors and images from the International Space Station (ISS). The latter offers greater spectral and spatial resolution but is not routinely acquired for most parts of the globe. Although there are currently automatic methods for their calibration, they continue to present limitations that make them a non-ideal instrument for global monitoring of the multiple dimensions of urban poverty. Therefore, this study provides an overview of the multiple dimensions of poverty and its scope to be observed through nighttime light remote sensing imagery. We define user requirements for upcoming satellite-based sensors to support global urban poverty mapping in the context of the ongoing European Space Agency-funded research project called NightWatch.
科研通智能强力驱动
Strongly Powered by AbleSci AI