针对特定环境和社会要素的光污染监测方法

Remote. Sens. Pub Date : 2024-02-22 DOI:10.3390/rs16050774
Justyna Górniak-Zimroz, K. Romańczukiewicz, Magdalena Sitarska, A. Szrek
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引用次数: 0

摘要

光污染严重干扰动物和人类的生活,因此应被列入威胁生态系统的因素。这项研究的主要目的是开发一种方法,用于监测人为地区受光污染影响的环境和社会因素。这项研究基于从 Suomi 国家极地轨道伙伴关系(Suomi NPP)卫星上的可见红外成像辐射计套件(VIIRS)获取的年度和月度照片、CORINE 土地覆盖(CLC)计划提供的土地覆盖数据,以及欧洲环境署(EEA)和世界保护区数据库(WDPA)提供的环境数据。用于进一步分析的输入数据的处理、方法的测试和最终结果的解释均在地理信息系统类软件(ArcGIS Pro)中进行。利用 2014 年和 2019 年生成的地图对调查区域的光污染进行了分析。在五个光污染等级中对环境和社会要素进行了空间识别。研究结果表明,所提出的方法可以识别出发光的环境和社会要素,以及受到光污染影响的环境和社会要素。这项工作中使用的方法使我们能够观察到光污染造成的变化(强度的降低或增加)。由于使用了可公开获得的数据,该方法可应用于光污染监测,作为人为区域空间规划的一部分。所提出的方法可以覆盖光污染区域,并(几乎在线)观测人为区域光辐射减少所带来的环境和社会变化。
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Light-Pollution-Monitoring Method for Selected Environmental and Social Elements
Light pollution significantly interferes with animal and human life and should, therefore, be included in the factors that threaten ecosystems. The main aim of this research is to develop a methodology for monitoring environmental and social elements subjected to light pollution in anthropogenic areas. This research is based on yearly and monthly photographs acquired from the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-Orbiting Partnership (Suomi NPP) satellite; land cover data from the CORINE Land Cover (CLC) program; and environmental data from the European Environment Agency (EEA) and the World Database on Protected Areas (WDPA). The processing of input data for further analyses, the testing of the methodology and the interpretation of the final results were performed in GIS-type software (ArcGIS Pro). Light pollution in the investigated area was analyzed with the use of maps generated for the years 2014 and 2019. The environmental and social elements were spatially identified in five light pollution classes. The research results demonstrate that the proposed methodology allows for the identification of environmental and social elements that emit light, as well as those that are subjected to light pollution. The methodology used in this work allows us to observe changes resulting from light pollution (decreasing or increasing the intensity). Owing to the use of publicly available data, the methodology can be applied to light pollution monitoring as part of spatial planning in anthropogenic areas. The proposed methodology makes it possible to cover the area exposed to light pollution and to observe (almost online) the environmental and social changes resulting from reductions in light emitted by anthropogenic areas.
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