Optimization of sensor locations for a light...
URL: https://doi.org/10.1016/j.jqsrt.2023.108584
Light Pollution is an environmental problem that needs to be retrieved by experimental means. However, to the best of our knowledge, there is no methodology nor a quantitative procedure to determine an optimal light pollution monitoring network. In this work, we propose a methodology for locating sensors in a light pollution monitoring network by formulating an optimization problem. We introduce an objective function that measures the representativeness of a set of locations using the spatial semi-variance over an image, and different levels of monitoring needs according to the environmental vulnerability of each location. To apply the methodology to a region of interest, we consider three inputs: a Nighttime-Light Image NTLI, an Environmental Vulnerability Map, and a constrained number of sensors. The output is a set of coordinates to locate sensors that consider the intensity of luminosity in nighttime images and its environmental impact. A case study shows that the methodology locates sensors in the most vulnerable areas in which measurements may optimally represent a wide region of the studied territory.
Todavía no existen vistas creadas para este recurso.
Información adicional
| Campo | Valor |
|---|---|
| Última actualización de los datos | 11 de octubre de 2025 |
| Última actualización de los metadatos | 11 de octubre de 2025 |
| Creado | 11 de octubre de 2025 |
| Formato | HTML |
| Licencia | No se ha provisto de una licencia |
| Id | 52f1be87-3762-437d-99d1-c031abefb222 |
| Package id | f7cd2558-0bc7-4eca-b76e-452abb9eb36b |
| State | active |