Project

An innovative method of monitoring artificial light pollution in natural and urban environments using unmanned aerial vehicles (drones)

Goal: According to the current state of knowledge, an inappropriate use of artificial lighting at night (ALAN) has a number of negative effects on health and life of many organisms.
The main goal of the project is to develop an ALAN monitoring method in natural and urban environments. The basic assumptions for the new method are: the use of unmanned aerial vehicles equipped with a multispectral camera and photosensitive sensors, a mathematical modeling and a geographic information system (GIS). It is an innovative approach to the problem of monitoring this type of pollution.

"Financial support of these project from Gdańsk University of Technology by the DEC- 42/2020/IDUB/I.3.3 grant under the ARGENTUM - ‘Excellence Initiative - Research University’ program is gratefully acknowledged."

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Project log

Paweł Burdziakowski
added a research item
One of the most important elements during photogrammetric studies is the appropriate lighting of the object or area under investigation. Nevertheless, the concept of “adequate lighting” is relative. Therefore, we have attempted, based on experimental proof of concept (technology readiness level—TRL3), to verify the impact of various types of lighting emitted by LED light sources for scene illumination and their direct influence on the quality of the photogrammetric study of a 3D urban mock-up. An important issue in this study was the measurement and evaluation of the artificial light sources used, based on illuminance (E), correlated colour temperature (CCT), colour rendering index (CRI) and Spectral power distribution (SPD) and the evaluation of the obtained point clouds (seven photogrammetric products of the same object, developed for seven different lighting conditions). The general values of the quality of the photogrammetric studies were compared. Additionally, we determined seventeen features concerning the group of tie-points in the vicinity of each F-point and the type of study. The acquired traits were related to the number of tie-points in the vicinity, their luminosities and spectral characteristics for each of the colours (red, green, blue). The dependencies between the identified features and the obtained XYZ total error were verified, and the possibility of detecting F-points depending on their luminosity was also analysed. The obtained results can be important in the process of developing a photogrammetric method of urban lighting monitoring or in selecting additional lighting for objects that are the subject of a short-range photogrammetric study.
Paweł Burdziakowski
added a research item
The use of low-level photogrammetry is very broad, and studies in this field are conducted in many aspects. Most research and applications are based on image data acquired during the day, which seems natural and obvious. However, the authors of this paper draw attention to the potential and possible use of UAV photogrammetry during the darker time of the day. The potential of night-time images has not been yet widely recognized, since correct scenery lighting or lack of scenery light sources is an obvious issue. The authors have developed typical day- and night-time photogrammetric models. They have also presented an extensive analysis of the geometry, indicated which process element had the greatest impact on degrading night-time photogrammetric product, as well as which measurable factor directly correlated with image accuracy. The reduction in geometry during night-time tests was greatly impacted by the non-uniform distribution of GCPs within the study area. The calibration of non-metric cameras is sensitive to poor lighting conditions, which leads to the generation of a higher determination error for each intrinsic orientation and distortion parameter. As evidenced, uniformly illuminated photos can be used to construct a model with lower reprojection error, and each tie point exhibits greater precision. Furthermore, they have evaluated whether commercial photogrammetric software enabled reaching acceptable image quality and whether the digital camera type impacted interpretative quality. The research paper is concluded with an extended discussion, conclusions, and recommendation on night-time studies.
Katarzyna Bobkowska
added a project goal
According to the current state of knowledge, an inappropriate use of artificial lighting at night (ALAN) has a number of negative effects on health and life of many organisms.
The main goal of the project is to develop an ALAN monitoring method in natural and urban environments. The basic assumptions for the new method are: the use of unmanned aerial vehicles equipped with a multispectral camera and photosensitive sensors, a mathematical modeling and a geographic information system (GIS). It is an innovative approach to the problem of monitoring this type of pollution.
"Financial support of these project from Gdańsk University of Technology by the DEC- 42/2020/IDUB/I.3.3 grant under the ARGENTUM - ‘Excellence Initiative - Research University’ program is gratefully acknowledged."