scholarly journals SG-WAS: A New Wireless Autonomous Night Sky Brightness Sensor

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5590
Author(s):  
Miguel R. Alarcon ◽  
Marta Puig-Subirà ◽  
Miquel Serra-Ricart ◽  
Samuel Lemes-Perera ◽  
Manuel Mallorquín ◽  
...  
Keyword(s):  
Low Cost ◽  
Field Tests ◽  
Rechargeable Batteries ◽  
Integrating Sphere ◽  
New Approach ◽  
Autonomous Sensor ◽  
Sky Brightness ◽  
Night Sky ◽  
Solar Powered ◽  
Night Sky Brightness

The main features of SG-WAS (SkyGlow Wireless Autonomous Sensor), a low-cost device for measuring Night Sky Brightness (NSB), are presented. SG-WAS is based on the TSL237 sensor –like the Unihedron Sky Quality Meter (SQM) or the STARS4ALL Telescope Encoder and Sky Sensor (TESS)–, with wireless communication (LoRa, WiFi, or LTE-M) and solar-powered rechargeable batteries. Field tests have been performed on its autonomy, proving that it can go up to 20 days without direct solar irradiance and remain hibernating after that for at least 4 months, returning to operation once re-illuminated. A new approach to the acquisition of average NSB measurements and their instrumental uncertainty (of the order of thousandths of a magnitude) is presented. In addition, the results of a new Sky Integrating Sphere (SIS) method have shown the possibility of performing mass device calibration with uncertainties below 0.02 mag/arcsec2. SG-WAS is the first fully autonomous and wireless low-cost NSB sensor to be used as an independent or networked device in remote locations without any additional infrastructure.

scholarly journals Remote Sensing of Aerosols at Night with the CoSQM Sky Brightness Data

2021 ◽  
Author(s):  
Charles Marseille ◽  
Martin Aubé ◽  
Africa Barreto Velasco ◽  
Alexandre Simoneau
Keyword(s):  
Remote Sensing ◽  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Low Cost ◽  
Empirical Relationship ◽  
Important Indicator ◽  
Sky Brightness ◽  
Night Sky ◽  
Remote Sensing Techniques ◽  
Night Sky Brightness

The aerosol optical depth is an important indicator of aerosol particle properties and associated radiative impacts. AOD determination is therefore very important to achieve relevant climate modeling. Most remote sensing techniques to retrieve aerosol optical depth are applicable to daytime given the high level of light available. The night represents half of the time but in such conditions only a few remote sensing techniques are available. Among these techniques, the most reliable are moon photometers and star photometers. In this paper, we attempt to fill gaps in the aerosol detection performed with the aforementioned techniques using night sky brightness measurements during moonless nights with the novel CoSQM: a portable, low cost and open-source multispectral photometer. In this paper, we present an innovative method for estimating the aerosol optical depth by using an empirical relationship between the zenith night sky brightness measured at night with the CoSQM and the aerosol optical depth retrieved at daytime from the AErosol Robotic NETwork. Such a method is especially suited to light-polluted regions with light pollution sources located within a few kilometers of the observation site. A coherent day-to-night aerosol optical depth and Ångström Exponent evolution in a set of 354 days and nights from August 2019 to February 2021 was verified at the location of Santa Cruz de Tenerife on the island of Tenerife, Spain. The preliminary uncertainty of this technique was evaluated using the variance under stable day-to-night conditions, set at 0.02 for aerosol optical depth and 0.75 for Ångström Exponent. These results indicate the set of CoSQM and the proposed methodology appear to be a promising tool to add new information on the aerosol optical properties at night, which could be of key importance to improve climate predictions.

Atmospheric extinction coefficients and night sky brightness at the Xuyi Observation Station

2013 ◽  
Vol 13 (4) ◽  
pp. 490-500 ◽  
Author(s):  
Hui-Hua Zhang ◽  
Xiao-Wei Liu ◽  
Hai-Bo Yuan ◽  
Hai-Bin Zhao ◽  
Jin-Sheng Yao ◽  
...  
Keyword(s):  
Observation Station ◽  
Atmospheric Extinction ◽  
Extinction Coefficients ◽  
Sky Brightness ◽  
Night Sky ◽  
Night Sky Brightness

The night sky brightness at McDonald Observatory

1975 ◽  
Vol 87 ◽  
pp. 869 ◽  
Author(s):  
J. K. Kalinowski ◽  
R. G. Roosen ◽  
J. C. Brandt
Keyword(s):  
Sky Brightness ◽  
Night Sky ◽  
Night Sky Brightness

scholarly journals Night sky brightness monitoring network in Wuxi, China

2021 ◽  
Vol 258 ◽  
pp. 107219
Author(s):  
Hengtao Cui ◽  
Junru Shen ◽  
Yuxuan Huang ◽  
Xinrong Shen ◽  
Chu Wing So ◽  
...  
Keyword(s):  
Monitoring Network ◽  
Sky Brightness ◽  
Night Sky ◽  
Night Sky Brightness
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