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

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.

[1]  Salvador Bar'a.  Characterizing the zenithal night sky brightness in large territories: how many samples per square kilometre are needed? , 2017, 1705.05788.

[2]  M. Serra-Ricart,et al.  Restoring the night sky darkness at Observatorio del Teide: First application of the model Illumina version 2 , 2020, 2005.14160.

[3]  K. Gaston,et al.  The nature of the diffuse light near cities detected in nighttime satellite imagery , 2019, Scientific Reports.

[4]  Jesús Gallego,et al.  STARS4ALL Night Sky Brightness Photometer , 2017 .

[5]  Kirk Martinez,et al.  Environmental Sensor Networks: A revolution in the earth system science? , 2006 .

[6]  Christian Wolter,et al.  Light pollution as a biodiversity threat. , 2010, Trends in ecology & evolution.

[7]  Guowang Miao,et al.  Fundamentals of Mobile Data Networks , 2016 .

[8]  Christopher D. Elvidge,et al.  City lights and urban air , 2011 .

[9]  W. Kausch,et al.  An atmospheric radiation model for Cerro Paranal - I. The optical spectral range , 2012, 1205.2003.

[10]  Salvador Bará,et al.  Absolute Radiometric Calibration of TESS-W and SQM Night Sky Brightness Sensors , 2019, Sensors.

[11]  Guojin He,et al.  Potentiality of Using Luojia 1-01 Nighttime Light Imagery to Investigate Artificial Light Pollution , 2018, Sensors.

[12]  Margaret Martonosi,et al.  Hardware design experiences in ZebraNet , 2004, SenSys '04.

[13]  M. Serra-Ricart,et al.  Natural Night Sky Brightness during Solar Minimum , 2021, The Astronomical Journal.

[14]  P. Cinzano,et al.  Night Sky Photometry with Sky Quality Meter , 2005 .

[15]  K. Vairamani,et al.  Environmental parameter monitoring using wireless sensor network , 2013 .

[16]  Rodolfo Vera-Amaro,et al.  Design and Analysis of Wireless Sensor Networks for Animal Tracking in Large Monitoring Polar Regions Using Phase-Type Distributions and Single Sensor Model , 2019, IEEE Access.

[17]  Kevin J. Gaston,et al.  Ecological effects of artificial light at night on wild plants , 2016 .

[18]  Shadia Awadallah,et al.  An Internet of Things (IoT) Application on Volcano Monitoring , 2018, Sensors.

[19]  Jonathan Bennie,et al.  The ecological impacts of nighttime light pollution: a mechanistic appraisal , 2013, Biological reviews of the Cambridge Philosophical Society.

[20]  K. Shadan,et al.  Available online: , 2012 .

[21]  C. Elvidge,et al.  The new world atlas of artificial night sky brightness , 2016, Science Advances.

[22]  Davide Strepparava,et al.  Indoor calibration of Sky Quality Meters: Linearity, spectral responsivity and uncertainty analysis , 2016 .

[23]  S. Lewis,et al.  The impact of artificial light at night on nocturnal insects: A review and synthesis , 2018, Ecology and evolution.