Using Visible Infrared Imaging Radiometer Suite (VIIRS) Imagery to identify and analyze light pollution

Nurbandi, Wahyu; Yusuf, Febrina Ramadhani; Prasetya, Ruwanda; Afrizal, Mousafi Dimas

doi:10.1088/1755-1315/47/1/012040

Cited by 21 publications

(14 citation statements)

References 2 publications

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“…The nighttime data are from the Visible Infrared Imaging Radiometer Suite (VIIRS)-Day Night Band (DNB) where DNB is in visible band. The radiometric resolution of dataset is up to 14 bits in visible to red wavelengths (0.5 − 0.9µm) with radiation counts around 2 × 10 −9 W cm −2 sr −1 (Nurbandi et al 2016).…”

Section: Artificial Light -Almentioning

confidence: 99%

Global Site Selection for Astronomy

Aksaker

Yerli

Erdoğan

et al. 2020

Monthly Notices of the Royal Astronomical Society

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A global site selection for astronomy was performed with 1 km spatial resolution (∼ 1 Giga pixel in size) using long term and up-to-date datasets to classify the entire terrestrial surface on the Earth. Satellite instruments are used to get the following datasets of Geographical Information System (GIS) layers: Cloud Coverage, Digital Elevation Model, Artificial Light, Precipitable Water Vapor, Aerosol Optical Depth, Wind Speed and Land Use -Land Cover. A Multi Criteria Decision Analysis (MCDA) technique is applied to these datasets creating four different series where each layer will have a specific weight. We introduce for the first time a "Suitability Index for Astronomical Sites" namely, SIAS. This index can be used to find suitable locations and to compare different sites or observatories. Mid-western Andes in South America and Tibetan Plateau in west China were found to be the best in all SIAS Series. Considering all the series, less than 3 % of all terrestrial surfaces are found to be the best regions to establish an astronomical observatory. In addition to this, only approximately 10 % of all current observatories are located in good locations in all SIAS series. Amateurs, institutions or countries aiming to construct an observatory could create a short-list of potential site locations using layout of SIAS values for each country without spending time and budget. The outcomes and datasets of this study has been made available through a web site, namely "Astro GIS Database" on www.astrogis.org.

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Section: Artificial Light -Almentioning

confidence: 99%

Global Site Selection for Astronomy

Aksaker

Yerli

Erdoğan

et al. 2020

Monthly Notices of the Royal Astronomical Society

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“…For example, the silver tier corresponds to Bortle Sky Classes 3-5, and the bronze tier corresponds to classes 5-6 (IDA, 2018). Nurbandi et al (2016) found that radiance values in range of 0.207987× 10 −9~0 .69997×10 −9 W/(cm 2 sr) corresponded to Bortle Sky Class 4, and 23.814596 to 44.069031 W/(cm 2 sr) corresponded to Class 8. Therefore, for the sky darkness to achieve silver level, the radiance value must be less than 1 × 10 −9 W/(cm 2 sr).…”

Section: Technique Process 231 Constraint Conditionmentioning

confidence: 93%

“…It must be determined that the place has not been polluted by artificial nightlights, possesses sufficient conservation value. Some scholars have designed instruments and fieldwork tools specifically for measuring light pollution (Cinzano, 2004;Nurbandi et al, 2016). The determination of sky quality by the IDA depends primarily on the results of fieldwork (IDA, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Siting of Dark Sky Reserves in China Based on Multi-source Spatial Data and Multiple Criteria Evaluation Method

et al. 2019

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With the rapid development of population and urbanization and the progress of lighting technology, the influence of artificial light sources has increased. In this context, the problem of light pollution has attracted wide attention. Previous studies have revealed that light pollution can affect biological living environments, human physical and mental health, astronomical observations and many other aspects. Therefore, organizations internationally have begun to advocate for measures to prevent light pollution, many of which are recognized by the International Dark-Sky Association (IDA). In addition to improving public awareness, legal protections, technical treatments and other means, the construction of Dark Sky Reserves (DSR) has proven to be an effective preventive measure. So far, as a pioneer practice in this field, the IDA has identified 11 DSRs worldwide. Based on the DA requirements for DSRs, this paper utilizes NPP-VIIRS nighttime light data and other multi-source spatial data to analyze possible DSR sites in China. The land of China was divided into more than ten thousand 30 km × 30 km fishnets, and constraint and suitable conditions were designated, respectively, as light and cloud conditions, and scale, traffic and attractiveness conditions. Using a multiple criteria evaluation, 1443 fishnets were finally selected as most suitable sites for the construction of DSRs. Results found that less than 25% of China is not subject to light pollution, and less than 13% is suitable for DSR construction, primarily in western and northern areas, including Tibet,

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“…Gas flares, forest fires, sky glares, light clutters are some prominent factors results in light pollution. Nurbandi et al[4] attempted to estimate the light pollution using VIIRS DNB data. Authors using VIIRS imagery experimented on Yogyakarta province and its surrounding areas namely Yogyakarta City, Depok Beach, and Gajah Mungkur reservoir to determine the light pollution applied over the Bortle Dark-Sky Scale with a value range of 1-9.…”

mentioning

confidence: 99%

A Novel Method to Monitor Electricity Restoration in Orissa Affected by Cyclone Fani using Image Processing with VIIRS DNB Data

Rao,

Baragada*,

et al. 2020

IJRTE

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Due to advances in space technology, certain satellite sensors have unique power of capturing data and also generate special kind of observations. The Day and Night Visible Bands (DNB) of VIIRS Sensor mounted on Suomi NPP Satellite provide useful information in real-time monitoring of restoration of electrification after the trigger of a tropical cyclone. Since the destruction ca used by a tropical cyclone is severe, therefore, both restoration and its monitoring play a vital role for law enforcement agencies. This paper presents a novel method to monitor electricity restoration spatially using image processing with VIIRS DNB data. The proposed method is experimented with the cyclone Fani hit Orissa coast during April-May 2019. To conclude, the work accurately determines the spatial analysis of electrification restoration after a tropical cyclone landfall is occurred

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Using Visible Infrared Imaging Radiometer Suite (VIIRS) Imagery to identify and analyze light pollution

Cited by 21 publications

References 2 publications

Global Site Selection for Astronomy

Global Site Selection for Astronomy

Siting of Dark Sky Reserves in China Based on Multi-source Spatial Data and Multiple Criteria Evaluation Method

A Novel Method to Monitor Electricity Restoration in Orissa Affected by Cyclone Fani using Image Processing with VIIRS DNB Data

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