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Detection and Assessment of Light Pollution in Erzurum City Using Ground-Based and Satellite Data

Cilt: 7 Sayı: 1 26 Mart 2026
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Detection and Assessment of Light Pollution in Erzurum City Using Ground-Based and Satellite Data

Öz

This study examines the spatial and temporal dynamics of light pollution in Erzurum, Türkiye, by integrating satellite-based VIIRS Night-time Light (NTL) data with ground-based Sky Quality Meter (SQM) observations. A logarithmic regression model was developed to quantify the relationship between radiance and SQM readings at 25 locations in 2021, revealing a strong correlation (R² = 0.722). This confirms that satellite data reliably represent measurements taken directly on-site. By applying the model to VIIRS datasets from 2014, 2021, and January 2025, spatial maps were produced to visualize the increasing trend of artificial lighting. Change detection analysis revealed substantial radiance growth, particularly in the northern and southeastern urban areas. These findings underscore the escalating impact of light pollution and highlight the urgent need for effective mitigation strategies.

Anahtar Kelimeler

Light pollution, Artificial lighting, Suomi NPP VIIRS, Sky quality meter, Regression analysis, Night time light

Kaynakça

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  6. Barentine, J. C., Walczak, K., Gyuk, G., Tarr, C., & Longcore, T. (2021). A case for a new satellite mission for remote sensing of night lights. Remote Sensing, 13(12), Article 2294. https://doi.org/10.3390/rs13122294
  7. Beccali, M., Bonomolo, M., Galatioto, A., & Pulvirenti, E. (2017). Smart lighting in a historic context: A case study. Management of Environmental Quality: An International Journal, 28(2), 282–298.
  8. Bingöl, F. (2022). Erzurum ilinin ışık kirliliği ölçümü [Yüksek lisans tezi, Atatürk Üniversitesi]. YÖK Ulusal Tez Merkezi. https://tez.yok.gov.tr/UlusalTezMerkezi
  9. Blume, C., Garbazza, C., & Spitschan, M. (2019). Effects of light on human circadian rhythms, sleep and mood. Somnologie, 23, 147–156.
  10. Bortle, J. E. (2001). Introducing the Bortle dark-sky scale. Sky & Telescope, 126–129.

Kaynak Göster

APA
Nasıroğlu, İ., Kaba, K., & Bingöl, F. (2026). Detection and Assessment of Light Pollution in Erzurum City Using Ground-Based and Satellite Data. Türk Uzaktan Algılama ve CBS Dergisi, 7(1), 96-108. https://doi.org/10.48123/rsgis.1736546
AMA
1.Nasıroğlu İ, Kaba K, Bingöl F. Detection and Assessment of Light Pollution in Erzurum City Using Ground-Based and Satellite Data. Turk J Remote Sens GIS. 2026;7(1):96-108. doi:10.48123/rsgis.1736546
Chicago
Nasıroğlu, İlham, Kazım Kaba, ve Fuat Bingöl. 2026. “Detection and Assessment of Light Pollution in Erzurum City Using Ground-Based and Satellite Data”. Türk Uzaktan Algılama ve CBS Dergisi 7 (1): 96-108. https://doi.org/10.48123/rsgis.1736546.
EndNote
Nasıroğlu İ, Kaba K, Bingöl F (01 Mart 2026) Detection and Assessment of Light Pollution in Erzurum City Using Ground-Based and Satellite Data. Türk Uzaktan Algılama ve CBS Dergisi 7 1 96–108.
IEEE
[1]İ. Nasıroğlu, K. Kaba, ve F. Bingöl, “Detection and Assessment of Light Pollution in Erzurum City Using Ground-Based and Satellite Data”, Turk J Remote Sens GIS, c. 7, sy 1, ss. 96–108, Mar. 2026, doi: 10.48123/rsgis.1736546.
ISNAD
Nasıroğlu, İlham - Kaba, Kazım - Bingöl, Fuat. “Detection and Assessment of Light Pollution in Erzurum City Using Ground-Based and Satellite Data”. Türk Uzaktan Algılama ve CBS Dergisi 7/1 (01 Mart 2026): 96-108. https://doi.org/10.48123/rsgis.1736546.
JAMA
1.Nasıroğlu İ, Kaba K, Bingöl F. Detection and Assessment of Light Pollution in Erzurum City Using Ground-Based and Satellite Data. Turk J Remote Sens GIS. 2026;7:96–108.
MLA
Nasıroğlu, İlham, vd. “Detection and Assessment of Light Pollution in Erzurum City Using Ground-Based and Satellite Data”. Türk Uzaktan Algılama ve CBS Dergisi, c. 7, sy 1, Mart 2026, ss. 96-108, doi:10.48123/rsgis.1736546.
Vancouver
1.İlham Nasıroğlu, Kazım Kaba, Fuat Bingöl. Detection and Assessment of Light Pollution in Erzurum City Using Ground-Based and Satellite Data. Turk J Remote Sens GIS. 01 Mart 2026;7(1):96-108. doi:10.48123/rsgis.1736546