Evaluation from Rural to Urban Scale for the Effect of NDVI-NDBI Indices on Land Surface Temperature, in Samsun, Türkiye
Yıl: 2022 Cilt: 10 Sayı: 12 Sayfa Aralığı: 2446 - 2452 Metin Dili: İngilizce DOI: 10.24925/turjaf.v10i12.2446-2452.5535 İndeks Tarihi: 23-05-2023
Evaluation from Rural to Urban Scale for the Effect of NDVI-NDBI Indices on Land Surface Temperature, in Samsun, Türkiye
Öz: In this study, in order to evaluate the change of LST from rural to urban scale in 20 years, a zoonal statistical analysis was performed by separating the urban and rural districts located on the coastline. Algorithms were applied to the raw data of Landsat 8 and Landsat 7 satellite images, using the Arc Gis 10.2 and Q Gis 3.16 utilities. In this way, NDVI, NDBI and LST data were compared and evaluated in terms of rural and urban districts. The correlation coefficient between the parameters was calculated. In the study, the land change between the years 2000-2020 was also determined to reveal the land change. As a result of the analyzes made, the amount of green areas decreased by 14.1% between 2000 and 2020 in the study area, which includes the central districts of Samsun, İlkadım and Atakum, and in the rural areas, Bafra and Ondokuz Mayıs. It has been observed that this rate is shared as 7.1% in built up areas and 7.33% in bare soil areas. Considering the effect of the decrease in green areas on the LST value, in 2000, max. While LST is 41.75 C, in 2020 max. It is seen that LST has increased to 43.44 C. When the districts were analyzed separately, it was seen that LST established a strong correlation with NDBI (positive) and NDVI (negative) for all four districts. However, the correlation was stronger in rural districts. It was observed that the correlation strength weakened in urban districts due to heterogeneous land surface cover.
Anahtar Kelime: Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
- AK, 2013. Atakum Kaymakamlığı (AK). Değişirken, Gelişen Atakum. Available from https://www.atakum.gov.tr. [Accessed 05 June 2022].
- Akinbobola A. 2019. Simulating land cover changes and their impacts on land surface temperature in Onitsha, South East Nigeria. Atmospheric and Climate Sciences, 9(02): 243. https://doi.org/10.4236/acs.2019.92017
- Akinyemi FO, Ikanyeng M, Muro J. 2019. Land cover change effects on land surface temperature trends in an African urbanizing dryland region. City and environment interactions, 4, 100029. https://doi.org/10.1016/j.cacint.2020.100029
- AlAdemomi AS, Okolie CJ, Daramola OE, Agboola RO, Salami TJ. 2020. Assessing the relationship of LST, NDVI and EVI with land cover changes in the Lagos Lagoon environment. Quaestiones Geographicae, 39(3): 87-109. https://doi.org/10. 2478/quageo-2020-0025.
- Alademomi AS, Okolie CJ, Daramola OE, Akinnusi SA, Adediran E, Olanrewaju HO, Odumosu J. 2022. The interrelationship between LST, NDVI, NDBI, and land cover change in a section of Lagos metropolis, Nigeria. Applied Geomatics, 14(2): 299-314. https://doi.org/10.1007/s12518- 022-00434-2
- Artis DA, Carnahan WH. 1982. Survey of emissivity variability in thermography of urban areas. Remote Sensing of Environment, 12(4): 313-329. https://doi.org/10.1016/0034- 4257(82)90043-8
- Baģci H, Bahadır M. 2019. Land use and temporal change in Kızılırmak Delta (Samsun) (1987-2019). Journal of Academic Social Science Studies (78): 295-312. doi.10.9761/JASSS40162
- Benesty J, Chen J, Huang Y, Cohen I. 2009. Pearson Correlation Coefficient. In: Noise Reduction in Speech Processing. Springer Topics in Signal Processing, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00296-0_5
- Carlson TN, Ripley DA. 1997. On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sensing of Environment, 62(3): 241-252. doi: https://doi.org/ 10.1016/S0034-4257(97)00104-1.
- Change IC. 2019. Land: An IPCC Special Report on Climate Change. Desertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse Gas Fluxes in Terrestrial Ecosystems, 1-864.
- Congedo L. 2016. Semi-Automatic Classification Plugin: A Python tool for the download and processing of remote sensing images in QGIS. Journal of Open-Source Software, 6(64): 3172, https://doi.org/10.21105
- Çelik B. 2019. Arazi örtüsü değişimlerinin kentsel ısı adalarına olan etkilerinin zamansal ve mekansal olarak araştırılması (Spatio-temporal analyses of land cover changes and its impacts on urban heat islands). İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, Doktora Tezi (PhD.), 140 s., İstanbul, Türkiye. (In Turkish)
- Das N, Mondal P, Sutradhar S, Ghosh R. 2021. Assessment of variation of land use/landcover and its impact on land surface temperature of Asansol subdivision. The Egyptian Journal of Remote Sensing and Space Science, 24(1): 131-149. https://doi.org/10.1016/j.ejrs.2020.05.001
- Guha S, Govil H, Dey A, Gill N. 2018. Analytical study of land surface temperature with NDVI and NDBI using Landsat 8 OLI and TIRS data in Florence and Naples city, Italy. European Journal of Remote Sensing, 51(1): 667-678. https://doi.org/10.1080/22797254.2018.1474494
- Ghouri AY, Khan A, Rasheed F. 2022). Monitoring The Land Surface Temperature and Its Correlation with NDVI of Chiniot by Using GIS Technology and Remote Sensing. Eart and Envi Scie Res & Rev. 5(2): 01, 9. https://doi.org/10.21203/rs.3.rs-1468097/v1
- Guler M, Cemek B, Gunal H. 2007. Assessment of some spatial climatic layers through GIS and statistical analysis techniques in Samsun Turkey. Meteorological Applications: A journal of forecasting, practical applications, training techniques and modelling, 14(2): 163-169. https://doi.org/10.1002/met.18
- Jimenez-Munoz JC, Cristobal J, Sobrino JA, Soria G, Ninyerola M, Pons X. 2009. Revision of the Single-Channel Algorithm for Land Surface Temperature Retrieval from Landsat Thermal-Infrared Data. IEEE Transactions on Geoscience and Remote Sensing, 47(1): 339-349. doi:10.1109/TGRS.2008.2007125
- Karabulut M, Gürbüz M, Korkmaz H. 2008. Precipitation and temperature trend analyses in Samsun. Journal International Environmental Application & Science, 3(5): 399-408.
- Khalis H, Sadiki A, Jawhari F, Mesrar H, Azab E, Gobouri AA, Bourhia M. 2021. Effects of Climate Change on Vegetation Cover in the Oued Lahdar Watershed. Northeastern Morocco. Plants, 10(8): 1624. https://doi.org/10.3390/plants10081624
- Kulsum U, Moniruzzaman M. 2022. Exploring the relationship of climate change and land-use dynamics with satellite-derived surface indices and temperature in greater Dhaka, Bangladesh. Journal of Earth System Science, 131(2): 1-15. https://doi.org/10.1007/s12040-022-01841-0
- Mao K, Qin Z, Shi J, Gong P. 2005. A practical split window algorithm for retrieving land surface temperature from MODIS data. International Journal of Remote Sensing, 26(15): 3181-3204. doi:10.1080/01431160500044713
- Oguz H. 2013. LST calculator: A program for retrieving land surface temperature from Landsat TM/ETM+ imagery. Environmental Engineering and Management Journal, 12(3): 549-555.
- Oke TR. 1982. The energetic basis of the urban heat island. Quarterly Journal of the Royal Meteorological Society, 108(455): 1-24.
- Oleson KW, Bonan GB, Feddema J, Jackson T. 2011. An examination of urban heat island characteristics in a global climate model. International Journal of Climatology, 31(12): 1848-1865. https://doi.org/10.1002/joc.2201
- Ozturk D. 2017. Assessment of urban sprawl using Shannon’s entropy and fractal analysis: a case study of Atakum, Ilkadim and Canik (Samsun, Turkey). Journal of environmental engineering and landscape management, 25(3): 264-276. https://doi.org/10.3846/16486897.2016.1233881
- Pielke Sr RA. 2005. Land use and climate change. Science, 310(5754): 1625-1626. doi: 10.1126/science.1120529
- Qin Z, Karnieli A, Berliner P. 2001. A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region. International Journal of Remote Sensing, 22(18): 3719-3746. doi:10.1080/01431160010006971
- Roth M. 2007. Review of urban climate research in (sub) tropical regions. International Journal of Climatology: A Journal of the Royal Meteorological Society, 27(14): 1859-1873. https://doi.org/10.1002/joc.1591
- SBB, 2014. Samsun Büyükşehir Belediyesi (SBB). 2014 raporu. 2015-2019 Stratejik Planı. Available from https://samsun.bel.tr. [Accessed 06 June 2021].
- Sekertekin A, Bonafoni S. 2020. Land surface temperature retrieval from Landsat 5, 7, and 8 over rural areas: assessment of different retrieval algorithms and emissivity models and toolbox implementation. Remote Sensing, 12(2): 294. https://doi.org/10.3390/rs12020294
- SİTOM, 2007. Samsun İl Tarım ve Orman Müdürlüğü (SİTOM). Samsun İlinin Fiziki Durumu ve Avantajları. Available from https://samsun.tarimorman.gov.tr [Accessed 01 July 2022].
- SKTM, 2020. Samsun İl Kültür ve Turizm Müdürlüğü (SKTM). Available from: https://samsun.ktb.gov.tr/ [Accessed 10.04.2020].
- Sobrino JA, Raissouni N, Li ZL. 2001. A Comparative Study of Land Surface Emissivity Retrieval from NOAA Data. Remote Sensing of Environment, 75(2): 256-266. doi: https://doi.org/10.1016/S0034-4257(00)00171-1
- TÜİK, 2020. Türkiye İstatistik Kurumu (TÜİK). İstatistik göstergeler. Available from https://data.tuik.gov.tr/Bulten/ Adrese-Dayali-Nufus-Kayit-Sistemi-Sonuclari-2020-37210 [Accessed 02 May 2021].
- USGS, 2020. United States Geological Survey (USGS). Earth Explorer. Available from https://earthexplorer.usgs.gov/ [Accessed on 10 January 2020].
- Ülke A, Özkoca T. 2018. Sinop, Ordu ve Samsun illerinin sıcaklık verilerinde trend analizi. (Trend Analyses of Temperature Data of Sinop, Ordu and Samsun Provinces) Gümüşhane Üniversitesi Fen Bilimleri Dergisi, 8(2): 455-463. (ın Turkish) https://doi.org/10.17714/gumusfenbil.351294
- Weng Q, Yang S. 2004. Managing the adverse thermal effects of urban development in a densely populated Chinese city. Journal of Environmental management, 70(2): 145-156. https://doi.org/10.1016/j.jenvman.2003.11.006
- Yale 2020. Yale University. Center for Earth Observation. Landsat. Avaiable from https://yceo.yale.edu/ [Accessed 01.08.2020].
- Yu X, Guo X, Wu Z. 2014. Land Surface Temperature Retrieval from Landsat 8 TIRS—Comparison between Radiative Transfer Equation-Based Method, Split Window Algorithm and Single Channel Method. Remote Sensing, 6(10). doi:10.3390/rs6109829
| APA | Cevik Degerli B, cetin m (2022). Evaluation from Rural to Urban Scale for the Effect of NDVI-NDBI Indices on Land Surface Temperature, in Samsun, Türkiye. , 2446 - 2452. 10.24925/turjaf.v10i12.2446-2452.5535 |
| Chicago | Cevik Degerli Burcu,cetin mehmet Evaluation from Rural to Urban Scale for the Effect of NDVI-NDBI Indices on Land Surface Temperature, in Samsun, Türkiye. (2022): 2446 - 2452. 10.24925/turjaf.v10i12.2446-2452.5535 |
| MLA | Cevik Degerli Burcu,cetin mehmet Evaluation from Rural to Urban Scale for the Effect of NDVI-NDBI Indices on Land Surface Temperature, in Samsun, Türkiye. , 2022, ss.2446 - 2452. 10.24925/turjaf.v10i12.2446-2452.5535 |
| AMA | Cevik Degerli B,cetin m Evaluation from Rural to Urban Scale for the Effect of NDVI-NDBI Indices on Land Surface Temperature, in Samsun, Türkiye. . 2022; 2446 - 2452. 10.24925/turjaf.v10i12.2446-2452.5535 |
| Vancouver | Cevik Degerli B,cetin m Evaluation from Rural to Urban Scale for the Effect of NDVI-NDBI Indices on Land Surface Temperature, in Samsun, Türkiye. . 2022; 2446 - 2452. 10.24925/turjaf.v10i12.2446-2452.5535 |
| IEEE | Cevik Degerli B,cetin m "Evaluation from Rural to Urban Scale for the Effect of NDVI-NDBI Indices on Land Surface Temperature, in Samsun, Türkiye." , ss.2446 - 2452, 2022. 10.24925/turjaf.v10i12.2446-2452.5535 |
| ISNAD | Cevik Degerli, Burcu - cetin, mehmet. "Evaluation from Rural to Urban Scale for the Effect of NDVI-NDBI Indices on Land Surface Temperature, in Samsun, Türkiye". (2022), 2446-2452. https://doi.org/10.24925/turjaf.v10i12.2446-2452.5535 |
| APA | Cevik Degerli B, cetin m (2022). Evaluation from Rural to Urban Scale for the Effect of NDVI-NDBI Indices on Land Surface Temperature, in Samsun, Türkiye. Türk Tarım - Gıda Bilim ve Teknoloji dergisi, 10(12), 2446 - 2452. 10.24925/turjaf.v10i12.2446-2452.5535 |
| Chicago | Cevik Degerli Burcu,cetin mehmet Evaluation from Rural to Urban Scale for the Effect of NDVI-NDBI Indices on Land Surface Temperature, in Samsun, Türkiye. Türk Tarım - Gıda Bilim ve Teknoloji dergisi 10, no.12 (2022): 2446 - 2452. 10.24925/turjaf.v10i12.2446-2452.5535 |
| MLA | Cevik Degerli Burcu,cetin mehmet Evaluation from Rural to Urban Scale for the Effect of NDVI-NDBI Indices on Land Surface Temperature, in Samsun, Türkiye. Türk Tarım - Gıda Bilim ve Teknoloji dergisi, vol.10, no.12, 2022, ss.2446 - 2452. 10.24925/turjaf.v10i12.2446-2452.5535 |
| AMA | Cevik Degerli B,cetin m Evaluation from Rural to Urban Scale for the Effect of NDVI-NDBI Indices on Land Surface Temperature, in Samsun, Türkiye. Türk Tarım - Gıda Bilim ve Teknoloji dergisi. 2022; 10(12): 2446 - 2452. 10.24925/turjaf.v10i12.2446-2452.5535 |
| Vancouver | Cevik Degerli B,cetin m Evaluation from Rural to Urban Scale for the Effect of NDVI-NDBI Indices on Land Surface Temperature, in Samsun, Türkiye. Türk Tarım - Gıda Bilim ve Teknoloji dergisi. 2022; 10(12): 2446 - 2452. 10.24925/turjaf.v10i12.2446-2452.5535 |
| IEEE | Cevik Degerli B,cetin m "Evaluation from Rural to Urban Scale for the Effect of NDVI-NDBI Indices on Land Surface Temperature, in Samsun, Türkiye." Türk Tarım - Gıda Bilim ve Teknoloji dergisi, 10, ss.2446 - 2452, 2022. 10.24925/turjaf.v10i12.2446-2452.5535 |
| ISNAD | Cevik Degerli, Burcu - cetin, mehmet. "Evaluation from Rural to Urban Scale for the Effect of NDVI-NDBI Indices on Land Surface Temperature, in Samsun, Türkiye". Türk Tarım - Gıda Bilim ve Teknoloji dergisi 10/12 (2022), 2446-2452. https://doi.org/10.24925/turjaf.v10i12.2446-2452.5535 |
