Investigating Land Surface Temperature Changes Using Landsat Data in Konya, Turkey

Orhan, Osman; Yakar, Murat

doi:10.5194/isprs-archives-xli-b8-285-2016

Cited by 15 publications

(7 citation statements)

References 19 publications

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“…The quantitative analysis has been carried out for the river temperature parameter for the considered stretches and for the stipulated period. The temperature estimation formula is a well-known formula and has been already applied by several researchers across the globe, including India (Avdan and Jovanovska 2016 ; Orhan and Yakar 2016 ; George et al 2017 ; Barbieri et al 2018 ; Rongali et al 2018 ). The river temperature is one of the essential parameters for the sustainable development of the aquatic ecosystem (Wawrzyniak et al 2012 ; Ling et al 2017 ).…”

Section: Discussionmentioning

confidence: 99%

Analysing the change in water quality parameters along river Ganga at Varanasi, Mirzapur and Ghazipur using Sentinel-2 and Landsat-8 satellite data during pre-lockdown, lockdown and post-lockdown associated with COVID-19

et al. 2022

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The proper functioning of the river ecosystem has been symbolised by healthy aquatic life. The river Ganga has shown signs of rejuvenation due to lockdown. In this study, an attempt has been made to analyse the change in river water quality using Sentinel-2 and Landsat-8 imageries. The quantitative analysis has been performed for temperature and normalised difference turbidity index (NDTI). The qualitative analysis has been performed for pH, dissolved oxygen (DO) and total suspended solids (TSSs). Ghazipur, Varanasi and Mirzapur stretches have been selected for this study. In the Ghazipur stretch, the river temperature decreased by 7.14% in May 2020 (lockdown period) as compared to May 2019 (1 year before lockdown). Similarly, in the Varanasi stretch, this decrease has been by 8.62%, and in the Mirzapur stretch, this decrease has been by 12.06% in May 2020 compared to May 2019. For the same period, NDTI in the Ghazipur, Varanasi and Mirzapur stretch has been decreased by 0.22, 0.26 and 0.24, respectively. The pH and DO of the river increased, and TSS decreased for the considered time period. The lockdown during the second wave of the coronavirus disease 2019 was not helpful for river rejuvenation. This study elicited how the behaviour of the parameters changed during the lockdown. Research highlights River Ganga becomes much cleaner in the lockdown period (May 2020) compared to the pre-lockdown time. In the Mirzapur stretch, the temperature decreased most in May 2020 as compared to May 2019. In the Varanasi stretch, there is a maximum variation in the NDTI value in May 2020 in comparison with that of May 2019. The most significant task will be to maintain river conditions during post-lockdown similar to that prevailed during lockdown. In the second wave COVID-19 lockdown the river again became polluted like the pre-COVID times.

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Section: Discussionmentioning

confidence: 99%

Analysing the change in water quality parameters along river Ganga at Varanasi, Mirzapur and Ghazipur using Sentinel-2 and Landsat-8 satellite data during pre-lockdown, lockdown and post-lockdown associated with COVID-19

et al. 2022

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“…The brightness temperature (TB) is the microwave radiation radiance traveling upward from the top of the Earth's atmosphere (Rajeshwari & Mani, 2014). Spectral radiance was converted to brightness temperature (TB) by assuming the Earth's surface is a black body (Orhan & Yakar, 2016). TB for both Landsat-5 and Landsat-8 were calculated by using the following equation (Chander & Markham, 2003):…”

Section: Conversion Of Spectral Radiance (Lλ) To At-satellite Brightness Temperature (Tb)mentioning

confidence: 99%

Impact of land cover change on land surface temperature over Greater Beirut Area – Lebanon

Khyami

2021

jgier

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Remote sensing (RS) technology has been used together with geographic information systems (GIS) to determine the LC types, retrieve LST, and analyze their relationships. The term Greater Beirut Area (GBA) is used to refer to the city of Beirut and its suburbs which witnessed rapid urban growth, after the end of the civil war, in the last decade of the twentieth century, due to the increase in the number of its inhabitants, and the prosperity and development of sectors such as; industrial, trade, tourism, and construction. These factors led to a wide change in the land cover (LC) types and increased land surface temperature LST. The results showed an increase in built-up areas by 29.1%, and agricultural lands by 6%, while bare land, forests, and seawater decreased by 28.5%, 4.9%, and 1.9%, respectively. These changes caused large differences in the LST between built-up areas and other LC types. The highest LST recorded was in built-up areas (33.03°C in 1985, and 34.01°C in 2020), followed by bare lands (32.61 °C in 1985 and 33.49°C in 2020), cropland (31.23°C in 1985 and 32.17°C in 2020), forest (30.08°C in 1985 and 30.47°C in 2020), and water (24.97°C in 1985 and 28.15°C in 2020). Consequently, converting different LC types into built-up areas led to increases in LST and changed microclimate.

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“…Hasil perekaman temperatur lahan oleh sensor termal penginderaan jauh dapat diobservasi di berbagai skala pengamatan, begitu pula dengan distribusinya. Variasi spasial temperatur permukaan lahan atau Land Surface Temperature (LST) secara tidak langsung mencermikan karakteristik wilayah dan dapat digunakan untuk berbagai hal seperti kajian perubahan iklim maupun studi kekotaan (1)(2)(3).…”

Section: Pendahuluanunclassified

Perubahan Temperatur Permukaan Lahan Di Kota Bandung Tahun 2009-2018

Himayah

2019

Jurnal Pendidikan Geografi

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An example of the use of remote sensing technology is the ability to record the same area at different times, term as multi temporal resolution. These advantages can be used to observe dynamic phenomena of the earth's surface such as changes in land surface temperature. The results of land temperature recording by remote sensing thermal sensors can be observed at various observation scales, as well as the distribution. Bandung is the Capital City of the West Java Province which is constantly changing, including in terms of population growth. The uniqueness of the location of the city of Bandung, which is located in the center of the Bandung Basin with variations in the topography of the area, is the basis for conducting research with the aim of: 1) Analyzing changes in land surface temperature in Bandung in 2009 -2018, 2) Analyzing the effect of population growth on changes in land surface temperature in Bandung. This study uses the method of processing infrared and thermal infrared channels to obtain changes in the value of Land Surface Temperature (LST), and statistical analysis of population growth data to be compared. The results of the comparison between statistical data on population growth and LST measurement results show that in theory and concept of population growth has a role in increasing land surface temperature. However, there are other factors that can be considered as causes of rising land surface temperature. Slight population growth but in areas where land use is heavily converted to built land tends to have a high land surface temperature value compared to areas with a significant increase in population but has not converted to much natural land use.

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Investigating Land Surface Temperature Changes Using Landsat Data in Konya, Turkey

Cited by 15 publications

References 19 publications

Analysing the change in water quality parameters along river Ganga at Varanasi, Mirzapur and Ghazipur using Sentinel-2 and Landsat-8 satellite data during pre-lockdown, lockdown and post-lockdown associated with COVID-19

Analysing the change in water quality parameters along river Ganga at Varanasi, Mirzapur and Ghazipur using Sentinel-2 and Landsat-8 satellite data during pre-lockdown, lockdown and post-lockdown associated with COVID-19

Impact of land cover change on land surface temperature over Greater Beirut Area – Lebanon

Perubahan Temperatur Permukaan Lahan Di Kota Bandung Tahun 2009-2018

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