Comparison of Land Surface Temperature Before, During and After the Covid‑19 Lockdown  Using Landsat Imagery: A Case Study of Casablanca City, Morocco

Taoufik, Meryem; Laghlimi, Meriem; Fekri, Ahmed

doi:10.7494/geom.2021.15.2.105

Cited by 7 publications

(7 citation statements)

References 25 publications

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“…For example, changes in the anthropogenic heat release related to road traffic emissions and energy consumption for heating and cooling buildings modified the airand land surface temperatures (LST) of cities [7][8][9]. Numerous studies investigated the LST changes during the first lockdown [9][10][11][12] and observed a general decline in mean LST compared with the previous years. For instance, Liu et al [9] found that during the lockdown, the surface urban heat island intensity (SUHII) in China decreased by 0.25 K during the day and 0.23 K at night, and the canopy-layer UHII by 0.42 K during the day and 0.39 K at night, respectively.…”

Section: Introductionmentioning

confidence: 99%

Consideration of Altered Anthropogenic Behavior during the First Lockdown and Its Effects on Air Pollutants and Land Surface Temperature in European Cities

2023

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Substantial reductions in human and economic activities such as road traffic for several months in 2020 were one of the consequences of the Coronavirus pandemic. This unprecedented change in urban metabolism also affected temperature and air pollutants. This study investigates the effects of the first COVID-19 lockdown across 43 cities in Europe. It determines the influence of anthropogenic activities on nitrogen dioxide (NO2), ozone (O3), and particulate matter (PM2.5), as well as on land surface temperature (LST) and the surface urban heat island intensity (SUHII) using satellite, modeled, and mobility data. Our findings show that there are great temporal and spatial differences and distinct patterns between the cities regarding the magnitude of change in the variables under study. In general, the results indicate a substantial decrease in NO2 concentrations in most of the studied cities compared with the reference period of 2015–2019. However, reductions could not be attributed to mobility changes such as less traffic at transit stations, contrary to the results of previous studies. O3 levels increased during the first lockdown in accordance with the decreasing NO2 concentrations. The PM pattern was inconsistent over time and space. Similar to the NO2 results, no relation to the altered mobility behavior was found. No clear signal could be detected for LST and the SUHII, likely due to dominating meteorological influences.

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Section: Introductionmentioning

confidence: 99%

Consideration of Altered Anthropogenic Behavior during the First Lockdown and Its Effects on Air Pollutants and Land Surface Temperature in European Cities

2023

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“…Palermo and Cagliari (cities in southern Italy) were selected as test sites because it was possible to acquire Landsat 8 and Landsat 9 images on the same day and within a suitable time frame. Such open medium-resolution satellite data is preferable for environmental monitoring and climate change studies, as it allows us to estimate many bio-geophysical variables as well as their spatial and temporal variabilities [10,16,[57][58][59][60][61][62][63][64][65]. Measuring and monitoring albedo levels is crucial for addressing issues such as UHI and drought, which are caused by changes in the energy fluxes between land surfaces and the atmosphere [1,3,5,[10][11]18].…”

Section: Discussionmentioning

confidence: 99%

Extracting Land Surface Albedo from Landsat 9 Data in GEE Platform to Support Climate Change Analysis

Barletta,

Capolupo,

Tarantino

2023

GaEE

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Land surface albedo is a relevant variable in many climatic, environmental, and hydrological studies; its monitoring allows researchers to identify changes on the Earth’s surface. The open satellite data that is provided by the USGS/NASA Landsat mission is quite suitable for estimating this parameter through the remote sensing technique. The purpose of this paper is to evaluate the potentialities of the new Landsat 9 data for retrieving Earth’s albedo by applying da Silva et al.’s algorithm (developed in 2016 for the Landsat 8 data) using the Google Earth Engine cloud platform and R software. Two urban areas in Southern Italy with similar geomorphologic and climatic characteristics were chosen as study sites. After obtaining thematic maps of the albedos here, a statistical analysis and comparison among the Landsat 8 and Landsat 9 results was performed considering the entire study areas and each land use/land cover class that is provided by the Copernicus Urban Atlas 2018. This approach was also applied to the data after being filtered through Tukey’s test (used to detect and remove outliers). The analysis showed a very good correlation between the Landsat 8 and Landsat 9 estimations (ρ > 0.94 for both sites), with some exceptions that were related to some mis-corresponding values. Furthermore, the Landsat 8 and Landsat 9 outliers were generally overlapping. In conclusion, da Silva et al.’s approach appears to also be reasonably applicable to the Landsat 9 data despite some radiometric differences.

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“…Studies show that the COVID-19 closure has decreased surface temperatures. Our work evaluated LST variations, just like earlier studies (Arrofiqoh & Setyaningrum, 2021 ; Ghosh et al, 2020 ; Marvi et al, 2021 ; Taoufik et al, 2021 ; Teufel et al, 2021 ) that noted urban temperature changes as a result of COVID-19. We used 14 LANDSAT 8 OLI/TIRS satellite images from 2016 and 2022 to calculate the LST values.…”

Section: Discussionmentioning

confidence: 99%

“…NO 2 , AOD, and SUHII levels were found to be lower (Alqasemi et al, 2021 ). Taoufik et al, 2021 employed Landsat 8 OLI/TIRS long-term data from 2016 to 2020. When the average values were examined, it was discovered that the LST averages at Morocco dropped during the COVID-19 period (Taoufik et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

“…Taoufik et al, 2021 employed Landsat 8 OLI/TIRS long-term data from 2016 to 2020. When the average values were examined, it was discovered that the LST averages at Morocco dropped during the COVID-19 period (Taoufik et al, 2021 ). The impacts of changes in human activities on urban temperature were investigated, as well as the most effective means of establishing the relationship between them.…”

Section: Introductionmentioning

confidence: 99%

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Investigating the relationship between COVID-19 shutdown and land surface temperature on the Anatolian side of Istanbul using large architectural impermeable surfaces

Kuşak

Küçükali

2023

Environ Dev Sustain

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Artificial impermeable surfaces are becoming more prevalent, especially in urban areas, as a result of shifting land use and cover, roads, roofs, etc. The modification of land surface temperature (LST) can also be accomplished through artificially impermeable surfaces. Large artificial impermeable surfaces, such as rooftops, parking lots, and other areas of use, can be found in industrial zones, shopping malls, industrial airports, and other locations. For the Anatolian side of Istanbul, 14 Landsat 8 OLI/TIRS imagery images over the years 2016–2022 were investigated. To evaluate how well the study’s images could be utilized, correlation and cosine similarity approaches were employed. A total of 12 images may be employed for research LST studies, it was discovered. We looked at closure dates during the COVID-19 epidemic to find out how human migration affected the LST. In addition, the LST value was estimated using the ordinary least squares (OLS) method employing LST and other biophysical indices. A decrease in LST values was seen as a result of the investigation. High levels of similarity and correlation were found between the images used. Results from the Google Mobility Index also provide support to the study. All of these facts provide support to Istanbul's Anatolian side experiencing lower surface temperature values, which consequently affects the city's massive structures.

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Comparison of Land Surface Temperature Before, During and After the Covid‑19 Lockdown Using Landsat Imagery: A Case Study of Casablanca City, Morocco

Cited by 7 publications

References 25 publications

Consideration of Altered Anthropogenic Behavior during the First Lockdown and Its Effects on Air Pollutants and Land Surface Temperature in European Cities

Consideration of Altered Anthropogenic Behavior during the First Lockdown and Its Effects on Air Pollutants and Land Surface Temperature in European Cities

Extracting Land Surface Albedo from Landsat 9 Data in GEE Platform to Support Climate Change Analysis

Investigating the relationship between COVID-19 shutdown and land surface temperature on the Anatolian side of Istanbul using large architectural impermeable surfaces

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