Comparison of Land Surface Temperature During and Before the Emergence of Covid-19 using Modis Imagery in Wuhan City, China

Hadibasyir, Hamim Zaky; Rijal, Seftiawan Samsu; Sari, Dewi Ratna

doi:10.23917/forgeo.v34i1.10862

Cited by 37 publications

(34 citation statements)

References 17 publications

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“…Signify the LST results of Hadibasyir et al [11] research, this result found the similar phenomena in Wuhan China, although they used different resolution of satellite imagery. During the lock down policy both areas, Wuhan and Jakarta, experienced the same phenomena.…”

Section: Correlation Of Uhi and Covid-19 Casessupporting

confidence: 71%

“…This study uses surface UHI as a parameter to determine UHI so that image data for obtaining LST values is carried out using LANDSAT-8. Several studies of the same study have also been carried out, such as Hadibasyir et al [11] showing that the average LST value in built-up areas experienced a significant difference in the form of a decrease in the LST value of 1.19 0 C. Research in the United Arab Emirates on the implementation of lockdown was able to reduce the value of the surface urban heat island intensity (SUHII) by 19.2% [12].…”

Section: Introductionmentioning

confidence: 99%

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Assessing urban heat island in Jakarta, Indonesia during the pandemic of Covid-19

Saputra

Ibrahim

Shofirun

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Jakarta, the capital city of Indonesia, is the most populated area in Indonesia, with a population of 10.56 million people or around 3.91% of the total Indonesian population. Jakarta has also become an important city in Indonesia as around 80% of Indonesian economic activity is located in this area. No doubt, the urban activity caused the air pollution to infuriate its microclimate, including the urban heat island phenomena. During the Covid-19 pandemic, Indonesia applied the partial lockdown for several areas to decrease virus transmission. Most of the transportation and commercial areas were closed, and most people worked from home. This significant shifting will affect the temperature and urban heat island conditions. Thus, the main objective of this research was to analyse the urban heat island during the early stage of the pandemic in Jakarta. We used Landsat 8 imagery to extract the land surface temperature (LST) and generated the urban heat island (UHI). The correlation was used to determine the relationship between the distribution of covid-19 cases with the UHI distribution. From the four different recording times (May, July, September, and December 2020) of Landsat 8 imagery, the highest UHI, 7.76°C was found in December 2020 (the late first year of the pandemic). The lowest UHI, 4.91°C was found in May 2020 (The early stage of the first year). Furthermore, the UHI hot spot moved from almost evenly in East Jakarta in May 2020, a tiny spot in East Jakarta in July and September 2020, and evenly distributed in Southeast Jakarta in December 2020. In addition, we found that the increase of covid-19 cases had a positive correlation with the UHI in Jakarta, which means the areas with the high UHI value have high new covid-19 cases. These results showed that the area with high activities is very prone to covid-19 transmission.

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Section: Correlation Of Uhi and Covid-19 Casessupporting

confidence: 71%

Section: Introductionmentioning

confidence: 99%

Assessing urban heat island in Jakarta, Indonesia during the pandemic of Covid-19

Saputra

Ibrahim

Shofirun

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…This implies that identifying land surface temperature contributes to better urban planning and partially prevents increases in temperatures and the urban heat island phenomenon in urban areas. This observation was also made previously by [23,34].…”

Section: Resultssupporting

confidence: 87%

“…Reference [22] reported an overall decrease in LST values in Dehradun City, India, during the post-COVID lockdown time. Another research conducted in Wuhan City, China, by [23] reveals that during the COVID-19, the mean LST was lower than the mean LST of the last three years on the same dates. Meanwhile, during the emergence of COVID-19 without a lockdown strategy, the mean LST was comparatively higher than the mean LST of the last three years.…”

Section: Introductionmentioning

confidence: 92%

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

Taoufik

Laghlimi

Fekri

2021

GaEE

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Land Surface Temperature (LST) is an important variable within global climate change. With the appearance of remote sensing techniques and advanced GIS software, it is now possible to estimate LST. In this study, the effect of lockdown during COVID-19 on the LST was assessed using Landsat 8 Imagery. LST dynamic was investigated for three different periods: Before, during and after the COVID-19 lockdown. The study was conducted in Casablanca City. The results showed that during the emergence of COVID-19 with lockdown policy applied, the LST decreases remarkably compared to the previous 4-years’ average LST. After the easing of restrictions, the LST increased to exceed the previous 4-year mean LST. Furthermore, throughout all studied periods, the LST recorded its higher values in industrial zones and areas with high urban density and urban transportation, which indicates the conspicuous impact of anthropogenic activities on the LST variation. These findings indicate an ability to assess the feasibility of planned lockdowns intended as a potential preventive mechanism to reduce LST peaks and the loss of air quality in metropolitan environments in the future.

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“…The UHI variations during lockdown periods were evaluated as the differences in the mean UHII between the COVID-19 breakout year (i.e., 2020) and the reference period (i.e., 2017-2019). Here, a reference period of 3 years was selected to reduce biases caused by interannual UHI variations (Hadibasyir et al, 2020). Further discussion on possible uncertainties related to the reference period is provided in Text S3 in Supporting Information S1.…”

Section: Analysis Of Uhi Variations During Covid-19 Lockdownmentioning

confidence: 99%

Urban Heat Islands Significantly Reduced by COVID‐19 Lockdown

Liu

Lai

Zhan

et al. 2022

Geophysical Research Letters

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The significant reduction in human activities during COVID‐19 lockdown is anticipated to substantially influence urban climates, especially urban heat islands (UHIs). However, the UHI variations during lockdown periods remain to be quantified. Based on the MODIS daily land surface temperature and the in‐situ surface air temperature observations, we reveal a substantial decline in both surface and canopy UHIs over 300‐plus megacities in China during lockdown periods compared with reference periods. The surface UHI intensity (UHII) is reduced by 0.25 (one S.D. = 0.22) K in the daytime and by 0.23 (0.20) K at night during lockdown periods. The reductions in canopy UHII reach 0.42 (one S.D. = 0.26) K in the daytime and 0.39 (0.29) K at night. These reductions are mainly due to the near‐unprecedented drop in human activities induced by strict lockdown measures. Our results provide an improved understanding of the urban climate variations during the global pandemic.

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Comparison of Land Surface Temperature During and Before the Emergence of Covid-19 using Modis Imagery in Wuhan City, China

Cited by 37 publications

References 17 publications

Assessing urban heat island in Jakarta, Indonesia during the pandemic of Covid-19

Assessing urban heat island in Jakarta, Indonesia during the pandemic of Covid-19

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

Urban Heat Islands Significantly Reduced by COVID‐19 Lockdown

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