Land use/land cover change and its impact on surface urban heat island and urban thermal comfort in a metropolitan city

Shahfahad, .; Naikoo, Mohd Waseem; Islam, Abu Reza Md. Towfiqul; Mallick, Javed; Rahman, Atiqur

doi:10.1016/j.uclim.2021.101052

Cited by 134 publications

(34 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the city scale, the intensities of SUHI mostly range between 0 and 5 K [73,80,83,98,126,128,135,168,169], but when comparing the LSTs of impervious surface areas or densely built-up core cities directly to vegetated areas on extremely hot days, the differences can reach up to 7-15 K [72,73,125,142]. Regarding SUHI dynamics, it becomes clear that the LST inside urban areas is increasing at a higher rate than outside the cities, leading to an increase in the SUHI effect in the order of 0.4-0.7 K/decade [92,104,117]. The study by Zhao et al [145] for Zhengzhou City showed a warming rate in terms of LST of 2.72 K in the last three decades, which exceeds the global LST increase in the magnitude of 0.03 K/year [170].…”

Section: Anthropospherementioning

confidence: 99%

“…In these cases, a high spatial resolution outweighs frequent measurements, and observations are often multitemporal at intervals of several years. Examples of this are the studies by [117,123,124,130,167]. The reviewed studies, which used Landsat data in a non-urban context, were mostly on the local scale, benefiting from Landsat's high spatial resolution.…”

Section: Employed Sensorsmentioning

confidence: 99%

See 1 more Smart Citation

Satellite-Derived Land Surface Temperature Dynamics in the Context of Global Change—A Review

2023

View full text Add to dashboard Cite

Satellite-derived Land Surface Temperature (LST) dynamics have been increasingly used to study various geophysical processes. This review provides an extensive overview of the applications of LST in the context of global change. By filtering a selection of relevant keywords, a total of 164 articles from 14 international journals published during the last two decades were analyzed based on study location, research topic, applied sensor, spatio-temporal resolution and scale and employed analysis methods. It was revealed that China and the USA were the most studied countries and those that had the most first author affiliations. The most prominent research topic was the Surface Urban Heat Island (SUHI), while the research topics related to climate change were underrepresented. MODIS was by far the most used sensor system, followed by Landsat. A relatively small number of studies analyzed LST dynamics on a global or continental scale. The extensive use of MODIS highly determined the study periods: A majority of the studies started around the year 2000 and thus had a study period shorter than 25 years. The following suggestions were made to increase the utilization of LST time series in climate research: The prolongation of the time series by, e.g., using AVHRR LST, the better representation of LST under clouds, the comparison of LST to traditional climate change measures, such as air temperature and reanalysis variables, and the extension of the validation to heterogenous sites.

show abstract

Section: Anthropospherementioning

confidence: 99%

Section: Employed Sensorsmentioning

confidence: 99%

Satellite-Derived Land Surface Temperature Dynamics in the Context of Global Change—A Review

2023

View full text Add to dashboard Cite

show abstract

“…Several studies on LULC classifications have been done using machine learning algorithms in recent times (Shahfahad et al, 2022;Zhou et al, 2021;Singh et al, 2021;Chachondhia et al, 2021;Talukdar et al, 2020). Further studies have been done to compare the performance of different satellite sensors in LULC classification such as Sentinel-2 and Landsat 8 (Ghayour et al, 2021), TerraSAR-X, Radarsat-2 and Envisat-ASAR datasets (Hütt et al, 2016), ResourceSat-1, Landsat 5 and Landsat 7 (Chander et al, 2008) etc.…”

Section: Introductionmentioning

confidence: 99%

Comparative evaluation of operational land imager sensor on board landsat 8 and landsat 9 for land use land cover mapping over a heterogeneous landscape

Shahfahad

Talukdar

Naikoo

et al. 2023

Geocarto International

Self Cite

View full text Add to dashboard Cite

Since its advent in 1972, the Landsat satellites have witnessed consistent improvements in sensor characteristics, which have significantly improved accuracy. In this study, a comparison of the accuracy of Landsat OLI and OLI-2 satellites in land use land cover (LULC) mapping has been made. For this, image fusion techniques have been applied to enhance the spatial resolution of both OLI and OLI-2 multispectral images, and then a support vector machine (SVM) classifier has been used for LULC mapping. The results show that LULC classification from OLI-2 has better accuracy (83.4%) than OLI (92.4%). The validation of classified LULC maps shows that the OLI-2 data is more accurate in distinguishing dense and sparse vegetation as well as darker and lighter objects. The relationship between LULC maps and surface biophysical parameters using Local Moran's I also shows better performance of the OLI-2 sensor in LULC mapping than the OLI sensor.

show abstract

“…A recent study found that the annual average temperature of a city with a population of over one million is between 1 and 3 K higher than that of the surrounding rural areas (Khamchiangta and Dhakal 2019 ). There are numerous studies (Abrar et al 2022 ; Liou et al 2021 ; Shahfahad et al 2022 ) on the evolution of temperatures and the risk of exposure to heat in various urban areas of the planet that report significant increases in temperatures which, in turn, increase the index of heat stress minimizing thermal comfort. Therefore, it is proved that the UHI is known to generate a series of environmental, climatic and socioeconomic problems that affect the quality of life of urban inhabitants (Dwivedi and Mohan 2018 ; Macintyre et al 2018 ; Rozos et al 2013 ).…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal analysis of the surface urban heat island (SUHI), air pollution and disease pattern: an applied study on the city of Granada (Spain)

García

Arco-Díaz

2023

Environ Sci Pollut Res

View full text Add to dashboard Cite

There is worldwide concern about how climate change —which involves rising temperatures— may increase the risk of contracting and developing diseases, reducing the quality of life. This study provides new research that takes into account parameters such as land surface temperature (LST), surface urban heat island (SUHI), urban hotspot (UHS), air pollution (SO2, NO2, CO, O3 and aerosols), the normalized difference vegetation index (NDVI), the normalized difference building index (NDBI) and the proportion of vegetation (PV) that allows evaluating environmental quality and establishes mitigation measures in future urban developments that could improve the quality of life of a given population. With the help of Sentinel 3 and 5P satellite images, we studied these variables in the context of Granada (Spain) during the year 2021 to assess how they may affect the risk of developing diseases (stomach, colorectal, lung, prostate and bladder cancer, dementia, cerebrovascular disease, liver disease and suicide). The results, corroborated by the statistical analysis using the Data Panel technique, indicate that the variables LST, SUHI and daytime UHS, NO2, SO2 and NDBI have important positive correlations above 99% (p value: 0.000) with an excess risk of developing these diseases. Hence, the importance of this study for the formulation of healthy policies in cities and future research that minimizes the excess risk of diseases.

show abstract

Land use/land cover change and its impact on surface urban heat island and urban thermal comfort in a metropolitan city

Cited by 134 publications

References 70 publications

Satellite-Derived Land Surface Temperature Dynamics in the Context of Global Change—A Review

Satellite-Derived Land Surface Temperature Dynamics in the Context of Global Change—A Review

Comparative evaluation of operational land imager sensor on board landsat 8 and landsat 9 for land use land cover mapping over a heterogeneous landscape

Spatiotemporal analysis of the surface urban heat island (SUHI), air pollution and disease pattern: an applied study on the city of Granada (Spain)

Contact Info

Product

Resources

About