Exploring the Relationship Between Spatio-temporal Land Cover Dynamics and Surface Temperature Over Dehradun Urban Agglomeration, India

Nautiyal, Garima; Maithani, Sandeep; Sharma, Archana

doi:10.1007/s12524-021-01323-8

Cited by 9 publications

(7 citation statements)

References 30 publications

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“…The latest studies (Jaiswal et al, 2021 ; Nautiyal et al, 2021 ; Sai Krishna et al, 2017 ) consider the municipal extent and ward definitions given in the district census handbook of 2011. The extent representative of 100 wards in 2018 corresponds to more than 50% of the Dehradun planning area, already considered in multiple studies cited in the “ Introduction ” section.…”

Section: Methodsmentioning

confidence: 99%

“…Saini and Tiwari ( 2017 ) studied the spatio-temporal variation of LST in Dehradun city and its surrounding areas from 1998 to 2017 and assessed LST’s relationship with NDVI during the same period. LCLU maps were extracted using new and existing spectral indices (Piyoosh & Ghosh, 2020 ) and artificial neural network (ANN) (Nautiyal et al, 2021 ) for the Dehradun planning area to study LCLU changes and correlate with LST. Nautiyal et al ( 2021 ) also analysed LST hotspots and studied the variation in human thermal comfort levels.…”

Section: Introductionmentioning

confidence: 99%

“…LCLU maps were extracted using new and existing spectral indices (Piyoosh & Ghosh, 2020 ) and artificial neural network (ANN) (Nautiyal et al, 2021 ) for the Dehradun planning area to study LCLU changes and correlate with LST. Nautiyal et al ( 2021 ) also analysed LST hotspots and studied the variation in human thermal comfort levels. Maithani et al ( 2020 ) studied the effect of the national lockdown due to the Covid-19 pandemic on the spatio-temporal patterns of LST in the Dehradun municipal area by taking Landsat-8 images of April–May 2017, 2018, 2019, and 2020.…”

Section: Introductionmentioning

confidence: 99%

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Assessing variations in land cover-land use and surface temperature dynamics for Dehradun, India, using multi-time and multi-sensor landsat data

Mishra

Garg

2023

Environ Monit Assess

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Rapid urbanisation and industrialisation coupled with overpopulation have altered land cover/land use (LCLU) and surface temperature (ST) patterns in Dehradun. Monitoring these changes through satellite-based remote sensing is required to ensure the sustained development of this ecologically fragile region. Here, LU and ST dynamics of the Dehradun municipal area have been estimated using Landsat-5 datasets for 1991, 1998, and 2008 and Landsat-8 dataset for 2018. LU maps have been extracted using a Gaussian Maximum Likelihood classifier with an overall accuracy of over 88% and Kappa coefficients above 0.85. Results reveal that the urban region expanded by 80.6% in the 27 years while dense vegetation and dry river bed classes have declined sharply. Sparse vegetation has risen by 3 km 2 , whereas bare ground has decreased by about 4.3 km 2 . Mean ST has increased above 9 °C from 1991 to 2018 in every season. A seasonal influence is evident on the mean ST per LU class’s trend, which rose between 8 °C and 12 °C for every LU class, indicating significant warming across each LU class. ST probably has non-linear relationships with its causal factors represented by spectral indices, elevation, and population density. Urban heat island (UHI) formation is thus evinced, promulgating the administration’s urgent action to save the environment and redrawing policies for ambitious projects like smart cities.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Assessing variations in land cover-land use and surface temperature dynamics for Dehradun, India, using multi-time and multi-sensor landsat data

Mishra

Garg

2023

Environ Monit Assess

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“…Geometric, atmospheric and radiometric pre-processing techniques have been used by different researches like Adeyeri et al. (2017) and Nautiyal et al. (2021) .…”

Section: Methodsmentioning

confidence: 99%

A GIS and remote sensing approach for measuring summer-winter variation of land use and land cover indices and surface temperature in Dhaka district, Bangladesh

Sresto¹,

Siddika²,

Fattah³

et al. 2022

Heliyon

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“…Environmental degradation has occurred in Dehradun as a result of the city's uncontrolled expansion, which has had a negative influence on the ecosystem overall and especially in vegetated areas (Gupta and Goyal, 2014). According to Nautiyal et al (2021), there was a rise in Dehradun's average LST of 14.8% between 2000LST of 14.8% between and 2010LST of 14.8% between and 11.8% between 2010LST of 14.8% between and 2019. The primary causes of this rise in LST values were identified as urban densification, urban geometry, and man-made heat sources like air conditioners, transportation, and commercial activity.…”

Section: Introductionmentioning

confidence: 99%

Impacts of urbanization on land use, air quality, and temperature dynamics in Dehradun district of Uttarakhand, India: a comprehensive analysis

Dhankar,

Singh,

Kumar

2024

Front. Environ. Sci.

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The present study investigates the impact of urbanization on land surface temperature and air quality in Dehradun district of the Uttarakhand state in India. We utilized data from LANDSAT, TROPOMI, OMI, MODIS, MOPITT, and CHIRPS, for spatio-temporal and trend analyses along with the assessment of correlation matrix. Our findings revealed a significant increase in the built-up area of Dehradun district in 2023 as compared to 2003. This expansion was particularly prominent in the southern and south-eastern regions of the district. The findings highlight the impact of rapid urban expansion on land use and land cover, leading to a rise in land surface temperature (LST) and the formation of surface urban heat islands (SUHI). Notably, the study reveals distinct spatial and temporal patterns, with lower regions of Dehradun district experiencing higher temperatures and pollutant concentrations due to intensified urbanization. Dehradun city also emerged as a hotspot for nitrogen dioxide within the district. Long-term trends indicate a rise in formaldehyde and nitrogen dioxide, attributed to both urbanization and increasing temperatures, while carbon monoxide levels decrease due to reduced biomass burning and the adoption of cleaner household fuels. Correlation matrix analysis underscores the complex relationships between land use, temperature, and pollutants, with built-up areas exhibiting strong positive correlations with all pollutants. This comprehensive study highlights the importance of sustainable urban planning and management to mitigate the adverse effects of rapid urbanization on air quality and overall environmental health in the Dehradun district.

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Exploring the Relationship Between Spatio-temporal Land Cover Dynamics and Surface Temperature Over Dehradun Urban Agglomeration, India

Cited by 9 publications

References 30 publications

Assessing variations in land cover-land use and surface temperature dynamics for Dehradun, India, using multi-time and multi-sensor landsat data

Assessing variations in land cover-land use and surface temperature dynamics for Dehradun, India, using multi-time and multi-sensor landsat data

A GIS and remote sensing approach for measuring summer-winter variation of land use and land cover indices and surface temperature in Dhaka district, Bangladesh

Impacts of urbanization on land use, air quality, and temperature dynamics in Dehradun district of Uttarakhand, India: a comprehensive analysis

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