Modelling relationship between land use land cover changes, land surface temperature and urban heat island in Indore city of central India

Gohain, Kashyap Jyoti; Goswami, Ajanta; Mohammad, Pir; Kumar, Shashi Bhushan

doi:10.1007/s00704-023-04371-x

Cited by 10 publications

(3 citation statements)

References 57 publications

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“…A significant part of this increase is associated with the human population surge, from 17.7 million (1998) to 40.85 million (2023), which was partly contributed by mass migration from Afghanistan into the region [71]. Moreover, the findings indicated that the expansion of artificial surfaces comes at the expense of vegetation cover, a factor crucial for maintaining equilibrium among land surface and atmospheric parameters [72][73][74]. Recent studies [16,72,75] have argued that transition in LC classes, specifically an extension of artificial surfaces, affects the LST and severely influences the local and regional climate.…”

Section: Discussionmentioning

confidence: 98%

Investigating Land Cover Changes and Their Impact on Land Surface Temperature in Khyber Pakhtunkhwa, Pakistan

Ul Hussan,

Li,

Liu

et al. 2024

Sustainability

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Restoration of degraded land is a significant concern in the 21st century in order to combat the impacts of climate change. For this reason, the provisional government of Khyber Pakhtunkhwa (KPK), Pakistan, initialized a Billion Tree Tsunami Project (BTTP) in 2013 and finished it in 2017. Although a few researchers have investigated the land use transitions under BTTP in the short term by merging all the vegetation types into one, analysis of the long-term benefits of the project and future persistence were missing. Furthermore, the previous studies have not discussed whether the prime objective of the BTTP was achieved. Considering the existing gaps, this research mainly involves analyzing (i) fluctuations in the green fraction by employing a land change modeler (LCM), along with the spatial location of gain-loss and exchange analysis using a high-resolution dataset (GLC30); (ii) forest cover changes under the influence of the BTTP; (iii) impacts of green fraction changes towards land surface temperature (LST) by utilizing the less-explored technique of curve fit linear regression modeling (CFLR); and finally, (iv) assessing the persistence of the NDVI and LST trends by employing the Hurst exponent. Research findings indicate that as an output of BTTP, despite the government’s claim of increasing the forest cover by 2%, a significant gain of grassland (3904.87 km2) was observed at the cost of bare land. In comparison, the overall increase in forest cover was only 0.39%, which does not satisfy the main objective of this project. On the other hand, the CFLRM-based actual contributions of land cover change (LCC) transition to LST indicate a significant decline in LST in the areas with gains in green fraction for both grassland and forest. At the same time, an increase was observed with reverse transitions. Although the results appear positive for climatic impacts in the short term, the HURST model-based persistence analysis revealed that the spatial locations of increasing vegetation and decreasing LST trends fall under the weakly persistent category, therefore these trends may not continue in the near future. Despite some positive impact on LST attributed to the green fraction increase, this project cannot be regarded as a complete success due to its failure to achieve its prime objective.

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Section: Discussionmentioning

confidence: 98%

Investigating Land Cover Changes and Their Impact on Land Surface Temperature in Khyber Pakhtunkhwa, Pakistan

Ul Hussan,

Li,

Liu

et al. 2024

Sustainability

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“…High LST is reported in regions occupied by built-up structures, while low LST is reported in areas of vegetation cover (Li et al 2017 ; Song et al 2021 ). LST has been found to have an impact on land-use management and developmental activities (Gohain et al 2023 ; Guha and Govil 2020 , 2021a ).…”

Section: Introductionmentioning

confidence: 99%

Quantitative assessment of land surface temperature and vegetation indices on a kilometer grid scale

Kikon

Kumar

Ahmed

2023

Environ Sci Pollut Res

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Due to expanding populations and thriving economies, studies into the built environment’s thermal characteristics have increased. This research tracks and predicts how land use and land cover (LULC) changes may affect ground temperatures, urban heat islands, and city thermal fields (UTFVI). The current study examines land surface temperature (LST), urban thermal field variance index (UTFVI), normalized difference built-up index (NDBI), normalized difference vegetation index (NDVI), and land use land cover (LULC) on a kilometer scale. According to the comparative study, the mean LST decreases by 3 °C and the NDVI increases considerably. Correlation analysis showed that LST and NDVI are inversely connected, while LST and NDBI are positively correlated. NDVI and NDBI have a strong negative association, while LST and UTFVI have a positive correlation. Urban planners and environmentalists can study the LST’s effects on land surface parameters in different environmental contexts during the lockout period. The urban heat island (UHI) phenomenon, in which the land surface qualities of an urban region cause a change in the urban thermal environment, forms and intensifies over an urban area. The minimum and maximum LST in grid number 1 in 2009 was 20.30 °C and 29.91 °C, respectively, with a mean LST of 25.1 °C. There was a decline in the minimum and maximum LST in grid number 1 in 2020 with a minimum and maximum LST of 17.31 °C and 25.35 °C, respectively, with a mean LST of 21.33 °C. There was a 3.8 °C drop in the LST of this grid. The minimum and maximum NDVI were also − 0.16 and 0.59, respectively, with an average NDVI value of 0.21. Therefore, it is essential to evaluate and foresee the impact of LULC change on the thermal environment and examines the connection between LULC shifts with subsequent changes in land surface temperature (LST) along with the UHI phenomenon. Maps of the UTFVI reveal positive UHI phenomena, with the highest UTFVI zones occurring over the developed area and none over the adjacent rural territory. During the summer months, the urban area with the strongest UTFVI zone grows noticeably larger than it does during the winter months during the forecasted years. Future policymakers and city planners can mitigate the effects of heat stress and create more sustainable urban environments by evaluating the expected distribution maps of LULC, LST, UHI, and UTFVI.

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“…These ndings align with other studies that have investigated land use changes in other countries over time. For example,Maru et al (2023) reported that the built-up area has increased by 5.3% over 23 years Gohain et al (2023). investigated that settlement land has increased by 28.7% during 5…”

mentioning

confidence: 99%

Coastal wetlands of Indus River Delta are under risk due to reclamation: A spatiotemporal analysis during the past 50 years from 1972 to 2022

Laghari,

Bai,

Leghari

et al. 2023

Preprint

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Coastal wetlands are the most productive and biologically diverse ecosystems, benefiting both human populations and the total environment. However, they are continuously threatened by anthropogenic activities. The Indus River Delta, the 6th largest in the world, has been adversely affected due to reclamation. We examined the spatiotemporal dynamics of coastal wetlands and reclamation in the Indus River Delta from 1972 to 2022. Wetlands conversion to reclamation was extracted from 6-Landsat images. Land cover transfer matrix was used to analyze land use land cover (LULC) changes in different time intervals. Area-weight centroid was constructed to determine the migration trend of reclamation and coastal wetlands. Spatial accurateness was assessed using Producer's Accuracy (PA), User Accuracy (UA), and KAPPA coefficient (KC). Our results reveled that from the 1972 to 2022, the net area of natural wetlands declined by 1.9% (26.1 km2), while reclamation (settlement and cultivated land) increased by 14.7% (200.1 km2), and 27.5% (373.5 km2), respectively. The fastest areal change rate for coastal wetlands was − 1.1 km2/yr from 2012 to 2022, whereas the fastest areal change rate for settlement and cultivated land were 7.6 km2/yr from 1992 to 2002 and 28.6 km2/yr from 2012 to 2022. Centroids of wetlands moved slowly eastwards from Kharo Chan taluka to Keti Bandar in the first and third decades, then southwards in the second decade, later on, westwards in the fourth decade, and finally back southwards from Keti Bandar taluka to the Kharo Chan in the fifth decade with fastest movement. Centroids of settlement expanded slowly in all directions over five decades. Centroids of cultivated land migrated westwards in the first, third, and fourth decades, northwards in the second decade, and southwards in the fifth decade from Keti Bandar to Kharo Chan. The findings of this study would provide a scientific basis for sustainable land development.

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Modelling relationship between land use land cover changes, land surface temperature and urban heat island in Indore city of central India

Cited by 10 publications

References 57 publications

Investigating Land Cover Changes and Their Impact on Land Surface Temperature in Khyber Pakhtunkhwa, Pakistan

Investigating Land Cover Changes and Their Impact on Land Surface Temperature in Khyber Pakhtunkhwa, Pakistan

Quantitative assessment of land surface temperature and vegetation indices on a kilometer grid scale

Coastal wetlands of Indus River Delta are under risk due to reclamation: A spatiotemporal analysis during the past 50 years from 1972 to 2022

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