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Original Research Article

Geospatial Analysis of Climate-Driven Landscape Change and Urban Expansion: Assessing Human–Environment Interactions, Resource Pressure, and Sustainable Spatial Planning

Amit Kumar Singh

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Amit Kumar Singh Corresponding Author

Department of Geography, G. D. Binani P. G. College, U.P, India

ORCID: 0009-0008-5573-0525

Correspondence: vpamit87@gmail.com

Abstract

The increasing demands and changing features of rapidly expanding cities and the impacts on land cover and the surface energy balance are evident. Yet, urban planners need to differentiate between the changes that have occurred and those which have been predicted. This study offers another geospatial analysis of the Delhi National Capital Region. This study complements previously published studies by the use of remote sensing techniques to retrieve land surface temperatures and studies of urban resource pressures. This study also incorporates land use and land cover studies of the years 2003, 2013 and 2023, which are based on the analysis of the Landsat imagery. The primary land use and land cover study analyzed an area of 13,754 km2 that includes the entirety of the Delhi National Capital Region and portions of the districts of Gurugram, Faridabad, Sonipat, Jhajjar, Ghaziabad, Gautam Buddha Nagar and Ghaziabad. This study also carried out a reanalysis of published land use and land cover maps to compute the absolute and relative changes and the annual growth rates. The area of land cover of built-up land increased from 1,893.64 km2 (13.77%) in 2003 to 3,386.76 km2 (24.62%) in the year 2023, which is an increase of 1,493.12 km (78.85%. CAGR 2.95%). Decreases were observed in the land cover of agricultural land, forests, water bodies and open land. The rate of land cover of built-up land slowed from an annual rate of 4.37% during 2003 to 2013, to an annual rate of 1.55% during the 2013 to 2023 period. The peripheral Shannon Entropy increased from a value of 0.24 to 0.36 during the same periods. The average land surface temperature of built-up land in Delhi, as reported independently of this study, increased by 5.23°C from 36.58°C in the year 2001 to 41.81°C in the year 2021. The integrated findings indicate that land that was previously agricultural and ecological cover has been extensively converted into built-up areas, intensifying surface warming and resource pressure across the urban periphery and underscoring the urgent need for sustainable spatial planning.

Keywords: Delhi–Ncr; Land-Use/Land-Cover Change; Urban Expansion; Land-Surface Temperature; Shannon Entropy; Resource Pressure; Sustainable Spatial Planning
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How to Cite

APA

Singh, A. K. (2026). Geospatial Analysis of Climate-Driven Landscape Change and Urban Expansion: Assessing Human–Environment Interactions, Resource Pressure, and Sustainable Spatial Planning. Journal of Contemporary Academic Research and Methodologies, 1(8), Article 021. https://doi.org/10.5281/zenodo.23280112

MLA

Singh, Amit Kumar. "Geospatial Analysis of Climate-Driven Landscape Change and Urban Expansion: Assessing Human–Environment Interactions, Resource Pressure, and Sustainable Spatial Planning." Journal of Contemporary Academic Research and Methodologies, vol. 1, no. 8, 2026, article 021. DOI: https://doi.org/10.5281/zenodo.23280112

Chicago

Singh, Amit Kumar. "Geospatial Analysis of Climate-Driven Landscape Change and Urban Expansion: Assessing Human–Environment Interactions, Resource Pressure, and Sustainable Spatial Planning." Journal of Contemporary Academic Research and Methodologies 1, no. 8 (2026): 021. https://doi.org/10.5281/zenodo.23280112

References

Avtar, R., Ahmad, S., Rahman, M. M., Alsulamy, S., Meraj, G., Sethi, M., Singh, C. K., & Kharrazi, A. (2025). Impact of urban density on human well-being and sustainable development in Delhi, India. Scientific Reports, 15, 33717. https://doi.org/10.1038/s41598-025-16033-1 IPCC. (2022). Climate Change 2022: Impacts, Adaptation and Vulnerability. Cambridge University Press. https://doi.org/10.1017/9781009325844 Kumar, R. P., Prakash, A., Singh, R., & Kumar, P. (2024). Machine learning-based prediction of hazardous fine PM2.5 concentrations: A case study of Delhi, India. Discover Geoscience, 2(1), 34. https://doi.org/10.1007/s44288-024-00043-z Kushwaha, K., Singh, M. M., Singh, S. K., & Patel, A. (2021). Urban growth modeling using earth observation datasets, cellular automata–Markov chain model and urban metrics to measure urban footprints. Remote Sensing Applications: Society and Environment, 22, 100479. https://doi.org/10.1016/j.rsase.2021.100479 Mohan, M., Sati, A. P., & Bhati, S. (2020). Urban sprawl during five decadal period over National Capital Region of India: Impact on urban heat island and thermal comfort. Urban Climate, 33, 100647. https://doi.org/10.1016/j.uclim.2020.100647 Nahid, S., Kumar, R. P., Acharya, P., Kumar, K., & Purohit, S. (2025). Forecasting urban expansion in Delhi-NCR: Integrating remote sensing, machine learning, and Markov chain simulation for sustainable urban planning. GeoJournal, 90, 72. https://doi.org/10.1007/s10708-025-11317-5 Naikoo, M. W., Rihan, M., Ishtiaque, M., & Shahfahad. (2020). Analyses of land use land cover (LULC) change and built-up expansion in the suburb of a metropolitan city: Spatio-temporal analysis of Delhi NCR using Landsat datasets. Journal of Urban Management, 9(3), 347–359. https://doi.org/10.1016/j.jum.2020.05.004 Petroni, M. L., Siqueira-Gay, J., & Gallardo, A. L. C. F. (2022). Understanding land use change impacts on ecosystem services within urban protected areas. Landscape and Urban Planning, 223, 104404. https://doi.org/10.1016/j.landurbplan.2022.104404 Shahfahad, Kumari, B., Tayyab, M., Thi Hang, H., Khan, M. F., Asgher, M. S., Asif, & Rahman, A. (2022). Prediction of land use changes at a metropolitan city using integrated cellular automata: Past and future. Geology, Ecology, and Landscapes. https://doi.org/10.1080/24749508.2022.2132010 Sharma, S., Nahid, S., Sharma, M., Sannigrahi, S., & Mohammad, M. (2020). A long-term and comprehensive assessment of urbanization-induced impacts on ecosystem services in the capital city of India. City and Environment Interactions, 7, 100047. https://doi.org/10.1016/j.cacint.2020.100047 Singh, B., Venkatramanan, V., & Deshmukh, B. (2022). Monitoring of land use land cover dynamics and prediction of urban growth using land change modeler in Delhi and its environs, India. Environmental Science and Pollution Research, 29(47), 71534–71554. https://doi.org/10.1007/s11356-022-20900-z Singh, R., Biswakarma, P., Joshi, V., Joshi, S., & Chaudhary, A. (2023). Spatiotemporal change analysis of land use/land cover in NCT of Delhi, India using geospatial technology. Proceedings of the Indian National Science Academy, 89(1), 189–200. Talukdar, S., Singha, P., Mahato, S., Pal, S., Liou, Y.-A., & Rahman, A. (2020). Land-use land-cover classification by machine learning classifiers for satellite observations—A review. Remote Sensing, 12(7), 1135. https://doi.org/10.3390/rs12071135 Thi Hang, H., & Alshayeb, M. J. (2025). Technological innovations in urbanization and land surface temperature analysis: A remote sensing and machine learning case study of Delhi. Environmental Technology & Innovation, 38, 104164. https://doi.org/10.1016/j.eti.2025.104164 UN-Habitat. (2022). World Cities Report 2022: Envisaging the Future of Cities. United Nations Human Settlements Programme. Yadav, P. K., Mishra, V. N., Kumari, M., Kumar, A., Kumar, P., & Bhatla, R. (2024). Spatially explicit simulation and forecasting of urban growth using weights of evidence based cellular automata model in a millennium city of India. Physics and Chemistry of the Earth, 136, 103739. https://doi.org/10.1016/j.pce.2024.103739
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ISSN 3139-7247
Tracking ID JCARM_SEP_26_120
Article No. 021
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Article Info
Journal JCARM
Volume Vol 1, No 8
Year 2026
Type Original Research Article
Licence CC BY-NC-SA 4.0
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