Abstract
Urbanization, particularly in peri-urban areas, often results in critically transforming the regional land use and land cover (LULC). The increased built-up in peri-urban areas affects the regional accessibility of residents of urban clusters to requisite amenities and severely affects the regional environment, as observed in the case of Jammu district situated in the foothills of the Indian Himalayas. The present study is aimed at assessing the rise of urban sprawls in Jammu district over the past two decades and how the urbanization has affected the lag in the number of amenities corresponding to the urban growth based on qualitative parameters. Further, a parameterization scheme is developed to assess the amenities quality. A comparison is made with Indore, a planned smart city, to assess the status of urbanization and residential quality based on an amenity index. The study also investigates the indifferences observed in some of the climate variables in the urban and sub-urban settings of the Jammu district. The investigation is conducted through a multi-ring buffer analysis approach utilizing the land use land cover (LULC) products based on Landsat 8/7 satellite imagery of 2002, 2013, and 2021. The indifferences in the settings are analyzed using MODIS aerosol optical depth (AOD) and land surface temperature (LST) products. The analysis leads to determination of critical urban parameters including the urban area, density, and growth rate, revealing significant urbanization at 25–27 km from the city center. Significant indifferences are observed in urban and sub-urban areas indicating higher rise in LST and AOD, particularly in the recent decade. These investigations provide critical information to urban and climate solution authorities for planning and management, particularly in critically endangered areas.
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Data availability
The Landsat datasets used in this study are freely available from the USGS portal https://earthexplorer.usgs.gov/ and the amenities database can be accessed through the Google Earth platform at https://earth.google.com/.
References
Abu Hatab A, Cavinato MER, Lindemer A, Lagerkvist C-J (2019) Urban sprawl, food security and agricultural systems in developing countries. A systematic review of the literature. Cities 94(2):129–142. https://doi.org/10.1016/j.cities.2019.06.001
Ahmad Andrabi J (2018) A spatio-temporal changes in cropping pattern and cropping intensity in agriculture to get a business profit in Jammu and Kashmir. BIRCI 1(4):16–24. https://doi.org/10.33258/birci.v1i4.85
Ahmed F, Ali I, Kousar S, Ahmed S (2022) The environmental impact of industrialization and foreign direct investment. Empirical evidence from Asia-Pacific region. Environ Sci Pollut Res Int 29(20):29778–29792. https://doi.org/10.1007/s11356-021-17560-w
Al-Bilbisi H (2019) Spatial monitoring of urban expansion using satellite remote sensing images. A case study of Amman City, Jordan. Sustainability 11(8):2260. https://doi.org/10.3390/su11082260
Andrabi JA (2020) Changing patterns of population density in the Jammu and Kashmir. Konfrontasi 7(4):315–321. https://doi.org/10.33258/konfrontasi2.v7i4.129
Anees MM, Mann D, Sharma M, Banzhaf E, Joshi PK (2020) Assessment of urban dynamics to understand spatiotemporal differentiation at various scales using remote sensing and geospatial tools. Remote Sens 12(8):1306. https://doi.org/10.3390/rs12081306
Asgher MS, Kumar N, Kumari M, Ahmad M, Sharma L, Naikoo MW (2022) Groundwater potential mapping of Tawi River basin of Jammu District, India, using geospatial techniques. Environ Monit Assess 194(3):240. https://doi.org/10.1007/s10661-022-09841-9
Awasthi S, Varade D, Bhattacharjee S, Singh H, Shahab S, Jain K (2022) Assessment of land deformation and the associated causes along a rapidly developing Himalayan foothill region using multi-temporal Sentinel-1 SAR datasets. Land 11(11):2009. https://doi.org/10.3390/land11112009
Ayudyanti AG, Hidayati IN (2021) Impact of optical aerosol depth (AOD) on light pollution level. A spatio-temporal analysis. IOP Conf Ser : Earth Environ Sci 884(1):12037. https://doi.org/10.1088/1755-1315/884/1/012037
Bazai MH, Panezai S (2020) Assessment of urban sprawl and land use change dynamics through GIS and remote sensing in Quetta, Balochistan, Pakistan. J Geogr Soc Sci 2(1):31–50
Bhat GM, Kundal SN, Pandita SK, Prasad GVR (2008) Depositional origin of tuffaceous units in the Pliocene Upper Siwalik Subgroup Jammu (India) NW Himalaya. Geol Mag 145(2):279–294. https://doi.org/10.1017/S0016756807003998
Bibri SE, Krogstie J, Kärrholm M (2020) Compact city planning and development. Emerging practices and strategies for achieving the goals of sustainability. Dev Built Environ 4(3):100021. https://doi.org/10.1016/j.dibe.2020.100021
Bokova IG (2016) Culture: urban future Global report on culture for sustainable urban development. UNESCO, Paris
Boori MS, Netzband M, Choudhary K, Voženílek V (2015) Monitoring and modeling of urban sprawl through remote sensing and GIS in Kuala Lumpur, Malaysia. Ecol Process 4(1):575. https://doi.org/10.1186/s13717-015-0040-2
Breiman L, Friedman JH, Olshen RA, Stone CJ (2017) Classification and regression trees (1st ed). Routledge, New York. https://doi.org/10.1201/9781315139470
Cappelli F, Guastella G, Pareglio S (2021) Urban sprawl and air quality in European cities. An empirical assessment. Working Paper, No. 007.2021, Fondazione Eni Enrico Mattei (FEEM), Milano. http://hdl.handle.net/10419/233092
Carter JG, Cavan G, Connelly A, Guy S, Handley J, Kazmierczak A (2015) Climate change and the city. Building capacity for urban adaptation. Progress Plann 95(7):1–66. https://doi.org/10.1016/j.progress.2013.08.001
Cheela VS, Ranjan VP, Goel S, John M, Dubey B (2021) Pathways to sustainable waste management in Indian Smart Cities. J Urban Manag 10(4):419–429. https://doi.org/10.1016/j.jum.2021.05.002
Cicerone RJ, Barron EJ, Dickinson RE, Fung IY, Hansen JE, Thomas KR, Lindzen RS, McWilliams JC, Sherwood RF, Sarachik ES, Wallace JM (2001) Climate change science. An analysis of some key questions. National Academies Press, Washington, D.C
Congalton RG, Green K (2019) Assessing the accuracy of remotely sensed data. Principles and practices, 3 ed, CRC Press, Taylor et Francis Group, Boca Raton, London, New York
El Garouani A, Mulla DJ, El Garouani S, Knight J (2017) Analysis of urban growth and sprawl from remote sensing data case of Fez, Morocco. Int J Sustain Built Environ 6(1):160–169. https://doi.org/10.1016/j.ijsbe.2017.02.003
Ewing RH (2008) Characteristics, causes, and effects of sprawl: a literature review. In: Marzluff JM, Shulenberger E, Endlicher W, Alberti M, Bradley G, Ryan C, Simon U, ZumBrunnen C (eds) Urban ecology: an international perspective on the interaction between humans and nature. Springer, US, Boston, pp 519–535
Faisal A-A, Rahman MM, Haque S (2022) Retrieving spatial variation of aerosol level over urban mixed land surfaces using Landsat imageries. Degree of air pollution in Dhaka Metropolitan Area. Physics Chem Earth, Parts A/B/C 126(11):103074. https://doi.org/10.1016/j.pce.2021.103074
Filonchyk M, Yan H, Zhang Z, Yang S, Li W, Li Y (2019) Combined use of satellite and surface observations to study aerosol optical depth in different regions of China. Sci Rep 9(1):6174. https://doi.org/10.1038/s41598-019-42466-6
Gautam S, Elizabeth J, Gautam AS, Singh K, Abhilash P (2022a) Impact assessment of aerosol optical depth on rainfall in Indian rural areas. Aerosol Sci Eng 6(2):186–196. https://doi.org/10.1007/s41810-022-00134-9
Gautam AS, Joshi A, Chandra S, Dumka UC, Siingh D, Singh RP (2022b) Relationship between lightning and aerosol optical depth over the Uttarakhand Region in India. Thermodynamic perspective. Urban Science 6(4):70. https://doi.org/10.3390/urbansci6040070
Gerten C, Fina S, Rusche K (2019) The sprawling planet. Simplifying the measurement of global urbanization trends. Front Environ Sci 7:53. https://doi.org/10.3389/fenvs.2019.00140
Hamad R (2020) A remote sensing and GIS-based analysis of urban sprawl in Soran District, Iraqi Kurdistan. SN Appl Sci 2(1):292. https://doi.org/10.1007/s42452-019-1806-4
Hao WM, Ward DE, Susott RA, Babbitt RE, Nordgren BL, Kaufman YJ, Holben BN, Giles DM (2007) Comparison of aerosol optical thickness measurements by MODIS, AERONET sun photometers, and Forest Service handheld sun photometers in southern Africa during the SAFARI 2000 campaign. Int J Remote Sens 26(19):4169–4183. https://doi.org/10.1080/01431160500113104
Hassan SU, KanhaiyaMunasir AH (2015) Agriculture Industry linkages in the economy of Jammu and Kashmir India. J Dev Agric Econ 7(4):174–181. https://doi.org/10.5897/JDAE2014.0614
Hütt C, Koppe W, Miao Y, Bareth G (2016) Best accuracy land use/land cover (LULC) classification to derive crop types using multitemporal, multisensor, and multi-polarization SAR satellite images. Remote Sens 8(8):684. https://doi.org/10.3390/rs8080684
Illiyas FT, Mohan K, Mani SK, Pradeepkumar AP (2014) Lightning risk in India. Challenges in disaster compensation. Econ Polit Wkly 49(23):23–27
Jaber SM, Abu-Allaban MM (2020) MODIS-based land surface temperature for climate variability and change research. The tale of a typical semi-arid to arid environment. Eur J Remote Sens 53(1):81–90. https://doi.org/10.1080/22797254.2020.1735264
Jain M, Dimri AP, Niyogi D (2016) Urban sprawl patterns and processes in Delhi from 1977 to 2014 based on remote sensing and spatial metrics approaches. Earth Interact 20(14):1–29. https://doi.org/10.1175/EI-D-15-0040.1
Jarah S, Zhou B, Abdullah R, Lu Y, Yu W (2019) Urbanization and urban sprawl issues in city structure. A case of the Sulaymaniah Iraqi Kurdistan Region. Sustainability 11(2):485. https://doi.org/10.3390/su11020485
Jung J, Souri AH, Wong DC, Lee S, Jeon W, Kim J, Choi Y (2019) The impact of the direct effect of aerosols on meteorology and air quality using aerosol optical depth assimilation during the KORUS-AQ campaign. J Geophys Res Atmos JGR124(14):8303–8319. https://doi.org/10.1029/2019JD030641
Kim W, Yeh S-W, Kim J-H, Kug J-S, Kwon M (2011) The unique 2009–2010 El Niño event. A fast phase transition of warm pool El Niño to La Niña. Geophys Res Lett 38(15):481. https://doi.org/10.1029/2011GL048521
Kumar N, Chu A, Foster A (2007) An empirical relationship between PM(2.5) and aerosol optical depth in Delhi Metropolitan. Atmos Environ 41(21):4492–4503. https://doi.org/10.1016/j.atmosenv.2007.01.046
Kunze C, Luijckx P, Jackson AL, Donohue I (2022) Alternate patterns of temperature variation bring about very different disease outcomes at different mean temperatures. eLife 11:. https://doi.org/10.7554/eLife.72861
Liang L, Gong P (2020) Urban and air pollution. A multi-city study of long-term effects of urban landscape patterns on air quality trends. Sci Rep 10(1):18618. https://doi.org/10.1038/s41598-020-74524-9
Liping C, Yujun S, Saeed S (2018) Monitoring and predicting land use and land cover changes using remote sensing and GIS techniques-a case study of a hilly area, Jiangle China. PloS one 13(7):0200493. https://doi.org/10.1371/journal.pone.0200493
Liu J, Niyogi D (2019) Meta-analysis of urbanization impact on rainfall modification. Sci Rep 9(1):7301. https://doi.org/10.1038/s41598-019-42494-2
Liu C, Li W, Zhu G, Zhou H, Yan H, Xue P (2020) Land use/land cover changes and their driving factors in the northeastern tibetan plateau based on geographical detectors and google earth engine. A case study in gannan prefecture. Remote Sens 12(19):3139. https://doi.org/10.3390/rs12193139
Lyapustin, A and Wang Y (2018) MCD19A2. Version 006. MODIS/Terra+Aqua Land Aerosol Optical Thickness Daily L2G Global 1km SIN Grid V006. Sioux Falls, SD, USA. Archived by National Aeronautics and Space Administration, U.S. Government, NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MCD19A2.006. Accessed 22 Aug 2022
Magidi J, Ahmed F (2019) Assessing urban sprawl using remote sensing and landscape metrics a case study of City of Tshwane, South Africa (1984–2015). Egypt J Remote Sens Space Sci 22(3):335–346. https://doi.org/10.1016/j.ejrs.2018.07.003
Meer MS, Mishra AK, Rafiq M (2021) Spatio-temporal patterns of land use land cover changes over a district in Northern India and their impact on environment and society. J Geol Soc India 97(6):656–660. https://doi.org/10.1007/s12594-021-1741-z
Mehmood Yasar and Anand Pranav Kumar (2020) Status of agriculture production and productivity in Jammu and Kashmir. 11th International Conference on Business Management & Information Technology (ICOBMIT) 2019, 28-30 December 2019, Gwalior, India. https://doi.org/10.2139/ssrn.3643764
Mgbemene CA, Nnaji CC, Nwozor C (2016) Industrialization and its backlash focus on climate change and its consequences. J Environ Sci Technol 9(4):301–316. https://doi.org/10.3923/jest.2016.301.316
Mikola J, Setälä H, Setala H (1998) Productivity and trophic-level biomasses in a microbial-based soil food web. Oikos 82(1):158. https://doi.org/10.2307/3546926
Nechyba TJ, Walsh RP (2004) Urban sprawl. J Econ Perspect 18(4):177–200
Nengroo ZA, Bhat MS, Kuchay NA (2017) Measuring urban sprawl of Srinagar city, Jammu and Kashmir, India. J Urban Manag 6(2):45–55. https://doi.org/10.1016/j.jum.2017.08.001
Paramasivam B, Arumugavelu I (2020) Urban sprawl. In: Almusaed A, Almssad A, Truong-Hong L (eds) Sustainability in urban planning and design. IntechOpen. Online. pp 1–8. https://doi.org/10.5772/intechopen.92383
Rahman MN, Rony MRH, Jannat FA, Chandra Pal S, Islam MS, Alam E, Islam ARMT (2022) Impact of urbanization on urban heat island intensity in major districts of Bangladesh using remote sensing and geo-spatial tools. Climate 10(1):3. https://doi.org/10.3390/cli10010003
Rathore LS (2014) Climate of Jammu and Kashmir, 20th edn. Climatological summaries of state series, Climatological Publication Section, Meteorological Office Press. https://diragrijmu.nic.in/CSS%20GUIDELINES/FINAL_CLIMATE%20OF%20JAMMU%20AND%20KASHMIR_e%20book.pdf. Accessed 5 May 2022
RITES Pvt Ltd (2020) Comprehensive mobility plan for Jammu. https://jkpwdrb.nic.in/pdfs/Jammu_CMP.pdf. Accessed 25 May 2022
Safarpour S, Abdullah K, Lim HS, Dadras M (2014) Accuracy assessment of Terra-MODIS aerosol optical depth retrievals. In IOP Conference Series: Earth and Environmental Science, 20:12059. 22-23 April 2014, Kuala Lumpur, Malaysia https://doi.org/10.1088/1755-1315/20/1/012059
Shao Z, Sumari NS, Portnov A, Ujoh F, Musakwa W, Mandela PJ (2021) Urban sprawl and its impact on sustainable urban development. A combination of remote sensing and social media data. Geo-Spatial Inform Sci 24(2):241–255. https://doi.org/10.1080/10095020.2020.1787800
Sharma AK (2016) Revitalizing the urban development scenario- contemporary Katra town. Procedia Soc Behav Sci 216:236–248. https://doi.org/10.1016/j.sbspro.2015.12.033
Shi Z, Xu X, Jia G (2021) Urbanization magnified nighttime heat waves in China. Geophys Res Lett 48(15):652. https://doi.org/10.1029/2021GL093603
Singh L, Singh H, Singh S (2020) Managing natural resources and environmental challenges in the face of urban sprawl in Indian Himalayan City of Jammu. J Indian Soc Remote Sens 48(8):1139–1147. https://doi.org/10.1007/s12524-020-01133-4
Sivaramakrishnan K (2011) Re-visioning Indian cities. The urban renewal mission. SAGE Publications India Pvt Ltd, B-42, New Delhi, India. https://doi.org/10.4135/9788132107859
Sridhar MB, Sathyanathan R, Subramani R, Sudalaimathu K (2020) Urban sprawl analysis using remote sensing data and its impact on surface water bodies. Case study of Surat, India. In IOP Conference Series: Materials Science and Engineering, vol 912. Chennai, India, pp 62070. https://doi.org/10.1088/1757-899X/912/6/062070
Stone B (2008) Urban sprawl and air quality in large US cities. J Environ Manage 86(4):688–698. https://doi.org/10.1016/j.jenvman.2006.12.034
Sun W, Shan J, Wang Z, Wang L, Lu D, Jin Z (2020) Yu K (2020) Geospatial analysis of urban expansion using remote sensing methods and data. A case study of Yangtze River Delta, China. Complexity 4:1–12. https://doi.org/10.1155/2020/3239471
Talie GA (2012) Trends and patterns of urbanization and migration in Jammu and Kashmir. CASIRJ 3(3):51–60. https://doi.org/10.32804/CASIRJ
Tam BY, Gough WA, Mohsin T (2015) The impact of urbanization and the urban heat island effect on day to day temperature variation. Urban Clim 12(3):1–10. https://doi.org/10.1016/j.uclim.2014.12.004
Thakar H, Mishra V (n.d.) The Kashmiri Pandit Exodus. An obliterated chronicle. Int J Manag Human 3(5):1023–1037
Twomey S (1977) The influence of pollution on the shortwave albedo of clouds. J Atmos Sci 34(7):1149–1152. https://doi.org/10.1175/1520-0469(1977)034%3C1149:TIOPOT%3E2.0.CO;2
Tysa SK, Ren G (2022) Observed decrease in light precipitation in part due to urbanization. Sci Rep 12(1):3864. https://doi.org/10.1038/s41598-022-07897-8
United Nations, Department of Economic and Social Affairs, Population Division (2015) Population 2030. Demographic challenges and opportunities for sustainable development planning (ST/ESA/SER.A/389), New York
Varade D, Dikshit O (2019) Improved assessment of atmospheric water vapor content in the Himalayan regions around the Kullu valley in India using Landsat-8 data. Water Resour Res 55(1):462–475. https://doi.org/10.1029/2018WR023806
Varade D, Dikshit O (2020) Assessment of winter season land surface temperature in the Himalayan regions around the Kullu area in India using landsat-8 data. Geocarto Int 35(6):641–662. https://doi.org/10.1080/10106049.2018.1520928
Varade D, Sure A, Dikshit O (2019) Potential of Landsat-8 and Sentinel-2A composite for land use land cover analysis. Geocarto Int 34(14):1552–1567. https://doi.org/10.1080/10106049.2018.1497096
Vasseur DA, DeLong JP, Gilbert B, Greig HS, Harley CDG, McCann KS, van Savage TTD, O’Connor MI (2014) Increased temperature variation poses a greater risk to species than climate warming. Proc Biol Sci 281(1779):20132612. https://doi.org/10.1098/rspb.2013.2612
Wan Z, Hook S, Hulley G (2021) MODIS/terra land surface temperature/emissivity daily L3 global 1 km SIN grid V061. https://doi.org/10.5067/MODIS/MOD11A1.061. Accessed 22 Aug 2022
Wang X, Zhong S, Bian X, Yu L (2019) Impact of 2015–2016 El Niño and 2017–2018 La Niña on PM2.5 concentrations across China. Atmos Environ 208(4):61–73. https://doi.org/10.1016/j.atmosenv.2019.03.035
Xu J, Li C, Shi H, He Q, Pan L (2011) Analysis on the impact of aerosol optical depth on surface solar radiation in the Shanghai megacity. China Atmos Chem Phys 11(7):3281–3289. https://doi.org/10.5194/acp-11-3281-2011
Yang Y, Ho HC, Lolli S, Yang X (2022) Editorial. Climate change, aerosol pollution and public health risk in an urban context. Front Clim 4:. https://doi.org/10.3389/fclim.2022.862982
Yu M, Tang G, Yang Y, Li Q, Wang Y, Miao S, Zhang Y, Wang Y (2020) The interaction between urbanization and aerosols during a typical winter haze event in Beijing. Atmos Chem Phys 20(16):9855–9870. https://doi.org/10.5194/acp-20-9855-2020
Zander A, Bersier L-F, Gray SM (2017) Effects of temperature variability on community structure in a natural microbial food web. Glob Change Biol 23(1):56–67. https://doi.org/10.1111/gcb.13374
Zeleňáková M, Purcz P, Hlavatá H, Blišťan P (2015) Climate change in urban versus rural areas. Proc Eng 119:1171–1180. https://doi.org/10.1016/j.proeng.2015.08.968
Zeydan Ö, Wang Y (2019) Using MODIS derived aerosol optical depth to estimate ground-level PM2.5 concentrations over Turkey. Atmos Pollut Res 10(5):1565–1576. https://doi.org/10.1016/j.apr.2019.05.005
Zhang J, Ding J, Zhang J, Yuan M, Li P, Xiao Z, Peng C, Chen H, Wang M, Zhu Q (2020) Effects of increasing aerosol optical depth on the gross primary productivity in China during 2000–2014. Ecological Indicators 108(17):105761. https://doi.org/10.1016/j.ecolind.2019.105761
Zhang T, Zhou Y, Zhu Z, Li X, Asrar GR (2022) A global seamless 1 km resolution daily land surface temperature dataset (2003–2020). Earth Syst Sci Data 14(2):651–664. https://doi.org/10.5194/essd-14-651-2022
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We would like to thank the USGS for providing access to the Landsat imagery. We also thank Google for the amenities database.
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DV and HS conceptualized the design and analysis of the study. DV, HS, and APS ran the LULC and MBRA experiments. APS collected the data. DV and HS prepared and analyzed the results. DV and APS prepared the initial draft of the manuscript. DV prepared the final manuscript, did the editing and writing. DV, HS, and SA commented on the previous versions of the manuscript. All authors approved the final manuscript.
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Varade, D., Singh, H., Singh, A.P. et al. Assessment of urban sprawls, amenities, and indifferences of LST and AOD in sub-urban area: a case study of Jammu. Environ Sci Pollut Res 30, 107179–107198 (2023). https://doi.org/10.1007/s11356-023-26481-9
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DOI: https://doi.org/10.1007/s11356-023-26481-9