Evaluating the scenario of urban blue-green space in Tezpur town of Assam using geo-technical approach

Hazarika, Archita; Saikia, Jyoti; Saikia, Sailajananda

doi:10.1007/s11600-024-01360-0

Artykuł - szczegóły

Tytuł artykułu

Evaluating the scenario of urban blue-green space in Tezpur town of Assam using geo-technical approach

Autorzy

Hazarika Archita , Saikia Jyoti , Saikia Sailajananda

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Identyfikatory

DOI

10.1007/s11600-024-01360-0

Warianty tytułu

Języki publikacji

Abstrakty

Urban blue-green space (UBGS) is considered to be an effective way to mitigate Urban Heat Island (UHI) effects. UBGS not only cools the actual space but also influences the surrounding areas; this phenomenon is termed as UBGS cooling effect. The present study tries to anatomize the UBGS of urban Tezpur with the help of geo-technology. Landsat satellite images of Thematic Mapper (TM) and Operational Land Imager (OLI) with 30 m spatial resolution were used to investigate the UBGS scenario for the years 1993 and 2023, respectively. Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), and Normalized Difference Water Index (NDWI) were taken into consideration for the ascertainment of UBGS and UHI. The correlation between LST and NDVI was also determined with the aid of simple regression analysis. The NDVI values for the years 1993 and 2023 are - 0.32 to 0.70 and - 0.44 to 0.50 respectively. The LST values of the town for the year 1993 are 28.76 to 20.17 and for 2023, the LST value is 29.47 to 20.36. The NDWI value indicates that the water index increased in the water bodies from the year 1993 to 2023. Though sufficient data are not available on the website, the data used in the study are free from major environmental and geometric disturbances to establish the LST, NDVI, and NDWI. However, the present work is the pioneer that used geo-spatial technology which will also help the urban planners and designers to deal with UBGS and UHI effects.

Słowa kluczowe

urban green space urban blue space urban heat island land surface temperature NDVI NDWI

miejska przestrzeń zielona miejska przestrzeń niebieska miejska wyspa ciepła temperatura powierzchni lądu NDVI NDWI

Wydawca

Instytut Geofizyki PAN
Springer

Czasopismo

Acta Geophysica

Rocznik

2025

Tom

Vol. 73, no. 1

Strony

901--915

Opis fizyczny

Bibliogr. 75 poz.

Twórcy

autor

Hazarika Archita

Centre for Studies in Geography, Dibrugarh University, Dibrugarh, Assam, India

autor

Saikia Jyoti

jyoti.saikia@rgu.ac.in

Department of Geography, D.H.S.K. College, Dibrugarh, Assam, India
Department of Geography, Rajiv Gandhi University, Doimukh, Arunachal Pradesh, India

https://orcid.org/0000-0003-0996-604X

autor

Saikia Sailajananda

Department of Geography, Rajiv Gandhi University, Doimukh, Arunachal Pradesh, India

Bibliografia

1. Aburas MM, Abdullah SH, Ramli MF, Ash’aari, ZH (2015) Measuring land cover change in Seremban, Malaysia using NDVI index. Procedia Environ Sci 30:238-243
2. Adams MP, Smith PL (2014) A systematic approach to model the influence of the type and density of vegetation cover on urban heat using remote sensing. Landsc Urban Plan 132:47-54
3. Ali S, Patnaik S, Madguni O (2017) Microclimate land surface temperatures across urban land use/land cover forms. Global J Environ Sci Manage 3(3):231-242
4. Almeida CRD, Teodoro AC, Gonęalves A (2021) Study of the urban heat island (UHI) using remote sensing data/techniques: a systematic review. Environments 8(10):105
5. Anjos M, Lopes A (2017) Urban heat island and park Cool island intensities in the coastal city of Aracaju, north-eastern Brazil. Sustainability 9(8):1379
6. Babalola OS, Akinsanola AA (2016) Change detection in land sur- face temperature and land use land cover over Lagos Metropolis, Nigeria. J Remote Sens GIS 5(3):1-7
7. Bendib A, Dridi H, Kalla MI (2017) Contribution of Landsat 8 data for the estimation of land surface temperature in Batna city. Eastern Algeria Geocarto Int 32(5):503-513
8. Bhat PA, ul Shafiq M, Mir AA, Ahmed P (2017) Urban sprawl and its impact on land use/land cover dynamics of Dehradun City, India. Int J Sustain Built Environ 6(2):513-521
9. Bouissou J (2014) Indian city of Surat anticipates worst effects of cli- mate change. The Guardian. https://www.theguardian.com/cit- ies/2014/sep/15/indian-cities-climate-change-surat. Accessed 4 Jan 2020.
10. Brückner A, Falkenberg T, Kasturirangan U, Kistemann T (2022) Photovoice for enhanced healthy blue space research: an example of use from urban India. Cities & Health 6(4):804-817
11. Carlson TN, Ripley DA (1997) On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sens Environ 62(3):241-252
12. Census of India (2011). https://censusindia.gov.in/
13. Chaudhuri G, Mishra NB (2016) Spatio-temporal dynamics of land cover and land surface temperature in Ganges-Brahmaputra delta: a comparative analysis between India and Bangladesh. Appl Geogr 68:68-83
14. Chetia S, Saikia A, Basumatary M, Sahariah D (2020) When the heat is on urbanization and land surface temperature in Guwahati, India. Acta Geophys 68:891-901
15. Chowdhury M, Hasan ME, Abdullah-Al-Mamun MM (2020) Land use/land cover change assessment of Halda watershed using remote sensing and GIS. Egypt J Remote Sens Space Sci 23(1):63-75
16. Coseo P, Larsen L (2014) How factors of land use/land cover, building configuration, and adjacent heat sources and sinks explain Urban Heat Islands in Chicago. Landsc Urban Plan 125:117-129
17. Curran P (1980) Multispectral remote sensing of vegetation amount. Prog Phys Geogr 4(3):315-341
18. Dai Z, Guldmann JM, Hu Y (2018) Spatial regression models of park and land-use impacts on the urban heat island in central Beijing. Sci Total Environ 626:1136-1147
19. Dai X, Wang L, Tao M, Huang C, Sun J, Wang S (2021) Assessing the ecological balance between supply and demand of blue- green infrastructure. J Environ Manage 288:112454
20. Dang H, Li J (2021) The integration of urban streetscapes provides the possibility to fully quantify the ecological landscape of urban green spaces: a case study of Xi’an city. Ecol Ind 133:108388
21. Debbage N, Shepherd JM (2015) The urban heat island effect and city contiguity. Comput Environ Urban Syst 54:181-194
22. Deng Y, Wang S, Bai X, Tian Y, Wu L, Xiao J, Chen F, Qian Q (2018) Relationship among land surface temperature and LUCC, NDVI in typical karst area. Sci Rep 8(1):641
23. Du H, Cai Y, Zhou F, Jiang H, Jiang W, Xu Y (2019) Urban blue- green space planning based on thermal environment simulation: a case study of Shanghai. China Ecol Indicators 106:105501
24. Estoque RC, Murayama Y, Myint SW (2017) Effects of landscape composition and pattern on land surface temperature: an urban heat island study in the megacities of Southeast Asia. Sci Total Environ 577:349-359
25. Fan H, Yu Z, Yang G, Liu TY, Liu TY, Hung CH, Vejre H (2019) How to cool hot-humid (Asian) cities with urban trees? An optimal landscape size perspective. Agric For Meteorol 265:338-348
26. Feizizadeh B, Blaschke T, Nazmfar H, Akbari E, Kohbanani HR (2013) Monitoring land surface temperature relationship to land use/ land cover from satellite imagery in Maraqeh County. Iran J Environ Plan Manage 56(9):1290-1315
27. Gago EJ, Roldan J, Pacheco-Torres R, Ordónez J (2013) The city and urban heat islands: a review of strategies to mitigate adverse effects. Renew Sustain Energy Rev 25:749-758
28. Garrett JK, White MP, Huang J, Ng S, Hui Z, Leung C, Tse LA, Fung F, Elliott LR, Depledge MH, Wong MC (2019) Urban blue space and health and wellbeing in Hong Kong: results from a survey of older adults. Health Place 55:100-110
29. Ghosh S, Pal S (2024) Anthropogenic impacts on urban blue space and its reciprocal effect on human and socio-ecological health. J Environ Manage 351:119727
30. Ghosh P, Singh KK (2022) Spatiotemporal dynamics of urban green and blue spaces using geospatial techniques in Chandannagar city. India Geojournal 87(6):4671-4688
31. Gohain KJ, Mohammad P, Goswami A (2021) Assessing the impact of land use land cover changes on land surface temperature over Pune city, India. Quatern Int 575:259-269
32. Gondwe JF, Li S, Munthali RM (2021) Analysis of land use and land cover changes in urban areas using remote sensing: case of Blantyre city. Discret Dyn Nat Soc 2021:1-17
33. Govind NR, Ramesh H (2019) The impact of spatiotemporal patterns of land use land cover and land surface temperature on an urban cool island: a case study of Bengaluru. Environ Monit Assess 191:1-20
34. Grimm NB, Faeth SH, Golubiewski NE, Redman CL, Wu J, Bai X, Briggs JM (2008) Global change and the ecology of cities. Sci¬ence 319(5864):756-760
35. Guha S, Govil H (2021) An assessment on the relationship between land surface temperature and normalized difference vegetation index. Environ Dev Sustain 23:1944-1963
36. Guha S, Govil H, Dey A, Gill N (2018) Analytical study of land sur- face temperature with NDVI and NDBI using Landsat 8 OLI and TIRS data in Florence and Naples city. Italy Euro J Remote Sens 51(1):667-678
37. Guha S, Govil H, Dey A, Gill N (2020) A case study on the relation- ship between land surface temperature and land surface indices in Raipur City. India Geografisk Tidsskrift-Danish J Geogr 120(1):35-50
38. Gunawardena KR, Wells MJ, Kershaw T (2017) Utilising green and bluespace to mitigate urban heat island intensity. Sci Total Environ 584:1040-1055
39. Hollmann R, Merchant CJ, Saunders R, Downy C, Buchwitz M, Cazenave A, Chuvieco E, Defourny P, de Leeuw G, Forsberg R, Holzer-Popp T, Paul F, Wagner W (2013) The ESA climate change initiative: satellite data records for essential climate variables. Bull Am Meteor Soc 94(10):1541-1552
40. Ibarra-Bonilla JS, Villarreal-Guerrero F, Prieto-Amparan JA, Santellano-Estrada E, Pinedo-Alvarez A (2021) Characterizing the impact of Land-Use/Land-Cover changes on a Temperate Forest using the Markov model. Egyptian J Remote Sensing Space Sci 24(3):1013-1022
41. Karnieli A, Agam N, Pinker RT, Anderson M, Imhoff ML, Gutman GG, Panov N, Goldberg A (2010) Use of NDVI and land surface temperature for drought assessment: merits and limitations. J Clim 23(3):618-633
42. Khare VR, Vajpai A, Gupta D (2021) A big picture of urban heat island mitigation strategies and recommendation for India. Urban Cli- mate 37:100845
43. Kotharkar R, Bagade A (2018) Evaluating urban heat island in the critical local climate zones of an Indian city. Landsc Urban Plan 169:92-104
44. Kuang W, Liu Y, Dou Y, Chi W, Chen G, Gao C, Yang T, Liu J, Zhang R (2015) What are hot and what are not in an urban landscape: quantifying and explaining the land surface temperature pattern in Beijing. China Landsc Ecol 30(2):357-373
45. Kumari M, Das A, Sharma R, Saikia S (2014) Change detection analysis using multi temporal satellite data of Poba reserve forest, Assam and Arunachal Pradesh. Int J Geomat Geosci 4(3):517
46. Kustas W, Anderson M (2009) Advances in thermal infrared remote sensing for land surface modeling. Agric For Meteorol 149(12):2071-2081
47. Lambin EF, Turner BL, Geist HJ, Agbola SB, Angelsen A, Bruce JW, et al. (2001) The causes of land-use and land-cover change: moving beyond the myths. Global Environ Change 11(4):261-269.
48. Lewis SL, Maslin MA (2015) Defining the Anthropocene. Nature 519:171-180
49. Li ZL, Wu H, Duan SB, Zhao W, Ren H, Liu X, Leng P, Tiang R, Ye Xin, Zhu J., Sun Y, Sun Y, Si M, Li J, Zhang X, Shang G, Tang B-H, Yan G, Zhou C (2023) Satellite remote sensing of global land surface temperature: Definition, methods, products, and applications. Rev Geophys 61(1):e2022RG000777.
50. 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):e0200493
51. Liu Y, Li Y, Li S, Motesharrei S (2015) Spatial and temporal patterns of global NDVI trends: correlations with climate and human fac- tors. Remote Sensing 7(10):13233-13250
52. Liu Y, Peng J, Wang Y (2018) Efficiency of landscape metrics characterizing urban land surface temperature. Landsc Urban Plan 180:36-53
53. Lo CP, Quattrochi DA, Luvall JC (1997) Application of high-resolution thermal infrared remote sensing and GIS to assess the urban heat island effect. Int J Remote Sens 18(2):287-304
54. Manoli G, Fatichi S, Schlapfer M, Yu K, Crowther TW, Meili N, Burlando P, Katul GG, Bou-Zeid E (2019) Magnitude of urban heat islands largely explained by climate and population. Nature 573(7772):55-60
55. Mc Feeters SK (1996) The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. Int J Remote Sens 17(7):1425-1432
56. Mir AA, Ahmed P (2014) Microwatershed level conservation strategies for effective land management in Haheom watershed. In: Kashmir Valley (J & K). In Landscape Ecology and Water Management: Proceedings of IGU Rohtak Conference, Vol. 2 (pp. 341-352). Springer, Japan.
57. Mishra PK, Rai A, Rai SC (2020) Land use and land cover change detection using geospatial techniques in the Sikkim Himalaya, India. Egypt J Remote Sens Space Sci 23(2):133-143
58. Montazeri H, Toparlar Y, Blocken B, Hensen JLM (2017) Simulating the cooling effects of water spray systems in urban landscapes: a computational fluid dynamics study in Rotterdam, The Nether- lands. Landsc Urban Plan 159:85-100
59. Mukherjee F, Singh D (2020) Assessing land use-land cover change and its impact on land surface temperature using LANDSAT data: a comparison of two urban areas in India. Earth Syst Environ 4:385-407
60. Nandkeolyar N, Sandhya Kiran G (2019) A climatological study of the spatio-temporal variability of land surface temperature and vegetation cover of Vadodara district of Gujarat using satellite data. Int J Remote Sens 40(1):218-236
61. Neog R, Hazarika J (2022) Thermal stress and urban heat island effect in Jorhat urban environment as a result of changing land use and land cover. Acta Geophys 70(6):2771-2783
62. Nuruzzaman M (2015) Urban heat island: causes, effects and mitigation measures-a review. Int J Environ Monit Anal 3(2):67-73
63. Oke TR, Mills G, Christen A, Voogt JA (2017) Urban climates. Cam¬bridge University Press
64. Oke TR (1973) City size and the urban heat island. Atmos Environ (1967) 7(8):769-779.
65. Pelorosso R, Gobattoni F, Leone A (2017) Green Courtyards as Urban Cool Islands: towards Nature-based climate adaptation plans of compact cities. CSE-City Safety Energy 1:27-36
66. Peng J, Xie P, Liu Y, Ma J (2016) Urban thermal environment dynamics and associated landscape pattern factors: a case study in the Beijing metropolitan region. Remote Sens Environ 173:145-155
67. Pickett ST, Cadenasso ML, Grove JM, Boone CG, Groffman PM, Irwin E, Kaushal SS, Marshall V, McGrath BP, Nilon CH, Pouyat RV, Szlavecz K, Troy A, Warren P (2011) Urban ecological systems: Scientific foundations and a decade of progress. J Environ Man- age 92(3):331-362
68. Qiao Z, Wu C, Zhao D, Xu X, Yang J, Feng L, Sun Z, Liu L (2019) Determining the boundary and probability of surface urban heat island footprint based on a logistic model. Remote Sensing 11(11):1368
69. Rai SC, Sharma E, Sundriyal RC (1994) Conservation in the Sikkim Himalaya: traditional knowledge and land-use of the Mamlay watershed. Environ Conserv 21(1):30-34
70. Ramaiah M, Avtar R (2019) Urban green spaces and their need in cities of rapidly urbanizing India: a review. Urban Science 3(3):94
71. Ramamurthy P, Bou-Zeid E (2017) Heatwaves and urban heat islands: a comparative analysis of multiple cities. J Geophys Res Atmos 122(1):168-178
72. Rawat JS, Biswas V, Kumar M (2013) Changes in land use/cover using geospatial techniques: a case study of Ramnagar town area, district Nainital, Uttarakhand, India. Egypt J Remote Sens Space Sci 16(1):111-117
73. Ren Y, Deng LY, Zuo SD, Song XD, Liao YL, Xu CD, Chen Q, Hua LZ, Li ZW (2016) Quantifying the influences of various ecological factors on land surface temperature of urban forests. Environ Pollut 216:519-529
74. Sahana M, Ahmed R, Sajjad H (2016) Analyzing land surface temperature distribution in response to land use/land cover change using split window algorithm and spectral radiance model in Sundarban Biosphere Reserve, India. Modeling Earth Syst Environ 2:1-11
75. Sahana M, Dutta S, Sajjad H (2019) Assessing land transformation and its relation with land surface temperature in Mumbai city, India using geospatial techniques. Int J Urban Sci 23(2):205-225

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).

Typ dokumentu

Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-42ea4ee4-97f9-4ef2-934d-9f26bc7de717