Skip to main content
Log in

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

  • Research Article - Atmospheric & Space Sciences
  • Published:
Acta Geophysica Aims and scope Submit manuscript

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Google Scholar 

  • Almeida CRD, Teodoro AC, Gonçalves A (2021) Study of the urban heat island (UHI) using remote sensing data/techniques: a systematic review. Environments 8(10):105

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Babalola OS, Akinsanola AA (2016) Change detection in land surface temperature and land use land cover over Lagos Metropolis, Nigeria. J Remote Sens GIS 5(3):1–7

    Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Bouissou J (2014) Indian city of Surat anticipates worst effects of climate change. The Guardian. https://www.theguardian.com/cities/2014/sep/15/indian-cities-climate-change-surat. Accessed 4 Jan 2020.

  • 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

    Article  Google Scholar 

  • Carlson TN, Ripley DA (1997) On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sens Environ 62(3):241–252

    Article  Google Scholar 

  • Census of India (2011). https://censusindia.gov.in/

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Google Scholar 

  • 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

    Article  Google Scholar 

  • Curran P (1980) Multispectral remote sensing of vegetation amount. Prog Phys Geogr 4(3):315–341

    Article  Google Scholar 

  • 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

    Article  CAS  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Debbage N, Shepherd JM (2015) The urban heat island effect and city contiguity. Comput Environ Urban Syst 54:181–194

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  CAS  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Gago EJ, Roldan J, Pacheco-Torres R, Ordóñez J (2013) The city and urban heat islands: a review of strategies to mitigate adverse effects. Renew Sustain Energy Rev 25:749–758

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Grimm NB, Faeth SH, Golubiewski NE, Redman CL, Wu J, Bai X, Briggs JM (2008) Global change and the ecology of cities. Science 319(5864):756–760

    Article  CAS  Google Scholar 

  • 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

    Article  Google Scholar 

  • Guha S, Govil H, Dey A, Gill N (2018) Analytical study of land surface 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

    Article  Google Scholar 

  • Guha S, Govil H, Dey A, Gill N (2020) A case study on the relationship between land surface temperature and land surface indices in Raipur City. India Geografisk Tidsskrift-Danish J Geogr 120(1):35–50

    Article  Google Scholar 

  • Gunawardena KR, Wells MJ, Kershaw T (2017) Utilising green and bluespace to mitigate urban heat island intensity. Sci Total Environ 584:1040–1055

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Ibarra-Bonilla JS, Villarreal-Guerrero F, Prieto-Amparán 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Khare VR, Vajpai A, Gupta D (2021) A big picture of urban heat island mitigation strategies and recommendation for India. Urban Climate 37:100845

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Google Scholar 

  • Kustas W, Anderson M (2009) Advances in thermal infrared remote sensing for land surface modeling. Agric For Meteorol 149(12):2071–2081

    Article  Google Scholar 

  • 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.

  • Lewis SL, Maslin MA (2015) Defining the Anthropocene. Nature 519:171–180

    Article  CAS  Google Scholar 

  • 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.

  • 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

    Article  Google Scholar 

  • Liu Y, Li Y, Li S, Motesharrei S (2015) Spatial and temporal patterns of global NDVI trends: correlations with climate and human factors. Remote Sensing 7(10):13233–13250

    Article  Google Scholar 

  • Liu Y, Peng J, Wang Y (2018) Efficiency of landscape metrics characterizing urban land surface temperature. Landsc Urban Plan 180:36–53

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Manoli G, Fatichi S, Schläpfer 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

    Article  CAS  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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.

  • 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

    Google Scholar 

  • 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 Netherlands. Landsc Urban Plan 159:85–100

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Nuruzzaman M (2015) Urban heat island: causes, effects and mitigation measures-a review. Int J Environ Monit Anal 3(2):67–73

    Google Scholar 

  • Oke TR, Mills G, Christen A, Voogt JA (2017) Urban climates. Cambridge University Press

    Book  Google Scholar 

  • Oke TR (1973) City size and the urban heat island. Atmos Environ (1967) 7(8):769–779.

  • 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

    Google Scholar 

  • 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

    Article  Google Scholar 

  • 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 Manage 92(3):331–362

    Article  CAS  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Ramaiah M, Avtar R (2019) Urban green spaces and their need in cities of rapidly urbanizing India: a review. Urban Science 3(3):94

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Google Scholar 

  • 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

    Article  CAS  Google Scholar 

  • 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

    Google Scholar 

  • 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

    Article  Google Scholar 

  • Saikia J, Das B, Hazarika A (2023) A GIS based study on channel dynamic and the impact on morphology of Subansiri River in the Lakhimpur district of Assam. India Sustain Water Resour Manage 9(2):59

    Article  Google Scholar 

  • Saikia J, Saikia S (2020) Forest cover change detection in Ranga, Kakoi, and Dulung Reserve Forests in the Lakhimpur District of Assam, India. J Social Sci 48(4).

  • Santamouris M, Paraponiaris K, Mihalakakou G (2007) Estimating the ecological footprint of the heat island effect over Athens. Greece Clim Change 80(3–4):265–276

    Article  CAS  Google Scholar 

  • Santamouris M, Ban-Weiss G, Osmond P, Paolini R, Synnefa A, Cartalis C et al (2018) Progress in urban greenery mitigation science–assessment methodologies advanced technologies and impact on cities. J Civ Eng Manag 24(8):638–671

    Article  Google Scholar 

  • Sarif MO, Ranagalage M, Gupta RD, Murayama Y (2022) Monitoring urbanization induced surface urban cool island formation in a South Asian Megacity: a case study of Bengaluru, India (1989–2019). Front Ecol Evol 10:901156

    Article  Google Scholar 

  • Shiflett SA, Liang LL, Crum SM, Feyisa GL, Wang J, Jenerette GD (2017) Variation in the urban vegetation, surface temperature, air temperature nexus. Sci Total Environ 579:495–505

    Article  CAS  Google Scholar 

  • Silva JS, da Silva RM, Santos CAG (2018) Spatiotemporal impact of land use/land cover changes on urban heat islands: A case study of Paço do Lumiar, Brazil. Build Environ 136:279–292

    Article  Google Scholar 

  • Smith N, Georgiou M, King AC, Tieges Z, Webb S, Chastin S (2021) Urban blue spaces and human health: a systematic review and meta-analysis of quantitative studies. Cities 119:103413

    Article  Google Scholar 

  • Stewart ID (2011) A systematic review and scientific critique of methodology in modern urban heat island literature. Int J Climatol 31(2):200–217

    Article  Google Scholar 

  • Stewart ID, Oke TR (2012) Local climate zones for urban temperature studies. Bull Am Meteor Soc 93(12):1879–1900

    Article  Google Scholar 

  • Sun R, Chen L (2017) Effects of green space dynamics on urban heat islands: mitigation and diversification. Ecosyst Serv 23:38–46

    Article  Google Scholar 

  • Sun R, Chen A, Chen L, Lü Y (2012) Cooling effects of wetlands in an urban region: the case of Beijing. Ecol Ind 20:57–64

    Article  Google Scholar 

  • Tan J, Zheng Y, Tang X, Guo C, Li L, Song G, Zhen X, Yuan D, Kalkstein AJ, Li F, Chen H (2010a) The urban heat island and its impact on heat waves and human health in Shanghai. Int J Biometeorol 54:75–84

    Article  Google Scholar 

  • Tan KC, Lim HS, MatJafri MZ, Abdullah K (2010b) Landsat data to evaluate urban expansion and determine land use/land cover changes in Penang Island, Malaysia. Environ Earth Sci 60:1509–1521

    Article  Google Scholar 

  • Tewari M, Godfrey N (2016) Better cities, better growth: India’s urban opportunity. New Climate Economy, World Resources Institute, and Indian Council for Research on International Economic Relations. London, Washington, DC, and New Delhi. http://newclimateeconomy.report/workingpapers. Accessed 31 March 2020.

  • Tiwari A, Mishra PK (2019) A study of urban-landscape characteristics of Bhopal City (India) in a geo-spatial environment. Making Cities Resilient. Springer International Publishing, Cham, pp 207–226

    Chapter  Google Scholar 

  • Tran DX, Pla F, Latorre-Carmona P, Myint SW, Caetano M, Kieu HV (2017) Characterizing the relationship between land use land cover change and land surface temperature. ISPRS J Photogramm Remote Sens 124:119–132

    Article  Google Scholar 

  • Twisa S, Buchroithner MF (2019) Land-use and land-cover (LULC) change detection in Wami River Basin. Tanzania Land 8(9):136

    Google Scholar 

  • Tzoulas K, Korpela K, Venn S, Yli-Pelkonen V, Kaźmierczak A, Niemela J, James P (2007) Promoting ecosystem and human health in urban areas using Green Infrastructure: a literature review. Landsc Urban Plan 81(3):167–178

    Article  Google Scholar 

  • Vargo J, Habeeb D, Stone B Jr (2013) The importance of land cover change across urban–rural typologies for climate modeling. J Environ Manage 114:243–252

    Article  Google Scholar 

  • Weng Q, Lu D, Schubring J (2004) Estimation of land surface temperature–vegetation abundance relationship for urban heat island studies. Remote Sens Environ 89(4):467–483

    Article  Google Scholar 

  • Wu Z, Ren Y (2019) A bibliometric review of past trends and future prospects in urban heat island research from 1990 to 2017. Environ Rev 27(2):241–251

    Article  CAS  Google Scholar 

  • Wu C, Li J, Wang C, Song C, Chen Y, Finka M, La Rosa D (2019) Understanding the relationship between urban blue infrastructure and land surface temperature. Sci Total Environ 694:133742

    Article  CAS  Google Scholar 

  • Wu Y, Hou H, Wang R, Murayama Y, Wang L, Hu T (2022) Effects of landscape patterns on the morphological evolution of surface urban heat island in Hangzhou during 2000–2020. Sustain Cities Soc 79:103717

    Article  Google Scholar 

  • Xiao H, Weng Q (2007) The impact of land use and land cover changes on land surface temperature in a karst area of China. J Environ Manage 85(1):245–257

    Article  Google Scholar 

  • Xie C, Huang X, Zeng W, Fang X (2016) A novel water index for urban high-resolution eight-band WorldView-2 imagery. Int J Digital Earth 9(10):925–941

    Article  Google Scholar 

  • Xu H (2006) Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. Int J Remote Sens 27(14):3025–3033

    Article  Google Scholar 

  • Xu HQ, Chen BQ (2004) Remote sensing of the urban heat island and its changes in Xiamen City of SE China. J Environ Sci 16(2):276–281

    Google Scholar 

  • Yang L, Qian F, Song DX, Zheng KJ (2016) Research on urban heat-island effect. Procedia Eng 169:11–18

    Article  Google Scholar 

  • Yao R, Wang L, Huang X, Gong W, Xia X (2019) Greening in rural areas increases the surface urban heat island intensity. Geophys Res Lett 46(4):2204–2212

    Article  Google Scholar 

  • Yao L, Li T, Xu M, Xu Y (2020) How the landscape features of urban green space impact seasonal land surface temperatures at a city-block-scale: an urban heat island study in Beijing. China Urban Fore Urban Green 52:126704

    Article  Google Scholar 

  • Yu Z, Guo X, Zeng Y, Koga M, Vejre H (2018) Variations in land surface temperature and cooling efficiency of green space in rapid urbanization: The case of Fuzhou city, China. Urban Forestry & Urban Greening 29:113–121

    Article  Google Scholar 

  • Yu Z, Yao Y, Yang G, Wang X, Vejre H (2019) Spatiotemporal patterns and characteristics of remotely sensed region heat islands during the rapid urbanization (1995–2015) of Southern China. Sci Total Environ 674:242–254

    Article  CAS  Google Scholar 

  • Zhang R, Tian J, Su H, Sun X, Chen S, Xia J (2008) Two improvements of an operational two-layer model for terrestrial surface heat flux retrieval. Sensors 8(10):6165–6187

    Article  Google Scholar 

  • Zhang H, Qi ZF, Ye XY, Cai YB, Ma WC, Chen MN (2013) Analysis of land use/land cover change, population shift, and their effects on spatiotemporal patterns of urban heat islands in metropolitan Shanghai, China. Appl Geogr 44:121–133

    Article  CAS  Google Scholar 

  • Zhang B, Li N, Wang S (2015) Effect of urban green space changes on the role of rainwater runoff reduction in Beijing, China. Landsc Urban Plan 140:8–16

    Article  Google Scholar 

  • Zhang Y, Zhan Y, Yu T, Ren X (2017) Urban green effects on land surface temperature caused by surface characteristics: a case study of summer Beijing metropolitan region. Infrared Phys Technol 86:35–43

    Article  Google Scholar 

Download references

Acknowledgements

The authors wish heartfelt thanks to the Center for Studies in Geography, Dibrugarh University; the Department of Geography, DHSK College, Dibrugarh of Assam, India and also gratitude toward the Department of Geography, Rajiv Gandhi University of Arunachal Pradesh, India for giving such an opportunity to conduct the research smoothly.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jyoti Saikia.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Edited by Prof. Ewa Bednorz (ASSOCIATE EDITOR) / Prof. Theodore Karacostas (CO-EDITOR-IN-CHIEF).

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hazarika, A., Saikia, J. & Saikia, S. Evaluating the scenario of urban blue-green space in Tezpur town of Assam using geo-technical approach. Acta Geophys. (2024). https://doi.org/10.1007/s11600-024-01360-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11600-024-01360-0

Keywords

Navigation