Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Urban Health and Wellbeing: Emerging Trans-disciplinary Stream Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

5. Urban Microclimates

verfasst von : Aakriti Grover, R. B. Singh

Erschienen in: Urban Health and Wellbeing

Verlag: Springer Singapore

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

This chapter presents the detailed account of causes of formation of UHI followed by establishing inter-relationships between LST, NDVI and NDBI. It deals with assessment of land surface temperature, UHI and UMC using Landsat satellite data. The two most dominant factors of urban microclimatic changes are considered as state of vegetation and built up land. While the green cover has cooling effect, the built up concrete land has warming effect in the region. NDVI indicates vegetation health and NDBI indicates built up density (concrete surface). NDVI and NDBI have also been assessed as the predictor and factor of urban microclimate. Both NDVI and NDBI are correlated with LST to identify the changes in microclimates of Delhi and Mumbai.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Changing Urban Environment in Megacities
Nächstes Kapitel Urban Health Risk Analysis
Literatur
Amiri R, Weng Q, Alimohammadi A, Alavipanah SK (2009) Spatial-temporal dynamics of land surface temperature in relation to fractional vegetation cover and land use/cover in the Tabriz urban area, Iran. Remote Sens Environ 113:2606–2617CrossRef
Arnfield AJ (2003) Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island. Int J Climatol 23(1):1–26CrossRef
Bagan H, Yamagata Y (2012) Landsat analysis of urban growth: How Tokyo became the world’s largest megacity during the last 40 years. Remote Sens Environ 127:210–222CrossRef
Barring L, Mattsson JO, Lindqvist S (1985) Canyon geometry, street temperatures and urban heat island in Malmo, Sweden. Int J Clim 5(4):433–444CrossRef
Bruce CM, Hilbert DW (2006) Pre-processing methodology for application to Landsat TM/ETM + imagery of the wet tropics. CSIRO Tropical Forest Research Centre and Rainforest CRC, IBSN: 0864437609
Cardelino CA, Chameides WL (1990) Natural hydrocarbons, urbanization, and urban ozone. J Geophys Res 95(D9):13971–13979
Chander G, Markham B (2003) Revised Landsat-5 TM radiometric calibration procedures and post—calibration dynamic ranges. IEEE Trans Geosci Remote Sens 41(11):2674–2677CrossRef
Chander G, Markham B, Helder D (2009) Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+ and EO-1 ALI sensors. Remote Sens Environ 113:893–903CrossRef
Chen XL, Zhao HM, Li PX, Yin ZY (2006) Remote sensing image—based analysis of the relationship between urban heat island and land use/cover changes. Remote Sens Environ 104:133–146CrossRef
Census of India (2011) Provisional population totals: India. Ministry of Home Affairs, Government of India
Dhakal S (2002) The urban heat environment and urban sustainability. In: Moavenzadeh F, Hanaki K, Baccini P (eds) Future cities: dynamic and sustainability, vol 1. Kluwer Academic Publishers, Netherlands, pp 149–172
Dwivedi A, Khire MV, Mohan BK (2015) Estimation of land surface temperature to study urban heat island effect in Mumbai using Landsat ETM+ image. Int J Remote Sens GIS 4(1):8–16
Eliasson I (1995) Urban nocturnal temperatures, street geometry and land use. Atmos Environ 30(3):379–392CrossRef
Elminir HK (2005) Dependence of urban air pollutants on meteorology. Sci Total Environ 350:225–237CrossRef
Faris AF, Reddy S (2010) Estimation of urban heat island using Landsat ETM+ imagery at Chennai city—a case study. Int J Earth Sci Eng 3(3):332–340
Feizizadeh B, Blaschke T (2013) Examining urban heat island relations to land use and air pollution: multiple end member spectral mixture analysis for thermal remote sensing. IEEE J Sel Top Appl Earth Observ Remote Sens 6(3):1749–1756CrossRef
Forest Survey of India (FSI) (2011) State of forest report: ministry of environment and forests, India, Dehradun
Giridharan R, Ganesan S, Lau SSY (2004) Daytime urban heat island effect in high-rise and high-density residential developments in Hong Kong. Energy Build 36:525–534CrossRef
Grover A, Singh RB (2015) Analysis of urban heat island (UHI) in relation to normalized difference vegetation index (NDVI): a comparative study of Delhi and Mumbai. Environments 2:125–138CrossRef
Hung T, Uchihama D, Ochi S, Yasuoka Y (2006) Assessment with satellite data of the urban heat island effects in Asian mega cities. Int J Appl Earth Obs Geoinf 8:34–48CrossRef
Jongtanom Y, Kositanont C, Baulert S (2011) Temporal variations of urban heat island intensity in three major cities, Thailand. Modern Appl Sci 5(5):105–110CrossRef
Kamini J, Jayanthi SC, Raghavswamy V (2006) Spatio—temporal analysis of land use in urban Mumbai using multi-sensor satellite data and GIS techniques. J Indian Soc Remote Sens 34:385–396CrossRef
Kant Y, Bharath BD, Mallick J, Atzberger C, Kerle N (2009) Satellite—based analysis of the role of land use/land cover and vegetation density on surface temperature regime of Delhi, India. J Indian Soc Remote Sens 37:201–214CrossRef
Kawashima S (1994) Relation between vegetation, surface temperature and surface composition in the Tokyo region during winter. Remote Sens Environ 50:52–60CrossRef
Kolokotroni M, Giridharan R (2008) Urban heat island intensity in London: An investigation of the impact of physical characteristics on changes in outdoor air temperature during summer. Sol Energy 82(11):986–998CrossRef
Li J, Song C, Cao L, Zhu F, Meng X, Wu J (2011) Impacts of landscape structure on surface urban heat islands: a case study of Shanghai, China. Remote Sens Environ 115:3249–3263CrossRef
Li YY, Zhang H, Kainz W (2012) Monitoring patterns of urban heat islands of the fast -growing Shanghai metropolis, China: using time-series of Landsat TM/ETM+ data. Int J Appl Earth Obs Geoinf 19:127–138CrossRef
Liu L, Zhang Y (2011) Urban heat island analysis using the Landsat TM Data and ASTER data: a case study in Hong Kong. Remote Sens 3:1535–1552CrossRef
Lo CP, Quattrochi DA (2003) Land-use and land-cover change, urban heat island phenomenon, and health implications: a remote sensing approach. Photogramm Eng Remote Sens 69(9):1053–1063CrossRef
Mallick J, Kant Y, Bharath BD (2008) Estimation of land surface temperature over Delhi using Landsat-7 ETM+. J Indian Geophys Union 12(3):131–140
Mallick J, Singh CK, Shashtri S, Rahman A, Mukherjee S (2012) Land surface emissivity retrieval based on moisture index from Landsat TM satellite data over heterogeneous surfaces of Delhi city. Int J Appl Earth Obs Geoinf 19:348–358CrossRef
Muttttanon W, Tripathi NK (2005) Land use/land cover changes in the coastal zone of Ban Don Bay, Thailand using Landsat 5 TM data. Int J Remote Sens 26:2311–2323CrossRef
Nichol J (2005) Remote sensing of urban heat islands by day and night. Photogramm Eng Remote Sens 71(5):613–621CrossRef
Oke TR (1982) The energetic basis of the urban heat Island. Q J Royal Meteorol Soc 108:1–24
Oke TR (1995) The heat island of urban boundary layer: characteristics, causes and effects in wind climate in cities. In: Cermak JE, Davenport AG, Plate EJ, Viegas DX (eds) Wind climate in cities, Springer, ISBN: 0792332024, pp 81–107
Pandey P, Kumar D, Prakash D, Kumar K, Jain VK (2009) A study of the summertime urban heat island over Delhi. Int J Sustain Sci Stud 1(1):27–34
Roy SS, Singh RB, Kumar M (2011) An analysis of local spatial temperature patterns in the Delhi Metropolitan Area. Phys Geogr 32(2):114–138CrossRef
Singh RB, Grover A, Zhan J (2014) Inter—seasonal variations of surface temperature in urbanized environment of Delhi using Landsat thermal data. Energies 7:1811–1828CrossRef
Singh RB, Grover A (2014) Remote sensing of urban micro climate with special reference to urban heat island using Landsat thermal data. Geographia Polonica 87:555–568CrossRef
Stewart ID (2011) A systematic review and scientific critique of methodology in modern urban heat island literature. Int J Climatol 31:200–217CrossRef
Taha H (1997) Urban climates and heat islands: Albedo, evapotranspiration, and anthropogenic heat. Energy Build 25(2):99–103CrossRef
Vlahov D, Freudenberg N, Proietti F, Ompad D, Quinn A, Nandi V, Galea S (2007) Urban as a determinant of health. J Urban Health: Bull New York Acad Med 84(1):i16–i26CrossRef
Voogt JA, Oke TR (1998) Effects of urban surface geometry on remotely-sensed surface temperature. Int J Remote Sens 19:895–920CrossRef
Voogt JA, Oke TR (2003) Thermal remote sensing of urban climates. Remote Sens Environ 86:370–384CrossRef
Weng Q, Yang S (2004) Managing the adverse thermal effects of urban development in a densely populated Chinese city. J Environ Manage 70:145–156CrossRef
Weng Q, Zengshang D, Jacquelyn S (2004) Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies. Remote Sens Environ 89:467–483CrossRef
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 85:245–257CrossRef
Xu H (2007) Extraction of urban built-up land features from Landsat imagery using a thematic oriented index combination technique. Photogramm Eng Remote Sens 73(12):1381–1391CrossRef
Yuan F, Bauer ME (2007) Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery. Remote Sens Environ 106:375–386CrossRef
Yue W, Xu J, Tan T, Xu L (2007) The relationship between land surface temperature and NDVI with remote sensing: application to Shanghai Landsat 7 ETM+ data. Int J Remote Sens 28(15):3205–3226CrossRef
Zhang XX, Wu PF, Chen B (2010) Relationship between vegetation greenness and urban heat island effect in Beijing city of China. Proced Environ Sci 2:1438–1450CrossRef
Zhang Y, Yiyun C, Qing D, Jiang P (2012) Study on urban heat island effect based on normalized difference vegetated index: a case study of Wuhan city. Proced Environ Sci 8:574–581CrossRef
Zhang J, Wang Y (2008) Study of the relationships between the spatial extent of surface urban heat islands and urban characteristic factors based on Landsat ETM+ data. Sensors 8:7453–7468CrossRef
Metadaten
Titel
Urban Microclimates
verfasst von
Aakriti Grover
R. B. Singh
Copyright-Jahr
2020
Verlag
Springer Singapore
Buch
Urban Health and Wellbeing

Print ISBN: 978-981-13-6670-3

Electronic ISBN: 978-981-13-6671-0

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-981-13-6671-0_5