Skip to main content

A Survey of the Evolution of Remote Sensing Imaging Systems and Urban Remote Sensing Applications

  • Chapter
  • First Online:

Part of the book series: Remote Sensing and Digital Image Processing ((RDIP,volume 10))

Abstract

The increasingly diverse nature of sensor systems and imagery products, as well as their commercial availability, have led to a broad set of applications resulting in rich, interdisciplinary topics that come under the umbrella of urban remote sensing. This chapter reviews the development of remote sensing systems, their contribution to the emergence of urban remote sensing, and how they have given rise to the pursuit of novel approaches to the study of urban environments.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   99.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Barnsley MJ, Moller-Jensen L, Barr AL (2001) Inferring urban land use by spatial and structural pattern recognition. In: Donnay JP, Barnsley MJ, Longley PA (eds) Remote sensing and urban analysis. Taylor & Francis, London, pp 115–144

    Chapter  Google Scholar 

  • Blumberg D, Jacobson D (1997) New frontiers: remote sensing in social science research. Am Sociol 28(3):62–68

    Article  Google Scholar 

  • Bonnard P (2000) Assessing urban food security, Famine Early Warning System (FEWS) Project Report. Online document: http://www.eldis.org/static/DOC1747.htm. Accessed 20 Feb 2009

  • Brivio PA, Zilioli E (2001) Urban pattern characterization through geostatistical analysis of satellite images. In: Donnay JP, Barnsley MJ, Longley PA (eds) Remote sensing and urban analysis. Taylor & Francis, London, pp 39–54

    Chapter  Google Scholar 

  • Chardon RE, Schwertz EL (1972) An annotated bibliography of remote sensing applied to urban areas, 1950–1971. School of Geoscience Louisiana State University, Baton Rouge, LA

    Google Scholar 

  • Chen K (2002) An approach to linking remotely sensed data and areal census data. Int J Remote Sens 23:37–48

    Article  Google Scholar 

  • Chen D, Stow D (2002) The effect of training strategies on supervised classification at different spatial resolutions. Photogramm Eng Remote Sens 68:1155–1161

    Google Scholar 

  • Chen D, Stow D, Gong P (2004) Examining the effect of spatial resolution on classification accuracy: an urban environmental case. Int J Remote Sens 25:2177–2192

    Article  Google Scholar 

  • Dickinson LC, Boselly SE, Burgmann WW (1974) Defense meteorological satellite program: User’s guide. Air Weather Service (MAC), US Air Force

    Google Scholar 

  • Donnay JP, Barnsley MJ, Longley PA (eds) (2001) Remote sensing and urban analysis. Taylor & Francis, London

    Google Scholar 

  • Elvidge C, Baugh KE, Hibsin VR, Kihn EH, Kroehl HW, Davis ER, Cocero D (1997) Satellite inventory of human settlements using nocturnal radiation emissions: a contribution for the global tool chest. Global Change Biol 3:397–395

    Article  Google Scholar 

  • Fugate D (2003) Environmental context and health: an intra-urban level analysis in Cairo, Egypt. M.A. thesis, San Diego State University, San Diego, CA

    Google Scholar 

  • Gallo KP, Elvidge CD, Yang L, Reed C (2004) Trends in night-time city lights and vegetation indices associated with urbanization within the Conterminous USA. Int J Remote Sens 25:2003–2007

    Article  Google Scholar 

  • Haddad L, Ruel MT, Garrett JL (1999) Are urban poverty and undernutrition growing? Some newly assembled evidence. World Dev 27:1891–1904

    Article  Google Scholar 

  • Harvey JT (2002) Estimating census district populations from satellite imagery: some approaches and limitations. Int J Remote Sens 23:2071–2095

    Article  Google Scholar 

  • Henderson M, Yeh ET, Gong P, Elvidge C, Baugh K (2003) Validation of urban boundaries derived from global night-time satellite imagery. Int J Remote Sens 24:595–609

    Article  Google Scholar 

  • Herold M, Roberts DA, Gardner M, Dennison P (2004) Spectrometry for urban area remote sensing: development and analysis of a spectral library from 350 to 2400 nm. Remote Sens Environ 91:304–319

    Article  Google Scholar 

  • Hutchinson CF (1998) Social science and remote sensing in famine early warning. In: Liverman DM, Moran EF, Rindfuss EE, Stern PC (eds) People and pixels. National Academy Press, Washington, DC, pp 189–196

    Google Scholar 

  • Iisaka J, Hegedus E (1982) Population estimation from Landsat imagery. Remote Sens Environ 12:259–272

    Article  Google Scholar 

  • Imhoff ML, Lawrence WT, Stutzer DC, Elvidge CD (1997) A technique for using composite DMSP/OLS ‘city lights’ satellite data to map urban area. Remote Sens Environ 61:361–370

    Article  Google Scholar 

  • Jensen JR (1996) Introductory digital image processing. Prentice-Hall, Upper Saddle River, NJ

    Google Scholar 

  • Jensen JR, Cowen DC (1999) Remote sensing of urban/suburban infrastructure and socio-economic attributes. Photogramm Eng Remote Sens 65:611–622

    Google Scholar 

  • Kontoes CC, Raptis V, Lautner M, Oberstadler R (2000) The potential of kernal classification techniques for land use mapping in urban areas using 5m spatial resolution IRS-1C imagery. Int J Remote Sens 21:3145–3151

    Article  Google Scholar 

  • Lindgren DT (1971) Dwelling unit estimation with color-IR photos. Photogramm Eng 37:373–377

    Google Scholar 

  • Lo CP (1995) Automated population and dwelling unit estimation from high-resolution satellite images: a GIS approach. Int J Remote Sens 16:17–34

    Article  Google Scholar 

  • Lo CP (1998) Application of Landsat TM data for quality of life assessment in an urban environment. Comp Environ Urban Syst 21:259–276

    Article  Google Scholar 

  • Lo CP (2002) Urban indicators of China from radiance-calibrated digital DMSP-OLS nighttime images. Ann Assoc Am Geographers 92:225–240

    Article  Google Scholar 

  • Lo CP, Choi J (2004) A hybrid approach to urban land use/cover mapping using Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images. Int J Remote Sens 25:2687–2700

    Article  Google Scholar 

  • Lo CP, Welch R (1977) Chinese urban population estimates. Ann Assoc Am Geographers 67:246–253

    Article  Google Scholar 

  • Madhaven BB, Kubo S, Kurisaki N, Sivakumar TVLN (2001) Appraising the anatomy and spatial growth of the Bangkok Metropolitan area using a vegetation-impervious-soil model through remote sensing. Int J Remote Sens 22:789–806

    Article  Google Scholar 

  • Netzband M, Stefanov WL (2003) Assessment of urban spatial variation using ASTER data. Int Arch Photogramm Remote Sens Spat Inf Sci 34(7/W9):138–143

    Google Scholar 

  • Nordbeck S (1965) The law of allometric growth. Michigan Inter-University Community of Mathematical Geographers, Ann Arbor, Paper 7

    Google Scholar 

  • Ogrosky C (1975) Population estimates from satellite imagery. Photogramm Eng Remote Sens 41:707–712

    Google Scholar 

  • Orun AB (2004) Automated identification of man-made textural features on satellite imagery by bayesian networks. Photogramm Eng Remote Sens 70:211–216

    Google Scholar 

  • Pesaresi M, Bianchin A (2001) Recognizing settlement structure using mathematical morphology and image texture. In: Donnay JP, Barnsley MJ, Longley PA (eds) Remote sensing and urban analysis. Taylor & Francis, London, pp 55–68

    Chapter  Google Scholar 

  • Ramsey SWE, MS CPR (2001) Monitoring urban land cover change: an expert system approach to land cover classification of semiarid to arid regions. Remote Sens Environ 77:173–185

    Article  Google Scholar 

  • Ranchin T, Wald L, Mangolini M (2001) Improving the spatial resolution of remotely-sensed images by sensor fusion: a general solution using the ARSIS method. In: Donnay JP, Barnsley MJ, Longley PA (eds) Remote sensing and urban analysis. Taylor & Francis, London, pp 21–38

    Chapter  Google Scholar 

  • Rao RS, Cook AM (2004) New eye in the sky. RESOURCESAT-1, Imaging Notes, Winter 2004, pp 9–30

    Google Scholar 

  • Rashed T, Weeks JR, Gadalla M, Hill A (2001) Revealing the anatomy of cities through spectral mixture analysis of multispectral satellite imagery: a case study of the greater Cairo region, Egypt. Geocarto Int 16(4):5–16

    Article  Google Scholar 

  • Rashed T, Weeks JR, Stow DA, Fugate D (2005) Measuring temporal compositions of urban morphology through spectral mixture analysis: toward a soft approach to change analysis in crowded cities. Int J Remote Sens 26:699–718

    Article  Google Scholar 

  • Ridd M (1995) Exploring a V-I-S (Vegetation-Impervious Surface-soil) model for urban ecosystem analysis through remote sensing: comparative anatomy of cities. Int J Remote Sens 16:2165–2185

    Article  Google Scholar 

  • Schowengerdt RA (1997) Remote sensing: models and methods for image processing. Academic, San Diego, CA

    Google Scholar 

  • Shaban MA, Dikshit O (2001) Improvement of classification in urban areas by the use of textural features: the case stidy of Lucknow city, Uttar Pradesh. Int J Remote Sens 22:565–593

    Article  Google Scholar 

  • Small C (2001) Estimation of urban vegetation abundance by spectral mixture analysis. Int J Remote Sens 22:1305–1334

    Article  Google Scholar 

  • Stefanov WL (2002) Assessment of landscape fragmentation associated with urban centers using ASTER data. Am Geophys Union EOS Trans 83(47). Abstract B61C-0739

    Google Scholar 

  • Stefanov WL, Christensen PR, Ramsey MS (2001) Remote sensing of urban ecology at regional and global scales: results from the Central Arizona-Phoenix LTER site and ASTER Urban Environmental Monitoring program, In: Juergens C (ed) Remote sensing of urban areas – Fernerkundung in urbanen Räumen. In: Proceedings (Abstracts and Full papers on Supplement CD-ROM) of the 2nd international symposium held in Regensburg/Germany, 22–23 June 2001. Regensburger Geographische Schriften 35, pp 313–321 (on supplemental CD ROM)

    Google Scholar 

  • Sutton P (1997) Modeling population density with night-time satellite imagery and GIS. Comp Environ Urban Syst 21:227–244

    Article  Google Scholar 

  • Sutton P (2003) A scale-adjusted measure of “urban sprawl” using nighttime satellite imagery. Remote Sens Environ 86:353–369

    Article  Google Scholar 

  • Sutton P, Roberts DA, Elvidge C, Meij H (1997) A comparison of nighttime satellite imagery and population density for the Continental United States. Photogrammetric Engineering & Remote Sensing 63:1303–1313

    Article  Google Scholar 

  • Sutton P, Roberts DA, Elvidge C, Baugh K (2001) Census from Heaven: an estimate of the global human population using night-time satellite imagery. Int J Remote Sens 22:3061–3076

    Article  Google Scholar 

  • Tatem AJ, Hay SA (2004) Measuring urbanization pattern and extent for Malaria research: a review of remote sensing approaches. J Urban Health 81:363–376

    Article  Google Scholar 

  • Thomson CN, Hardin N (2000) Remote sensing/GIS integration to identify potential low-income housing sites. Cities 17:97–109

    Article  Google Scholar 

  • Tobler W (1969) Satellite confirmation of settlement size coefficients. Area 1:30–34

    Google Scholar 

  • Vlahov D, Galea S (2003) Urban health: a new discipline. Lancet 362:1091–1093

    Article  Google Scholar 

  • Walsh SJ, Welsh WF (2003) Approaches for linking people, place, and environment for human dimensions research. Geocarto Int 18(3):51–61

    Article  Google Scholar 

  • Weeks JR, Getis A, Hill AG, Gadalla MS, Rashed T (2004) The fertility transition in Egypt: intra-urban patterns in Cairo. Ann Assoc Am Geographers 94:74–93

    Article  Google Scholar 

  • Weeks JR, Larson D, Fugate D (2005) Patterns of urban land use as assessed by satellite imagery: an application to Cairo, Egypt. In: Entwisle B, Rindfuss R, Stern P (eds) Population, land use, and environment: research directions. National Academies Press, Washington, DC, pp 265–286

    Google Scholar 

  • Welch R (1982) Spatial resolution requirements for urban studies. Int J Remote Sens 3:139–146

    Article  Google Scholar 

  • Westmoreland S, Stow DA (1992) Category identification of changed land-use polygons in an integrated image processing/geographic information system. Photogramm Eng Remote Sens 58:1593–1599

    Google Scholar 

  • Wilson EH, Hurd JD, Civco DL, Prisloe MP, Arnold C (2003) Development of a geospatial model to quantify, describe and map urban growth. Remote Sens Environ 86:273–285

    Article  Google Scholar 

  • Wu CS, Murray AT (2003) Estimating impervious surface distribution by spectral mixture analysis. Remote Sens Environ 84:493–505

    Article  Google Scholar 

  • Wu W, Courel MF, Rhun KL (2003) Application of remote sensing to the urban expansion analysis for Nouakchott, Mauritania. Geocarto Int 18(1):17–24

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Debbie Fugate .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer Netherlands

About this chapter

Cite this chapter

Fugate, D., Tarnavsky, E., Stow, D. (2010). A Survey of the Evolution of Remote Sensing Imaging Systems and Urban Remote Sensing Applications. In: Rashed, T., Jürgens, C. (eds) Remote Sensing of Urban and Suburban Areas. Remote Sensing and Digital Image Processing, vol 10. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-4385-7_7

Download citation

Publish with us

Policies and ethics