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.
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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
Blumberg D, Jacobson D (1997) New frontiers: remote sensing in social science research. Am Sociol 28(3):62–68
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
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
Chen K (2002) An approach to linking remotely sensed data and areal census data. Int J Remote Sens 23:37–48
Chen D, Stow D (2002) The effect of training strategies on supervised classification at different spatial resolutions. Photogramm Eng Remote Sens 68:1155–1161
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
Dickinson LC, Boselly SE, Burgmann WW (1974) Defense meteorological satellite program: User’s guide. Air Weather Service (MAC), US Air Force
Donnay JP, Barnsley MJ, Longley PA (eds) (2001) Remote sensing and urban analysis. Taylor & Francis, London
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
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
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
Haddad L, Ruel MT, Garrett JL (1999) Are urban poverty and undernutrition growing? Some newly assembled evidence. World Dev 27:1891–1904
Harvey JT (2002) Estimating census district populations from satellite imagery: some approaches and limitations. Int J Remote Sens 23:2071–2095
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
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
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
Iisaka J, Hegedus E (1982) Population estimation from Landsat imagery. Remote Sens Environ 12:259–272
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
Jensen JR (1996) Introductory digital image processing. Prentice-Hall, Upper Saddle River, NJ
Jensen JR, Cowen DC (1999) Remote sensing of urban/suburban infrastructure and socio-economic attributes. Photogramm Eng Remote Sens 65:611–622
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
Lindgren DT (1971) Dwelling unit estimation with color-IR photos. Photogramm Eng 37:373–377
Lo CP (1995) Automated population and dwelling unit estimation from high-resolution satellite images: a GIS approach. Int J Remote Sens 16:17–34
Lo CP (1998) Application of Landsat TM data for quality of life assessment in an urban environment. Comp Environ Urban Syst 21:259–276
Lo CP (2002) Urban indicators of China from radiance-calibrated digital DMSP-OLS nighttime images. Ann Assoc Am Geographers 92:225–240
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
Lo CP, Welch R (1977) Chinese urban population estimates. Ann Assoc Am Geographers 67:246–253
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
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
Nordbeck S (1965) The law of allometric growth. Michigan Inter-University Community of Mathematical Geographers, Ann Arbor, Paper 7
Ogrosky C (1975) Population estimates from satellite imagery. Photogramm Eng Remote Sens 41:707–712
Orun AB (2004) Automated identification of man-made textural features on satellite imagery by bayesian networks. Photogramm Eng Remote Sens 70:211–216
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
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
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
Rao RS, Cook AM (2004) New eye in the sky. RESOURCESAT-1, Imaging Notes, Winter 2004, pp 9–30
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
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
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
Schowengerdt RA (1997) Remote sensing: models and methods for image processing. Academic, San Diego, CA
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
Small C (2001) Estimation of urban vegetation abundance by spectral mixture analysis. Int J Remote Sens 22:1305–1334
Stefanov WL (2002) Assessment of landscape fragmentation associated with urban centers using ASTER data. Am Geophys Union EOS Trans 83(47). Abstract B61C-0739
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)
Sutton P (1997) Modeling population density with night-time satellite imagery and GIS. Comp Environ Urban Syst 21:227–244
Sutton P (2003) A scale-adjusted measure of “urban sprawl” using nighttime satellite imagery. Remote Sens Environ 86:353–369
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
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
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
Thomson CN, Hardin N (2000) Remote sensing/GIS integration to identify potential low-income housing sites. Cities 17:97–109
Tobler W (1969) Satellite confirmation of settlement size coefficients. Area 1:30–34
Vlahov D, Galea S (2003) Urban health: a new discipline. Lancet 362:1091–1093
Walsh SJ, Welsh WF (2003) Approaches for linking people, place, and environment for human dimensions research. Geocarto Int 18(3):51–61
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
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
Welch R (1982) Spatial resolution requirements for urban studies. Int J Remote Sens 3:139–146
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
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
Wu CS, Murray AT (2003) Estimating impervious surface distribution by spectral mixture analysis. Remote Sens Environ 84:493–505
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
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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
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DOI: https://doi.org/10.1007/978-1-4020-4385-7_7
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