Urban Planning and Design Research (UPDR)

Editor-in-Chief: Prof. Bin Chen
Frequency: Continuous Publication
ISSN Online: 2328-1626
ISSN Print: 2328-1715
Paper Infomation

On-line Εvaluation of Earth Observation Derived Indicators for Urban Planning and Management

Full Text(PDF, 8063KB)  DOI: 10.14355/updr.2015.03.003

Author: Dimitrios Triantakonstantis, Nektarios Chrysoulakis, Anna Sazonova, Thomas Esch, Christian Feigenwinter, Sebnem Düzgün, Ebwerhard Parlow, Mattia Marconcini, Abraham Tal

Abstract: Extensive urbanization and growth of population density have acquired a paramount interest towards a sustainable urban development. Earth Observation (EO) is an important source of information required for urban planning and management. The availability of EO data provides the immense opportunity for urban environmental indicators development easily derived by remote sensors. In this study, the state of the art methods were employed to develop urban planning and management relevant indicators that can be evaluated by using EO data. The importance of this approach lies on providing alternatives for improving urban planning and management, without consuming time and resources in collecting field or archived data. The evaluated urban indicators were integrated into a Web-based Information System that was developed for online exploitation. The results for three case studies are therefore available online and can be used by urban planners and stakeholders in supporting their planning decisions.

Keywords: Urban Indicators; Urban Planning; Earth Observation; Web Information System

Cite this paper:
Dimitrios Triantakonstantis, Nektarios Chrysoulakis, Anna Sazonova, Thomas Esch, Christian Feigenwinter, Sebnem Düzgün, Ebwerhard Parlow, Mattia Marconcini, Abraham Tal. On-line Εvaluation of Earth Observation Derived Indicators for Urban Planning and Management. Urban Planning and Design Research, 2015, 3(0), 17-33. doi: 10.14355/updr.2015.03.003.


[1] Adams, J.B., Sabol, D.E., Kapos, V., Almeida Filho, R., Dar A. Roberts, Smith, M.O., and A.R. Gillespie, 1995, “Classification of multispectral images based on fractions of endmembers: Application to land-cover change in the Brazilian Amazon,” Remote Sensing of Environment, 52 (2): 137-154.

[2] Al-Hamdan, M.Z.; Crosson, W.L.; Economou, S.A.; Estes, Jr., M.G.; Estes, S.M.; Hemmings, S.N.; Kent, S.T.; Puckett, M.; Quattrochi, D.A.; Rickman, D.L.; Wade, G.M.; McClure, L. Environmental public health applications using remote sensing data. Geocarto International 2014, 29, 85-98.

[3] Benas, N., Chrysoulakis, N., and C. Cartalis, 2014, “Urban surface temperature and heat island characteristics and trends in the Mediterranean,” Environmental Science & Technology (accepted).

[4] Benas, N., and N. Chrysoulakis, 2014, “Estimation of land surface albedo time series and trends based on MODIS data,” In: Proceedings of SPIE Remote Sensing 2014: Remote Sensing for Agriculture, Ecosystems, and Hydrology, held in Am,sterdam, Sewptember 22-25.

[5] Benas, N., Beloconi, A., and N. Chrysoulakis, 2013, “Estimation of urban PM10 concentration, based on MODIS and MERIS/AATSR synergistic observations,” Atmospheric Environment, 79: 448 - 454.

[6] Bhatta, B., Saraswati, S., and D. Bandyopadhyay, 2010, “Quantifying the degree of freedom, degree of sprawl, and degree of goodness of urban growth from remote sensing data,” Applied Geography, 30: 96-111.

[7] Brander, L.M., and M.J. Koetse, 2011, “The value of urban open space: Meta-analyses of contingent valuation and hedonic pricing results,” Journal of Environmental Management, 92(10): 2763-2773.

[8] Briassoulis, H., 2001, “Sustainable development and its indicators: through a (planner’s) glass darkly,” Journal of Environmental Planning and Management, 44(3): 409-427.

[9] CEC, 2006, “Cohesion Policy and Cities: the urban contribution to growth and jobs in the regions, Communication from the Commission to the council and parliament,” COM(2006) 385, final, Brussels, Belgium, July 13th.

[10] CEC, 2011, “Territorial Agenda of the European Union 2020: towards an inclusive, smart and sustainable Europe of diverge regions,” Hungary, May 19th.

[11] Chander, G., Markham, B.L., and D.L. Helder, 2009, “Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors,” Remote Sensing of Environment, 113: 893–903.

[12] Chrysoulakis, N., 2003, “Estimation of the all-wave net radiation balance in urban environment with the combined use of Terra/ASTER multispectral imagery and in-situ spatial data,” Journal of Geophysical Research, 108(D18): 4582.

[13] Chrysoulakis, N., Mitraka, Z., Stathopoulou, M., and C. Cartalis, 2013, “A comparative analysis of the urban web of the greater Athens agglomeration for the last 20 years period on the basis of Landsat imagery,” Fresenius Environmental Bulletin, 22: 2139-2144.

[14] Chrysoulakis, N., Esch, T., Parlow, E., Düzgünd, S.H., Τal, A., Sazonova, A., Feigenwinter, C., Triantakonstantis, D., Marconcini, M. and M. Kavour, 2013, “The role of EO in sustainable urban planning and management: the GEOURBAN approach,” In Proceeding of the RSCy2013: First International Conference on Remote Sensing and Geoinformation of Environment, held in Pafos, Cyprus, April 8 - 10.

[15] Chrysoulakis, N., Feigenwinter, C., Triantakonstantis, D., Penyevskiy, I., Tal, A., Parlow, E., Fleishman, G., Düzgün, S., Esch, T., and M.A. Marconcini, 2014, “Conceptual List of Indicators for Urban Planning and Management Based on Earth Observation,” ISPRS International Journal of Geo-Information, 3(3): 980-1002.

[16] Chrysoulakis, N., Lopes, M., San José, R., Grimmond, C.S.B., Jones, M.B., Magliulo, V., Klostermann, J.E.M., Synnefa, A., Mitraka, Z., Castro, E., González, A., Vogt, R., Vesala, T., Spano, D., Pigeon, G., Freer-Smith, P., Staszewski, T., Hodges, N., Mills, G., and C. Cartalis, 2013, “Sustainable urban metabolism as a link between bio-physical sciences and urban planning: the BRIDGE project,” Landscape and Urban Planning, 112: 100-117.

[17] CNES, 2013: http://www.cnes.fr/web/CNES-en/1415-spot.php, 20/07/13.

[18] CSA, 2013: http://www.asc-csa.gc.ca/eng/satellites/default-eo.asp, 20/07/13.

[19] DigitalGlobe, 2013: http://www.digitalglobe.com/about-us/content-collection, 20/07/13.

[20] DLR, 2013a: http://www.dlr.de/eo/en/desktopdefault.aspx /tabid-5725/9296_read-15979/, 20/07/13.

[21] DLR, 2013b: http://www.dlr.de/hr/en/desktopdefault.aspx /tabid-2317/, 20/07/13.

[22] EnMAP, 2013: http://www.enmap.org/, 20/07/13.

[23] ESA, 2013a: https://earth.esa.int/web/guest/missions/esa-operational-eo-missions/envisat/instruments/meris, 20/07/13.

[24] ESA, 2013b: http://www.esa.int/Our_Activities/Operations /GMES_ Sentinels, 20/07/13.

[25] Esch, T., Taubenböck, H., Chrysoulakis, N., Düzgün, H. S., Tal, A., Feigenwinter, C., and E. Parlow, 2013, “Exploiting Earth Observation in Sustainable Urban Planning and Management - the GEOURBAN Project,” In Proceeding of Joint Urban Remote Sensing Event JURSE 2013, held in Sao Paulo, Brazil, April 21 - 23.

[26] Esch, T., Schmidt, M., Breunig, M., Felbier, A, Taubenböck, H., Heldens, W., Riegler, C., Roth, A, and S. Dech, 2011, “Identification and characterization of urban structures using VHR SAR data,” Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International, 1413-1416.

[27] Esch, T., Taubenbock, H., Heldens, W., Thiel, M., Wurm, M., and S. Deck, 2010, “Urban remote sensing: How can earth observation support the sustainable development of urban environments?” Urban Remote Sensing, 46th ISOCARP Congress.

[28] EU Air Quality Standards (http://ec.europa.eu/environment /air/quality/ standards.htm). Last accessed: 3/9/2014.

[29] Ewing, R.H., 2008, “Characteristics, Causes and Effects of Sprawl: A Literature Review,” Urban Ecology, 519-535.

[30] Frey, C.M., and E. Parlow, 2009, “Geometry effect on the estimation of band reflectance in an urban area,” Theoretical and Applied Climatology, 96: 395–406.

[31] Herzele, A.V., and T. Wiedemann, 2003, “A monitoring tool for the provision of accessible and attractive urban green spaces,” Landscape and Urban Planning, 63(2): 109-126.

[32] JAXA, 2013: http://www.eorc.jaxa.jp/ALOS/en/about/about_ index.htm, 20/07/13.

[33] ISRO, 2013: http://www.isro.org/satellites/earthobservation satellites.aspx, 20/07/13.

[34] Keramitsoglou, I., Daglis, I.A., Amiridis, V., Chrysoulakis, N., Ceriola, G., Manunta, P., Maiheu, B., De Ridder, K., and M. Paganini, 2012, “Evaluation of satellite-derived products for the characterization of the urban thermal environment,” Journal of Applied Remote Sensing, 6(1): 061704.

[35] Lakes, T., and H.O. Kim, 2012, “The urban environmental indicator “Biotope Area Ratio”—An enhanced approach to assess and manage the urban ecosystem services using high resolution remote-sensing,” Ecological Indicators, 13(1): 93-103.

[36] Liang, S., 2000, “Narrowband to broadband conversions of land surface albedo: I. Algorithms,” Remote Sensing of Environment, 76: 213-238.

[37] Lu, D., and Q. Weng, 2007, “A survey of image classification methods and techniques for improving classification performance,” International Journal of Remote Sensing, 28: 823–870.

[38] Lu, D., and Q. Weng, 2006, “Use of impervious surface in urban land-use classification,” Remote Sensing of Environment, 102(1–2): 146-160.

[39] Lu, D., Mausel, P., Brondízio, E., and E. Moran, 2004, “Change detection techniques,” International Journal of Remote Sensing, 25(12): 2365–2401.

[40] Masser, I., 2001, “Managing our urban future: The role of remote sensing and geographical information systems,” Habitat International 25(4): 503-512.

[41] Mitraka, Z., Chrysoulakis, N., Kamarianakis, Y., Partsinevelos P., and A. Tsouchlaraki, 2012, “Improving the estimation of urban surface emissivity based on sub-pixel classification of high resolution satellite imagery,” Remote Sensing of Environment 117: 125–134.

[42] North, P., Grey, W., Heckel, A., Fischer, J., Preusker R., and C. Brockmann, 2009, MERIS/AATSR Synergy Algorithms for Cloud Screening, Aerosol Retrieval, and Atmospheric Correction. Algorithm Theoretical Basis Document Land Aerosol and Surface Reflectance ATBD, ESRIN Contract No. 21090/07/I-LG.

[43] NASA, 2013a: http://modis.gsfc.nasa.gov/, 20/07/13.

[44] NASA, 2013b: http://landsat.gsfc.nasa.gov/, 20/07/13.

[45] NASA, 2013c: http://hyspiri.jpl.nasa.gov/, 20/07/13

[46] NOAA, 2013a: http://ngdc.noaa.gov/eog/dmsp.html, 20/07/13.

[47] NOAA, 2013b: http://www2.ncdc.noaa.gov/docs/klm /html/c3/sec3-1.htm, 20/07/13

[48] Phinn, S., Stanford, M., Scarth, P., Murray, A.T., and P.T. Shyy, P.T., 2002, “Monitoring the composition of urban environments based on the vegetation-impervious surface-soil (VIS) model by subpixel analysis techniques,” International Journal of Remote Sensing, 23(20): 4131-4153.

[49] Roberts, D.A., Quattrochi, D.A., Hulley, G.C., Hook, S.J., and R.O. Green, 2012, “Synergies between VSWIR and TIR data for the urban environment: An evaluation of the potential for the Hyperspectral Infrared Imager (HyspIRI) Decadal Survey mission,” Remote Sensing of Environment, 117: 83-101.

[50] Schaaf, C.B., Gao, F., Strahler, A.H., Lucht, W., Li, X., Tsang, T., Strugnell, N.C., Zhang, X., Jin, Y., Muller, J.P., Lewis, P., Barnsley, M., Hobson, P., Disney, M., Roberts, G., Dunderdale, M., Doll, C., d'Entremont, R.P., Hu, B., Liang, S., Privette, J.L., and D. Roy, 2002, “First operational BRDF, albedo nadir reflectance products from MODIS,” Remote Sensing of Environment, 83(1–2): 135-148.

[51] Shen, L.Y., Ochoa, J.J., Shah, M.N., and X. Zhang, 2011, “The application of urban sustainability indicators – a comparison between various practices,” Habitat International, 35: 17-29.

[52] Sobrino, J.A., Jiménez-Muñoz, J.C., and L. Paolini, 2004, “Land surface temperature retrieval from LANDSAT TM 5,” Remote Sensing of Environment, 89: 467–483.

[53] Toutin, Th., 2001, “Elevation modeling from satellite visible and infrared (VIR) data,” International Journal of Remote Sensing, 22: 1097–1125.

[54] Tran, H., Daisuke, U., Shiro, O., and Y. Yoshifumi, 2006, “Assessment with satellite data of the urban heat island effects in Asian mega cities,” International Journal of Applied Earth Observation and Geoinformation, 8: 34-48.

[55] UGS, 2013: http://www.cosmo-skymed.it/en/index.htm, 20/07/13.

[56] United Nations Population Fund, 2008, (http://www.unfpa.org/public).

[57] Wan, Z., Zhang, Y., Zhang, Q., and Z.L. Li, 2004, “Quality assessment and validation of the MODIS global land surface temperature,” International Journal of Remote Sensing, 10: 261-274.

[58] Wassmer, R., 2000, Urban sprawl in a U.S. metropolitan area: Ways to measure and a comparison of the Sacramento area to similar metropolitan areas in California and the U.S., September 8. CSUS Public Policy and Administration Working Paper No. 2000-03, pages: 22.

[59] Werninghaus, R., 2004, TerraSAR-X mission. Proceedings SPIE 5236, SAR Image Analysis, Modeling, and Techniques VI, 9 (January 12, 2004).

[60] Wurm, M., Taubenböck, H., Schardt, M., Esch, T., and S. Dech, 2011, “Object-based image information fusion using multisensor Earth observation data over urban areas,” International Journal of Image and Data Fusion, 2: 121–147.

[61] Yang, X., and Z. Liu, 2005, “Use of satellite-derived landscape imperviousness index to characterize urban spatial growth,” Computers, Environment and Urban Systems, 29(5): 524-540.