A conceptual list of indicators for urban planning and management based on Earth Observation

ISPRS International Journal of Geo-Information

Volumn 3, Issue 3, 2014, Pages 980-1002

  Chrysoulakis, Nektarios ^a   Feigenwinter, Christian ^b   Triantakonstantis, Dimitrios ^a   Penyevskiy, Igor ^c   Tal, Abraham ^d   Parlow, Eberhard ^b   Fleishman, Guy ^d   Düzgün, Sebnem ^e   Esch, Thomas ^f   Marconcini, Mattia ^f  

^a INSTITUTE OF COMPUTER SCIENCE   (Greece)

^b UNIVERSITY OF BASEL   (Switzerland)

^c GRAD Inform Ltd   (Russian Federation)

^d GARD Ltd   (Israel)

^e MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

^f GERMAN AEROSPACE CENTER DLR   (Germany)

Author keywords

Climate change; Earth Observation; Urban indicators; Urban planning

Indexed keywords

EID: 84924250498     PISSN: None     EISSN: 22209964     Source Type: Journal    
DOI: 10.3390/ijgi3030980     Document Type: Article

References (74)

1. United Nations Population Prospect. World Population Prospects-The 2008 Revision; United Nations Population Prospect: New York, NY, USA, 2008.
2. Campbell, S. Green cities, growing cities, just cities? Urban planning and the contradictions of sustainable development. J. Am. Plan. Assoc. 1996, 62, 296-312.
3. Shen, L.Y.; Ochoa, J.; Shah, M.N.; Zhang, X. The application of urban sustainability indicators-A comparison between various practices. Habitat Int. 2011, 35, 17-29.
4. Zhang, X.; Wu, Y.; Shen, L. An evaluation framework for the sustainability of urban land use: A study of capital cities and municipalities in China. Habitat Int. 2011, 35, 141-149.
5. 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.; et al. Sustainable urban metabolism as a link between bio-physical sciences and urban planning: The BRIDGE project. Landsc. Urban Plan. 2013, 112, 100-117.
6. González, A.; Donnelly, A.; Jones, M.; Chrysoulakis, N.; Lopes, M. A decision-support system for sustainable urban metabolism in Europe. Environ. Impact Assess. Rev. 2013, 38, 109-119.
7. Taubenböck, H.; Esch, T. Remote Sensing-An Effective Data Source for Urban Monitoring. Earth Observation, Urban Monitoring, 20 July 2011.
8. Barnsley, M.J.; Barr, S.L. Monitoring urban land use by earth observation. Surv. Geophys. 2000, 21, 269-289.
9. Huang, J.; Lu, X.X.; Sellers, J.M. A global comparative analysis of urban form: Applying spatial metrics and remote sensing. Landsc. Urban Plan. 2007, 82, 184-197.
10. Esch, T.; Thiel, M. How can Earth Observation Support the Sustainable Development of Urban Environments? Urban Remote Sensing. In Proceedings of the 46th ISOCARP Congress, Nairobi, Kenya, 19-23 September 2010; pp. 1-13.
11. Huang, S.L.; Wong, J.H.; Chen, T.C. A framework of indicator system for measuring Taipei's urban sustainability. Landsc. Urban Plan. 1998, 42, 15-27.
12. Esch, T.; Taubenböck, H.; Chrysoulakis, N.; Düzgün, H.S.; Tal, A.; Feigenwinter, C.; Parlow, E. Exploiting Earth Observation in Sustainable Urban Planning and Management-The GEOURBAN Project. In Proceedings of the Joint Urban Remote Sensing Event JURSE, Sao Paulo, Brazil, 21-23 April 2013.
13. Kottek, M.; Grieser, J.; Beck, C.; Rudolf, B.; Rubel, F. World map of the Köppen-Geiger climate classification updated. Meteorol. Z. 2006, 15, 259-263.
14. Chrysoulakis, N. 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. J. Geophys. Res. 2003, 108, 4582, doi:10.1029/2003JD003396.
15. Frey, C.M.; Parlow, E. Geometry effect on the estimation of band reflectance in an urban area. Theor. Appl. Climatol. 2009, 96, 395-406.
16. Keramitsoglou, I.; Daglis, I.A.; Amiridis, V.; Chrysoulakis, N.; Ceriola, G.; Manunta, P.; Maiheu, B.; de Ridder, K.; Paganini, M. Evaluation of satellite-derived products for the characterization of the urban thermal environment. J. Appl. Remote Sens. 2012, 6, 061704.
17. Lu, D.; Weng, Q. A survey of image classification methods and techniques for improving classification performance. Int. J. Remote Sens. 2007, 28, 823-870.
18. Lu, D.; Mausel, P.; Brondízio, E.; Moran, E. Change detection techniques. Int. J. Remote Sens. 2004, 25, 2365-2401.
19. Mitraka, Z.; Chrysoulakis, N.; Kamarianakis, Y.; Partsinevelos, P.; Tsouchlaraki, A. Improving the estimation of urban surface emissivity based on sub-pixel classification of high resolution satellite imagery. Remote Sens. Environ.2012, 117, 125-134.
20. North, P.; Grey, W.; Heckel, A.; Fischer, J.; Preusker, R.; Brockmann, C. 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; European Space Agency: Frascati, Italy, 2009.
21. Toutin, T. Elevation modeling from satellite visible and infrared (VIR) data. Int. J. Remote Sens. 2001, 22, 1097-1125.
22. Esch, T.; Thiel, M.; Schenk, A.; Roth, A.; Müller, A.; Dech, S. Delineating of urban footprints from TerraSAR-X data by analyzing speckle characteristics and intensity information. IEEE Trans. Geosci. Remote Sens. 2010, 48, 905-916.
23. Wurm, M.; Taubenböck, H.; Schardt, M.; Esch, T.; Dech, S. Object-based image information fusion using multisensor Earth observation data over urban areas. Int. J. Image Data Fusion 2011, 2, 121-147.
24. Wong, C. Determining factors for local economic development: The perception of practitioners in the north west and eastern regions of the UK. Reg. Stud. 1998, 32, 707-720.
25. González, A.; Donnelly, A.; Jones, M.; Klostermann, J.; Groot, A.; Breil, M. Community of practice approach to developing urban sustainability indicators. J. Environ. Assess. Policy Manag. 2011, 13, 1-27.
26. Kanaroglou, P.S.; Soulakellis, N.A.; Sifakis, N.I. Improvement of satellite derived pollution maps with the use of a geostatistical interpolation method. J. Geogr. Syst. 2002, 4, 193-208.
27. Benas, N.; Beloconi, A.; Chrysoulakis, N. Urban PM Estimation Based on MERIS/AATSR Synergy Derived AOT and MODIS Level-2 Atmospheric Parameters. In Proceedings of the 3rd MERIS/(A)ATSR and OCLI-SLSTR (Sentinel-3) Preparatory Workshop, ESA-ESRIN, Frascati, Italy, 15-19 October 2012; pp. 111-112.
28. Lee, H.Y.; Kim, T.; Park, W.; Lee, H.K. Extraction of digital elevation models from satellite stereo images through stereo matching based on epipolarity and scene geometry. Image Vis. Comput. 2003, 21, 789-796.
29. Zhang, C.; Fraser, C. Generation of digital surface model from high resolution satellite imagery. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2008, 37, 785-790.
30. Wu, S.; Qiu, X.; Wang, L. Population estimation methods in GIS and remote sensing: A review. GISci. Remote Sens. 2005, 42, 80-96.
31. Qiu, F.; Woller, K.L.; Briggs, R. Modeling urban population growth from remotely sensed imagery and tiger GIS road data. Photogramm. Eng. Remote Sens. 2003, 69, 1031-1042.
32. Wurm, M.; Taubenböck, H.; Krings, S.; Birkmann, J.; Roth, A.; Dech, S. Derivation of Population Distribution for Vulnerability Assessment in Flood-Prone German Cities Using Multisensoral Remote Sensing Data; SPIE Europe: Berlin, Germany, 2009.
33. Lopes, C.; Adnot, J.; Santamouris, M.; Klitsikas, N.; Alvarez, S.; Sanchez, F. Managing the Growth of the Demand for Cooling in Urban Areas and Mitigating the Urban Heat Island Effect. In Proceedings of the ECEEE Congress, Mandelieu, France, 11-16 June 2001; Volume II.
34. Huq, S.; Kovats, S.; Reid, H.; Satterthwaite, D. Editorial: Reducing risks to cities from disasters and climate change. Environ. Urban 2007, 19, 3-15.
35. Hammer, A.; Heinemann, D.; Hoyer, C.; Kuhlemann, R.; Lorenz, E.; Müller, R.; Beyer, H.G. Solar energy assessment using remote sensing technologies. Remote Sens. Environ. 2003, 86, 423-432.
36. Yu, B.; Liu, H.; Wu, J.; Lin, W.M. Investigating impacts of urban morphology on spatio-temporal variations of solar radiation with airborne LIDAR data and a solar flux model: A case study of downtown Houston. Int. J. Remote Sens. 2009, 30, 4359-4385.
37. Lindberg, F.; Grimmond, C.S.B. Continuous sky view factor from high resolution urban digital elevation models. Clim. Res. 2010, 42, 177-183.
38. Ioncica, M.; Petrescu, E.C.; Ioncica, D. Transports and consumers' ecological behavior. Amfiteatru Econ. 2012, 14, 70-83.
39. Jin, X.; Davis, C.H. An integrated system for automatic road mapping from high-resolution multi-spectral satellite imagery by information fusion. Inf. Fusion 2005, 6, 257-273.
40. Mena, J.B.; Malpica, J.A. An automatic method for road extraction in rural and semi-urban areas starting from high resolution satellite imagery. Pattern Recognit. Lett. 2005, 26, 1201-1220.
41. Voogt, J.; Oke, T. Thermal remote sensing of urban climates. Remote Sens. Environ. 2003, 86, 370-384.
42. Small, C. Comparative analysis of urban reflectance and surface temperature. Remote Sens. Environ. 2006, 104, 168-189.
43. Weng, Q. Thermal infrared remote sensing for urban climate and environmental studies: Methods, applications, and trends. ISPRS J. Photogramm. Remote Sens. 2009, 64, 335-344.
44. Schaaf, C.B.; Gao, F.; Strahler, A.H.; Lucht, W.; Li, X.; Tsang, T.; Strugnell, N.C.; Zhang, X.; Jin, Y.; Muller, J.P.; et al. First operational BRDF, albedo nadir reflectance products from MODIS. Remote Sens. Environ. 2002, 83, 135-148.
45. Frey, C.; Parlow, E. Flux measurements in Cairo. Part 2: On the determination of the spatial radiation and energy balance using ASTER satellite data. Remote Sens. 2012, 4, 2635-2660.
46. Liang, S. Narrowband to broadband conversions of land surface albedo I Algorithms. Remote Sens. Environ. 2000, 76, 213-238.
47. Zhang, J.; Foody, G.M. Fully-fuzzy supervised classification of sub-urban land cover from remotely sensed imagery: Statistical and artificial neural network approaches. Int. J. Remote Sens. 2001, 22, 615-628.
48. Zhang, Q.J.; Gong, P.; Shi, P. Study of urban spatial patterns from SPOT panchromatic imagery using textural analysis. Int. J. Remote Sens. 2003, 24, 4137-4160.
49. Herold, M.; Mueller, S.; Guenter, S.; Scepan, J. Object-Oriented Mapping and Analysis of Urban Land Use/Cover Using IKONOS Data. In Geoinformation for European-Wide Integration, Proceedings of the 22nd EARSEL Symposium, Prague, Czech Republic, 4-6 June 2002; IOS Press: Amsterdam, The Netherlands, 2002; pp. 531-538.
50. Lu, D.; Weng, Q. Use of impervious surface in urban land-use classification. Remote Sens. Environ. 2006, 102, 146-160.
51. Jat, M.K.; Garg, P.K.; Khare, D. Monitoring and modeling of urban sprawl using remote sensing and GIS techniques. Int. J. Appl. Earth Obs. Geoinf. 2008, 10, 26-43.
52. Powell, R.; Roberts, D.; Dennison, P.; Hess, L. Sub-pixel mapping of urban land cover using multiple endmember spectral mixture analysis: Manaus, Brazil. Remote Sens. Environ. 2007, 106, 253-267.
53. Rees, W.G. Comparing the spatial content of thematic Maps. Int. J. Remote Sens. 2008, 29, 3833-3844
54. Pacifici, F.; Chini, M.; Emery, W.J. A neural network approach using multi-scale textural metrics from very high-resolution panchromatic imagery for urban land-use classification. Remote Sens. Environ. 2009, 113, 1276-1292.
55. Mountrakis, G.; Im, J.; Ogole, C. Support vector machines in remote sensing: A review. ISPRS J. Photogramm. Remote Sens. 2011, 66, 247-259.
56. Bruzzone, L.; Chi, M.; Marconcini, M. A novel transductive SVM for the semisupervised classification of remote sensing images. IEEE Trans. Geosci. Remote Sens. 2006, 44, 3363-3373.
57. Mari, M.J.; Bovolo, F.; Comez-Chova, L.; Bruzzone, L.; Camps-Valls, G. Semisupervised one-class support vector machines for classification of remote sensing data. IEEE Trans. Geosci. Remote Sens. 2010, 48, 3188-3197.
58. Camps-Valls, G.; Marsheva, T.B.; Zhou, D. Semi-supervised graph-based hyperspectral image classification. IEEE Trans. Geosci. Remote Sens. 2007, 45, 3044-3054.
59. Small, C. Estimation of urban vegetation abundance by spectral mixture analysis. Int. J. Remote Sens. 2001, 22, 1305-1334.
60. Verrelst, J. Space-Born Spectro-Directional Estimation of Forest Properties. Ph.D. Thesis, Wageningen University, Wageningen, The Netherlands, 2010.
61. Chrysoulakis, N.; Flouri, E.; Diamandakis, E.; Dougalis, V.; Synolakis, C.E.; Foteinis, S. Remote Sensing in Support of Tsunami Mitigation Planning in the Mediterranean. In Proceedings of the 1st International Conference on Remote Sensing Techniques in Disaster Management and Emergency Response in the Mediterranean Region, Zadar, Croatia, 22-24 September 2008.
62. Taubenböck, H.; Goseberg, N.; Setiadi, N.; Lämmel, G.; Moder, F.; Oczipka, M.; Klüpfel, H.; Wahl, R.; Schlurmann, T.; Strunz, G.; et al. Last-mile preparation for a potential disaster-Interdisciplinary approach towards tsunami early warning and an evacuation information system for the coastal city of Padang, Indonesia. Nat. Hazards Earth Syst. Sci. 2009, 9, 1509-1528.
63. Grubler, A.; Bai, X.; Buettner, T.; Dhakal, S.; Fisk, D.; Ichinose, T.; Keirstead, J.; Sammer, G.; Satterthwaite, D.; Schulz, N. Urban Energy Systems. In Global Energy Assessment: Toward a Sustainable Future; Gomez-Echeverri, L., Johansson, T.B., Nakicenovic, N., Patwardhan, A. Eds.; Cambridge University Press: Cambridge, UK/New York, NY, USA; IIASA: Laxenburg, Austria, 2012; pp. 1307-1400.
64. EEA. Urban Adaption to Climate Change in Europe: Challenges and Opportunities for Cities Together with Supportive National and European Policies; European Environment Agency Report 2/2012; European Environment Agency: Copenhagen, Denmark, 2012.
65. Scavia, D.; Field, J.; Boesch, D.; Buddemeier, R.; Burkett, V.; Cayan, D.; Fogarty, M.; Harwell, M.A.; Howarth, R.W.; Mason, C. Climate change impacts on U.S. coastal and marine ecosystems. Estuaries 2002, 25, 149-164.
66. Martin, D.; Bélanger, D.; Gosselin, P.; Brazeau, J.; Furgal, C.; Déry, S. Drinking water and potential threats to human health in Nunavik: Adaptation strategies under climate change conditions. Arctic 2007, 60, 195-202.
67. Minnett, P.J. Satellite Remote Sensing: Sea Surface Temperatures. In Encyclopedia of Ocean Sciences; Steele, J., Thorpe, S., Turekian, K., Eds.; Academic Press: London, UK, 2001; pp. 2552-2563.
68. Corburn, J. Cities, climate change and urban heat island mitigation: Localising global environmental science. Urban Stud. 2009, 46, 413-427.
69. Stone, B. Land use as climate change mitigation. Environ. Sci. Technol. 2009, 43, 9052-9056.
70. Dousset, B.; Gourmelon, F.; Laaidi, K.; Zeghnoun, A.; Giraudet, E.; Bretin, P.; Mauri, E.; Vandentorren, S. Satellite monitoring of summer heat waves in the Paris metropolitan area. Int. J. Climatol. 2011, 31, 313-323.
71. Fernandes, R.; Fraser, R.; Latifovic, R.; Cihlar, J.; Beaubien, J.; Du, Y. Approaches to fractional land cover and continuous field mapping: A comparative assessment over the BOREAS study region. Remote Sens. Environ. 2004, 89, 234-251.
72. Scanlon, T.M.; Albertson, J.D.; Caylor, K.K.; Williams, C.A. Determining land surface fractional cover from NDVI and rainfall time series for a savanna ecosystem. Remote Sens. Environ. 2002, 82, 376-388.
73. Seto, K.C.; Güneralp, B.; Hutyra, L. Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools. Proc. Natl. Acad. Sci. USA 2012, 109, 16083-16088.
74. Stone, B.; Vargo, J.; Habeeb, D. Managing climate change in cities: Will climate action plans work? Lands. Urban Plan. 2012, 107, 263-271.