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Remote Sensing and Spatial Modelling of the Urban Environment

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Perspectives in Urban Ecology

Abstract

With the beginning “urban millennium” (UNESA 2007), our interest in the societal, economic, and ecological functioning of urban systems is rapidly increasing (Pickett et al. 2001). Half of the world’s population inhabits cities, with an increasing share of megacity dwellers or people living in mega-urban regions (Kraas 2007). Urban agglomerations steer processes from the local to the global level and urban ecological science needs to develop a deeper understanding of how matter and energy flows driven by urban ecosystems function across scales (Grimm et al. 2008; Kaye et al. 2006). While a city’s physical footprint is limited, the ecological footprint of our increasingly urbanized world is rapidly expanding. Urban agglomerations are estimated to extend on an ecological footprint of up to 200–300 times their actual physical size (Folke et al. 1997). The sustainable provision of urban ecosystem services and maintaining urban biodiversity is hence closely connected to mitigating effects of imbalanced rapid urbanization (McGranahan and Satterthwaite 2003). Accordingly, urban ecology is becoming more prominent and will determine how sustainable future cities will develop from an environmental perspective. There is an urgent need for in-depth process understanding and a more profound knowledge of land use decisions that drive the urban structure and thereby heavily impact the urban environment and the provision of ecosystem services. Actually, urban regions offer the most intense interaction of humans with ecosystems and thereby a wealth of opportunities to gain a deeper understanding of related land use processes and impacts on urban ecosystem services. However, urban ecology is intrinsically complex; it exhibits many different research facets and an overarching theory is still to be developed. A methodologically sound basis is mandatory to lay the foundation of such theoretical frameworks and to provide input for model-based research to test hypotheses in urban ecology and land use change (LUC) impacts on urban ecosystem services (Alberti 2005; Pickett et al. 2008).

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References

  • Alberti, M. (2005). The effects of urban patterns on ecosystem function. International Regional Science Review, 28, 168-192

    Article  Google Scholar 

  • Barredo, J.I., Kasanko, M., McCormick, N., & Lavalle, C. (2003). Modelling dynamic spatial processes: simulation of urban future scenarios through cellular automata. Landscape and Urban Planning, 64, 145-160

    Article  Google Scholar 

  • Batty, M. (2003). Agents, Cells and Cities: New Representational Models for Simulating Multi-Scale Urban Dynamics. In CASA (Ed.), WORKING PAPERS SERIES, paper 65. London, England

    Google Scholar 

  • Batty, M. (2007). Cities and Complexity. Cambridge London: MIT Press

    Google Scholar 

  • Benton-Short, L. & Rennie-Short, J. (2008): Cities and Nature. London.

    Google Scholar 

  • Berlin Department of Economy Technology and Women (2010). Development of GDP and economic sectors. In. Berlin: Senatsverwaltung für Wirtschaft, Technologie und Frauen

    Google Scholar 

  • Berlin Department of Urban Development, Senatsverwaltung für Stadtentwicklung Berlin (2009): Digitaler Umweltaltlas Berlin. http://www.stadtentwicklung.berlin.de/umwelt/umweltatlas/

  • Bolund, P., & Hunhammar, S. (1999). Ecosystem services in urban areas. Ecological Economics, 29, 293-301

    Article  Google Scholar 

  • Bousquet, F., & Le Page, C. (2004). Multi-agent simulations and ecosystem management: a review. Ecological Modelling, 176, 312-332

    Article  Google Scholar 

  • Brandenburg State Office for Environment, (2010). Biotop map Brandenburg. In: Landesamt für Umwelt, Gesundheit und Verbraucherschutz (LUGV)

    Google Scholar 

  • Buzar, S., Ogden, P., Hall, R., Haase, A., Kabisch, S., & Steinführer, A. (2007). Splintering urban populations: emergent landscapes of reurbanisation in four European cities. Urban Studies, 44, 5-6

    Article  Google Scholar 

  • Cadenasso, M.L., Pickett, S.T.A., & Grove, J.M. (2006a). Dimensions of ecosystem complexity: Heterogeneity, connectivity, and history. Ecological Complexity, 3, 1-12

    Article  Google Scholar 

  • Cadenasso, M.L., Pickett, S.T.A., & Grove, J.M. (2006b). Integrative approaches to investigating human-natural systems: The Baltimore ecosystem study. Natures Sciences Sociétés, 14, 4-14

    Article  Google Scholar 

  • Cadenasso, M.L., Pickett, S.T.A., & Schwarz, K. (2007). Spatial heterogeneity in urban ecosystems: Reconceptualizing land cover and a framework for classification. Frontiers in Ecology and the Environment, 5, 80-88

    Article  Google Scholar 

  • Canty, M. (2010). Image Analysis, Classification and Change Detection in Remote Sensing, with Algorithms for ENVI/IDL, Second Revised Edition. Taylor & Francis, CRC Press 2010.

    Google Scholar 

  • Cohen, W.B., & Goward, S.N. (2004). Landsat's role in ecological applications of remote sensing. Bioscience, 54, 535-545

    Article  Google Scholar 

  • Costanza, R., & Voinov, E. (2004). Landscape Simulation Modeling: A Spatially Explicit, Dynamic Approach. New York: Springer

    Google Scholar 

  • Dalai-Clayton, B., & B. Sadler (2005). Strategic Environmental Assessment: A Sourcebook and Reference Guide to International Experience, Earthscan Pub., London, U.K.

    Google Scholar 

  • Damm, A. (2009). Hyperspektrale Fernerkundung zur Ableitung pflanzenphysiologischer Parameter von Stadtbäumen – Strahlungstransfermodellierung für Berliner Kastanienbestände. Geomatics Series (ed. P. Hostert), 3, Berlin, Germany.

    Google Scholar 

  • De Man, W.H.E. (2006). Understanding SDI; Complexity and institutionalization. IJGIS, 20, 329-343

    Google Scholar 

  • Dhawan, R. (2005). System dynamics and its impact on managerial decision making. In U.O. Sydney (Ed.), Special Integration Group on Systems Applications in Business and Industry, Saturday, July 2, 2005, at the 49th Annual Meeting of the International Society for the Systems Sciences. Westin, Mexico

    Google Scholar 

  • Engelen, G., White, R., & Uljee, I. (1997). Integrating Constrained Cellular Automata Models, GIS and Decision Support Tools for Urban Planning and Policy Making. In H.P.J. Timmermans (Ed.), Decision Support Systems in Urban Planning (pp. 125-155). London: E&FN Spon

    Google Scholar 

  • Eurimage (2007). LANDSAT, decades of continuous medium-resolution data. http://www.eurimage.com/products/docs/landsat.pdf

  • Eurimage. (2009). "QUICKBIRD, the world’s highest resolution commercial satellite. http://www.eurimage.com/products/docs/quickbird.pdf.

  • Fang, S., Gertner, G.Z., Sun, Z., & Anderson, A.A. (2005). The impact of interactions in spatial simulation of the dynamics of urban sprawl. Landscape and Urban Planning, 73, 294-306

    Article  Google Scholar 

  • Folke, C., Jansson, A., Larsson, J., & Costanza, R. (1997). Ecosystem appropriation by cities. Ambio, 26, 167-172

    Google Scholar 

  • Forrester, J.W. (1969). Urban Dynamics. In: Cambridge, MA: MIT Press

    Google Scholar 

  • Gamba, P., & Chanussot, J. (2008). Foreword to the special issue on data fusion. IEEE Transactions on Geoscience and Remote Sensing, 46, 1283-1288

    Article  Google Scholar 

  • Gamba, P., Benediktsson, J.A., & Wilkinson, G. (2003). Foreword to the special issue on urban remote sensing by satellite. IEEE Transactions on Geoscience and Remote Sensing, 41, 1903-1906

    Article  Google Scholar 

  • Gluch, R., Quattrochi, D.A., & Luvall, J.C. (2006). A multi-scale approach to urban thermal analysis. Remote Sensing of Environment, 104, 123-132

    Article  Google Scholar 

  • Griffiths, P., Hostert, P., Gruebner, O., & Linden, S.V.D. (2009). Mapping megacity growth with multi-sensor data. Remote Sensing of Environment, 114, 426-439

    Article  Google Scholar 

  • Grimm, N.B., Faeth, S.H., Golubiewski, N.E., Redman, C.L., Wu, J.G., Bai, X.M., & Briggs, J.M. (2008). Global change and the ecology of cities. Science, 319, 756-760

    Article  CAS  Google Scholar 

  • Grimm, N.B., Grove, J.M., Pickett, S.T.A., & Redman, C.L. (2000). Integrated approaches to long-term studies of urban ecological systems. Bioscience, 50, 571-584

    Article  Google Scholar 

  • Haag, L., Coenradie, B., Kleinschmit, B., Hostert, P., Damm, A., Goedecke, M., Schneider, T., (2008). Hybrides Kartierungsverfahren der Bodenversiegelung im urbanen Raum – das Ergebnis für Berlin. In: Zeitschrift Bodenschutz, 13. Jahrgang, Heft Nr. 3, 2008, S. 82-87

    Google Scholar 

  • Haase, D., & Schwarz, N. (2009). Simulation models on human-nature interactions in urban landscapes – a review including system dynamics, cellular automata and agent-based approaches. Living Reviews in Landscape Research, 3, 2

    Google Scholar 

  • Haase, D., Lautenbach, S., & Seppelt, R. (2010). Modeling and simulating residential mobility in a shrinking city using an agent-based approach. Environmental Modelling & Software, 25, 1225-1240

    Article  Google Scholar 

  • He, C., Okada, N., Zhang, Q., Shi, P., & Li, J. (2008). Modelling dynamic urban expansion processes incorporating a potential model with cellular automata. Landscape and Urban Planning, 86, 79-91

    Article  Google Scholar 

  • Henniges, Y., & Chmielewski, F.-M. (2007). Stadt-Umland-Gradienten phänologischer Phasen im Raum Berlin 2006. Berlin: Bibliothek der Berlin-Brandenburgischen Akademie der Wissenschaften

    Google Scholar 

  • Herold, M., Goldstein, N.C., & Clarke, K.C. (2003). The spatiotemporal form of urban growth: Measurement, analysis and modeling. Remote Sensing of Environment, 86, 286-302

    Article  Google Scholar 

  • Hobbie, J.E., Carpenter, S.R., Grimm, N.B., Gosz, J.R., & Seastedt, T.R. (2003). The US long term ecological research program. Bioscience, 53, 21-32

    Article  Google Scholar 

  • Hostert, P. (2007). Advanced Approaches in Urban Remote Sensing - Examples from Berlin. In W. Stefanov, M. Netzband & C. Redman (Eds.), Applied Remote Sensing for Urban Planning, Governance and Sustainability: Springer Academic

    Google Scholar 

  • Hostert, P., Swayne, F., Cohen, W.B., & Chipman, J. (2010). The Role of Remote Sensing in LTER Projects. In F. Müller, C. Baessler, H. Schubert & S. Klotz (Eds.), Long-Term Ecological Research (pp. 131-142). Dordrecht: Springer Netherlands

    Chapter  Google Scholar 

  • Hung, T., Uchihama, D., Ochi, S., & Yasuoka, Y. (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

    Article  Google Scholar 

  • Hyyppä, J., Pyysalo, U., & Samberg, A. (2000). Elevation Accuracy of Laser Scanning-Derived Digital Terrain and Target Models in Forest Environment. In EARSeL-SIG-Workshop LIDAR (pp. 139-147). Dresden

    Google Scholar 

  • Jones, C. et al. (2005), Strategic Environmental Assessment and Land Use Planning: An International Evaluation, London: Earthscan

    Google Scholar 

  • Jürgerns, C., & Rashed, T. (Eds.) (2010). Remote Sensing of Urban and Suburban Areas. Berlin: Springer Academic

    Google Scholar 

  • Kaa, D.V.D. (2004). Is the second demographic transition a useful research concept? Vienna Yearbook of Population Research, 2004

    Google Scholar 

  • Kabisch, S. (2005). Empirical analysis on housing vacancy and urban shrinkage. In D.U. Vestbro, Y. Hürol & N. Wilkinson (Eds.), Methodologies in Housing Research (pp. 188-205). Gateshead

    Google Scholar 

  • Kasanko, M., Barredo, J.I., Lavalle, C., McCormick, N., Demicheli, L., Sagris, V., & Brezger, A. (2006). Are European cities becoming dispersed? A comparative analysis of 15 European urban areas. Landscape and Urban Planning, 77, 111-130

    Article  Google Scholar 

  • Kaufmann, R.K., Seto, K.C., Schneider, A., Liu, Z.T., Zhou, L.M., & Wang, W.L. (2007). Climate response to rapid urban growth: Evidence of a human-induced precipitation deficit. Journal of Climate, 20, 2299-2306

    Article  Google Scholar 

  • Kaye, J.P., Groffman, P.M., Grimm, N.B., Baker, L.A., & Pouyat, R.V. (2006). A distinct urban biogeochemistry? Trends in Ecology & Evolution, 21, 192-199

    Article  Google Scholar 

  • Koomen, E., & Stillwell, J. (2007). Modelling land-use change. In E. Koomen, J. Stillwell, A. Bakema & H. Scholten (Eds.), Modelling Land-use Change (pp. 1-24). Dordrecht

    Google Scholar 

  • Kraas, F. (2007). Megacities and global change: Key priorities. Geographical Journal, 173, 79-82

    Article  Google Scholar 

  • Lakes, T., & Pobloth, S. (2005). The evolution of approaches to create urban habitat networks – a case study in Berlin. Die Erde, 136, 23-33

    Google Scholar 

  • Lakes, T., Mueller, D., & Krueger, C. (2009). Cropland change in southern Romania: a comparison of logistic regressions and artificial neural networks. Landscape Ecology, 1195-1206

    Google Scholar 

  • Lauf, S., Haase, D., Seppelt, R., & Schwarz, N. (accepted). Simulating demography and housing demand in an urban region under scenarios of growth and shrinkage. Environment and Planning B: Planning and Design

    Google Scholar 

  • Loibl, W., & Toetzer, T. (2003). Modeling growth and densification processes in suburban regions-simulation of landscape transition with spatial agents. Environmental Modelling & Software, 18, 553-563

    Article  Google Scholar 

  • Loibl, W., Tötzer, T., Köstl, M., & Steinnocher, K. (2007). Simulation of poycentric urban growth through agents. In E. Koomen, J. Stillwell, A. Bakema & H. Scholten (Eds.), Modelling Land-use Change (pp. 219–236). Dordrecht.

    Google Scholar 

  • Lowry, I.S. (1964). A Model of Metropolis. Santa Monica. CA. The RAND Corporation, 136

    Google Scholar 

  • McGranahan, G., & Satterthwaite, D. (2003). Urban centers: An assessment of sustainability. Annual Review of Environment and Resources, 28, 243-274

    Article  Google Scholar 

  • Mimet, A., Pellissier, V., Quenol, H., Aguejdad, R., Dubreuil, V., & Roze, F. (2009). Urbanisation induces early flowering: evidence from Platanus acerifolia and Prunus cerasus. International Journal of Biometeorology, 53, 287-298

    Article  CAS  Google Scholar 

  • Morin, X., Lechowicz, M.J., Augspurger, C., O'Keefe, J., Viner, D., & Chuine, I. (2009). Leaf phenology in 22 North American tree species during the 21st century. Global Change Biology, 15, 961-975

    Article  Google Scholar 

  • Netzband, M., Redman, C.L., & Stefanov, W.L. (Eds.) (2007). Applied Remote Sensing for Urban Planning, Governance and Sustainability. Berlin: Springer Academic

    Google Scholar 

  • Nilsson, J.Å., & Källander, H. (2006). Leafing phenology and timing of egg laying in great tits Parus major and blue tits P. caeruleus. Journal of Avian Biology, 37, 357-363

    Google Scholar 

  • Oberndorfer, E., Lundholm, J., Bass, B., Coffman, R.R., Doshi, H., Dunnett, N., Gaffin, S., Kohler, M., Liu, K.K.Y., & Rowe, B. (2007). Green roofs as urban ecosystems: Ecological structures, functions, and services. Bioscience, 57, 823-833

    Article  Google Scholar 

  • Phinn, S., Stanford, M., Scarth, P., Murray, A.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, 4131-4153

    Article  Google Scholar 

  • Pickett, S. T. A. & Cadenasso, M. L. (2008): Linking ecological and built components of urban mosaics: an open cycle of ecological design. Journal of Ecology 96, 8-12.

    Google Scholar 

  • Pickett, S.T.A., Cadenasso, M.L., Grove, J.M., Groffman, P.M., Band, L.E., Boone, C.G., Burch, W.R., Grimmond, C.S.B., Hom, J., Jenkins, J.C., Law, N.L., Nilon, C.H., Pouyat, R.V., Szlavecz, K., Warren, P.S., & Wilson, M.A. (2008). Beyond urban legends: An emerging framework of urban ecology, as illustrated by the Baltimore ecosystem study. Bioscience, 58, 139-150

    Article  Google Scholar 

  • Pickett, S.T.A., Cadenasso, M.L., Grove, J.M., Nilon, C.H., Pouyat, R.V., Zipperer, W.C., & Costanza, R. (2001). Urban ecological systems: Linking terrestrial ecological, physical, and socioeconomic components of metropolitan areas. Annual Review of Ecology and Systematics, 32, 127-157

    Article  Google Scholar 

  • Pijanowski, B.C., Alexandridis, K.T., & Müller, D. (2006). Modelling urbanization patterns in two diverse regions of the world. Journal of Land Use Science, 1, 83-108

    Article  Google Scholar 

  • Rapid Eye (2010): The RapidEye System. http://www.rapideye.de/home/system/index.html

  • Regional Planning Department Berlin Brandenburg (2010). Master plans, zoning plans, infrastructure data. In: Gemeinsame Landesplanung Berlin Brandenburg (GL)

    Google Scholar 

  • Richards, J.A., & Jia, X. (1999). Remote Sensing Digital Image Analysis: An Introduction. New York: Springer

    Google Scholar 

  • Ridd, M.K. (1995). Exploring a V-I-S (vegetation-impervious surface-soil) model for urban ecosystem analysis through remote-sensing – Comparative anatomy for cities. International Journal of Remote Sensing, 16, 2165-2185

    Article  Google Scholar 

  • Riks (2007). Metronamica, Model description. Maastricht: Research Institute for Knowledge Systems

    Google Scholar 

  • Rutledge, D.T., Cameron, M., Elliott, S., Fenton, T., Huser, B., McBride, G., McDonald, G., O’Connor, M., Phyn, D., Poot, J., Price, R., Scrimgeour, F., Small, B., Tait, A., Van Delden, H., Wedderburn, M.E., & Woods, R.A. (2008). Choosing regional futures: challenges and choices in building integrated models to support long-term regional planning in New Zealand. Regional Science Policy & Practice, 1, 85-108

    Article  Google Scholar 

  • Schneider, A., Seto, K.C., & Webster, D.R. (2005). Urban growth in Chengdu, Western China: application of remote sensing to assess planning and policy outcomes. Environment and Planning B-Planning & Design, 32, 323-345

    Article  Google Scholar 

  • Schneider, T., Goedecke, M., & Lakes, T. (2007). Berlin Urban and Environmental Information System: Application of Remote Sensing for Planning and Governance. In W. Stefanov, M. Netzband & C. Redman (Eds.), Applied Remote Sensing for Urban Planning, Governance and Sustainability (pp. 199-219): Springer

    Google Scholar 

  • Schwartz, M.D. (2003). Phenology: An integrative environmental science. Dordrecht: Kluwer Academic Publication

    Book  Google Scholar 

  • Seppelt, R. (2003). Computer-based Environmental Management. Weinheim: Wiley-VCH Verlag GmbH & Co. KG

    Book  Google Scholar 

  • Seto, K. C. (2009): Global Urban Issues. In: Global Mapping of Human Settlement. London.

    Google Scholar 

  • Seto, K.C., Fleishman, E., Fay, J.P., & Betrus, C.J. (2004). Linking spatial patterns of bird and butterfly species richness with Landsat TM derived NDVI. International Journal of Remote Sensing, 25, 4309-4324

    Article  Google Scholar 

  • SOBB (1991-2008). Municipal Statistics and Census. In: SOBB (Statistical Office Berlin Brandenburg)

    Google Scholar 

  • Spatial Data Infrastructure Berlin, Geodateninfrastruktur Berlin, http://gdi.berlin-brandenburg.de

  • Statistical Office Berlin Brandenburg (2010). Municipal Statistics and Census. In: Amt für Statistik Berlin Brandenburg

    Google Scholar 

  • Sterman, J.D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. Boston: Irwin/McGraw-Hill

    Google Scholar 

  • Teillet, P.M., Guindon, B., & Goodenough, D.G. (1982). On the slope-aspect correction of multispectral scanner data. Canadian Journal of Remote Sensing, 8, 84-106

    Google Scholar 

  • Ti-yan, S., Wei-dong, W., Min, H., Zhao-cheng, G., Ling, X., & Kai-zhong, Y. (2007). Study on spatio-temporal system dynamic models of urban growth. Systems Engineering – Theory & Practice, 27, 10-17

    Google Scholar 

  • Tobler, W. (1979). Cellular Geography. In S. Gale & G. Ollson (Eds.), Philosophy in Geography. Dordrecht, Kluwer

    Google Scholar 

  • Tooke, T.R., Coops, N.C., Goodwin, N.R., & Voogt, J.A. (2009). Extracting urban vegetation characteristics using spectral mixture analysis and decision tree classifications. Remote Sensing of Environment, 113, 398-407

    Article  Google Scholar 

  • Troy, A.R., Grove, J.M., O'Neil-Dunne, J.P.M., Pickett, S.T.A., & Cadenasso, M.L. (2007). Predicting opportunities for greening and patterns of vegetation on private urban lands. Environmental Management, 40, 394-412

    Article  Google Scholar 

  • UNESA (2007). World Population Prospects: The 2006 Revision. In: United Nations

    Google Scholar 

  • Valbuena, D., Verburg, P.H., & Bregt, A.K. (2008). A method to define a typology for agent-based analysis in regional land-use research. Agriculture, Ecosystems and Environment, 128, 27-36

    Article  Google Scholar 

  • Van Delden, H., Luja, P., & Engelen, G. (2007). Integration of multi-scale dynamic spatial models of socio-economic and physical processes for river basin management. Environmental Modelling & Software, 22, 223-238

    Article  Google Scholar 

  • van der Linden, S., & Hostert, P. (2009). The influence or urban surface structures on the accuracy of impervious area maps from airborne hyperspectral data. Remote Sensing of Environment, 113, 2298-2305

    Article  Google Scholar 

  • Verburg, P.H., Kok, K., Pontius, Jr., R.G., & Veldkamp, A. (2006). Modeling land-use and land-cover change. In E.F. Lambin & H. Geist (Eds.), Land-use and Land-cover Change (pp. 117-131). Berlin Heidelberg

    Google Scholar 

  • Wagner, W., Eberhöfer, C., Hollaus, M., & Summer, G. (2004). Robust Filtering of Airborne Laser Scanner Data for Vegetation Analysis. In E.W.M. Moeller (Ed.), ISPRS Working Group VIII/2 – Laser-Scanners for Forest and Landscape Assessment. Freiburg

    Google Scholar 

  • Weng, Q.H., & Quattrochi, D.A. (Eds.) (2006a). Urban Remote Sensing. New York: CRC Press

    Google Scholar 

  • Weng, Q.H., & Quattrochi, D.A. (2006b). Thermal remote sensing of urban areas: An introduction to the special issue. Remote Sensing of Environment, 104, 119-122

    Article  Google Scholar 

  • Wentz, E. A., Stefanov, W. L., Netzband, M., Möller, M. S., Brazel, A. J. (2009): The Urban Environmental Monitoring/100 Cities Project – Legacy of the First Phase and Next Steps. In: Global Mapping of Human Settlement. London.

    Google Scholar 

  • Wesolowski, T., & Rowinski, P. (2006). Timing of bud burst and tree-leaf development in a multispecies temperate forest. Forest Ecology and Management, 237, 387-393

    Article  Google Scholar 

  • White, R., Engelen, G. (1993). Cellular automata and fractal urban form: a cellular modelling approach to the evolution of urban land-use patterns. Environment and Planning A 25, 1175-1199.

    Article  Google Scholar 

  • Wu, J. (2010). Editorial. Urban sustainability: An inevitable goal of landscape research. Landscape Ecology, 25, 1-4

    Google Scholar 

  • Yang, L.M., Xian, G., Klaver, J.M., & Deal, B. (2003). Urban land-cover change detection through sub-pixel imperviousness mapping using remotely sensed data. Photogrammetric Engineering and Remote Sensing, 69, 1003-1010

    Google Scholar 

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We are grateful for the support of this research by grants from the German Research Foundation (DFG; Research Training Group 780).

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Lakes, T., Hostert, P., Kleinschmit, B., Lauf, S., Tigges, J. (2011). Remote Sensing and Spatial Modelling of the Urban Environment. In: Endlicher, W. (eds) Perspectives in Urban Ecology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17731-6_8

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