A Conceptual List of Indicators for Urban Planning and Management Based on Earth Observation

Sustainable development is a key component in urban studies. Earth Observation (EO) can play a valuable role in sustainable urban development and planning, since it represents a powerful data source with the potential to provide a number of relevant urban sustainability indicators. To this end, in this paper we propose a conceptual list of EO-based indicators capable of supporting urban planning and management. Three cities with different typologies, namely Basel, Switzerland; Tel Aviv, Israel; and Tyumen, Russia were selected as case studies. The EO-based indicators are defined to effectively record the physical properties of the urban environment in a diverse range of environmental sectors such as energy efficiency, air pollution and public health, water, transportation and vulnerability to hazards. The results assess the potential of EO to support the development of a set of urban environmental indicators towards sustainable urban planning and management.

[1]  W. G. Rees,et al.  Comparing the spatial content of thematic maps , 2008 .

[2]  Global Energy Assessment Writing Team Global Energy Assessment: Toward a Sustainable Future , 2012 .

[3]  Eberhard Parlow,et al.  Flux Measurements in Cairo. Part 2: On the Determination of the Spatial Radiation and Energy Balance Using ASTER Satellite Data , 2012, Remote. Sens..

[4]  E. João,et al.  STRATEGIC ENVIRONMENTAL ASSESSMENT AS A TOOL TO CONTRIBUTE TO HIGH-LEVEL POLICY OBJECTIVES , 2011 .

[5]  Nektarios Chrysoulakis,et al.  Improving the estimation of urban surface emissivity based on sub-pixel classification of high resolution satellite imagery , 2012 .

[6]  C. Small Estimation of urban vegetation abundance by spectral mixture analysis , 2001 .

[7]  J. Verrelst Space-born spectrodirectional estimation of forest properties , 2010 .

[8]  Brian Stone,et al.  Land use as climate change mitigation. , 2009, Environmental science & technology.

[9]  Xiaoling Zhang,et al.  An evaluation framework for the sustainability of urban land use: A study of capital cities and municipalities in China , 2011 .

[10]  Osvaldo E. Sala,et al.  Climate Change Impacts on , 2008 .

[11]  Peng Gong,et al.  Study of urban spatial patterns from SPOT panchromatic imagery using textural analysis , 2003 .

[12]  Qihao Weng,et al.  A survey of image classification methods and techniques for improving classification performance , 2007 .

[13]  Scott D. Campbell,et al.  Green Cities, Growing Cities, Just Cities? Urban Planning and the Contradictions of Sustainable , 1996 .

[14]  Stuart Barr,et al.  Monitoring Urban Land Use by Earth Observation , 2000 .

[15]  Pierre Gosselin,et al.  Drinking Water and Potential Threats to Human Health in Nunavik: Adaptation Strategies under Climate Change Conditions , 2009 .

[16]  Jungho Im,et al.  ISPRS Journal of Photogrammetry and Remote Sensing , 2022 .

[17]  Stefan Dech,et al.  Derivation of population distribution for vulnerability assessment in flood-prone German cities using multisensoral remote sensing data , 2009, Remote Sensing.

[18]  R. Fernandes,et al.  Approaches to fractional land cover and continuous field mapping: A comparative assessment over the BOREAS study region , 2004 .

[19]  Lorenzo Bruzzone,et al.  A Novel Transductive SVM for Semisupervised Classification of Remote-Sensing Images , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[20]  Giles M. Foody,et al.  Fully-fuzzy supervised classification of sub-urban land cover from remotely sensed imagery: Statistical and artificial neural network approaches , 2001 .

[21]  H. Taubenbock,et al.  Exploiting earth observation in sustainable urban planning and management — The GEOURBAN project , 2013, Joint Urban Remote Sensing Event 2013.

[22]  Todd M. Scanlon,et al.  Determining land surface fractional cover from NDVI and rainfall time series for a savanna ecosystem , 2002 .

[23]  Elena Mauri,et al.  Satellite monitoring of summer heat waves in the Paris metropolitan area , 2011 .

[24]  Deepak Khare,et al.  Monitoring and modelling of urban sprawl using remote sensing and GIS techniques , 2008, Int. J. Appl. Earth Obs. Geoinformation.

[25]  Judith Klostermann,et al.  COMMUNITY OF PRACTICE APPROACH TO DEVELOPING URBAN SUSTAINABILITY INDICATORS , 2011 .

[26]  Ranz,et al.  World Map of the Köppen-Geiger climate classification updated — Source link , 2006 .

[27]  Hannes Taubenböck,et al.  Remote Sensing – An Effective Data Source for Urban Monitoring , 2011 .

[28]  T. Oke,et al.  Thermal remote sensing of urban climates , 2003 .

[29]  Curt H. Davis,et al.  An integrated system for automatic road mapping from high-resolution multi-spectral satellite imagery by information fusion , 2005, Inf. Fusion.

[30]  T. Esch,et al.  Urban remote sensing How can earth observation support the sustainable development of urban environments , 2010 .

[31]  C. Small Comparative analysis of urban reflectance and surface temperature , 2006 .

[32]  Xixi Lu,et al.  A global comparative analysis of urban form: Applying spatial metrics and remote sensing , 2007 .

[33]  Jason Corburn,et al.  Cities, Climate Change and Urban Heat Island Mitigation: Localising Global Environmental Science , 2009 .

[34]  Iphigenia Keramitsoglou,et al.  Evaluation of satellite-derived products for the characterization of the urban thermal environment , 2012 .

[35]  O. W. Archibold Coastal and marine ecosystems , 1995 .

[36]  Eni G. Njoku,et al.  Satellite Remote Sensing of Sea Surface Temperature , 1990 .

[37]  Peter R. J. North,et al.  MERIS/AATSR synergy algorithms for cloud screening, aerosol retrieval and atmospheric correction , 2008 .

[38]  D. Roberts,et al.  Sub-pixel mapping of urban land cover using multiple endmember spectral mixture analysis: Manaus, Brazil , 2007 .

[39]  N. C. Strugnell,et al.  First operational BRDF, albedo nadir reflectance products from MODIS , 2002 .

[40]  Danièle Revel,et al.  Urban Energy Systems : An Integrated Approach , 2013 .

[41]  Thomas Esch,et al.  Object-based image information fusion using multisensor earth observation data over urban areas , 2011 .

[42]  Shu-li Huang,et al.  A framework of indicator system for measuring Taipei's urban sustainability , 1998 .

[43]  Stefan Dech,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 , 2009 .

[44]  Julio J. Ochoa,et al.  The application of urban sustainability indicators – A comparison between various practices , 2011 .

[45]  Nektarios Chrysoulakis,et al.  Estimation of the all‐wave urban surface radiation balance by use of ASTER multispectral imagery and in situ spatial data , 2003 .

[46]  Francesca Bovolo,et al.  Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[47]  C. Wong Determining Factors for Local Economic Development: The Perception of Practitioners in the North West and Eastern Regions of the UK , 1998 .

[48]  P. Minnett Satellite Remote Sensing of Sea Surface Temperatures , 2001 .

[49]  M. Herold,et al.  Object-oriented mapping and analysis of urban land use / cover using IKONOS data , 2002 .

[50]  Eberhard Parlow,et al.  Flux Measurements in Cairo , 2011 .

[51]  Gustavo Camps-Valls,et al.  Semi-Supervised Graph-Based Hyperspectral Image Classification , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[52]  D. Lu,et al.  Change detection techniques , 2004 .

[53]  Xiaomin Qiu,et al.  Population Estimation Methods in GIS and Remote Sensing: A Review , 2005 .

[54]  K. Seto,et al.  Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools , 2012, Proceedings of the National Academy of Sciences.

[55]  Heung-Kyu Lee,et al.  Extraction of digital elevation models from satellite stereo images through stereo matching based on epipolarity and scene geometry , 2003, Image Vis. Comput..

[56]  C. Fraser,et al.  Generation of Digital Surface Model from High Resolution Satellite Imagery , 2008 .

[58]  Judith Klostermann,et al.  Urban adaptation to climate change in Europe: Challenges and opportunities for cities together with supportive national and European policies , 2012 .

[59]  M. Ioncica,et al.  Transports and Consumers’ Ecological Behaviour , 2012 .

[60]  T. Vesala,et al.  Sustainable urban metabolism as a link between bio-physical sciences and urban planning : the BRIDGE project , 2013 .

[61]  Andreas Schenk,et al.  Delineation of Urban Footprints From TerraSAR-X Data by Analyzing Speckle Characteristics and Intensity Information , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[62]  D. Lu,et al.  Use of impervious surface in urban land-use classification , 2006 .

[63]  Th. Toutin Elevation modelling from satellite visible and infrared (VIR) data , 2001 .

[64]  S. Liang Narrowband to broadband conversions of land surface albedo I Algorithms , 2001 .

[65]  B. Stone,et al.  Landscape and Urban Planning , 2022 .

[66]  Qihao Weng Thermal infrared remote sensing for urban climate and environmental studies: Methods, applications, and trends , 2009 .

[67]  John C. Field,et al.  Climate change impacts on U.S. Coastal and Marine Ecosystems , 2002 .

[68]  Pavlos S. Kanaroglou,et al.  Improvement of satellite derived pollution maps with the use of a geostatistical interpolation method , 2002, J. Geogr. Syst..

[69]  Fang Qiu,et al.  Modeling Urban Population Growth from Remotely Sensed Imagery and TIGER GIS Road Data , 2003 .

[70]  Nektarios Chrysoulakis,et al.  A Decision-Support System for Sustainable Urban Metabolism in Europe , 2013 .

[71]  J. A. Voogta,et al.  Thermal remote sensing of urban climates , 2003 .

[72]  William J. Emery,et al.  A neural network approach using multi-scale textural metrics from very high-resolution panchromatic imagery for urban land-use classification , 2009 .

[73]  E. Parlow,et al.  Geometry effect on the estimation of band reflectance in an urban area , 2009 .

[74]  Nektarios Chrysoulakis,et al.  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 , 2003 .

[75]  Saleemul Huq,et al.  Editorial Reducing risks to cities from disasters and climate change , 2007 .

[76]  F. Lindberg,et al.  Continuous sky view factor maps from high resolution urban digital elevation models , 2010 .

[77]  H. Beyer,et al.  Solar energy assessment using remote sensing technologies , 2003 .

[78]  José A. Malpica,et al.  An automatic method for road extraction in rural and semi-urban areas starting from high resolution satellite imagery , 2005, Pattern Recognit. Lett..

[79]  Jianping Wu,et al.  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 , 2009 .

[80]  T. Toutin,et al.  Elevation modelling from satellite visible and infrared (VIR) data , 2001 .