Developing a community-based worldwide urban morphology and materials database (WUDAPT) using remote sensing and crowdsourcing for improved urban climate modelling

This paper outlines the WUDAPT (World Urban Database and Access Portal Tools) concept and highlights progress to date in developing this database for cities around the world. The next steps in the WUDAPT project are outlined, both in the immediate and longer term. Ultimately the goal is to provide an open access resource on urban morphology, materials and metabolism for all major cities that can be used for many different applications, in particular for climate and weather modelling, and urban climate change studies.

[1]  Qihao Weng,et al.  Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends , 2012 .

[2]  Lin Liu,et al.  Urban Heat Island Analysis Using the Landsat TM Data and ASTER Data: A Case Study in Hong Kong , 2011, Remote. Sens..

[3]  Benjamin Bechtel,et al.  Classification of Local Climate Zones Based on Multiple Earth Observation Data , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[4]  Benjamin Bechtel,et al.  Multitemporal Landsat data for urban heat island assessment and classification of local climate zones , 2011, 2011 Joint Urban Remote Sensing Event.

[5]  Steffen Fritz,et al.  Geo-Wiki: An online platform for improving global land cover , 2012, Environ. Model. Softw..

[6]  T. Oke,et al.  Local Climate Zones for Urban Temperature Studies , 2012 .

[7]  Linda See,et al.  WUDAPT: Facilitating advanced urban canopy modeling for weather, climate and air quality applications , 2014 .

[8]  A. Ngie,et al.  Assessment of urban heat island using satellite remotely sensed imagery: a review , 2014 .

[9]  Gerald Mills,et al.  Local Climate Classification and Dublin's Urban Heat Island , 2014, ATMOS 2014.

[10]  Steven J. Burian,et al.  National Urban Database and Access Portal Tool , 2009 .

[11]  T. Oke.  The energetic basis of the urban heat island , 1982 .

[12]  Jason Ching,et al.  A perspective on urban canopy layer modeling for weather, climate and air quality applications , 2013 .

[13]  Kevin W. Manning,et al.  The Integrated WRF/Urban Modeling System: Development, Evaluation, and Applications to Urban Environmental Problems , 2010 .

[14]  C. Elvidge,et al.  A Technique for Using Composite DMSP/OLS "City Lights"Satellite Data to Map Urban Area , 1997 .

[15]  Keith W. Oleson,et al.  Parameterization of Urban Characteristics for Global Climate Modeling , 2010 .

[16]  D. Lu,et al.  Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies , 2004 .

[17]  Executive Summary.  World Urbanization Prospects: The 2018 Revision , 2019 .