3D city models for urban farming site identification in buildings

[1]  Gregory J. Ward,et al.  The RADIANCE lighting simulation and rendering system , 1994, SIGGRAPH.

[2]  Harpal S. Mavi,et al.  Agrometeorology: Principles and Applications of Climate Studies in Agriculture , 2004 .

[3]  Peter van Oosterom,et al.  Computers, Environment and Urban Systems , 2009 .

[4]  V. Jayaraman,et al.  Assessment of land suitability potentials for agriculture using a remote sensing and GIS based approach , 2009 .

[5]  N. Kishnani,et al.  Building Integrated Agriculture: Utilising Rooftops for Sustainable Food Crop Cultivation in Singapore , 2010 .

[6]  Maosheng Zhao,et al.  Drought-Induced Reduction in Global Terrestrial Net Primary Production from 2000 Through 2009 , 2010, Science.

[7]  Yuji Murayama,et al.  Suitability Analysis for Beekeeping Sites Integrating GIS & MCE Techniques , 2011 .

[8]  Lutz Plümer,et al.  CityGML – Interoperable semantic 3D city models , 2012 .

[9]  Reinhold Rost,et al.  Climate of Singapore , 2013 .

[10]  M. Brito,et al.  Solar energy potential on roofs and facades in an urban landscape , 2013 .

[11]  Johnny S. Wong,et al.  From the ‘urban heat island’ to the ‘green island’? A preliminary investigation into the potential of retrofitting green roofs in Mongkok district of Hong Kong , 2013 .

[12]  Jiangtao Du,et al.  Assessing the daylight and sunlight availability in high-density residential areas: a case in North-east China , 2013 .

[13]  Puay Yok Tan,et al.  Building shade affects light environment and urban greenery in high-density residential estates in Singapore , 2014 .

[14]  John J. Carroll.  Hand calculation methods , 2014 .

[15]  Cristina Catita,et al.  Extending solar potential analysis in buildings to vertical facades , 2014, Comput. Geosci..

[16]  Miguel Brito,et al.  Modelling solar potential in the urban environment: State-of-the-art review , 2015 .

[17]  Puay Yok Tan,et al.  The effects of urban forms on photosynthetically active radiation and urban greenery in a compact city , 2015, Urban Ecosystems.

[18]  Abel Tablada,et al.  Sunlight availability and potential food and energy self-sufficiency in tropical generic residential districts , 2016 .

[19]  F. Sanz-Adan,et al.  Evaluating solar irradiance over facades in high building cities, based on LiDAR technology , 2016 .

[20]  Yan Zhu,et al.  Developing an Economic Estimation System for Vertical Farms , 2016, Int. J. Agric. Environ. Inf. Syst..

[21]  J. Gonçalves,et al.  Quantifying the City’s Green Area Potential Gain Using Remote Sensing Data , 2016 .

[22]  P. Vitousek,et al.  Rain, Sun, Soil, and Sweat: A Consideration of Population Limits on Rapa Nui (Easter Island) before European Contact , 2017, Front. Ecol. Evol..

[23]  Joan Rieradevall,et al.  Building-integrated agriculture: , 2017 .

[24]  Filip Biljecki,et al.  The VI-Suite: a set of environmental analysis tools with geospatial data applications , 2017, Open Geospatial Data, Software and Standards.

[25]  Filip Biljecki,et al.  Generating 3D city models without elevation data , 2017, Comput. Environ. Urban Syst..

[26]  J. Kraszewski,et al.  The Weather Channel , 2018 .

[27]  Xiao Ping Song,et al.  Assessment of light adequacy for vertical farming in a tropical city , 2018 .

[28]  Dong-Won Lim,et al.  Development of a Physics-Based Monitoring Algorithm Detecting CO2 Ingress Accidents in a Sodium-Cooled Fast Reactor , 2018, Energies.

[29]  Filip Biljecki,et al.  FLOOR PLANS IN CITYGML , 2018, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

[30]  Filip Biljecki,et al.  Achieving Complete and Near-Lossless Conversion from IFC to CityGML , 2018, ISPRS Int. J. Geo Inf..

[31]  Zeeshan Aziz,et al.  Building integrated agriculture information modelling (BIAIM): An integrated approach towards urban agriculture , 2018 .

[32]  Hugo Ledoux,et al.  A MULTI-HEIGHT LOD1 MODEL OF ALL BUILDINGS IN THE NETHERLANDS , 2019, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

[33]  Kavisha Kumar,et al.  CityJSON: a compact and easy-to-use encoding of the CityGML data model , 2019, Open Geospatial Data, Software and Standards.

[34]  R. DiNapoli,et al.  Commentary: Response: Commentary: Rain, Sun, Soil, and Sweat: A Consideration of Population Limits on Rapa Nui (Easter Island) before European Contact , 2019 .

[35]  Vesna Kosorić,et al.  Survey on the social acceptance of the productive façade concept integrating photovoltaic and farming systems in high-rise public housing blocks in Singapore , 2019, Renewable and Sustainable Energy Reviews.

[36]  Thomas H. Kolbe,et al.  CityGML 3.0: New Functions Open Up New Applications , 2020, PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science.

[37]  Sagi Dalyot,et al.  Towards the generation of 3D OpenStreetMap building models from single contributed photographs , 2020, Comput. Environ. Urban Syst..

[38]  Jantien E. Stoter,et al.  Automated reconstruction of 3D input data for noise simulation , 2020, Comput. Environ. Urban Syst..

[39]  F. Biljecki.  EXPLORATION OF OPEN DATA IN SOUTHEAST ASIA TO GENERATE 3D BUILDING MODELS , 2020, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

[40]  W. Ju,et al.  Solar energy potential of urban buildings in 10 cities of China , 2020 .

[41]  J. Diehl,et al.  Feeding cities: Singapore's approach to land use planning for urban agriculture , 2020 .

[42]  Francesco Frontini,et al.  A calculation method for the BIPV potential of Swiss façades at LOD2.5 in urban areas: A case from Ticino region , 2020 .

[43]  Filip Biljecki,et al.  Extending CityGML for IFC-sourced 3D city models , 2021 .

[44]  J. Wilson,et al.  Local , national , and global applications of GIS in agriculture , 2022 .