ISPRS-Archives ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Archives Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9034 Copernicus Publications Göttingen, Germany 10.5194/isprs-archives-XLII-4-W10-55-2018 MODELING TREES FOR VIRTUAL SINGAPORE: FROM DATA ACQUISITION TO CITYGML MODELS Gobeawan L. 1 Lin E. S. 2 Tandon A. 2 Yee A. T. K. 2 Khoo V. H. S. 3 Teo S. N. 3 Yi S. 1 Lim C. W. 1 Wong S. T. 1 Wise D. J. 1 Cheng P. 1 Liew S. C. 4 Huang X. 4 Li Q. H. 5 Teo L. S. 5 Fekete G. S. 6 Poto M. T. 6 Institute of High Performance Computing, 1 Fusionopolis Way #16-16 Connexis North Tower, Singapore National Parks Board, 1 Cluny Road, Singapore Singapore Land Authority, 55 Newton Road, Singapore National University of Singapore, Centre for Remote Imaging, Sensing and Processing, Blk S17 Level 2, Lower Kent Ridge Road, Singapore Government Technology Agency of Singapore, 1 Fusionopolis View #07-01 Sandcrawler Building, Singapore Roadata Global Pte. Ltd., 30 Cecil Street #19-08 Prudential Tower, Singapore 12 09 2018 XLII-4/W10 55 62 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://isprs-archives.copernicus.org/articles/isprs-archives-XLII-4-W10-55-2018.html The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/isprs-archives-XLII-4-W10-55-2018.pdf

Singapore, branded as a “City in a Garden”, has a long standing commitment to green the nation, one which has resulted in trees becoming an integral component of the urban environment. Similarly for its digital twin, Virtual Singapore, we undertake the research to automate the population of this virtual city with semantically and biologically representative trees in a CityGML (City Geography Markup Language) format. This paper presents our framework of modeling trees for Virtual Singapore, showcasing an array of methodologies in data acquisition of light detection and ranging (LiDAR) and satellite images, tree extraction and quantification, and 3D tree modeling at LODs (level of details) 1, 2 and 3. The paper will also highlight challenges and chosen methodologies along with the preliminary results of this framework.