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Urban Tree Detection Using Mobile Laser Scanning Data

  • Arun Kumar Pratihast
  • Jay Krishna Thakur

Abstract

Nearly half of the world's population (47 per cent) lives in urban areas and is expected to grow by two per cent per year during 2000-15 (UN, 2001). Urban trees are essential data sets for studies on urban biomass, ecological function, water budgets and radiation transfer in an urban system. Furthermore, it is also useful for 3D cadastre and 3D city models used by planners and environmentalists for planning, modelling and ecological assessments of the city.

Keywords

Normalize Difference Vegetation Index Remote Sensing Point Cloud Terrestrial Laser Scanning Seed Surface 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Notes

Acknowledgement

We would like to thank Optech and Euro SDR for providing data for this research. The authors are also thankful to Faculty of Geo-information Science and Earth Observation (ITC), Universiteit Twente, Enschede, The Netherlands, especially Geoinformatics department, for overall research arrangements and valuable advice during the study.

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Copyright information

© Capital Publishing Company 2011

Authors and Affiliations

  • Arun Kumar Pratihast
    • 1
    • 2
  • Jay Krishna Thakur
    • 3
  1. 1.ITT, Cologne University of Applied ScienceCologneGermany
  2. 2.Center for Geo-information, Wageningen UniversityWageningenThe Netherlands
  3. 3.Department of Hydrogeology and Environmental GeologyInstitute of Geosciences, Martin Luther UniversityHalleGermany

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