Skip to main content

An Electronic Tree Inventory for Arboriculture Management

  • Conference paper
Applications and Innovations in Intelligent Systems XVI (SGAI 2008)

Abstract

The integration of Global Positioning System (GPS) technology into mobile devices provides them with an awareness of their physical location. This geospatial context can be employed in a wide range of applications including locating nearby places of interest as well as guiding emergency services to incidents. In this research, a GPS-enabled Personal Digital Assistant (PDA) is used to create a computerised tree inventory for the management of arboriculture. Using the General Packet Radio Service (GPRS), GPS information and arboreal image data are sent to a web-server. An office-based PC running customised Geographical Information Software (GIS) then automatically retrieves the GPS tagged image data for display and analysis purposes. The resulting application allows an expert user to view the condition of individual trees in greater detail than is possible using remotely sensed imagery.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ward, T. and Johnson, G.R. Geospatial methods provide timely and comprehensive urban forest information, Urban Forestry and Urban Greening, 6, 15–22, 2007.

    Article  Google Scholar 

  2. Pauleit, S. and Duhme, F. GIS assessment of Munich’s urban forest structure for urban planning, Journal of Arboriculture, 26, 133–141, 2000.

    Google Scholar 

  3. Wu, C. Xiao, Q. and McPherson, G. A method for location potential tree-planting sites in urban areas: A case study of Los Angele, Urban Forestry and Urban Greening, 7, 65–76, 2008.

    Article  Google Scholar 

  4. Myeong, S. Nowak, D.J. Hopkins, P.F. and Brock, R.H. Urban cover mapping using digital high-resolution aerial imagery, Urban Ecosystems, 5, 243–256, 2003.

    Article  Google Scholar 

  5. Carleer, A.P. and Wolff, E. Urban land cover multi-level region-based classification of VHR data by selecting relevant features, International Journal of Remote Sensing, 27, 1035–1051, 2006.

    Article  Google Scholar 

  6. Ramos, M.I. Gil, A.J. Feito, F.R. and Garcia-Ferrer, A. Using GPS and GIS tools to monitor olive tree movements, Computers and Electronics in Agriculture, 57, 135–148, 2007.

    Article  Google Scholar 

  7. Carver, A.D. Danskin, S.D. Zaczek, J.J. Mangun, J.C. and Williard, K. A GIS methodology for generating riparian tree planting recommendations, Northern Journal of Applied Forestry 21, 100–106, 2004.

    Google Scholar 

  8. Nemenyi, M. Mesterhazi, P.A. Pecze, Z. and Stepan, Z. The role of GIS and GPS in precision farming, Computers and Electronics in Agriculture, 40, 45–55, 2003.

    Article  Google Scholar 

  9. Zeng, H. Talkkari, A. Peltola, H. and Kellomaki, S. A GIS-based decision support system for risk assessment of wind damage in forest management, Environment Modelling and Software, 22, 1240–1249, 2007.

    Article  Google Scholar 

  10. Pu, R. Gong, P. Michishita, R. and Sasagawa, T. Assessment of multi-resolution and multi-sensor data for urban surface temperature retrieval, Remote Sensing of the Environment, 104, 211–225, 2006.

    Article  Google Scholar 

  11. McPherson, E.G. A benefit-cost analysis of ten street tree species in Modesto California, Journal of Arboriculture, 29, 1–8, 2003.

    Google Scholar 

  12. Coppin, P. Jonckheere, I. Nackaerts, K. Muys, B. and Lambin, E. Digital change detection methods in ecosystem monitoring: a review, International Journal of Remote Sensing, 25, 1565–1596, 2004.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag London Limited

About this paper

Cite this paper

Tait, R.J., Allen, T.J., Sherkat, N., Bellett-Travers, M.D. (2009). An Electronic Tree Inventory for Arboriculture Management. In: Allen, T., Ellis, R., Petridis, M. (eds) Applications and Innovations in Intelligent Systems XVI. SGAI 2008. Springer, London. https://doi.org/10.1007/978-1-84882-215-3_12

Download citation

  • DOI: https://doi.org/10.1007/978-1-84882-215-3_12

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84882-214-6

  • Online ISBN: 978-1-84882-215-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics