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Remote Sensing for Alpine Forest Monitoring

  • Mathias SchardtEmail author
  • Manuela Hirschmugl
  • Klaus Granica
Conference paper

Abstract

Forest areas cover large parts of the Alps. In the mountains, the main functions of the forests are referring to the protection of people and infrastructure against natural hazards such as avalanches, landslides and rockfalls. However, the protective effect of many forests is threatened by their poor condition and poor forest regeneration capabilities. Information on the state of the forest therefore is an important basis for the sustainable management of protected forests. The key forest parameters that can be mentioned in this context are the forest border line, tree species distribution, age of the forests, biomass as well as structural parameters such as vertical stand structure and forest density. The paper presents the possibilities and limits of satellite image data as well as of Airborne LiDAR data for the assessment of these parameters. The results presented are achieved by the EUFODOS project financed by the 7th Frame Work Programme of the European Commission [4] and the project ALS—Steiermark financed by Waldverband Steiermark. EUFODOS was focussing on the development of methods for pan-European identification of forest damage whereas the aim of ALS—Steiermark was to apply these methods to the entire area of the province of Styria.

Literature

  1. 1.
    Schardt M, Granica K, Hirschmugl M, Deutscher J, Mollatz M, Steinegger M, Gallaun H, Wimmer A, Linser S (2015) The assessment of forest parameters by combined LiDAR and satellite data over Alpine regions—EUFODOS implementation in Austria. Forestry J 3–11. ISSN:0323-1046Google Scholar
  2. 2.
    Gonzalez RC, Woods RE (2002) Digital image processing, 2nd edn. Prentice Hall Inc., Upper Saddle River, New Jersey, p 793Google Scholar
  3. 3.
    Hirschmugl M (2008) Derivation of forest parameters from UltracamD data. Dissertation. Technische Universität Graz, p. 200Google Scholar
  4. 4.
    Hirschmugl M, Gallaun H, Wack R, Granica K, Schardt M (2013) EUFODOS: European forest downstream services—improved information on forest structure and damage. Int Arch Photogramm Remote Sens Spat Inf Sci XL-1/W1:127–131Google Scholar
  5. 5.
    Gallaun H, Schardt M, Linser S (2007) Remote sensing based forest map of Austria and derived environmental indicators. In: ForestSat Conference, Montpellier, France, 5–7 Nov 2007, 5 p (published on CD)Google Scholar
  6. 6.
    Hyyppä J, Hyyppä H, Yu X, Kaartinen H, Kukko A, Holopainen M (2009) Forest inventory using small footprint airborne lidar. In: Shan J, Toth CK (eds) Topographic laser ranging and scanning principles. CRC Press, Boca Raton, pp. 335–370CrossRefGoogle Scholar
  7. 7.
    Wack R, Stelzl H (2005) Assessment of forest stand parameters from laserscanner data in mixed forests. In: Proceedings of ForestSat 2005, Borås, pp. 56–60Google Scholar
  8. 8.
    Hollaus H, Wagner W, Eberhöfer C, Karel W (2006) Accuracy of large-scale canopy heights derived from LiDAR data under operational constraints in a complex alpine environment. ISPRS J Photogramm Remote Sens 60:323–338CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Mathias Schardt
    • 1
    • 2
    Email author
  • Manuela Hirschmugl
    • 1
  • Klaus Granica
    • 1
  1. 1.Research Group Remote Sensing and GeoinformationForschungsgesellschaft Joanneum MbHGrazAustria
  2. 2.Graz University of Technology, Institute of GeodesyGrazAustria

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