All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

3D Hyperspectral and Thermal Analysis of Forest Trees Focusing on Bark Beetle Infestation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F18%3A43900767" target="_blank" >RIV/60076658:12310/18:43900767 - isvavai.cz</a>

  • Result on the web

    <a href="https://hal.univ-reunion.fr/hal-01958426" target="_blank" >https://hal.univ-reunion.fr/hal-01958426</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    3D Hyperspectral and Thermal Analysis of Forest Trees Focusing on Bark Beetle Infestation

  • Original language description

    Disturbances caused by bark beetles are a massive problem for forestry in the northern hemisphere. Especially the central part of the national parks Bavarian Forest (Germany) and umava (Czech Republic) are often affected by bark beetle infestations. Recently, an early stage detection of bark beetle infestation is only possible by terrestrial inspection, which is labor intensive and costly. Thus, effective methods allowing an early-stage detection of bark beetle infestation of larger areas are needed. The joint project BarkBeeDet aims at investigating the detection of trees infested by bark beetle at an early stage (green-attack-stage) using methods of UAV (Unmanned Air Vehicle)-based imaging with LiDAR, hyperspectral and thermal IR sensors. The data of the different sensors is used in conjunction for image analysis, whereas methods of 3D object-based image analysis are applied. The paper present outlines first results of imaging and 3D object-based image analysis and concludes the potential of this method for an effective detection of bark beetle infestation.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

  • OECD FORD branch

    10618 - Ecology

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů