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”

A bark beetle infestation predictive model based on satellite data in the frame of decision support system TANABBO

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F20%3A84916" target="_blank" >RIV/60460709:41320/20:84916 - isvavai.cz</a>

  • Result on the web

    <a href="https://iforest.sisef.org/abstract/?id=ifor3271-013" target="_blank" >https://iforest.sisef.org/abstract/?id=ifor3271-013</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3832/ifor3271-013" target="_blank" >10.3832/ifor3271-013</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A bark beetle infestation predictive model based on satellite data in the frame of decision support system TANABBO

  • Original language description

    The European spruce bark beetle Ips typographus L. causes significant economic losses in managed coniferous forests in Central and Northern Europe. New infestations either occur in previously undisturbed forest stands (i.e., spot initiation) or depend on proximity to previous years infestations (i.e., spot spreading). Early identification of newly infested trees over the forested landscape limits the effective control measures. Accurate forecasting of the spread of bark beetle infestation is crucial to plan efficient sanitation felling of infested trees and prevent further propagation of beetle-induced tree mortality. We created a predictive model of subsequent year spot initiation and spot spreading within the TANABBO decision support system. The algorithm combines open-access Landsat-based vegetation change time-series data, a digital terrain model, and forest stand characteristics. We validated predicted susceptibility to bark beetle attack (separately for spot initiation and spot spreading) again

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    40102 - Forestry

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    IForest

  • ISSN

    1971-7458

  • e-ISSN

  • Volume of the periodical

    13

  • Issue of the periodical within the volume

    2020

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    9

  • Pages from-to

    215-223

  • UT code for WoS article

    000542627300001

  • EID of the result in the Scopus database

    2-s2.0-85086336794