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Remote sensing-based forest health monitoring systems - case studies from Czechia and Slovakia

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F18%3A78710" target="_blank" >RIV/60460709:41320/18:78710 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1515/forj-2017-0051" target="_blank" >http://dx.doi.org/10.1515/forj-2017-0051</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1515/forj-2017-0051" target="_blank" >10.1515/forj-2017-0051</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Remote sensing-based forest health monitoring systems - case studies from Czechia and Slovakia

  • Original language description

    Aim of this paper is to present the remote sensing-based systems of forest health assessment in the Czech Republic and Slovakia, and to analyse both their strengths and weaknesses. Nationwide assessment of forest health in the Czech Republic is based on the interpretation of Sentinel-2 satellite data using novel approaches for cloud-free image synthesis based on all available satellite observations. A predictive statistical model to yield time series of leaf area index (LAI) from satellite observations is developed above extensive in-situ data, including Al and forest defoliation assessment. Forest health is evaluated for each pixel from yearly changes of forest LAI, while the country-wise assessment of the health status is performed at the cadastral level. Methodology developed for Slovakia is based on a two-phase regression sampling. The first phase of the procedure provides an initial fast estimate of forest damage using only satellite observations (visible and infrared channels from Landsat or Se

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    40102 - Forestry

Result continuities

  • Project

    <a href="/en/project/EF16_019%2F0000803" target="_blank" >EF16_019/0000803: Advanced research supporting the forestry and wood-processing sector´s adaptation to global change and the 4th industrial revolution</a><br>

  • Continuities

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

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Lesnicky časopis (Forestry Journal)

  • ISSN

    0323-1046

  • e-ISSN

  • Volume of the periodical

    64

  • Issue of the periodical within the volume

    3-4

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    17

  • Pages from-to

    259-275

  • UT code for WoS article

    000453424700010

  • EID of the result in the Scopus database

    2-s2.0-85058472951