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A complex model for forest ecosystem state assessment based on remote sensing data: case study in Baikalsky Nature Reserve

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F16%3A00466526" target="_blank" >RIV/86652079:_____/16:00466526 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A complex model for forest ecosystem state assessment based on remote sensing data: case study in Baikalsky Nature Reserve

  • Original language description

    This study describes a complex model for forest ecosystem state assessment in the Baikalsky Nature Reserve based on multispectral satellite and hyperspectral airborne data. The objective of the study is to estimate ecosystem stability, degree of anthropogenic load and the relative tension index of the environmental situation on the study territory. Results demonstrate the average sustainability of 0.8 (middle to high level) and an anthropogenic load of 0.3 (middle level). The ecological situation is estimated as satisfactory. The degradation of conifers indicates a decrease of protective functions of the ecosystem. Our proposed methodology for forest ecosystem state assessment is based on remote sensing data and can be potentially useful for regional and large-scale forest monitoring and management.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    EH - Ecology - communities

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceeding of the 4th international workshop on simulation for energy, sustainable development and environment

  • ISBN

    978-88-97999-80-5

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    14-19

  • Publisher name

    UNIVERSITÀ DI GENOVA

  • Place of publication

    Genova

  • Event location

    Cyprus

  • Event date

    Sep 26, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article