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
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DOI - Digital Object Identifier
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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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
EH - Ecology - communities
OECD FORD branch
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Result continuities
Project
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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
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e-ISSN
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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
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