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

0466526 - ÚVGZ 2017 RIV IT eng C - Conference Paper (international conference)
Grigorieva, O. - Brovkina, Olga - Mochalov, V. F. - Akhtman, Y. - Zelentsov, V. A. - Potryasaev, S. A. - Kozyr, I.
A complex model for forest ecosystem state assessment based on remote sensing data: case study in Baikalsky Nature Reserve.
Proceeding of the 4th international workshop on simulation for energy, sustainable development and environment. Genova: UNIVERSITÀ DI GENOVA, 2016 - (Bruzzone, A.; Janosy, J.; Nicolleti, L.; Zacharewicz, G.), s. 14-19. ISBN 978-88-97999-80-5.
[International workshop on simulation for energy, sustainable development and evnironment /4./. Cyprus (GR), 26.09.2016-28.09.2016]
Institutional support: RVO:67179843
Keywords : forest ecosystem * satellite data * hyperspectral airborne data
Subject RIV: EH - Ecology, Behaviour

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.
Permanent Link: http://hdl.handle.net/11104/0264806