Automatization of forest ecosystems sustainability estimation based on complex modelling and Earth observation data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F20%3A00540404" target="_blank" >RIV/86652079:_____/20:00540404 - isvavai.cz</a>
Result on the web
<a href="https://iopscience.iop.org/article/10.1088/1755-1315/507/1/012034/pdf" target="_blank" >https://iopscience.iop.org/article/10.1088/1755-1315/507/1/012034/pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1088/1755-1315/507/1/012034" target="_blank" >10.1088/1755-1315/507/1/012034</a>
Alternative languages
Result language
angličtina
Original language name
Automatization of forest ecosystems sustainability estimation based on complex modelling and Earth observation data
Original language description
The paper considers methods and information technologies for full automatization of forest ecosystems sustainability estimation. Analysis of forest ecosystem sustainability is explored as a multi-objective problem with applying a complex of models for calculating partial indicators of sustainability. Earth observation (EO) data is used as an essential component of information support for estimating forest ecosystems sustainability indicators. Methodological framework of automatization consists of complex modelling, application of models qualimetry methods for selecting specific calculation models, and methods for multi-criteria analysis to estimate generalized indicators of sustainability. A software architecture is proposed in order to implement procedures of complex modelling with integrated processing EO and field data.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20705 - Remote sensing
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
All-Russian scientific-technical conference „Digital technologies in forest sector”
ISBN
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ISSN
1755-1315
e-ISSN
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Number of pages
8
Pages from-to
012034
Publisher name
St. Petersburg State Forestry University
Place of publication
Petrohrad
Event location
Petrohrad
Event date
May 20, 2020
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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