Open AccessAutomatization of forest ecosystems sustainability estimation based on complex modelling and Earth observation data
Author(s) -
V. A. Zelentsov,
Olga Brovkina,
Ilya Pimanov,
Semyon A. Potryasaev
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/507/1/012034
Subject(s) - sustainability , computer science , field (mathematics) , ecosystem , forest ecology , software , earth observation , environmental resource management , environmental science , ecology , engineering , mathematics , satellite , pure mathematics , biology , programming language , aerospace engineering
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.