@article{
author = "Miletić, Stefan and Beloica, Jelena and Perović, Veljko and Miljković, Predrag and Lukić, Sara and Obradović, Snežana and Čakmak, Dragan and Belanović Simić, Snežana",
year = "2023",
abstract = "This paper aims to improve the methodology
and results accuracy of MEDALUS model for
assessing land degradation sensitivity through the
application of different data detail levels and by introducing
the application of Ellenberg indices in metrics
related to vegetation drought sensitivity assessment.
For that purpose, the MEDALUS model was applied
at 2 levels of detail. Level I (municipality level)
implied the use of available large-scale databases and
level II (watershed) contains more detailed information
about vegetation used in the calculation of the
VQI and MQI factors (Fig. S6). The comparison
was made using data based on CORINE Land Cover
(2012) and forest inventory data, complemented with
object-based classification. Results showed that data
based on forest inventory data with the application
of Ellenberg’s indices and object-based classification
have one class more, critical (C1 and C2) and that
the percentage distribution of classes is different in
both quantitative (area size of class sensitivity) and
qualitative (aggregation and dispersion of sensitivity
classes). The use of data from Forest Management
Plans and the application of Ellenberg’s indices affect
the quality of the results and find its application in the
model, especially if these results are used for monitoring
and land area management on fine scales. Remote
sensed data images (Sentinel-2B) were introduced
into the methodology as a very important environmental
monitoring tool and model results validation.",
publisher = "Dordrecht: Springer",
journal = "Environmental Monitoring and Assessment",
title = "Environmental sensitivity assessment and land degradation in southeastern Serbia: application of modifed MEDALUS model",
volume = "195",
doi = "10.1007/s10661-023-11761-1",
pages = "1241"
}
