Complex method for land degradation estimation

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dc.contributor.authorKussul, Nataliia
dc.contributor.authorShumilo, Leonid
dc.contributor.authorYailymova, Hanna
dc.contributor.authorShelestov, Andrii
dc.contributor.authorKrasilnikova, Tetiana
dc.date.accessioned2023-02-14T14:57:16Z
dc.date.available2023-02-14T14:57:16Z
dc.date.issued2023-01
dc.description.abstractenSatellite data of high spatial resolution have become publicly available since the launch of the EU Copernicus program, and their automated processing methods for solving a large number of diverse applied problems have received further development. Our task in this article is to analyze the dynamics of the land degradation level using land degradation assessment approaches based on satellite monitoring and taking appropriate measures. Within this work authors have developed the complex method for land degradation estimation that uses different schemes for separate land cover and crop types at country level based on satellite and modelling data. The deforestation was considered as land degradation in forest areas. For agricultural land, land degradation is determined by comparing the actual leaf area index (LAI) with the simulated (ideal) LAI, and for uncultivated land it is based on normalized difference vegetation index trend analysis from satellite information.uk
dc.format.pagerangeP. 1-10uk
dc.identifier.citationComplex method for land degradation estimation / N. Kussul, L. Shumilo, H. Yailymova, A. Shelestov, T. Krasilnikova // IOP Conf. Series: Earth and Environmental Science. – 2023. – 1126 012032. – P. 1-10.uk
dc.identifier.doihttps://doi.org/10.1088/1755-1315/1126/1/012032
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/52573
dc.language.isoenuk
dc.publisherIOP Conf. Series: Earth and Environmental Scienceuk
dc.sourcehttps://iopscience.iop.org/article/10.1088/1755-1315/1126/1/012032/metauk
dc.subjectsatellite datauk
dc.subjectland degradationuk
dc.subjectneural networkuk
dc.titleComplex method for land degradation estimationuk
dc.typeArticleuk

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