Vegetation cover analysis of the mountainous part of north-eastern Siberia by means of geoinformation modelling and machine learning (basic principles, approaches, technology and relation to geosystem science) - Archive ouverte HAL Access content directly
Journal Articles BIO Web of Conferences Year : 2021

Vegetation cover analysis of the mountainous part of north-eastern Siberia by means of geoinformation modelling and machine learning (basic principles, approaches, technology and relation to geosystem science)

Abstract

For the first time, the geoinformation modelling and machine learning approaches have been used to study the vegetation cover of the mountainous part of North-Eastern Siberia – the Orulgan medium-altitude mountain landscape province. These technologies allowed us to distinguish a number of mapping units that were used for creation and analysis of 1:100 000 scale vegetation map of the interpreted key area. Based on the studies, we decided upon the basic principles, approaches and technologies that would serve as a methodology basis for the further studies of vegetation cover of the large region. Relief, slope aspect, genetic types of sediments, and moisture conditions were selected as supplementary factors to the vegetative indices for differentiation of both plant communities and vegetation map units.
Fichier principal
Vignette du fichier
bioconf_napd2021_00142.pdf (132.07 Ko) Télécharger le fichier
Origin : Publisher files allowed on an open archive

Dates and versions

hal-03430427 , version 1 (16-11-2021)

Licence

Attribution

Identifiers

Cite

Moisey Zakharov, Mikhail Cherosov, Elena Troeva, Sébastien Gadal. Vegetation cover analysis of the mountainous part of north-eastern Siberia by means of geoinformation modelling and machine learning (basic principles, approaches, technology and relation to geosystem science). BIO Web of Conferences, 2021, 38, pp.00142. ⟨10.1051/bioconf/20213800142⟩. ⟨hal-03430427⟩
77 View
64 Download

Altmetric

Share

Gmail Facebook X LinkedIn More