Remote sensing of mountain permafrost landscape by multi-fusion data modeling. Example of verkhoyansk ridge (Russia)

Mapping of permafrost mountain landscape of Verkhoyansk in the Arctic zone is based on the recognition by remote sensing and GIS modeling of the landscape permafrost-objects resulting from the combination of the Milkov’s taxonomic classifications. The methodology developed integrates three types of...

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Bibliographic Details
Main Authors: Gadal, Sébastien, Zakharov, Moisei, Danilov, Yuri, Kamičaitytė, Jūratė
Format: Article in Journal/Newspaper
Language:English
Published: 2020
Subjects:
multi-fusion methods
land surface temperature
landform classification
permafrost landscape mapping
Arctic
Verkhoyansk
permafrost
Online Access:http://ktu.lvb.lt/KTU:ELABAPDB70862034&prefLang=en_US
Description
Summary:Mapping of permafrost mountain landscape of Verkhoyansk in the Arctic zone is based on the recognition by remote sensing and GIS modeling of the landscape permafrost-objects resulting from the combination of the Milkov’s taxonomic classifications. The methodology developed integrates three types of modeling: the first one is mapping the vegetation repartition using Sentinel 2A with SVM classifier during the summer vegetative period; second is the landform classification using Jenness’s algorithm from ASTER data; and the third one is land surface temperature calculus from Landsat 8 OLI/TIRS images identifying the permafrost characteristics categories. Results are merged using a native index equation of permafrost landscape objects in GIS. This original mapping approach improves significantly the understanding of complexity of the permafrost mountain structures and processes with the annual monitoring by remote sensing.

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