loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock
Mapping Siberian Arctic Mountain Permafrost Landscapes by Machine Learning Multi-sensors Remote Sensing: Example of Adycha River Valley

Topics: Cartography and Geodesy; Earth Observation and Satellite Data; Ecological and Environmental Management; Image Processing and Pattern Recognition; Machine Learning for Spatial Data; Remote Sensing in Climate Change Studies; Spatial Analysis and Integration

Authors: Moisei Zakharov 1 ; 2 ; Sébastien Gadal 1 ; 2 ; Yuri Danilov 2 and Jūratė Kamičaitytė 3

Affiliations: 1 Aix-Marseille Univ., CNRS, ESPACE UMR 7300, Univ., Nice Sophia Antipolis, Avignon Univ., 13545 Aix-en-Provence, France ; 2 North-Eastern Federal University, 670000 Yakutsk, Republic of Sakha, Russian Federation ; 3 Kaunas University of Technology, Kaunas, Lithuania

Keyword(s): Permafrost Landscape, Remote Sensing Modeling, Landscape Mapping, Terrain, Landsat, ASTER GDEM, Yakutia.

Abstract: The landscape taxonomy has a complex structure and hierarchical classification with indicators of their recognition, which is based on a variety of heterogeneous geographic territorial and expert knowledge. This inevitably leads to difficulties in the interpretation of remote sensing data and image analysis in landscape research in the field of classification and mapping. This article examines an approach to the analysis of intra-season Landsat 8 OLI images and modeling of ASTER GDEM data for mapping of mountain permafrost landscapes of Northern Siberia at the scale of 1: 500,000 as well as its methods of classification and geographical recognition. This approach suggests implementing the recognition of terrain types and vegetation types of landscape types. The 8 types of the landscape have been identified by using the classification of the relief applying Jenness's algorithm and the assessment of the geomorphological parameters of the valley. The 6 vegetation types have been identif ied in mountain tundra, mountain woodlands, and valley complexes of the Adycha river valley in the Verkhoyansk mountain range. The results of mapping and the proposed method for the interpretation of remote sensing data used at regional and local levels of studying the characteristics of the permafrost distribution. The work contributes to the understanding of the landscape organization of remote mountainous permafrost areas and to the improvement of methods for mapping the permafrost landscapes for territorial development and rational environmental management. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.200.145.114

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Zakharov, M.; Gadal, S.; Danilov, Y. and Kamičaitytė, J. (2021). Mapping Siberian Arctic Mountain Permafrost Landscapes by Machine Learning Multi-sensors Remote Sensing: Example of Adycha River Valley. In Proceedings of the 7th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM; ISBN 978-989-758-503-6; ISSN 2184-500X, SciTePress, pages 125-133. DOI: 10.5220/0010448801250133

@conference{gistam21,
author={Moisei Zakharov. and Sébastien Gadal. and Yuri Danilov. and Jūratė Kamičaitytė.},
title={Mapping Siberian Arctic Mountain Permafrost Landscapes by Machine Learning Multi-sensors Remote Sensing: Example of Adycha River Valley},
booktitle={Proceedings of the 7th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM},
year={2021},
pages={125-133},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010448801250133},
isbn={978-989-758-503-6},
issn={2184-500X},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM
TI - Mapping Siberian Arctic Mountain Permafrost Landscapes by Machine Learning Multi-sensors Remote Sensing: Example of Adycha River Valley
SN - 978-989-758-503-6
IS - 2184-500X
AU - Zakharov, M.
AU - Gadal, S.
AU - Danilov, Y.
AU - Kamičaitytė, J.
PY - 2021
SP - 125
EP - 133
DO - 10.5220/0010448801250133
PB - SciTePress