Mapping Siberian Arctic Mountain Permafrost Landscapes by Machine Learning Multi-Sensors Remote Sensing: Example of Adycha River Valley - HAL-SHS - Sciences de l'Homme et de la Société Accéder directement au contenu
Communication Dans Un Congrès Année : 2021

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

Résumé

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 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 identified 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.
Fichier principal
Vignette du fichier
GISTAM2021_22_Final_.pdf (1.55 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03207301 , version 1 (24-04-2021)

Licence

Paternité - Pas d'utilisation commerciale - Pas de modification

Identifiants

  • HAL Id : hal-03207301 , version 1

Citer

Moisei Zakharov, Sébastien Gadal, Yuri Danilov, Jūratė Kamičaitytė. Mapping Siberian Arctic Mountain Permafrost Landscapes by Machine Learning Multi-Sensors Remote Sensing: Example of Adycha River Valley. 7th International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM 2021), INSTICC, Apr 2021, Online streaming, Czech Republic. pp.125-133. ⟨hal-03207301⟩
209 Consultations
145 Téléchargements

Partager

Gmail Facebook X LinkedIn More