Cryogenic Land Surface Process Detection in Siberian High Latitude Mountain Permafrost Landscape by Time Series Landsat Thermal Imagery - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

Cryogenic Land Surface Process Detection in Siberian High Latitude Mountain Permafrost Landscape by Time Series Landsat Thermal Imagery

Résumé

In recent years, the accumulation of cloud-free remote sensing thermal infrared data for high-latitude permafrost regions makes it possible to use them to identify active cryogenic land surface processes (ACP) spurred by climate change and human activities. ACP is an extremely important indicator of excitations in the energy cycle of permafrost landscapes and changes in the carbon budget. In this paper, we test the time series of land surface temperature (LST) extracted from Landsat 8 OLI/TIRS datasets using a split window algorithm (SWA) to identify ACP for the study area in the mountains of Northeastern Siberia. We identified active cryogenic processes from thermal anomalies detected using standard deviation thresholds on 5 datasets for selected dates. Our results show that multi-year verified high resolution LST data for the second half of the summer period can be applicable for identifying an area with active cryogenic processes in the valley and disturbed permafrost landscapes, provided they can indicate the local effects of processes associated with drainage degradation and vegetation change.
Fichier principal
Vignette du fichier
Cryogenic_Land_Surface_Process_Detection.pdf (1.1 Mo) Télécharger le fichier
Origine : Accord explicite pour ce dépôt
Licence : CC BY ND - Paternité - Pas de modifications

Dates et versions

hal-04254737 , version 1 (23-10-2023)

Licence

Paternité - Pas de modifications

Identifiants

Citer

Sébastien Gadal, Moisei Zakharov. Cryogenic Land Surface Process Detection in Siberian High Latitude Mountain Permafrost Landscape by Time Series Landsat Thermal Imagery. 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2023), IEEE, Jul 2023, Pasadena, CA, United States. pp.237-240, ⟨10.1109/IGARSS52108.2023.10282807⟩. ⟨hal-04254737⟩
29 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More