Incorporating kinematic attributes into rock glacier inventories exploiting InSAR data: preliminary results in eleven regions worldwide
Aldo Bertone
,
Chloé Barboux
(1)
,
Xavier Bodin
(2)
,
Tobias Bolch
(3)
,
Francesco Brardinoni
,
Rafael Caduff
,
Hanne Christiansen
,
Margaret Darrow
,
Reynald Delaloye
(4)
,
Bernd Etzelmüller
(5)
,
Ole Humlum
,
Christophe Lambiel
(6)
,
Karianne Staalesen Lilleøren
,
Volkmar Mair
,
Gabriel Pellegrinon
,
Line Rouyet
,
Lucas Ruiz
,
Tazio Strozzi
(7)
1
Department of Geosciences [Fribourg]
2 EDYTEM - Environnements, Dynamiques et Territoires de Montagne
3 University of Saint Andrews
4 UNIFR - Université de Fribourg = University of Fribourg
5 Department of Geosciences [Oslo]
6 UNIL - Université de Lausanne = University of Lausanne
7 Gamma Remote Sensing Research and Consulting AG
2 EDYTEM - Environnements, Dynamiques et Territoires de Montagne
3 University of Saint Andrews
4 UNIFR - Université de Fribourg = University of Fribourg
5 Department of Geosciences [Oslo]
6 UNIL - Université de Lausanne = University of Lausanne
7 Gamma Remote Sensing Research and Consulting AG
Aldo Bertone
- Fonction : Auteur
Xavier Bodin
- Fonction : Auteur
- PersonId : 8103
- IdHAL : xbodin
- ORCID : 0000-0001-6245-4030
- IdRef : 120534525
Tobias Bolch
- Fonction : Auteur
- PersonId : 764529
- ORCID : 0000-0002-8201-5059
- IdRef : 19002321X
Francesco Brardinoni
- Fonction : Auteur
- PersonId : 801259
- ORCID : 0000-0002-3525-3599
Rafael Caduff
- Fonction : Auteur
Hanne Christiansen
- Fonction : Auteur
Margaret Darrow
- Fonction : Auteur
Bernd Etzelmüller
- Fonction : Auteur
- PersonId : 761952
- ORCID : 0000-0001-5156-3653
Ole Humlum
- Fonction : Auteur
Karianne Staalesen Lilleøren
- Fonction : Auteur
- PersonId : 823319
- ORCID : 0000-0002-5887-1103
Volkmar Mair
- Fonction : Auteur
Gabriel Pellegrinon
- Fonction : Auteur
Line Rouyet
- Fonction : Auteur
Lucas Ruiz
- Fonction : Auteur
- PersonId : 799137
- ORCID : 0000-0002-8837-436X
Tazio Strozzi
- Fonction : Auteur
- PersonId : 792876
- ORCID : 0000-0002-9054-951X
Résumé
Abstract. The dependence of rock glaciers on permafrost and thus their sensitivity to climatic parameters makes the spatial distribution of these landforms very important for hydrological and climate changes reasons. Inventories of rock glaciers have been produced for decades worldwide, often without an assessment of their kinematics; the availability of remote sensing data makes the inclusion of kinematic information potentially feasible, but the absence of a common methodology makes it challenging to create homogeneous inventories. In this context, the IPA Action Group on rock glacier inventories and kinematics (2018–2023), with the support of the ESA Permafrost_CCI project, is promoting the definition of standard guidelines for the inclusion of kinematic information within inventories. Here, we test the feasibility of applying common rules proposed by the Action Group in eleven regions worldwide. Satellite interferometry is used to characterize identifiable areas with slope movements related to rock glaciers; subsequently, these areas are used to assign kinematic information to rock glaciers in existing or newly compiled inventories. More than 5,000 slope movements and more than 3,600 rock glaciers are classified according to their kinematics. The analyzes conducted on the method and on the preliminary results show small irregularities related to the detection capacity of interferometry and to lack of rock glaciers without detectable movements in some regions investigated. This is the first internationally coordinated effort of rock glacier inventories. We demonstrate the feasibility of applying common rules to implement kinematic attributes within inventories at a global scale, despite the various regions and intensive manual effort.
Format du dépôt | Notice |
---|---|
Type de dépôt | Pré-publication, Document de travail |
Titre |
en
Incorporating kinematic attributes into rock glacier inventories exploiting InSAR data: preliminary results in eleven regions worldwide
|
Résumé |
en
Abstract. The dependence of rock glaciers on permafrost and thus their sensitivity to climatic parameters makes the spatial distribution of these landforms very important for hydrological and climate changes reasons. Inventories of rock glaciers have been produced for decades worldwide, often without an assessment of their kinematics; the availability of remote sensing data makes the inclusion of kinematic information potentially feasible, but the absence of a common methodology makes it challenging to create homogeneous inventories. In this context, the IPA Action Group on rock glacier inventories and kinematics (2018–2023), with the support of the ESA Permafrost_CCI project, is promoting the definition of standard guidelines for the inclusion of kinematic information within inventories. Here, we test the feasibility of applying common rules proposed by the Action Group in eleven regions worldwide. Satellite interferometry is used to characterize identifiable areas with slope movements related to rock glaciers; subsequently, these areas are used to assign kinematic information to rock glaciers in existing or newly compiled inventories. More than 5,000 slope movements and more than 3,600 rock glaciers are classified according to their kinematics. The analyzes conducted on the method and on the preliminary results show small irregularities related to the detection capacity of interferometry and to lack of rock glaciers without detectable movements in some regions investigated. This is the first internationally coordinated effort of rock glacier inventories. We demonstrate the feasibility of applying common rules to implement kinematic attributes within inventories at a global scale, despite the various regions and intensive manual effort.
|
Auteur(s) |
Aldo Bertone
, Chloé Barboux
1
, Xavier Bodin
2
, Tobias Bolch
3
, Francesco Brardinoni
, Rafael Caduff
, Hanne Christiansen
, Margaret Darrow
, Reynald Delaloye
4
, Bernd Etzelmüller
5
, Ole Humlum
, Christophe Lambiel
6
, Karianne Staalesen Lilleøren
, Volkmar Mair
, Gabriel Pellegrinon
, Line Rouyet
, Lucas Ruiz
, Tazio Strozzi
7
1
Department of Geosciences [Fribourg]
( 143917 )
- CH–1700 Fribourg
- Suisse
2
EDYTEM -
Environnements, Dynamiques et Territoires de Montagne
( 20150 )
- Université de Savoie, Campus scientifique, 73376 Le Bourget du Lac cedex
- France
3
University of Saint Andrews
( 311396 )
- St Andrews KY16 9AJ, Royaume-Uni
- Royaume-Uni
4
UNIFR -
Université de Fribourg = University of Fribourg
( 473775 )
- Av. de l'Europe 20, CH-1700 Fribourg
- Suisse
5
Department of Geosciences [Oslo]
( 216951 )
- P.O. Box 1047, Blindern, NO-0316 Oslo
- Norvège
6
UNIL -
Université de Lausanne = University of Lausanne
( 97916 )
- CH-1015 Lausanne
- Suisse
7
Gamma Remote Sensing Research and Consulting AG
( 355070 )
- Suisse
|
Langue du document |
Anglais
|
Date de publication |
2022
|
Page/Identifiant |
2769-2792
|
Domaine(s) |
|
Référence interne |
|
DOI | 10.5194/tc-2021-342 |
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