Rock Glacier Inventories (RoGIs) in 12 areas worldwide using a multi-operator consensus-based procedure
- Autores
- Rouyet, Line; Bolch, Tobias; Brardinoni, Francesco; Caduff, Rafael; Cusicanqui, Diego; Darrow, Margaret; Delaloye, Reynald; Echelard, Thomas; Lambiel, Christophe; Pellet, Cécile; Ruiz, Lucas Ernesto; Schmid, Lea; Sirbu, Flavius; Strozzi, Tazio
- Año de publicación
- 2025
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The Rock Glacier Inventories and Kinematics (RGIK) community has defined standards for generating Rock Glacier Inventories (RoGIs). In the framework of the European Space Agency Climate Change Initiative for Permafrost (ESA CCI Permafrost), we set up a multi-operator mapping exercise in 12 areas around the world. Each RoGI team was composed of 5 to 10 operators, involving 41 persons in total. Each operator performed similar steps following the RGIK guidelines (RGIK, 2023a) and using a similar QGIS tool. The individual results were compared and combined after common meetings to agree on the final consensus-based solutions. In total, 337 “certain” rock glaciers have been identified and characterised, and 222 additional landforms have been identified as “uncertain” rock glaciers. The dataset consists of three GeoPackage (gpkg) files for each area: (1) the primary markers (PMs) locating and characterising the identified rock glacier units (RGUs), (2) the moving areas (MAs) delineating areas with surface movement associated with the rock glacier creep based on spaceborne Interferometric Synthetic Aperture Radar (InSAR), and (3) the geomorphological outlines (GOs) delineating the restricted and extended rock glacier unit (RGU) boundaries. Here we present the procedure for generating consensus-based RoGIs, describe the data properties, highlight their value and limitations, and discuss potential applications. The final PM/MA/GO dataset is available on Zenodo (Rouyet et al., 2025; https://doi.org/10.5281/zenodo.14501398). The GeoPackage (gpkg) templates for performing similar RoGIs in other areas and exercises based on the QGIS tool are available on the RGIK website (https://www.rgik.org, last access: 15 August 2025).
Fil: Rouyet, Line. Universite de Fribourg;
Fil: Bolch, Tobias. Graz University Of Technology.; Austria
Fil: Brardinoni, Francesco. Università di Bologna; Italia
Fil: Caduff, Rafael. Gamma Remote Sensing AG; Suiza
Fil: Cusicanqui, Diego. Universite Grenoble Alpes; Francia
Fil: Darrow, Margaret. University of Alaska; Estados Unidos
Fil: Delaloye, Reynald. Universite de Fribourg;
Fil: Echelard, Thomas. Universite de Fribourg; . Università di Bologna; Italia
Fil: Lambiel, Christophe. Universite de Lausanne; Suiza
Fil: Pellet, Cécile. Universite de Lausanne; Suiza
Fil: Ruiz, Lucas Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; Argentina
Fil: Schmid, Lea. Universite de Fribourg;
Fil: Sirbu, Flavius. West University of Timi¸soara; Rumania
Fil: Strozzi, Tazio. GAMMA Remote Sensing AG; Suiza - Materia
-
ROCKGLACIERS
RIGK
REMOTE SENSING
MOUNTAIN PERMAFROST - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/291227
Ver los metadatos del registro completo
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Rock Glacier Inventories (RoGIs) in 12 areas worldwide using a multi-operator consensus-based procedureRouyet, LineBolch, TobiasBrardinoni, FrancescoCaduff, RafaelCusicanqui, DiegoDarrow, MargaretDelaloye, ReynaldEchelard, ThomasLambiel, ChristophePellet, CécileRuiz, Lucas ErnestoSchmid, LeaSirbu, FlaviusStrozzi, TazioROCKGLACIERSRIGKREMOTE SENSINGMOUNTAIN PERMAFROSThttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1The Rock Glacier Inventories and Kinematics (RGIK) community has defined standards for generating Rock Glacier Inventories (RoGIs). In the framework of the European Space Agency Climate Change Initiative for Permafrost (ESA CCI Permafrost), we set up a multi-operator mapping exercise in 12 areas around the world. Each RoGI team was composed of 5 to 10 operators, involving 41 persons in total. Each operator performed similar steps following the RGIK guidelines (RGIK, 2023a) and using a similar QGIS tool. The individual results were compared and combined after common meetings to agree on the final consensus-based solutions. In total, 337 “certain” rock glaciers have been identified and characterised, and 222 additional landforms have been identified as “uncertain” rock glaciers. The dataset consists of three GeoPackage (gpkg) files for each area: (1) the primary markers (PMs) locating and characterising the identified rock glacier units (RGUs), (2) the moving areas (MAs) delineating areas with surface movement associated with the rock glacier creep based on spaceborne Interferometric Synthetic Aperture Radar (InSAR), and (3) the geomorphological outlines (GOs) delineating the restricted and extended rock glacier unit (RGU) boundaries. Here we present the procedure for generating consensus-based RoGIs, describe the data properties, highlight their value and limitations, and discuss potential applications. The final PM/MA/GO dataset is available on Zenodo (Rouyet et al., 2025; https://doi.org/10.5281/zenodo.14501398). The GeoPackage (gpkg) templates for performing similar RoGIs in other areas and exercises based on the QGIS tool are available on the RGIK website (https://www.rgik.org, last access: 15 August 2025).Fil: Rouyet, Line. Universite de Fribourg;Fil: Bolch, Tobias. Graz University Of Technology.; AustriaFil: Brardinoni, Francesco. Università di Bologna; ItaliaFil: Caduff, Rafael. Gamma Remote Sensing AG; SuizaFil: Cusicanqui, Diego. Universite Grenoble Alpes; FranciaFil: Darrow, Margaret. University of Alaska; Estados UnidosFil: Delaloye, Reynald. Universite de Fribourg;Fil: Echelard, Thomas. Universite de Fribourg; . Università di Bologna; ItaliaFil: Lambiel, Christophe. Universite de Lausanne; SuizaFil: Pellet, Cécile. Universite de Lausanne; SuizaFil: Ruiz, Lucas Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; ArgentinaFil: Schmid, Lea. Universite de Fribourg;Fil: Sirbu, Flavius. West University of Timi¸soara; RumaniaFil: Strozzi, Tazio. GAMMA Remote Sensing AG; SuizaCopernicus Publications2025-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/291227Rouyet, Line; Bolch, Tobias; Brardinoni, Francesco; Caduff, Rafael; Cusicanqui, Diego; et al.; Rock Glacier Inventories (RoGIs) in 12 areas worldwide using a multi-operator consensus-based procedure; Copernicus Publications; Earth System Science Data; 17; 8; 8-2025; 4125-41571866-3516CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://essd.copernicus.org/articles/17/4125/2025/info:eu-repo/semantics/altIdentifier/doi/10.5194/essd-17-4125-2025info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-08-25T15:40:50Zoai:ri.conicet.gov.ar:11336/291227instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-08-25 15:40:50.427CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
Rock Glacier Inventories (RoGIs) in 12 areas worldwide using a multi-operator consensus-based procedure |
| title |
Rock Glacier Inventories (RoGIs) in 12 areas worldwide using a multi-operator consensus-based procedure |
| spellingShingle |
Rock Glacier Inventories (RoGIs) in 12 areas worldwide using a multi-operator consensus-based procedure Rouyet, Line ROCKGLACIERS RIGK REMOTE SENSING MOUNTAIN PERMAFROST |
| title_short |
Rock Glacier Inventories (RoGIs) in 12 areas worldwide using a multi-operator consensus-based procedure |
| title_full |
Rock Glacier Inventories (RoGIs) in 12 areas worldwide using a multi-operator consensus-based procedure |
| title_fullStr |
Rock Glacier Inventories (RoGIs) in 12 areas worldwide using a multi-operator consensus-based procedure |
| title_full_unstemmed |
Rock Glacier Inventories (RoGIs) in 12 areas worldwide using a multi-operator consensus-based procedure |
| title_sort |
Rock Glacier Inventories (RoGIs) in 12 areas worldwide using a multi-operator consensus-based procedure |
| dc.creator.none.fl_str_mv |
Rouyet, Line Bolch, Tobias Brardinoni, Francesco Caduff, Rafael Cusicanqui, Diego Darrow, Margaret Delaloye, Reynald Echelard, Thomas Lambiel, Christophe Pellet, Cécile Ruiz, Lucas Ernesto Schmid, Lea Sirbu, Flavius Strozzi, Tazio |
| author |
Rouyet, Line |
| author_facet |
Rouyet, Line Bolch, Tobias Brardinoni, Francesco Caduff, Rafael Cusicanqui, Diego Darrow, Margaret Delaloye, Reynald Echelard, Thomas Lambiel, Christophe Pellet, Cécile Ruiz, Lucas Ernesto Schmid, Lea Sirbu, Flavius Strozzi, Tazio |
| author_role |
author |
| author2 |
Bolch, Tobias Brardinoni, Francesco Caduff, Rafael Cusicanqui, Diego Darrow, Margaret Delaloye, Reynald Echelard, Thomas Lambiel, Christophe Pellet, Cécile Ruiz, Lucas Ernesto Schmid, Lea Sirbu, Flavius Strozzi, Tazio |
| author2_role |
author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
ROCKGLACIERS RIGK REMOTE SENSING MOUNTAIN PERMAFROST |
| topic |
ROCKGLACIERS RIGK REMOTE SENSING MOUNTAIN PERMAFROST |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
| dc.description.none.fl_txt_mv |
The Rock Glacier Inventories and Kinematics (RGIK) community has defined standards for generating Rock Glacier Inventories (RoGIs). In the framework of the European Space Agency Climate Change Initiative for Permafrost (ESA CCI Permafrost), we set up a multi-operator mapping exercise in 12 areas around the world. Each RoGI team was composed of 5 to 10 operators, involving 41 persons in total. Each operator performed similar steps following the RGIK guidelines (RGIK, 2023a) and using a similar QGIS tool. The individual results were compared and combined after common meetings to agree on the final consensus-based solutions. In total, 337 “certain” rock glaciers have been identified and characterised, and 222 additional landforms have been identified as “uncertain” rock glaciers. The dataset consists of three GeoPackage (gpkg) files for each area: (1) the primary markers (PMs) locating and characterising the identified rock glacier units (RGUs), (2) the moving areas (MAs) delineating areas with surface movement associated with the rock glacier creep based on spaceborne Interferometric Synthetic Aperture Radar (InSAR), and (3) the geomorphological outlines (GOs) delineating the restricted and extended rock glacier unit (RGU) boundaries. Here we present the procedure for generating consensus-based RoGIs, describe the data properties, highlight their value and limitations, and discuss potential applications. The final PM/MA/GO dataset is available on Zenodo (Rouyet et al., 2025; https://doi.org/10.5281/zenodo.14501398). The GeoPackage (gpkg) templates for performing similar RoGIs in other areas and exercises based on the QGIS tool are available on the RGIK website (https://www.rgik.org, last access: 15 August 2025). Fil: Rouyet, Line. Universite de Fribourg; Fil: Bolch, Tobias. Graz University Of Technology.; Austria Fil: Brardinoni, Francesco. Università di Bologna; Italia Fil: Caduff, Rafael. Gamma Remote Sensing AG; Suiza Fil: Cusicanqui, Diego. Universite Grenoble Alpes; Francia Fil: Darrow, Margaret. University of Alaska; Estados Unidos Fil: Delaloye, Reynald. Universite de Fribourg; Fil: Echelard, Thomas. Universite de Fribourg; . Università di Bologna; Italia Fil: Lambiel, Christophe. Universite de Lausanne; Suiza Fil: Pellet, Cécile. Universite de Lausanne; Suiza Fil: Ruiz, Lucas Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; Argentina Fil: Schmid, Lea. Universite de Fribourg; Fil: Sirbu, Flavius. West University of Timi¸soara; Rumania Fil: Strozzi, Tazio. GAMMA Remote Sensing AG; Suiza |
| description |
The Rock Glacier Inventories and Kinematics (RGIK) community has defined standards for generating Rock Glacier Inventories (RoGIs). In the framework of the European Space Agency Climate Change Initiative for Permafrost (ESA CCI Permafrost), we set up a multi-operator mapping exercise in 12 areas around the world. Each RoGI team was composed of 5 to 10 operators, involving 41 persons in total. Each operator performed similar steps following the RGIK guidelines (RGIK, 2023a) and using a similar QGIS tool. The individual results were compared and combined after common meetings to agree on the final consensus-based solutions. In total, 337 “certain” rock glaciers have been identified and characterised, and 222 additional landforms have been identified as “uncertain” rock glaciers. The dataset consists of three GeoPackage (gpkg) files for each area: (1) the primary markers (PMs) locating and characterising the identified rock glacier units (RGUs), (2) the moving areas (MAs) delineating areas with surface movement associated with the rock glacier creep based on spaceborne Interferometric Synthetic Aperture Radar (InSAR), and (3) the geomorphological outlines (GOs) delineating the restricted and extended rock glacier unit (RGU) boundaries. Here we present the procedure for generating consensus-based RoGIs, describe the data properties, highlight their value and limitations, and discuss potential applications. The final PM/MA/GO dataset is available on Zenodo (Rouyet et al., 2025; https://doi.org/10.5281/zenodo.14501398). The GeoPackage (gpkg) templates for performing similar RoGIs in other areas and exercises based on the QGIS tool are available on the RGIK website (https://www.rgik.org, last access: 15 August 2025). |
| publishDate |
2025 |
| dc.date.none.fl_str_mv |
2025-08 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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publishedVersion |
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http://hdl.handle.net/11336/291227 Rouyet, Line; Bolch, Tobias; Brardinoni, Francesco; Caduff, Rafael; Cusicanqui, Diego; et al.; Rock Glacier Inventories (RoGIs) in 12 areas worldwide using a multi-operator consensus-based procedure; Copernicus Publications; Earth System Science Data; 17; 8; 8-2025; 4125-4157 1866-3516 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/291227 |
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Rouyet, Line; Bolch, Tobias; Brardinoni, Francesco; Caduff, Rafael; Cusicanqui, Diego; et al.; Rock Glacier Inventories (RoGIs) in 12 areas worldwide using a multi-operator consensus-based procedure; Copernicus Publications; Earth System Science Data; 17; 8; 8-2025; 4125-4157 1866-3516 CONICET Digital CONICET |
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eng |
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eng |
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application/pdf application/pdf |
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Copernicus Publications |
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Copernicus Publications |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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