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dc.contributor.author
Villarroel, Cristian Daniel  
dc.contributor.author
Tamburini Beliveau, Guillermo  
dc.contributor.author
Forte, Ana Paula  
dc.contributor.author
Monserrat, Oriol  
dc.contributor.author
Morvillo, Mónica Cristina  
dc.date.available
2019-11-25T18:16:16Z  
dc.date.issued
2018-10  
dc.identifier.citation
Villarroel, Cristian Daniel; Tamburini Beliveau, Guillermo; Forte, Ana Paula; Monserrat, Oriol; Morvillo, Mónica Cristina; DInSAR for a Regional Inventory of Active Rock Glaciers in the Dry Andes Mountains of Argentina and Chile with Sentinel-1 Data; MDPI AG; Remote Sensing; 10; 10; 10-2018; 1-21  
dc.identifier.issn
2072-4292  
dc.identifier.uri
http://hdl.handle.net/11336/89683  
dc.description.abstract
The Dry Andes region of Argentina and Chile is characterized by a highly developed periglacial environment. In these arid or semi-arid regions, rock glaciers represent one of the main pieces of evidence of mountain creeping permafrost and water reserves in a solid state. However, their distribution, degree of activity, and response to global warming are not yet well understood. In this context, this work aims to show the potential of the Sentinel-1-based interferometric technique (DInSAR) to map active rock glaciers at a regional level. In particular, the paper presents an active rock glacier inventory for the study area, which covers approximately 40,000 km2, ranging from latitude 30°210S to 33°210S. A total of 2116 active rock glaciers have been detected, and their elevations show a high correlation with the west-east direction. This result was obtained by using only 16 interferometric pairs. Compared to other remote sensing classification techniques, the interferometric technique offers a means to measure surface displacement (active rock glacier). This results in a reliable classification of the degree of activity compared to other methods, based on geomorphological, geomorphometric, and/or ecological criteria. This work presents evidence of this aspect by comparing the obtained results with existing optical data-based inventories. We conclude that the combination of both types of sensors (radar and optical) is an appropriate procedure for active rock glacier inventories, as both mapping methodologies are complementary.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
MDPI AG  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
DINSAR  
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DRY ANDES  
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MOUNTAIN PERMAFROST  
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ROCK GLACIER INVENTORIES  
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SENTINEL 1  
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Otras Ciencias de la Tierra y relacionadas con el Medio Ambiente  
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Ciencias de la Tierra y relacionadas con el Medio Ambiente  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
DInSAR for a Regional Inventory of Active Rock Glaciers in the Dry Andes Mountains of Argentina and Chile with Sentinel-1 Data  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2019-10-10T14:58:51Z  
dc.journal.volume
10  
dc.journal.number
10  
dc.journal.pagination
1-21  
dc.journal.pais
Suiza  
dc.journal.ciudad
Basilea  
dc.description.fil
Fil: Villarroel, Cristian Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Geología; Argentina  
dc.description.fil
Fil: Tamburini Beliveau, Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rosario; Argentina  
dc.description.fil
Fil: Forte, Ana Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; Argentina  
dc.description.fil
Fil: Monserrat, Oriol. Agencia Espacial Europea; España  
dc.description.fil
Fil: Morvillo, Mónica Cristina. Universidad Nacional de San Juan. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina  
dc.journal.title
Remote Sensing  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.mdpi.com/2072-4292/10/10/1588  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.3390/rs10101588