Monitoring surface velocity changes of rock glaciers in the Chilean Andes using DINSAR technique with PAZ imagery

dc.contributor.affiliationDepartamento de Ingeniería Cartográfica Geodesia y Fotogrametría
dc.contributor.affiliationEscuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica
dc.contributor.affiliationGrupo de Cartografía Geoambiental y Teledetección
dc.contributor.authorVidal-Páez, Paulina Javieraes_ES
dc.contributor.authorFernández-Sarría, Alfonso
dc.contributor.authorGonzález-Bonilla, María Josées_ES
dc.contributor.authorDerauw, Dominiquees_ES
dc.contributor.authorPerez-Martinez, Waldoes_ES
dc.contributor.authorAzócar, Guillermoes_ES
dc.contributor.authorOrtega, Jaime H.es_ES
dc.contributor.funderInstituto Nacional de Tecnología Agropecuariaes_ES
dc.date.accessioned2025-04-01T10:13:23Z
dc.date.available2025-04-01T10:13:23Z
dc.date.issued2024es_ES
dc.description.abstract[EN] Vertical deformation associated with the displacement of rock glaciers in the upper Mapocho river basin, in the central Andes of Chile, was monitored using a series of PAZ radar satellite images and the DInSAR technique. Forty-one PAZ images of ascending and descending orbit were processed with the Small Baseline Subset (SBAS) technique. Regarding the obtained results, it was estimated that the vertical displacement velocity of rock glaciers between October 9, 2019 and April 22, 2021 reached up to -22 mm/year and the movement in the W-E direction ranged from -47 to 38 mm/year. This remote sensing technique is a useful tool to measure the surface displacement of rock glaciers, compared to conventional techniques such as GNSS point measurements, especially in the semi-arid Andes, which is one of the most important reservoirs of these geoforms worldwide.en_EN
dc.description.accrualMethodSes_ES
dc.description.bibliographicCitationVidal-Páez, PJ.; Fernández-Sarría, Alfonso; González-Bonilla, MJ.; Derauw, D.; Perez-Martinez, W.; Azócar, G.; Ortega, JH. (2024). Monitoring surface velocity changes of rock glaciers in the Chilean Andes using DINSAR technique with PAZ imagery. Procedia Computer Science. 239:2142-2149. https://doi.org/10.1016/j.procs.2024.06.402es_ES
dc.description.referencesCrosetto,M., Crippa, B., Biescas, E. (2005). Early detection and in-depth analysis of deformation phenomena by radar interferometry, Engineering Geology, 79 (1-2), 81-91, ISSN 0013-7952, https://doi.org/10.1016/j.enggeo.2004.10.016.es_ES
dc.description.referencesBiescas, E., Agudo, M., Monserrat, O., Ibañez, C., Crosetto, M. (2005). Aplicaciones de la interferometría SAR para la medida de deformaciones del terreno”. Instituto de Geomática, Castelldefels, España.es_ES
dc.description.referencesCasu, F., Manzo, M., Lanari,R. (2006). A quantitative assessment of the SBAS algorithm performance for surface deformation retrieval from DInSAR data. Remote Sensing of Environment, 102, 3-4, 195-210, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2006.01.023.es_ES
dc.description.referencesNannini M, Prats-Iraola P, Scheiber R, Yague-Martinez N, Minati M, Vecchioli V. (2016). Sentinel-1 mission: Results of the InSARap project. 11th European Conference on Synthetic Aperture Radar; 6-9 June 2016. Hamburg, Germany: VDE Verlag; 2016. p. 1-4es_ES
dc.description.referencesGrebby, S., Orynbassarova, E., Sowter, A., Gee, D., Athab, A. (2019). Delineating ground deformation over the Tengiz oil field, Kazakhstan, using the Intermittent SBAS (ISBAS) DInSAR algorithm. In International Journal of Applied Earth Observation and Geoinformation, 81, 37-46. https://doi.org/10.1016/j.jag.2019.05.001es_ES
dc.description.referencesKalia, A.C., Frei, M. Lege, T. (2017). A Copernicus downstream-service for the nationwide monitoring of surface displacements in Germany, Remote Sensing of Environment, 202, 234-249, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.05.015.es_ES
dc.description.referencesMassonnet, D., Feigl, K.L. (1998). Radar Interferometry and its application to changes in the Earth’s surface”, Reviews of Geophysics, 36 (4) 441-500.es_ES
dc.description.referencesFerretti, A., Monti-Guarnieri A., Prati, C., Rocca, F., Massonnet, D. (2007). InSAR Principles: Guidelines for SAR Interferometry Processing and Interpretation. ESA Publications, TM-19. ISBN 92-9092-233-8.es_ES
dc.description.referencesBerardino, P., Fornaro, G., Lanari, R. & Sansosti, E. (2002). A new algorithm for surface deformation monitoring based on Small Baseline Difefferential SAR Interferograms. IEEE Transactions on Geoscience and Remote Sensing, 40 (11), 2375-2383. https://doi.org/10.1109/TGRS.2002.803792es_ES
dc.description.referencesLanari, R., Casu, F., Manzo, M., Zeni, G., Berardino, P., Manunta, M., & Pepe, A. (2007). An Overview of the Small BAseline Subset Algorithm: a DInSAR Technique for Surface Deformation Analysis. Pure and Applied Geophysics, 164(4), 637-661. https://doi.org/10.1007/s00024-007-0192-9es_ES
dc.description.referencesYastika, P. E., Shimizu, N., & Abidin, H. Z. (2019). Monitoring of long-term land subsidence from 2003 to 2017 in coastal area of Semarang, Indonesia by SBAS DInSAR analyses using Envisat-ASAR, ALOS-PALSAR, and Sentinel-1A SAR data. Advances in Space Research, 63(5), 1719-1736. https://doi.org/10.1016/j.asr.2018.11.008es_ES
dc.description.referencesBarsch, D. (1996). Rockglaciers: Indicators for the present and former geoecology in high mountain environments. Berlin, Germany: Springer.es_ES
dc.description.referencesBurger, K. C., Degenhardt, J. J., & Giardino, J. R. (1999). Engineering geomorphology of rock glaciers. Geomorphology, 31(1-4), 93-132. https://doi.org/10.1016/s0169-555x(99)00074-4es_ES
dc.description.referencesHaeberli. (2000). Modern research perspectives relating to permafrost creep and rock glaciers: A discussion. Permafrost and Periglacial Processes. 11(4). doi:10.1002/1099-1530(200012)11:4<290::AID-PPP372>3.0.CO;2-0.es_ES
dc.description.referencesAzócar, G. F., & Brenning, A. (2009). Hydrological and geomorphological significance of rock glaciers in the dry Andes, Chile (27°–33°S). Permafrost and Periglacial Processes, 21(1), 42-53. Portico. https://doi.org/10.1002/ppp.669es_ES
dc.description.referencesBrenning, A. (2005). Geomorphological, hydrological and climatic significance of rock glaciers in the Andes of Central Chile (33–35°S). Permafrost and Periglacial Processes, 16(3), 231-240. Portico. https://doi.org/10.1002/ppp.528es_ES
dc.description.referencesBodin, X., Rojas, F., & Brenning, A. (2010). Status and evolution of the cryosphere in the Andes of Santiago (Chile, 33.5°S.). Geomorphology, 118(3-4), 453-464. https://doi.org/10.1016/j.geomorph.2010.02.016es_ES
dc.description.referencesCompañia minera Nevada Ltda. (2010). Informe técnico. Monitoreo de la dinamica de los glaciares rocosos. Cuenca superior del rio Huasco. Mediciones 2009‐2010. Linea de base de la crioesfera. Pascua-Lamaes_ES
dc.description.referencesGeoestudios (2019). Estudio de Impacto Ambiental de Los Bronces Integrado. Línea de base de glaciares.es_ES
dc.description.referencesBataller, F.J. (2019) Pyrenaic rock-glaciers: an airborne and multitemporal lidar monitoring case study in the Besiberri area. Earth ArXiv, https://doi.org/10.31223/osf.io/nxveh.es_ES
dc.description.referencesLiu, L.; Millar, C.I.; Westfall, R.D.; Zebker, H.A.(2013). Surface motion of active rock glaciers in the Sierra Nevada, California, USA: Inventory and a case study using InSAR. Cryosphere 7, 1109.es_ES
dc.description.referencesWang, X., Liu, L., Zhao, L., Wu, T., Li, Z., and Liu, G. (2017). Mapping and inventorying active rock glaciers in the northern Tien Shan of China using satellite SAR interferometry, The Cryosphere, 11, 997-1014, https://doi.org/10.5194/tc-11-997-2017, 2017.es_ES
dc.description.referencesVillarroel, C.D.; Tamburini Beliveau, G.; Forte, A.P.; Monserrat, O.; Morvillo, M. (2018). DInSAR for a Regional Inventory of Active Rock Glaciers in the Dry Andes Mountains of Argentina and Chile with Sentinel-1 Data. Remote Sens. 10, 1588. https://doi.org/10.3390/rs10101588es_ES
dc.description.referencesDGA. (2019). Boletines hidrológicos y pronóstico anuales, Dirección General de Aguas, Ministerio de Obras Públicas de Chile. Retrieved March 11, 2019, from http://www.dga.cl/Paginas/default.aspxes_ES
dc.description.referencesAzocar, G. (2013). Modeling of Permafrost Distribution in the Semi-Arid Chilean Andes. Master’s Thesis, University of Waterloo,Waterloo, ON, CA.es_ES
dc.description.referencesArenson, L., Hoelzle, M., & Springman, S. (2002). Borehole deformation measurements and internal structure of some rock glaciers in Switzerland. Permafrost and Periglacial Processes, 13(2), 117-135. Portico. https://doi.org/10.1002/ppp.414es_ES
dc.description.referencesANGLOAMERICAN (2019). Estudio de Impacto Ambiental de Los Bronces Integrado. Línea de base de Geología, Geomorfología y Peligros Naturales.es_ES
dc.description.referencesUnidad de Gestión de Proyectos del Instituto de Geografía de la Pontificia Universidad Católica de Chile [UGP UC]. (2010). Dinámica de glaciares rocosos. Dirección General de Aguas, Unidad de Glaciología y Nieves. Santiago: Ministerio de Obras Públicas.es_ES
dc.description.referencesBrenning, A. (2005b). Climatic and geomorphological controls of rock glacier in the Andes of central of Chile. Doctoral thesis, Humboldt-Universität, MathematischNaturwissenschaftliche Fakultät II, Berlin, Germany.es_ES
dc.description.referencesSamsonov. (2012). Multidimensional time-series analysis of ground deformation from multiple InSAR data sets applied to Virunga Volcanic Province. Geophysical Journal International,. 191(3).es_ES
dc.description.referencesDerauw, D., Nicolas, D., Jaspard, M., Caselli, A., Samsonov, S. (2020). Ongoing automated ground deformation monitoring of Domuyo - Laguna del Maule area (Argentina) using Sentinel-1 MSBAS time series: Methodology description and first observations for the period 2015-2020. J. S. Am. Earth Sci. 104, 102850.es_ES
dc.description.referencesSamsonov, S., Dille, A., Dewitte, O., Kervyn, F., d‘Oreye, N., 2020. Satellite interferometry for mapping surface deformation time series in one, two and three dimensions: A new method illustrated on a slow-moving landslide. Eng. Geol. 266, 105471. http://dx.doi.org/10.1016/j.enggeo.2019.105471.es_ES
dc.description.referencesMinisterio del Medio Ambiente Chile (2023). Principales proyecciones climáticas para Chile. https://cambioclimatico.mma.gob.cl/proyecciones-climaticas/es_ES
dc.description.sponsorshipThe authors thank INTA (National Institute of Aerospace Technology) as part of PAZ-Ciencia (Scientific Exploitation of PAZ, project nr. PAZ-AO-001 050) who provided all PAZ images and the Anglo American Company who sponsored the field data collection (photographs).es_ES
dc.description.upvformatpfin2149es_ES
dc.description.upvformatpinicio2142es_ES
dc.description.volume239es_ES
dc.identifier.doi10.1016/j.procs.2024.06.402es_ES
dc.identifier.eissn1877-0509es_ES
dc.identifier.urihttps://riunet.upv.es/handle/10251/220186
dc.languageIngléses_ES
dc.publisherElsevieres_ES
dc.relation.ispartofProcedia Computer Sciencees_ES
dc.relation.pasarelaS\526453es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/INTA//PAZ-AO-001-050/es_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.procs.2024.06.402es_ES
dc.rightsReconocimiento - No comercial - Sin obra derivada (by-nc-nd)es_ES
dc.rights.accessRightsAbiertoes_ES
dc.subjectPAZ imageses_ES
dc.subjectSBASes_ES
dc.subjectDInSARes_ES
dc.subjectRock glacieres_ES
dc.titleMonitoring surface velocity changes of rock glaciers in the Chilean Andes using DINSAR technique with PAZ imageryes_ES
dc.typeArtículoes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dspace.entity.typePublicationes_ES
person.identifier35271
person.identifier.orcid0000-0001-5533-7661
relation.isAuthorOfPublication64a66e50-8059-4c1e-b165-a08cff8ea857
relation.isAuthorOfPublication.latestForDiscovery64a66e50-8059-4c1e-b165-a08cff8ea857
relation.isOrgUnitOfPublicationd6948e84-fae2-4b0a-b844-a4930d5b8f47
relation.isOrgUnitOfPublication9d1abfb4-d3a8-4bda-ae58-13f1971682a0
relation.isOrgUnitOfPublication7643bd28-044e-42eb-800c-828979b9f99a
relation.isOrgUnitOfPublication.latestForDiscoveryd6948e84-fae2-4b0a-b844-a4930d5b8f47
upv.uuid021a3908-ea36-4353-83a3-217cc8a225fdes_ES

Archivos

Bloque original

Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
Vidal-PaezFernandez-SarriaGonzalez-Bonilla - Monitoring surface velocity changes of rock glaciers....pdf
Tamaño:
1.77 MB
Formato:
Adobe Portable Document Format
Descripción:
Versión editorial