Integration of data acquired using SfM orthoimagery correlation techniques and satellite InSAR techniques for the calculation of 3D displacements in densely vegetated unstable slopes

[EN] Detecting and monitoring slope movements is essential to better understand their causes and mitigate their adverse consequences. Satellite radar interferometry (InSAR) techniques allow to generate deformation maps at high resolution (both spatial and temporal), especially since 2014, when the E...

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Detalles Bibliográficos
Autores: López-Vinielles, Juan, García López-Davalillo, Juan Carlos, Hernández Ruiz, Mario, Sarro Trigueros, Roberto, Martínez Corbella, Mónica, Béjar Pizarro, Marta, Mulas de la Peña, Joaquín, Fernández Merodo, José Antonio, Herrera García, Gerardo
Tipo de recurso: otro
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/309251
Acceso en línea:http://hdl.handle.net/10261/309251
Access Level:acceso abierto
Palabra clave:Ortoimagen
Satélite InSAR
Deslizamiento ladera
Descripción
Sumario:[EN] Detecting and monitoring slope movements is essential to better understand their causes and mitigate their adverse consequences. Satellite radar interferometry (InSAR) techniques allow to generate deformation maps at high resolution (both spatial and temporal), especially since 2014, when the European Space Agency's Sentinel-1 mission (6-day revisit frequency) became operational. The application of InSAR is, however, constrained by a number of limitations. The main one relates to the inability of the technique to measure rapid deformation phenomena. In the case of Sentinel-1, for example, the maximum measurable deformation rate (along the satellite line of sight) is about 0.85 m/year. In this context, the application of digital photogrammetry (SfM) orthoimagery correlation techniques constitutes a directly applicable alternative for the remote monitoring of rapid slope movements. Moreover, whereas the application of InSAR monitoring techniques in densely vegetated areas is often impractical given the decorrelation produced by strong changes in the vegetation cover, the application of SfM monitoring techniques allows more effective analyses to be conducted in areas with abundant vegetation.

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