كتاب
Integration of data acquired using SfM orthoimagery correlation techniques and satellite InSAR techniques for the calculation of 3D displacements in densely vegetated unstable slopes
| العنوان: | Integration of data acquired using SfM orthoimagery correlation techniques and satellite InSAR techniques for the calculation of 3D displacements in densely vegetated unstable slopes |
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| المؤلفون: | López-Vinielles, Juan, García López-Davalillo, Juan Carlos, Hernández Ruiz, Mario, Sarro Triguero, Roberto, Martínez Corbella, Mónica, Béjar Pizarro, Marta, Mulas de la Peña, Joaquín, Fernández Merodo, José Antonio, Herrera García, Gerardo |
| المساهمون: | García López-Davalillo, Juan Carlos, Béjar Pizarro, Marta, Herrera García, Gerardo |
| بيانات النشر: | CSIC - Instituto Geológico y Minero de España (IGME) |
| سنة النشر: | 2022 |
| المجموعة: | Digital.CSIC (Consejo Superior de Investigaciones Científicas / Spanish National Research Council) |
| مصطلحات موضوعية: | Ortoimagen, Satélite InSAR, Deslizamiento ladera |
| الوصف: | [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. ; Peer reviewed |
| نوع الوثيقة: | book part |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | Publisher's version; https://doi.org/10.5281/zenodo.7092555Test; Sí; Proceedings : 1st Scientific-Technical Conference of the Geological and Mining Institute of Spain- National Center (IGME, CSIC): 133 (2022); http://hdl.handle.net/10261/309251Test |
| DOI: | 10.5281/zenodo.7092555 |
| الإتاحة: | https://doi.org/10.5281/zenodo.7092555Test http://hdl.handle.net/10261/309251Test |
| حقوق: | open |
| رقم الانضمام: | edsbas.21109147 |
| قاعدة البيانات: | BASE |
| DOI: | 10.5281/zenodo.7092555 |
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