GNSS and RPAS Integration Techniques for Studying Landslide Dynamics: Application to the Areas of Victoria and Colinas Lojanas, (Loja, Ecuador)
Metadatos
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MDPI
Materia
RPAS GNSS Landslides Dynamics DSM Accuracy Loja (Ecuador, Provincia) Ecuador GCP SfM Measurements
Fecha
2021-09-03Referencia bibliográfica
Zárate, B.A.; El Hamdouni, R.; Fernández, T. GNSS and RPAS Integration Techniques for Studying Landslide Dynamics: Application to the Areas of Victoria and Colinas Lojanas, (Loja, Ecuador). Remote Sens. 2021, 13, 3496. [https://doi.org/10.3390/rs13173496]
Patrocinador
Private Technical University of Loja PROY_GMIC_1285Resumen
This research tests the application of GNSS and RPAS techniques to the spatiotemporal
analysis of landslide dynamics. Our method began by establishing non-permanent GNSS networks
on the slope surfaces to perform periodic measurements by differential GNSS. Similarly, RPAS flights
were made to acquire high-resolution images, which were oriented and georeferenced using ground
control points and structure-from-motion algorithms to ultimately obtain digital surface models
and orthophotos. Based on GNSS measurements, the direction and velocity of displacements were
accurately calculated, and orthophotos and DSMs were used to calculate horizontal and vertical
displacements in a set of significant points throughout the study area, reaching accuracies higher
than 0.035 m in the GNSS data and 0.10 m in the RPAS data. These values were within the accuracy
required for such studies. Based on the field observations and the results from the photogrammetric
studies, the two studied landslides were classified as very slow flows. These techniques are the
basis for establishing early warning systems in areas of natural hazards based on the calculation of
displacement speeds of the surface of slopes.