Abstract

This paper deals with the use of aerial photogrammetry and LiDAR techniques to analyze landslide activity over a long time span—just over 32 years. The data correspond to several aerial surveys (1984, 1996, 2001, 2005, 2009, 2010, 2011, 2013 and 2016) covering an area of about 50 km2 along highway A-44, near Jaén (Southern Spain). An ad hoc combined photogrammetric and LiDAR aerial survey of 2010 was established as the reference flight. This flight was processed by means of direct orientation methods and iterative adjustments between both data sets. Meanwhile, historical flights available in public geographical data servers were oriented by transferring ground control points from the reference flight. Then, digital surface models (DSMs) and orthophotographs were generated, as well as the corresponding differential models (DoDs), which, after the application of filters and taking into account the estimated uncertainty of ± 1 m, allowed us to identify true changes on the ground surface. This analysis, complemented by photointerpretation, led us to obtain a landslide multitemporal inventory in the study area that was analyzed in order to characterize the landslide type, morphology and activity. Three basic typologies were identified: rock falls–collapses, slides and flows. These types present different morphometric properties (area, perimeter and height interval) and are associated with different conditions (height, slope, orientation and lithology). Moreover, a set of monitoring areas, common for the different flights, was also used to analyze the activity throughout the study period. Thus, some more active periods were identified (2009–2010, 2010–2011, 2011–2013 and 1996–2001) among other less active ones (1984–1996, 2001–2005, 2005–2009 and 2013–2016), which are related to rainy events and dry years, respectively.

Highlights

  • The estimation of landslide activity and its dating is crucial in risk analyses, since it allows the determination of hazards in terms of spatiotemporal probability, one of the components of the risk equation [1]

  • Aerial LiDAR and photogrammetry techniques were integrated in order to elaborate a multitemporal landslide inventory and monitor the landslide activity in a relative wide area of about 50 km2. To date, these analyses have focused on individual landslides or small areas

  • A set of monitoring areas was analyzed in order to determine the landslide activity of this area

Read more

Summary

Introduction

The estimation of landslide activity and its dating is crucial in risk analyses, since it allows the determination of hazards in terms of spatiotemporal probability, one of the components of the risk equation [1]. Landslide dating is difficult in most cases, so it is usually reduced either to the direct dating of a reduced sample of individual landslides or to the dating of the triggering factors in order to determine the activity in an indirect manner. Direct dating is performed with complex and sometimes invasive techniques, which restricts its use generally to individual cases. Geomorphological analysis is a primary tool for obtaining multitemporal inventories [2,3]. This geomorphological analysis is usually based on photointerpretation, which is a time-consuming technique and introduces a certain subjectivity into the analysis [3,4].

Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call