This special issue explores some aspects of advances in geophysics and remote sensing. The challenges described are especially linked to geophysical developments, as existing methods for landslide studies often need to be adapted. In contrast, most RS tools produce data that can be interpreted using existing techniques. In particular, SFM is a simple and cheap technique that is increasingly used and will certainly soon appear in>20% of published papers, because it provides useful 3D images and DEM of high resolution. Although bibliometric analysis gives only a partial viewpoint, it puts research trends in perspective. It is significant that RS is more frequently found in the literature than is geophysics. On the other hand, most papers in this special issue are related to geophysics, underlining the above statement that geophysics needs more development. RS is benefiting from the boom of tools such as satellite InSAR and LiDAR, which provide valuable data for landslide analysis but do not require specific developments. This analysis also demonstrates that the evolution of these tools is closely linked to the availability of new instruments, computer codes and new developments and the low costs of electronics. The two research axes, the understanding and monitoring of landslide processes, are closely related to the above evolutions. However, the two are linked because they fulfil part of the need for observations of slope stability evolution with time, which is currently a major research topic in landslide studies. Landslide research is also highly dependent on instrumental development and data treatments, i.e., advances in physics, computer sciences and electronics. For example, a new type of quantum gravimeter will allow significant progress in the highly accurate permanent monitoring of groundwater.
Scheda prodotto non validato
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo
|Titolo:||Characterizing and monitoring landslide processes using remote sensing and geophysics|
|Data di pubblicazione:||2019|
|Appare nelle tipologie:||1.1 Articolo in rivista|