Michele Santangelo (1, 2), 2014, Remote sensing in landslide studies_ data collection, uncertainty evaluation, and applications., 2014,
URL: http://www.cnr.it/prodotto/i/305008

Landslides play an important role in landscapes evolution and landforms shaping, and are a widespread natural hazard in many areas of the World. Due to the large range of types, sizes, and velocities of landslides, and to the complexity of their underlying physical processes, many methods exist for mapping landslides and for studying their spatial distribution as a function of the local geological setting. The work begins with a critical review of the literature, aiming at reviewing the methods used for landslide mapping, including aerial photo-interpretation (API), field mapping, LiDAR derived images, and satellite images. Next, I analyse landslide inventory maps that I prepared through the visual interpretation of aerial photographs, field survey and visual inspection of LiDAR derived images, and I discuss problems associated to different methods for landslide data collection. I further compare traditional field based event inventories to event inventories obtained by exploiting new technologies and modern remote sensing data. Next, I evaluate the applicability of LiDAR derived images for historical landslide and event landslide inventory in densely forested, tropical areas, where other remote sensing data fail to provide detailed landslide information. Next, I prepare an historical landslide inventory that I compare to maps prepared by other interpreters with different experiences and backgrounds. I present three new indices for comparing landslide inventory maps in terms of landslide position, size, and geometrical agreement, at the scale of the single landslides. Use of the indices opens to the possibility of improved assessments of the quality of landslide inventory maps. Next, I present a method for obtaining and interpolating geological bedding attitude data from API, and I use the results to measure the influence of bedding attitude on landslide abundance and type. I conclude by drawing general considerations on the production of landslide inventory maps, and on their quantitative comparison, and on the quantitative assessment of the influence of bedding attitude on landslides abundance and types. The conclusions are drawn based on a research carried out mostly in study areas of south and in central Italy, and partly in a forested area in Malaysia. The lessons learned in these areas can be applied in similar physiographic and climatic regions.

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