Application of high-resolution stereo satellite images to detailed landslide hazard assessment

Preliminary results from active landslide monitoring using multidisciplinary surveys

“…In the first case, the very high resolution data of the newer satellites such as QuickBird, GeoEye, WorldView-2 can cover large or isolated areas with acceptable accuracies for landslide damage mapping. Nichol et al (2006) proved that IKONOS stereo images overpass the requirements of landslide hazard assessment when the scale of observations is between 10 and 100 m and where microscale features to be identified have dimensions of 1-10 m. The major drawbacks are the high cost of data acquisition that makes the repeated monitoring impossible and the dependence to the weather conditions. Interferometry using radar data overpasses the obstacles of weather conditions and costs but it requires specialized software and large time series.…”

“…Airphotos or satellite data and image analysis techniques can be an alternative solution for landslide mapping and monitoring (Fabris, Menin, & Achill, 2011;Mondini et al, 2011;Nichol, Shaker, & Wong, 2006). They present the advantage of covering broader areas within one scene and the drawback of repeatability as the purchase of very high resolution satellite data and the airplane campaigns are quite expensive.…”

Airborne laser scanning : for forested landslides investigation in temperate and tropical invironments

“…Visual interpretation of mono-and stereoscopic satellite images using a various visualisations based on different band combinations of multispectral imagery that may be pan-sharpened (e.g. Hovius et al, 1997;Nichol et al, 2006;Marcelino et al, 2009;Fiorucci et al, 2011). Analysis of satellite-and airborne-based synthetic aperture radar (SAR), e.g.…”

“…(Semi)-automated classification of multispectral satellite images based on spectral and topographic characteristics (Nichol et al, 2006;Tarolli et al, 2010;Mondini et al, 2011). For example, an automated classification scheme has been carried out using an object-oriented knowledge-based method (Martha et al, 2010(Martha et al, , 2011(Martha et al, , 2012Stumpf and Kerle, 2011).…”

“…For sparsely or non-vegetated areas, various landslide mapping techniques are available, e.g. using single or multi-temporal aerial photographs (Brardinoni et al, 2003;Van Westen and Lulie Getahun, 2003;Prokesova et al, 2010), high spatial resolution satellite images (Nichol et al, 2006), or satellite-based synthetic aperture radar (Rott, 2009). In forested terrain, these techniques are less effective to identify landslides.…”