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The images of the study area were categorized into five different classes namely vegetation, agriculture, barren, built-up and water body.
Using the Spectral Mixture Analysis (SMA) and decision-tree methods, we interpreted Landsat TM/ETM + images of the study area during four years: 1993, 2000, 2006 and 2011.
Pre-event and post-event images of the study area taken by the QuickBird satellite, and information on the location and type of landslides obtained in the field and through the interpretation of post-event aerial photographs, were used to construct and validate a set of terrain classification models.
Figure 3 depicts representative PET images of the study groups.
Fig. 4 Optical sensor images of the study area.
AV: Alta Vista Fig. 2 Images of the study area taken by SELENE.
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An excellent agreement of AAO structural features measured in FE-SEM images of the studied samples with results from software calculations was observed.
In Table 2 images of the studied door frames are shown while a brief description provided on the churches in which they are situated.
FMI images of the studied well indicate the presence of a breakout with an average width of 46° at depth of 4143 m, but there is not induced fracture in this depth.
The tests involved anthropometric measurements based on images of the studied surface.
The DEJ was not apparent in the majority of the images of this study.
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