24 October 2013 Attempt of identification of wet areas with ASTER images for archeological studies
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Abstract
Satellite images are a tool increasingly used in environmental monitoring and in recent years have become also strongly used in the field of archaeology. In this study it was conducted an experimental analysis on the identification of wetlands from satellite images in order to identify sites of interest from the archaeological point of view because probable sites of ancient settlements. The studied area is the Plan de la Limagne which is located in North-East of the French city of Clermont-Ferrand. For wet areas identification were used two ASTER satellite images and pre-existing carthography. Different indexes have been used to identify wet areas. First of all, it was used the NDVI (Normalized Difference Vegetation Index) to discriminate bare soils. Secondly, through the Tasseled Cap transform, other indexes were obtained, such as the Greeness Index, the Brightness Index (SBI – Soil Brightnes Index) and the Wetness Index. Then it has been used the ATI index (Apparent Thermal Inertia) that provides information on the thermal inertia of soils. Through these indexes, visual inspection and the study of spectral signatures, it has been tried not only to identify wetlands within the images, but also to find repeatable processes for the detection of these areas. Some “anomalous” areas, that are probably wet areas, have been identified with this procedure. The identification of wet areas has been carried out in a raw way, this is surely a first approximation analysis. Certainly the in situ analysis would provide the possibility of a better evaluation, in fact field measurements could be used to calibrate the model and then find an effective and repeatable procedure for identifying wetlands.
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Eleonora Bertacchini, Eleonora Bertacchini, Francesca Despini, Francesca Despini, Sergio Teggi, Sergio Teggi, Alessandro Capra, Alessandro Capra, Marco Dubbini, Marco Dubbini, } "Attempt of identification of wet areas with ASTER images for archeological studies", Proc. SPIE 8893, Earth Resources and Environmental Remote Sensing/GIS Applications IV, 88931L (24 October 2013); doi: 10.1117/12.2029072; https://doi.org/10.1117/12.2029072
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