The presence of noisy contributions such as spikes, stripes and zigzag effects in magnetic data visualization represents the most common flaw that may degrade the image, rendering the correct detection and identification of archaeological features very uncertain. In order to overcome this serious disadvantage, a software package has been developed by implementing very simple algorithms based on statistical criteria. Some applications to field data are shown and discussed in order to demonstrate the program's ability to remove or minimize these undesired contributions.The results are very satisfactory: high-quality digital raster images may be produced.
This paper is focused on the joint use of multiscale remote sensing technologies for supporting archaeological prospection. Satellite imagery, aerial photographs and high-resolution magnetic surveyswere adopted for studying theTavoliere, an extended agriculturalregionlocatedin Northern Apulia (Italy) that is characterized by an abundant presence of archaeological sites. A first recognition of the archaeological features was performed by historical aerial photographs and satellite QuickBird images were used to obtain an up-to-date synoptic view of the study area. Archaeological features extracted from both aerialand satellite images, were further investigated by high-resolution magnetic survey, which provided detailed identification of buried remains. All data were stored in a GIS in order to integrate them properly. This database was used to cross-check information of different types and determine significant correlations. The multilayer analysis in the GIS environment allowed for a comprehensive reconstruction of ancient landscapes and their palaeoenvironmental context, as well as the present geomorphological and territorial setting. Moreover it represents an open information system that could always be upgraded by inputting new data from future studies. Results from our analysessuggest that thismultidisciplinaryandmultiscaleapproach, inadditiontoitsimportant scientific implications, could yield meaningful information for the preservation, monitoring and management of the cultural resource, from a single site to a landscape perspective; thus this integrated tool could play a strategic role in defining proper policies of sustainable development in this region.
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