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Landscape Pattern Detection in Archaeological Remote Sensing
Open AccessEditorial

Remote Sensing and Geosciences for Archaeology

Italian Space Agency (ASI), Via del Politecnico snc, 00133 Rome, Italy
Geosciences 2018, 8(2), 41; https://doi.org/10.3390/geosciences8020041
Received: 20 January 2018 / Revised: 22 January 2018 / Accepted: 22 January 2018 / Published: 25 January 2018
(This article belongs to the Special Issue Remote Sensing and Geosciences for Archaeology)
Archaeological remote sensing is not a novel discipline. Indeed, there is already a suite of geoscientific techniques that are regularly used by practitioners in the field, according to standards and best practice guidelines. However, (i) the technological development of sensors for data capture; (ii) the accessibility of new remote sensing and Earth Observation data; and (iii) the awareness that a combination of different techniques can lead to retrieval of diverse and complementary information to characterize landscapes and objects of archaeological value and significance, are currently three triggers stimulating advances in methodologies for data acquisition, signal processing, and the integration and fusion of extracted information. The Special Issue “Remote Sensing and Geosciences for Archaeology” therefore presents a collection of scientific contributions that provides a sample of the state-of-the-art and forefront research in this field. Site discovery, understanding of cultural landscapes, augmented knowledge of heritage, condition assessment, and conservation are the main research and practice targets that the papers published in this Special Issue aim to address. View Full-Text
Keywords: remote sensing; optical; SAR; geophysics; terrestrial laser scanning; point cloud; GIS; archaeological prospection; pattern recognition; condition assessment remote sensing; optical; SAR; geophysics; terrestrial laser scanning; point cloud; GIS; archaeological prospection; pattern recognition; condition assessment
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Tapete, D. Remote Sensing and Geosciences for Archaeology. Geosciences 2018, 8, 41.

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