GIS and remote sensing for post-dictive analysis of archaeological features. A case study from the Etnean region (Sicily)

This article illustrates the potential of multispectral satellite data for archaeological scope in the volcanic area of Mount Etna (Sicily, Italy). In particular, by adopting a post-dictive approach, GIS and FOSS technology was used to analyse different indices derived from World-View-2 multispectral data. The selected examples (two circular buildings and a wall-structure) illustrate successes and challenges of our method. The results indicate that NIR-1 and RED-EDGE are undoubtedly the most useful, while NDVI and SRI are the best performing indices

Automatic detection of potential buried archaeological sites in Saruq Al-Hadid, United Arab Emirates

The use of remote sensing in archaeological research allows the prospection of sub-surfaces in arid regions non- intrusively before the on-site investigation and excavation. While the actual detection method of expected buried archaeological structures is based on visual interpretation, this work provides a supporting archaeological guidance using remote sensing. The aim is to detect potential archaeological remains underneath the sand. This paper focuses on Saruq Al-Hadid surroundings, which is an archaeologist site discovered in 2002, located about 50 km south-east of Dubai, as archaeologists believe that other archaeological sites are potentially buried in the surroundings. The input data is derived from a combination of wavelength L-band Synthetic Aperture Radar (ALOS PALSAR), which is able to penetrate the sand, and multispectral optical images (Landsat 7). This paper develops a new strategy to help in the detection of suspected buried structures. The data fusion of surface roughness and spectral indices enables tackling the well-known limitation of SAR images and offers a set of pixels having an archaeological signature different from the manmade structures. The potential buried sites are then classified by performing a pixel-level unsupervised classification algorithm such as K-means cluster analysis. To test the performance of the proposed method, the results are compared with those obtained by visual interpretation

Detecting Underground Military Structures Using Field Spectroscopy

Satellite remote sensing is considered as an increasingly important technology for detecting underground structures. It can be applied to a wide range of applications, as shown by various researchers. However, there is a great need to integrate information from a variety of sources, sent at different times and of different qualities using remote sensing tools. A SVC-HR1024 field spectroradiometer could be used, and in-band reflectance’s are determined for medium- and high-resolution satellite sensors, including Landsat. Areas covered by natural soil where underground structures are present or absent can easily be detected, as a result of the change in the spectral signature of the vegetation throughout the phenological stages; in this respect, vegetation indices (VIs) such as the normalized difference vegetation index (NDVI), simple ratio (SR), and enhanced vegetation index (EVI) may be used for this purpose. Notably, the SR vegetation index is useful for determining areas where military underground structures are present

Immagini satellitari ad alta risoluzione e ricerca archeologica: applicazioni e casi di studio con riprese pancromatiche e multispettrali di QuickBird

The paper concerns the research activities of the IBAM-CNR and the IMAA-CNR in the field of archaeological remote sensing with the use of very high resolution images of QuickBird, the satellite with the greatest geometrical resolution available for civil use. These images have an enormous potential in the study of ancient urban and territorial contexts and for the identification and spatial characterization of archaeological sites, particularly when aerial photos and recent detailed maps are not available. During the archaeological research in Hierapolis of Phrygia (Turkey) and in southern Italy (Monte Irsi, Monte Serico, Jure Vetere and Metaponto), the examination and the study of panchromatic and multispectral images of QuickBird made it possible to detect surface anomalies and traces linked to ancient buried structures or to paleo-environmental elements; moreover, panchromatic images were georeferenced and used as the base field maps for the survey in Hierapolis, together with GPS systems. The satellite images were analysed both for the identification of archaeological features and for the characterisation of the contexts in which these elements were found. During field work, the traces and the anomalies identified in the images were constantly verified, so as to determine their actual relevance to archaeological elements, to interpret them and, where possible, to specify their chronology, thus avoiding misunderstandings and errors. The images were used in all phases of the research (field work, documentation, data processing and management in GIS environment), in combination with the aerial photographs and the available maps; they were also used for presentation of the results and were draped on DEM for the 3D visualization of the territories and of the archaeological features. In order to highlight particular archaeological traces and anomalies some image processing methodologies were adopted: multispectral processing and algorithms of data fusion (with the integration of the high spatial resolution of panchromatic images with the spectral capability of multispectral images), of enhancement (such as PCA, NDVI and TCT) and edge detection

A view on Greater Angkor: a multi-scalar approach for investigating the Khmer forests

This paper will focus on the results of a joint international project (a partnership between the University of Sydney and the University of Venice) that develops and applies satellite remote sensing methodologies for finding and mapping unknown archaeological sites in the surroundings of Angkor, in Cambodia. Long famous for its temples, this World Heritage site is now increasingly recognized as a vast, low-density urban landscape. The project consists of using the spectral content of remotely sensed images to reveal the presence of buried sites and structures of the ancient Khmer landscape on the basis of the different spectral characteristics of the terrain and vegetation. By applying spectral analysis, the current research aims to scan vegetated and bare soil areas in order to clarify features that are ambiguous in existing maps and reveal features which would otherwise remain undetected

A Field Survey and Geographical Information Systems (GIS) Based Investigation of the Archaeological Landscape in the Niger River Valley, Republic of Benin

Abstract The Niger River Valley in the Republic of Benin is an archaeologically rich landscape, where hundreds of sites line the river’s tributaries. Before this doctoral research was conducted in the region, the landscape here was a terra-incognita. In order to archaeologically investigate the area, several methods were used consisting of a field walking survey, and the use of satellite remote sensing and Geographical Information Systems (GIS). An integration of these methods, which are commonly used in research out of Africa, showed the diverse nature of archaeology in this region. The field walking survey revealed the position of over 300 sites and around 50,000 material culture artefacts, comprising of mainly ceramic vessel sherds. The field survey was undertaken over 45 days and covered a total area of 25km2 within four geographical zones in the study area. A comprehensive gazetteer was produced from the data collected. Remote sensing methods that manipulate multispectral satellite imagery were used to identify sites from the air, because the archaeology of this region is not visible from standard air photographs. The mapping of sites using GIS facilitated in establishing fundamental landscape patterns, which helped substantiate theories surrounding West African urbanism and human-environment interactions. The results conveyed that settlements in this region favour areas where water is available, mainly close to perennial and ephemeral fluvial systems. Furthermore, the archaeological sites identified display strong evidence of spatial clustering, which has been shown in other West African contexts to be indicative of early urbanisation

Potentialities and limitations of research on VHRS data : Alexander the Great’s military camp at Gaugamela on the Navkur Plain in Kurdish Iraq as a test case

This paper presents a selected aspect of research conducted within the Gaugamela Project, which seeks to finally identify the location of one of the most important ancient battles: the Battle of Gaugamela (331 BCE). The aim of this study was to discover material remains of the Macedonian military camp on the Navkur Plain in Kurdish Iraq. For this purpose, three very high resolution satellite (VHRS) datasets from Pleiades and WorldView-2 were acquired and subjected to multi-variant image processing (development of different color composites, integration of multispectral and panchromatic images, use of principle component analysis transformation, use of vegetation indices). Documentation of photointerpretation was carried out through the vectorization of features/areas. Due to the character of the sought-after artifacts (remnants of a large enclosure), features were categorized into two types: linear features and areal features. As a result, 19 linear features and 2 areal features were found in the study area of the Mahad hills. However, only a few features fulfilled the expected geometric criteria (layout and size) and were subjected to field groundtruthing, which ended in negative results. It is concluded that no traces have been found that could be interpreted as remnants of an earthen enclosure capable of accommodating around 47,000 soldiers. Further research perspectives are also suggested

Google earth engine as multi-sensor open-source tool for supporting the preservation of archaeological areas: The case study of flood and fire mapping in metaponto, italy

In recent years, the impact of Climate change, anthropogenic and natural hazards (such as earthquakes, landslides, floods, tsunamis, fires) has dramatically increased and adversely affected modern and past human buildings including outstanding cultural properties and UNESCO heritage sites. Research about protection/monitoring of cultural heritage is crucial to preserve our cultural properties and (with them also) our history and identity. This paper is focused on the use of the open-source Google Earth Engine tool herein used to analyze flood and fire events which affected the area of Metaponto (southern Italy), near the homonymous Greek-Roman archaeological site. The use of the Google Earth Engine has allowed the supervised and unsupervised classification of areas affected by flooding (2013–2020) and fire (2017) in the past years, obtaining remarkable results and useful information for setting up strategies to mitigate damage and support the preservation of areas and landscape rich in cultural and natural heritage