Archaeological Prospection最新文献

The Saoura region, a renowned oasis in North Africa with heritage and archaeological significance of both national and universal importance, has witnessed a gradual deterioration over time. This research involves archaeological predictive modelling, aiming to create models capable of predicting the likelihood of discovering archaeological sites, cultural resources or evidence of past landscape use within a specific region. The study specifically focuses on predicting the locations of historical sites in the Sahara Desert, employing the maximum entropy (MaxEnt) model and six geo-environmental criteria, including slope, elevation (digital elevation model [DEM]), distance from water, normalized difference vegetation index (NDVI), fertility and proximity to palm groves. The research is based on data from 58 historical sites and includes an assessment of the model's accuracy. The study highlights the remarkable significance of the fertility variable, which accounts for 94.1% of the predictive influence, making it the most crucial geo-environmental factor in forecasting the location of historical sites in the Sahara. This underscores its pivotal role in shaping settlement patterns and subsistence strategies within the region, followed by the distance variable from the palm cove (3.2%) and the distance variable from the river (2.3%). The MaxEnt model proves to be suitable for predicting historical site positions, with an impressive average area under the ROC curve (AUC) score of 0.859, reflecting its effectiveness. Notably, areas with a high prediction probability are predominantly situated near the Saoura Valley. The study's findings hold the potential to assist planners in safeguarding archaeological sites by avoiding areas where historical sites are likely to be present.

Within the framework of an Armenian–German research project, taking place between 2019 and 2021 on the Artanish Peninsula at Lake Sevan (Armenia), in addition to numerous (geo-) archaeological investigations, methods of geochemical prospection have been carried out. The ancient burial grounds of Artanish 23 and Artanish 29 have served as model sites to successfully test the well-known method of geochemical prospection and evaluation of metal deposits in geology (mineral sector). As a result, a new experimental archaeo-geochemical prospecting and evaluation method has been developed, which has been adapted for the exploration of archaeological monuments. It is planned to use this experimental method (which we consider new and important in archaeogeochemical investigation, but not a conclusive and comprehensive work per se), which has already proven its work capacity, in archaeological research, in the prospective areas of Armenia and other countries. In addition to these investigations, research on the transformations in the landscape of the ancient tombs related to Lake Sevan fluctuations has also been carried out. The anthropogenic impact of humans on the environment (geochemical halos formed in the soil on the surface of the tombs) has been studied, as well as the problem of the impact of geological environment on human life activities, that is, the relocation of the burial grounds to more elevated areas due to the rise in the lake level. Based on the results of geochemical sampling and high-resolution magnetometer surveys, excavations have been performed at the site. Here, we present the results of an experimental study exploring the potential of combined magnetometer prospection and chemical soil analyses to locate and characterize the burial ground of Artanish on Lake Sevan, Armenia. The results have demonstrated the capability of these analyses to detect the sites, outline hotspots and interpret the features identified in the magnetometer results.

LiDAR has become fairly integrated into archaeological practice at a global scale. This has gradually evolved to include UAV LiDAR. Nevertheless, considerable biases remain, including with regard to geographical regions, chronological periods, feature types and environments. At present, few studies of coastal environments exist, despite the fact that LiDAR—and UAV LiDAR in particular—has the obvious advantages of flexibility and time efficiency in such archaeologically rich but logistically challenging environments. In this paper, we compare the results of UAV LiDAR surveys with records from previous ground surveys in two case studies from coastal environments on opposite sides of the globe. Case Study I of shell middens located within approximately 3 km² around Cambaceres Bay involved the first collection of LiDAR data from Tierra del Fuego, Argentina. Case Study II covered approximately 3 km² of the island of Vega, Northern Norway, and is among the pioneering LiDAR studies of Mesolithic house pits. The detection success rate was fairly good for Cambaceres—69% of 1240 recorded structures were identified on LiDAR—and above expected for Vega, with 81% of 51 recorded house pits identified on LiDAR. In Cambaceres, the main challenges were dense and low vegetation and identifying small middens. Possible new identifications of archaeological features were made in both areas: subtle depressions interpreted as dwelling foundations in Cambaceres and house pits on Vega. We conclude that UAV LiDAR can contribute to coastal archaeology and that it has added values besides making new identifications, being both flexible and time efficient. An example pertains to the possible identification of a practice that has not previously been proved archaeologically in Tierra del Fuego—more thorough site preparation prior to the construction of the dwellings—which in turn raises new questions.