Archaeological site management goals, when informed by the input of traditional communities, can result in very different outcomes than standard cultural resource investigation strategies. A case example is presented for a large site in Albuquerque, New Mexico, containing material from the Francisco Vázquez de Coronado expedition. From 1540 to 1542, Coronado led one of the largest and most well-known explorations of the American southwest. The expedition spent much time in the Rio Grande Valley near present-day Albuquerque, including the site of Piedras Marcadas Pueblo. Formal consultations between local tribes and the City of Albuquerque in the 1990s generated a research program using geophysics and non-invasive techniques. Geophysical investigation produced results that would not have been obtained without tribal consultation to guide the research from an early point. By combining architectural data found by resistivity surveys with artifact distributions found by metal detection, details of a battle between Coronado’s expedition and puebloan people have emerged. Ongoing tribal consultation has shed light on the events that occurred at Piedras Marcadas and continues to inform interpretation and site management decisions. Resulting cooperation between traditional communities and the City of Albuquerque is a case study in the ever-important practices of co-creation and collaborative archaeology.

Stone anchors comprise a significant portion of observable underwater cultural heritage in the Mediterranean and provide evidence for trade networks as early as the Bronze Age. Full documentation of these anchors, however, often requires their removal from their underwater environment, especially to calculate mass. We offer a methodology for using photogrammetry to record stone anchors still in situ and calculate their approximate mass. We compare measurements derived using measuring tapes with those derived using two different software programs for photogrammetric analysis, PhotoModeler Scanner (Eos Systems, Inc.) and PhotoScan Pro (Agisoft). First, we analyze stone anchors that had previously been removed from the underwater environment to establish a reference methodology. Next, we implement this methodology in an underwater survey off the southern coastline of Cyprus. Linear measurements for both programs correlate closely with those attained via measuring tape. The resulting estimates of volume of anchors in situ and on land are slightly greater using the photogrammetric methodology than the reference volumes obtained using a water displacement methodology. Overall, as an analytical tool, this methodology generates detailed surface information in minimal time underwater and preserves data for future analysis without necessitating the removal of the anchor from its underwater environment.

Archaeologists studying shell assemblages from prehistoric sites along the Pacific coast of North America have been interested in the influences of collecting intensity and environmental variability on California mussel (Mytilus californianus) size. To determine the variation in mussel size within a shell assemblage, researchers have developed a variety of proxies of mussel valve length based on measurements of morphological features occurring at or near the valve’s umbo. We propose four additional measurements that can serve as proxies and evaluate their correlation with valve length using regression analysis. Of the four, anterior adductor scar length has the strongest correlation, and we present two examples of its application. We also evaluate a popular visual technique based on a set of outline drawings of valves of varying lengths, and we found that it systematically underestimated valve length but could be useful under certain circumstances. We conclude that the selection of a particular proxy of mussel valve length depends on the nature of the mussel shell assemblage being studied and the research context.

Evaluating the archaeological potential of wooded areas is often difficult because many of the techniques archaeologists commonly use to locate and map archaeological sites elsewhere are less effective in the trees. Ground cover hinders the visual identification of surface artifacts during pedestrian survey, and the tree canopy impedes many of the techniques used to map areas of interest, such as optical theodolites and DGPS. Shovel test pitting, which disturbs the integrity of sites and provides limited contextual information, is the most common method used to evaluate woodlots today. In light of increasing interest from Indigenous peoples in limiting the impact of archaeological work on their cultural heritage, we are testing less invasive methods to locate and map archaeological sites within wooded areas. Here, we present the results of a magnetic susceptibility survey on a wooded precontact site in southern Quebec, where the technique rapidly determined site limits and pinpointed the location of several longhouses and other features. Where geological conditions are suitable, this method could considerably reduce the cost and impact of archaeological assessment and investigation of wooded sites by both cultural resource management (CRM) and academic archaeologists.

Identifying previously unknown sites is a fundamental goal of the archaeological inquiry. In this article, after reporting the results of our work at Tel ‘Eton (Israel), we propose a new method that can increase the effectiveness of surveys. As part of a study of site formation processes, molehills (mole-rat back-dirt hills) were systematically sifted at Tel ‘Eton and its surroundings. It was apparent that the number and size of sherds in molehills on the mound greatly exceeded those found in its surroundings. The incidental identification of many sherds in molehills northwest of the mound, therefore, led us to suspect that this area was settled. This was tested by transecting the area. The finds, along with discoveries in the wadis cutting the plain, support this suggestion and allowed us to detect the lower city’s boundary. An examination of the site’s environments, moreover, enabled us to identify additional anomalies, like the co-occurrence of concentrations of sherds, red-soiled molehills, and slags, which might indicate an extra-mural workshop. Consequently, we suggest that a systematic examination of rodents’ back-dirt mounds can be an effective method—faster, cheaper, and more efficient than pedestrian surveys or shovel tests—of discovering unknown sites even in regions with good visibility.

Three-dimensional (3D) artifact modeling is becoming an increasingly utilized tool in archaeology. In comparison with other methods of 3D scanning, photogrammetry has the benefits of being relatively inexpensive, mobile, and more adaptable for use in field conditions. As part of a larger project to document variability in lithic production systems across the Middle to Upper Paleolithic Transition in Western Europe, we developed a photography rig for the express purpose of systematically capturing images for the creation of 3D photogrammetric models. This low-cost rig greatly streamlines both the photo-taking and post-processing stages of model creation. Additional tips relating to the coating of difficult-to-capture objects with a mineral spray are also provided. Three-dimensional models of lithic cores from the Châtelperronian, Protoaurignacian, and Early Aurignacian levels of the site of Les Cottés (France) are presented as examples of the quality of model that can be produced using this system.

This paper examines the potential of remote sensing–derived metrics of vegetation phenology and a Multi-Layer Perceptron neural network to model the most likely locations of large, agglomerated archaeological sites. Focusing on two different environments in central New Mexico, the Galisteo Basin and the Sandia-Manzano Mountain range, this pilot study distinguishes between archaeological sites and their surroundings based on differential growth in vegetation. Using data derived from Landsat Thematic Mapper, a time series of Normalized Difference Vegetation Indices were created to characterize vegetation phenology in the study areas. Distinguishing between archaeological sites and their surroundings, the neural network was trained on a series of known sites to develop an output activation layer indicating the possible locations of other, previously unknown sites. This output activation layer, treated as a site suitability model, was validated using the receiver operating characteristic area under the curve using known sites excluded from the training procedure. Results show promise in large, open areas such as basin environments. While differences in vegetation type have relatively little effect, differences in elevation, or more directly the changes in phenology that go along with them, negatively impact the ability to infer the presence of archaeological sites using this approach.