Recent years have seen the rapid expansion of airborne and spaceborne remote-sensing products adopted by archaeologists for interpreting ancient landscapes and managing heritage resources. A growing and increasingly specialized literature attests to the promise and availability of commercial and publicly funded satellite imagery, as well as UAV-mounted sensors across a range of resolutions and price points. In the South Caucasus (including the countries of Armenia, Azerbaijan, and Georgia), a growing commitment to landscape approaches in archaeology is stimulating the adoption of satellite remote sensing as an important new tool for identifying and managing archaeological resources while tracing the impact of historic land-use alterations in survey areas. Nevertheless, budgetary challenges and a lack of training opportunities among international partners and heritage organizations outside of the funding streams of large academic institutions can lead to widening technological gulfs in the discipline that reinforce colonial relationships. Building on recent technical articles covering specific imagery datasets, this article aims to address this by providing a general review of free or low-cost remotely sensed datasets available to archaeologists, with the aim of broadening awareness of these important tools and their vocabularies, and illustrating them with recent published examples from the South Caucasus.

This article explores the use of specially trained canines to detect the location of human burials in nonmodern archaeological contexts. It discusses the history of the discipline, training and field methods, the importance of developing a working relationship with descendant communities, project examples, an assessment of canine detection effectiveness, and ways to select a canine detection team. The article highlights how the application of canine detection training and protocols to the archaeological record makes it possible to locate potential precontact Native American burial areas without ground disturbance. In some cases, probable burial areas located by canines can be confidentially mapped to ensure avoidance during upcoming construction projects. For a variety of reasons, many Native American communities have been wary of embracing this new method to locate ancestral burials. Today, however, canine detection is widely accepted by many tribal groups in California to locate ancestral burials that might be impacted by construction. Although additional controlled studies and rigorous field laboratory experiments are needed to understand the range of variation in efficacy fully, available results in both North America and Europe demonstrate that specially trained canines can often accurately locate human burials that are more than a thousand years old to within a few meters.

This article presents results of a multi-sensor drone survey at an ancestral Wichita archaeological site in southeastern Kansas, originally recorded in the 1930s and believed by some scholars to be the location of historical “Etzanoa,” a major settlement reportedly encountered by Spanish conquistador Juan de Oñate in 1601. We used high-resolution, drone-acquired thermal and multispectral (color and near-infrared) imagery, alongside publicly available lidar data and satellite imagery, to prospect for archaeological features across a relatively undisturbed 18 ha area of the site. Results reveal a feature that is best interpreted as the remains of a large, circular earthwork, similar to so-called council circles documented at five other contemporary sites of the Great Bend aspect cultural assemblage. We also located several features that may be remains of house basins, the size and configuration of which conform with historical evidence. These findings point to major investment in the construction of large-scale ritual, elite, or defensive structures, lending support to the interpretation of the cluster of Great Bend aspect sites in the lower Walnut River as a single, sprawling population center, as well as demonstrating the potential for thermal and multispectral surveys to reveal archaeological landscape features in the Great Plains and beyond.

Satellite imagery has long been recognized as well suited for the regional and ecological questions of many archaeological surveys. One underexplored aspect of such data is their temporal resolution. It is now possible for areas to be imaged on an almost daily basis, and this resolution offers new opportunities for studying landscapes through remote sensing in parallel with ground-based survey. This article explores the applications of these data for visibility assessment and land-cover change detection in the context of the Sinis Archaeological Project, a regional archaeological survey of west-central Sardinia. We employ imagery provided by Planet, which has a spatial resolution of 3 m, in four spectral bands, and is collected daily. Using Normalized Difference Vegetation Index (NDVI) values calculated for each survey unit, we find that there is a relationship between NDVI values and field-reported visibility in general, though the strength of this correlation differs according to land-cover classes. We also find the data to be effective at tracking short-term changes in field conditions that allow us to differentiate fields of similar land cover and visibility. We consider limitations and potentials of these data and encourage further experimentation and development.