While a long history of experimental data shows that aerial thermal images can reveal a wide range of both surface and subsurface archaeological features, technological hurdles have largely prevented more widespread use of this promising prospecting method. However, recent advances in the sophistication of thermal cameras, the reliability of commercial drones, and the growing power of photogrammetric software packages are revolutionizing archaeologists' ability to collect, process, and analyze aerial thermal imagery. This paper provides an overview of the theory behind aerial thermography in archaeology, as well as a discussion of an emerging set of methods developed by the authors for undertaking successful surveys. Summarizing investigations at archaeological sites in North America, the Mediterranean, and the Near East, our results illustrate some contexts in which aerial thermography is very effective, as well as cases in which ground cover, soil composition, or the depth and character of archaeological features present challenges. In addition, we highlight novel approaches for filtering out noise caused by vegetation, as well as methods for improving feature visibility using radiometric thermal imagery.

This paper introduces a new freeware digital system, based on Google/Android platforms, designed to be a fully integrated and customizable solution to record, manage, and share archaeological survey data. The core of the system is two custom smartphone/tablet applications, through which surveyors are able to retrieve geographical coordinates and relevant attribute data from archaeological locations, but also to perform onsite analysis of artifacts, including taking accurate measurements with digital calipers directly connected to the mobile devices. The system saves all data recovered in the devices' internal memory, as well as in a cloud-based spatial database (Google Fusion Tables), where data can be automatically shared and examined using a rather intuitive set of visualization tools to instantly make maps or produce exploratory charts. Using the example of a recent field survey project for Stone Age sites in Mozambique, we provide a detailed discussion of the creation and use of all hardware and software components of our solution that will allow other researchers to reproduce the methodology and customize the system to meet the needs of their own projects.

The decision as to whether or not to excavate ancient Native mortuary features will require information on their extent and nature. This raises the question of how reliably these aspects can be assessed from the initial exposure of the feature, at its uppermost undisturbed level. In three Ontario cases in which the negotiators decided on full excavation of the features, it is possible to compare the initial assessments to the excavation results. In general, the information obtained in the initial assessments was accurate enough to allow the negotiating parties to make an informed decision, and to assist the archaeologists in their interpretation of the site. However, a major problem with initial assessments is that they sometimes fail to identify features containing only disarticulated minor skeletal elements, leading to an underestimation of the scope of the situation. The solution recommended here is to have a bioarchaeologist on the excavation team to promptly identify and assess any mortuary features and, when necessary, to excavate them.

The availability of lidar datasets has led to several advances in archaeology, notably in the process of site prospection. Some remote sensing practitioners have aimed to create automated feature extraction (AFE) techniques that increase the efficiency and efficacy of identification and analysis. While these advances have been successful, many archaeological professionals who might have an interest in lidar-derived products do not have the technical experience to modify or create AFE techniques for particular regions or environments. Additionally, some features are not appropriate for AFE. Instead, the most widely used technique is still likely to be visually based manual feature identification. Using authors of different experience levels, we seek to evaluate the use of manual techniques for feature identification and subsequent analysis by implementing a publicly available lidar-derived digital elevation model (DEM). We demonstrate that manual feature extraction (MFE) can be accurate when more than one researcher is involved in a sort of “checks and balances” process. We also show that the use of confidence ratings can be an important part of this process if those ratings have some systematic and clearly defined underpinning. Finally, we argue, using a case study from American Samoa, that manually identified features can be analytically important as part of larger landscape studies.

This paper reports on the first and highly effective use of Light Detection and Ranging (lidar) technology to document Chaco roads, monumental linear surface constructions of the precolumbian culture that occupied the Four Corners region of the American Southwest between approximately AD 600 and 1300. Analysis of aerial photographs supplemented by ground survey has been the traditional methodology employed to identify Chaco roads, but their traces have become increasingly subtle and difficult to detect in recent years due to the impacts of natural weathering, erosion, and land development. Roads that were easily visible in aerial photography and on the ground in the 1980s are now virtually invisible, underscoring the need for new, cutting-edge techniques to detect and document them. Using three case studies of the Aztec Airport Mesa Road, the Great North Road, and the Pueblo Alto Landscape, we demonstrate lidar's unprecedented ability to document known Chaco roads, discover previously undetected road segments, and produce a precise quantitative record of these rapidly vanishing features.

Conducting archaeological fieldwork increasingly relies on “high-tech” instruments. These include such technologies as portable X-ray diffraction; ground penetrating radar; high-precision global navigation satellite system (GNSS) receivers; laser scanners; multispectral, thermal, lidar, and hyperspectral instruments on Uncrewed Aerial Vehicles (UAVs); and many others. Using these devices internationally can present complex issues with export regulations and the potential for duties and value-added taxes. In short, there are many regulations affecting the movement of these devices across international borders. In the past, archaeologists had interactions with customs personnel and faced the complexities of import and export laws at the end of a project, as they dealt with the issues of taking samples or artifacts out of a country for study. Today's archaeologists must be prepared before they even begin their travel to ensure that their equipment and software can travel overseas. This article provides a practical overview of the laws, regulations, and practices affecting international transport of the archaeological high-tech tool kit.

The podcast as a communicative medium continues to rise in popularity as an opportunity for individuals to express themselves in similar ways to traditional radio and television. Critically, though, the recording of a podcast does not need a full studio for production. Rather, an individual possessing a microphone, free editing software, and time can create an audio show that is then uploaded to the Internet for people to download and listen to. Although podcasts can be found via standard web searching, they are also often listed in podcast directories, such as iTunes, Sticher, Google Play, and Miro (Ortega 2015), and hence are easily discoverable through both desktop browsers and mobile apps, making it simple to subscribe to multiple shows. The iTunes store, owned by Apple, is a particularly popular directory: a podcaster must submit a special kind of link, called an RSS feed, to Apple and have it approved. An RSS feed is a dynamic link that lets anyone attached to it know when an update is made to a web page—in this case, a listing of podcasts. Once the podcast is accepted to the directory, various search engines can access it and allow people to search by name or category (chosen by the podcasters themselves).