In the summer of 2022, Tulane University, in collaboration with archaeologists from other institutions, began excavations at the site of Pompeii. The archaeological work was focused on Insula 14 of Region 1, located in the southeastern sector of the site. To overcome the challenges of recording a complex urban excavation, and of working with a collaborative team, we designed and implemented a unique workflow that combines paperless and 3D data-capture methods through the use of GIS technologies. The final product of our documentation workflow was a robust and easy-to-use online geodatabase where archaeologists can revisit, explore, visualize, and analyze each excavated context using virtual tools. We present our workflow for digitally documenting observational and spatial data in the field, and how we made these data available to project archaeologists during and after the field season. First, we describe the development of digital forms in ESRI's Survey123. Then, we explain our procedures for 3D documentation through SfM photogrammetric methods and discuss how we integrated the data and transformed it into an accessible format by using interactive dashboards and online 3D web scenes. Finally, we discuss the components of our workflow that are broadly applicable and that can easily be adapted to other projects.

Archaeology is increasingly employing remote sensing techniques such as airborne lidar (light detection and ranging), terrestrial laser scanning (TLS), and photogrammetry in tropical environments where dense vegetation hinders to a great extent the ability to understand the scope of ancient landscape modification. These technologies have enabled archaeologists to develop sophisticated analyses that overturn traditional misconceptions of tropical ecologies and the human groups that have inhabited them in the long term. This article presents new data on the Sierra Nevada de Santa Marta in northern Colombia that reveals the extent to which its ancient societies transformed this landscape, which is frequently thought of as pristine. By recursively integrating remote sensing and archaeology, this study contributes to interdisciplinary scholarship examining ancient land use and occupation in densely forested contexts.

In the last decade, archaeologists have been using human-occupied interactive digital built environments to investigate human agency, settlement, and behavior. To document this evidence, we provide here one method of conducting drone-based photogrammetry and GIS mapping from within these digital spaces based on well-established methods conducted in physical landscapes. Mapping is an integral part of archaeology in the natural world, but it has largely eluded researchers in these new, populated digital landscapes. We hope that our proposed method helps to resolve this issue. We argue that employing archaeological methods in digital environments provides a successful methodological framework to investigate human agency in digital spaces for anthropological purposes and has the potential for extrapolating data from human-digital landscape interactions and applying them to their natural analogues.

At Tell Yunatsite, a prehistoric settlement mound located in the Upper Thracian plain of Bulgaria, stratigraphic relationships between archaeological deposits are incredibly complex. Such complexity then prompted our exploration into developing a new methodology for the documentation of complex stratigraphic relationships. Here, we present the results of a new photogrammetry-assisted methodology that was developed to compensate for the shortcomings of currently utilized stratigraphic documentation methods, such as the Wheeler-Kenyon box grid and the Harris Matrix. First, using a UAV drone, we produce a high-resolution photogrammetric model of the entire site. Second, with structure from motion photogrammetry, we produce 2.5D models of excavation units in stratigraphic succession. Finally, utilizing GIS and Blender (a 3D computer graphics software application), we digitize the horizontal extents of each archaeological deposit and “fill” the space between their successive surfaces (from top to bottom) until a faithful 3D model of each deposit is generated. These deposit models are then combined and rendered simultaneously to form 3D block models of the excavation units that may, in turn, be cross-sectioned in any direction to view stratigraphic relationships in virtual profile.

Full-coverage pedestrian survey to record cultural features on unexplored archaeological landscapes is costly in terms of time, money, and personnel. Over the past two decades, researchers have implemented remote sensing and landscape data collection techniques using unmanned aerial vehicles (UAVs) to combat some of these burdens, but the initial cost of equipment, software, and processing power has hindered the ubiquitous implementation of UAV technology as an accessible companion tool to traditional archaeological survey. This article presents a free and open-source, technology-independent analytical framework for the collection and processing of UAV images to produce high-resolution digital terrain models limited only by the equipment available to the researcher. Results from the free and open-source protocol are directly compared to those produced using proprietary software to illustrate the capabilities of freely available data processing tools for UAV-collected images. By replicating the methods outlined here, researchers should be able to identify and target areas of interest to increase fieldwork efficiency, decrease costs of implementing this technology, and produce high-resolution digital terrain models to conduct spatial analyses that pursue a deeper understanding of cultural landscapes.

This article shows how to record current events from an archaeological perspective. With a case study from the COVID-19 pandemic in Norway, we provide accessible tools to document broad spatial and behavioral patterns through material culture as they emerge. Stressing the importance of ethical engagement with contemporary subjects, we adapt archaeological field methods—including geolocation, photography, and three-dimensional modeling—to analyze the changing relationships between materiality and human sociality through the crisis. Integrating data from four contributors, we suggest that this workflow may engage broader publics as anthropological data collectors to describe unexpected social phenomena. Contemporary archaeological perspectives, deployed in rapid response, provide alternative readings on the development of current events. In the presented case, we suggest that local ways of coping with the pandemic may be overshadowed by the materiality of large-scale corporate and state response.

El presente artículo presenta una revisión de los hallazgos hechos en el sitio de Tingambato, en el centro sur de Michoacán, México, a la luz de los últimos trabajos realizados en los pasados siete años, haciendo uso de tecnologías recientes. En este trabajo se hace un estudio completo de la arquitectura, los materiales y especialmente los fechamientos que nos permiten finalmente poder establecer la ocupación de este importante sitio arqueológico durante los primeros 900 años de nuestra era. Finalmente se presenta un estudio apoyado en el uso de reconstrucciones virtuales, trabajos fotogramétricos y lidar de los contextos de dos impresionantes tumbas halladas en el sitio arqueológico, que nos permiten entender de mejor manera las costumbres funerarias de los sectores de élite de este grupo.

The three-dimensional (3D) revolution promised to transform archaeological practice. Of the technologies that contribute to the proliferation of 3D data, photogrammetry facilitates the rapid and inexpensive digitization of complex subjects in both field and lab settings. It finds additional use as a tool for public outreach, where it engages audiences ranging from source communities to artifact collectors. But what has photogrammetry's function been in advancing archaeological analysis? Drawing on our previous work, we review recent applications to understand the role of photogrammetry for contemporary archaeologists. Although photogrammetry is widely used as a visual aid, its analytical potential remains underdeveloped. Considering various scales of inquiry—graduating from objects to landscapes—we address how the technology fits within and expands existing documentation and data visualization routines, while evaluating the opportunity it presents for addressing archaeological questions and problems in innovative ways. We advance an agenda advocating that archaeologists move from proof-of-concept papers toward greater integration of photogrammetry with research.

Archaeologists have a responsibility to use their research to engage people and provide opportunities for the public to interact with cultural heritage and interpret it on their own terms. This can be done through hypermedia and deep mapping as approaches to public archaeology. In twenty-first-century archaeology, scholars can rely on vastly improved technologies to aid them in these efforts toward public engagement, including digital photography, geographic information systems, and three-dimensional models. These technologies, even when collected for analysis or documentation, can be valuable tools for educating and involving the public with archaeological methods and how these methods help archaeologists learn about the past. Ultimately, academic storytelling can benefit from making archaeological results and methods accessible and engaging for stakeholders and the general public. ArcGIS StoryMaps is an effective tool for integrating digital datasets into an accessible framework that is suitable for interactive public engagement. This article describes the benefits of using ArcGIS StoryMaps for hypermedia and deep mapping–based public engagement using the story of copper production in Iron Age Faynan, Jordan, as a case study.

In the past decade, archaeologists have increasingly made use of photogrammetry, the process of creating 3D models from photographs, in a variety of field and lab settings. We argue that we must, as a discipline, develop a consistent methodology to ensure that 3D models are held to a consistent standard, including not only photographic protocol but also the documentation of model accuracy using an agreed-upon measure. To help develop this discussion, we present our system for incorporating photogrammetry into the documentation of architecture. This technique was developed at the site of Nim Li Punit, Belize, in 2018. Excavating architecture involves documenting the pre-excavated building, liberating overburden, documenting all in situ construction (including wall fall, fill stones, and standing architecture), drawing consolidated architecture, and documenting the final state of the post-excavated buildings. The generation of 3D models greatly assisted in all facets of the excavation, documentation, analysis, and consolidation processes. To ensure that our models were accurate, we documented the reprojection error and final model horizontal distortion to assess the quality of the model. We suggest that documenting both forms of error should become standard practice in any discussion of archaeological applications of photogrammetry.

Advanced 2-D and 3-D computer visualizations are increasingly being used for recording and documentation, analysis, dissemination, and public engagement purposes. Recent technological advances not only considerably improve data acquisition, processing, and analysis but also enable easy and efficient online presentation. This article evaluates the contributions of advanced 2-D and 3-D computer visualization and discusses the potential of 3-D modeling for recording basketry technology and documenting the state of preservation of baskets. It explores the available analysis, integration, and online dissemination tools, using as case studies recently excavated baskets from Cache Cave in southern California. Results indicate that the proposed methodology, which incorporates reflectance transformation imaging visualizations and photogrammetric 3-D models, which are further processed using 3-D modeling software and integrated analysis tools and then transformed to a Web-based format, is a useful addition to the basketry analysis toolkit.

The articles in this issue present bioarchaeological case studies from across the globe, including North and Central America, East Asia, Europe, and the Near East. Some bioarchaeology projects are new and others are decades old, but common challenges emerge as researchers apply conservation standards to real situations in the field: a lack of training or resources for long-term curation of human remains, the lag between excavation and analysis of remains, and environmental challenges that include melting permafrost, tropical storms, and a variety of pests such as molds, fungi, bats, snakes, and insects. The studies also address ethical considerations about the use of digital images of human remains, molecular and isotopic methods that require the destruction of human tissue samples, the ability of fast-paced cultural resource management (CRM) projects to address the needs of descendant communities, and the responsibility that we have to the people we study. Techniques for addressing these challenges include new computer programs, more advanced photographic software, and research on the effects of conservation techniques that provide new “standards” for bioarchaeologists. We highlight the importance of each contribution and discuss the future of conservation in bioarchaeology.

Human skeletal remains hold a wealth of information about past life-ways, but their documentation and recovery from archaeological contexts is challenging. Four challenges face bioarchaeological field work: poor skeletal preservation; complex mortuary traditions; sub-par excavation conditions; and excavation time limits. Poor preservation often prevents the collection of metric data from skeletons. This project tested whether a bioarchaeologist with basic photography skills and excavation equipment could address these challenges using photogrammetry. Photogrammetry was employed at the ancient Maya sites of Say Kah and Chan Chich, both located in northern Belize, to document human skeletal remains and their archaeological contexts. Steps are provided for implementing photogrammetry in the field, as well as addressing challenges for using the technique during burial documentation. This project produced only one adequate 3-D model and no metric data could be collected. Overall, photogrammetry seems to be a promising method for bioarchaeological research because it is low-cost, effective, and fairly straightforward to learn. The technique was faster than traditional line drawing, but sub-par excavation conditions and dark, small spaces hindered the creation of useful models. Photogrammetry provides an excellent alternative to traditional documentation addressing the challenges of poor skeletal preservation and holding potential for unraveling complex mortuary traditions.

The creation of digital repositories of human skeletal remains offers bioarchaeologists a variety of potential means of aiding efforts related to curation and analysis. We present a discussion of how issues of preservation and access can affect research and argue that digital repositories not only maintain a record of objects but that the digital format allows researchers to expand their studies to include otherwise inaccessible collections. Digital models can be utilized by bioarchaeologists to collect and analyze a wide variety of quantitative and qualitative data. We review several digital capture methods employed by bioarchaeologists, including CT scanning, laser scanning, and photogrammetry. While photogrammetry is underutilized by bioarchaeologists, we point out its many advantages over other methods.