Digital Vacone: The Upper Sabina Tiberina Project’s
Transition from 2B Pencils to 3D Mesh
MATTHEW F. NOTARIAN, Hiram College, OH, USA
GABRIELLA CARPENTIERO, Soprintendenza Archeologia, Belle Arti e Paesaggio per le
province di Siena, Grosseto e Arezzo, Italy
LUCIA MICHILIEN, University of Edinburgh, UK
TYLER FRANCONI and CANDACE RICE, Brown University, RI, USA
DYLAN BLOY, University of Tennessee, TN, USA
GARY D. FARNEY, Rutgers University-Newark, NJ, USA
Between 2016 and 2018, excavations at the Roman villa of Vacone, carried out by the Upper Sabina Tiberina
Project, transitioned to completely digital recording practices. The methodological shift was accompanied
by a three-year campaign of backfill removal and cleaning, which allowed most of the villa’s extant
architecture and décor uncovered since 2012 to be digitized. Moreover, a new documentation protocol was
established that employs photogrammetry in lieu of scale drawing to model the three-dimensional spatial
characteristics of every archaeological context. Notable artifacts were also modeled to facilitate off-site
study. The excavation’s experiences with this conversion offer valuable lessons for other long-term
archaeological projects contemplating a similar shift amid active fieldwork. The project’s digital recording
team developed a methodology for layer-by-layer modeling that ensures precise alignment between
stratigraphic contexts using fixed markers. From these, standard 2D products (orthomosaic plans and
digital elevation models [DEMs]) were produced. A similar technique was used for generating 2D
orthomosaics of vertical features (such as walls and stratigraphic sections) without the need to take
numerous measurements on the vertical surface (e.g., with a prismless total station). Similarly, the
generated data can create 2D sections along any arbitrary line even after the strata have been removed.
Beyond simply replicating traditional two-dimensional records, the 3D data have proven essential for
visualizing the interrelation of above and below ground spaces, and for analyzing a terraced structure built
on several levels. Composite 3D models, hosted online, are also an effective tool for public outreach with
stakeholders in the local community, as well as the general public.
Keywords:
Photogrammetry, 3D Modeling, Archaeological Recording, Field Methodology, Roman Archaeology.
The work of the Upper Sabina Tiberina Project has received funding from Rutgers University, the University of Edinburgh, the
University of Alberta, Hiram College, the Roman Society, and the Loeb Classical Library Foundation.
Authors’ addresses: Matthew Notarian, Department of Modern Languages and Classics, Hiram College, P.O. Box 67, Hiram, OH
44234, USA; email: mnotarian@gmail.com; Gabriella Carpentiero, Soprintendenza Archeologia Belle Arti e Paesaggio per le
province di Siena, Grosseto e Arezzo. Via di Città 138/140, 53100, Siena, Italy; email: gabriella.carpentiero@beniculturali.it; Lucia
Michielin, The University of Edinburgh, Centre for Data, Culture & Society (CDCS), 56 George Square, Edinburgh, EH8 9JU, UK;
email: lucia.michielin@ed.ac.uk; Tyler Franconi and Candace Rice, Brown University, Joukowsky Institute for Archaeology,
Rhode Island Hall, 60 George Street, Providence, RI 02912, USA; email: (tyler_franconi; candace_rice)@brown.edu; Dylan Bloy,
The University of Tennessee, Department of Classics, 1104 McClung Tower, Knoxville, TN 37996-0413, USA; email:
dbloy@utk.edu; Gary D. Farney, Rutgers University-Newark, History Department, 309 Conklin Hall, 175 University Ave, Newark,
NJ 07102, USA, email: gfarney@rutgers.edu
© 2020 by the authors; licensee Studies in Digital Heritage, IU, Bloomington (IN), USA. This article is an open access article
distributed under the terms and conditions of the Creative Commons Attribution License (CC BY-NC)
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SDH Reference:
Matthew Notarian et al. 2020. Digital Vacone: The Upper Sabina Tiberina Project’s Transition from
2B Pencils to 3D Mesh. SDH, 4, 2, 108-133.
https://doi.org/10.14434/sdh.v4i2.31052
1.
INTRODUCTION
Over the course of the last decade, photogrammetry has become a standard instrument in the
archaeologist’s toolkit, driving a veritable revolution in field recording methodology [e.g., De Reu 2014;
Roosevelt et al. 2015; Opitz 2015; Willis et al. 2016; Koenig et al. 2017; Garstki et al. 2018; Taylor et al.
2018; Garstki 2020]. Rapid advancements in software based upon the Structure from Motion and Multi
View Stereo techniques have made the process progressively automated and cost-effective, while
more user-friendly interfaces allow non-specialist practitioners with minimal training and expertise
to take advantage of its many benefits. Concurrently, more efficient algorithms and constantly
advancing hardware have cut down on processing times even on thin and light laptops suitable for
use in the field. The latest generation of photogrammetry software is also increasingly foolproof,
reliable, and easy to use. This limits the need for projects to invest in professional photographers,
expensive cameras or photographic equipment, or even to commit precious time towards mitigating
shadows or other lighting issues, and still achieve quality results. Consequently, archaeological
recording practices have seen significant progress in quality and efficiency [Sapirstein 2016]. Many
projects are now generating gigabytes of accurate, three-dimensional data each season, along with
their associated two-dimensional rasters, orthomosaic images and digital elevation models (DEMs),
which can be integrated with existing GIS projects.
Nevertheless, the pace of change in field recording practices has been uneven. Long-standing
projects with entrenched methodologies might be reluctant to alter procedures. Old and new
methods are sometimes practiced concurrently until confidence is gained with digital
methodologies, leading to a doubling of labor, rather than an increase in efficiency. Questions may
linger about how to incorporate new digital data with legacy records, or how to deal with a significant
backlog of earlier-excavated remains, and how such mismatched records might affect publications.
Plans must also be made to address the long-term stability and accessibility of digital records in
comparison to their analog predecessors, and comprehensive publications with 3D data are still rare
[e.g. Opitz et al. 2016; Counts et al. 2020]. In addition, photogrammetric methodologies in archaeology
are far from standardized, unlike those for measured scale drawings, and exhortatory calls for best
practices are progressively growing [e.g., Barnes 2011; Sapirstein and Murray 2017; Borrero and Stroth
2020]. This paper details how one project navigated some of these concerns in order to provide a
roadmap for similar excavations contemplating such a change amid active fieldwork.
The excavations of the Roman villa at Vacone, carried out by the “Upper Sabina Tiberina Project”
(USTP), implemented photogrammetry as a systematic field recording technique during the 2016
season. We decided to test the applicability of photogrammetry initially on the villa’s architecture
and associated in situ mosaics and wall plaster. These could be recorded digitally, multiple times if
necessary, without the potential risk of data loss were we to begin with ephemeral features such as
stratigraphic units. After establishing the suitability, effectiveness, and accuracy of the
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photogrammetric process, the project implemented a fully digital recording protocol that replaced
measured scale drawings of stratigraphic units during the 2017 season. Since that time, 3D models
have also formed a powerful visualization tool for analysis of the villa’s architecture, especially for
interpreting the relationship of above- and below-ground spaces as well as stratigraphy. Moreover, a
selection of small finds have been digitized to facilitate their study during the off season.
2. THE ROMAN VILLA AT VACONE
The Upper Sabina Tiberina Project, in operation since 2011, is a collaboration between Rutgers
University and the Joukowsky Institute for Archaeology and the Ancient World of Brown University
(formerly with the University of Alberta, 2017-2019, and the University of Edinburgh, 2015-2017)
[https://ustproject.org; Bloy et al. 2014, 2016; Rice et al. 2017; Pollari et al. 2018; Franconi et al. 2019;]. Its
objective is to understand the long-term development of rural settlement and economy in the
northern portion of the Sabina Tiberina region of Lazio, located about 55 km north of Rome between
the Tiber river on the west and the Monti Sabini on the east (Fig. 1). The project has conducted survey
and geophysical prospection at 15 sites within a study area that is roughly equivalent to the territory
of the ancient settlement of Forum Novum (modern Vescovio). Most effort, however, has been
focused upon the excavation of a late-republican to mid-imperial villa located in the town of Vacone,
which has been carried out for eight consecutive seasons.
Figure 1. Map of the Upper Sabina Tiberina indicating the location of the Vacone villa (in red) and a selection of
other neighboring villas.
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The villa was built upon a large concrete vaulted terrace facing the valley of the seasonal stream
(torrente) Aia (also called Imella), on the southeastern slopes of Monte Cosce. Known colloquially,
though without proof, as Horace’s villa, its remains have been known to humanists and antiquarians
since at least the 15th century, though were later overlooked [Notarian et al. 2016]. The villa was
rediscovered during road construction in the 1970s and subsequently restored and minimally
excavated by the Soprintendenza per i Beni Archeologici del Lazio in the 1980s [Alvino 2009]. After
brief geophysical prospection in 2011, the USTP began full archaeological exploration in 2012.
Figure 2. Orthomosaic plan of the Vacone villa in the imperial era, as of the 2018 excavation season.
The excavations have revealed a substantial villa (Fig. 2), 62 by 42 meters in size, with some 50 rooms
identified as of 2018, organized around a central peristyle with 5 by 5 colonnade (room 29 on the plan).
The main residential zone of the villa was built upon an artificial terrace buttressed by an L-shaped
cryptoporticus in opus incertum, 43 meters long on the south, and 21 meters on the east, dating to
the second half of the 2nd century BCE. The cryptoporticoes supported two colonnaded porticoes with
probably 6 columns along the east (Room 37) and 12 along the south (Room 2). At the rear of the villa
another vaulted opus incertum structure (Rooms 22 and 17), probably a cistern, buttressed a higher
terrace that supported the productive sector of the villa with at least four olive presses and three
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settling tanks. All but one of these presses were converted into treading platforms for grapes,
probably in the early 2nd century CE. The villa’s opulent decor testifies to the fact that the owner was
quite wealthy. Its western sector contained a bath complex, only discovered in 2018. Moreover, the
project has excavated over 30 mosaic pavements to date, about half of which are polychrome, and
many walls were decorated with colored frescos, molded stucco, and even some marble revetment
[e.g., Rice et al. 2017; Pollari et al. 2018]. It underwent at least two phases of redevelopment throughout
its lifetime: one during the late-Augustan or early-Tiberian era (to which the vast majority of the
extant rooms, mosaics, and frescos belong), and another in the early 2nd century CE. The villa was
abandoned around 200 CE or shortly thereafter, probably due to structural problems perhaps
stemming from an earthquake. The site, however, remained in use almost immediately following its
structural collapse in the early 3rd century, as evidenced by burials, sporadic pottery finds, and two
overlying ovens built near the former productive zone. Through 2018, five human burials radiocarbon
dated to the 7th century CE, testify to a significant, though yet little understood, Lombard-era reuse.
Intermittent finds from the post-Lombard era indicate limited activity within the southern
cryptoporticus between the 11th and 14th centuries. Finally, the terrace was redeveloped for a vineyard
in the 16th century as shown by long agricultural trenches dug through the imperial era rooms of the
villa across the site, which coincide with the villa’s reference in antiquarian sources between the 15th
and 18th centuries.
3. DIGITAL RECORDING TRANSITION
In the first years of the USTP, between 2012 and 2015, the excavation employed mostly analog (paperbased) documentation methods. Trench supervisors logged paper forms with informal sketches of
context plans. All stratigraphic contexts were recorded with digital photography using a photo board,
north arrow and scale bar. A total station was used to record elevations, the locations of small finds,
and basic site planning for the GIS. Measured scale pencil drawings (plans and sections) were done
at the end of the season to record the final state of excavated trenches, or for particularly noteworthy
features such as burials. Photographs were also taken again to record the final state of excavation
trenches. Since the USTP operates as a field school, contextual drawing was taught as part of the
educational process. While this is a critical skill for students to learn, the process is slow and requires
heavy oversight from trench supervisors. The addition of photogrammetric documentation allowed
for accurate and efficient recording without compromising the educational process.
Software, Hardware, Equipment, and Methods
Beginning in 2014, the project incorporated very limited photogrammetric documentation of
standing architecture such as the above-ground cryptoporticus at the northern end of the site.
Photogrammetry promised a much quicker, accurate, and state-of-the-art methodology for preparing
publication-quality imagery, especially for mosaics, but integrating photogrammetry more fully
required additional expertise in digital recording and new computing equipment and software. In
2016, the project invested in the incorporation of systematic photogrammetry into our field recording
techniques. We brought on board additional staff members to form a “digital team” (see
acknowledgments). An educational license for Agisoft Photoscan (now Metashape), a proprietary
software, but arguably the most widespread photogrammetry application thanks to its ease of use,
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and a laptop capable of running Photoscan were provided by the University of Edinburgh. Grants
from Hiram College and the University of Alberta provided the funds for additional computers and
software licenses. The relative low cost of photogrammetry, especially in comparison to other forms
of 3D recording technology such as laser scanners, is one of its prime attractions. A full educational
license of Metashape professional edition currently costs $549 while a laptop with a dedicated video
card, multi-core CPU and at least 16 GB of RAM can be obtained for less than $1500 [for current
hardware requirements, see https://www.agisoft.com/downloads/system-requirements/]. In terms
of photographic needs, most standard digital cameras are adequate, although a camera with a fullframe CMOS sensor will deliver the highest quality results. Thankfully the USTP already owned a
22.3 megapixel full-frame dSLR camera (Canon EOS 5D Mark III), as well as a total station (TOPCON
GTS-310 with Omni Prism), which is needed for georeferencing the 3D models. Finally, a crucial need
is an adequate supply of digital storage since both the volume of high-quality photographs produced
for photogrammetry (especially if shooting in RAW) as well as the size of the 3D models themselves
are quite demanding. Moreover, no project can afford to lack adequate backups of data, so multiple
external drives with several available terabytes are an absolute necessity.
The learning curve for using Metashape to produce 3D models is low, largely thanks to its simple,
user-friendly interface and improvements in the Structure from Motion algorithms. Numerous
tutorials are available on Agisoft’s webpage and other online sources such as the nonprofit Cultural
Heritage Imaging [Cultural Heritage Imaging 2020], which also offers guidance on proper
photography for photogrammetry. Nonetheless, quality models can even be produced under lessthan-optimal conditions, such as uneven lighting, blurry photographs, unstable lens focal distance,
and the like, which are sometimes encountered in field archaeology. Beyond Metashape, there are
also many open-source programs available that can be used for post-processing or visualizing data,
such as Blender, a powerful 3D modeling software (although with a much steeper learning curve, but
with a large online community and numerous free tutorials). Other open-source programs for
viewing and analysis of 3D data include Meshlab and CloudCompare. The USTP also came to rely
upon the web-based platform Sketchfab [https://sketchfab.com/], which hosts 3D models online for
sharing, and provides “professional” level licenses to educators free of charge. Moreover, Sketchfab,
based on the WebGL standard, enables most anyone to view 3D models in any capable browser, even
smartphones and tablets, without the need for external plugins or specialized applications. 3D
models hosted on Sketchfab can also be embedded on any webpage, a potent outreach tool for
archaeological projects (e.g., http://ustproject.org/sketchfab-models/).
Emergency Documentation: The Eastern Cryptoporticus
Initial trials with photogrammetry in excavation trenches during the 2016 season quickly proved its
utility. However, unexpected circumstances soon gave the project an opportunity to realize its full
potential for rapid and accurate documentation under challenging circumstances. Mechanical brush
removal by local authorities partway through the 2016 excavation season led to the unexpected
discovery of a 21-meter long cryptoporticus (i.e. the eastern buttress of the villa’s terrace, introduced
in Section 2 above). The interior could be accessed via a narrow opening through rubble collapse, but
the interior was spacious enough to stand within. Unfortunately, part of the vaulting near the
entrance had collapsed, and heavy stones precariously hung off the edge. The structural integrity of
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the rest of the vault was in doubt in the initial days after its exposure. Cracks were visible in the
interior vaulting and sections of opus incertum stonework had fallen, revealing the concrete core.
The floor of the cryptoporticus was full of stones, large equid bones, and scattered sherds of earlymodern pottery.
Figure 3. Recording of ground control points with a total station in the eastern cryptoporticus in 2016.
Since the last time the tunnel had been used was unknown, our priority was to document the
structure and its artifact scatter on the floor as completely as possible. Photogrammetry was the
quickest and safest option, minimizing the amount of time any individual had to be present inside
the cryptoporticus, in comparison to conducting a detailed scale drawing of the floor surface.
Illumination within the completely dark interior was provided by a lamp connected via extension
cords to a neighboring property (Fig. 3). Ground control points were recorded with the total station
on coded targets attached to rocks via adhesive putty or soil via nails (a technique later revised, as
discussed in Section 5), and additional targets were placed on the walls to aid in pair alignment.
These conditions were still less than ideal for photography. We attempted to minimize sharp
contrasts in lighting by moving the lamp adjacent to the camera for every shot, but this had to be
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accomplished by moving the power cords so as not to disturb the artifact scatter or coded targets.
Similarly, any movement on the floor risked disturbing the arrangement of objects or targets, and
damp conditions within the tunnel quickly curled the paper targets. Nonetheless, after two sets of
photos were taken, a total of almost 2,500 separate exposures, we were able to successfully produce
an extremely detailed 3D model of the structure, as well as orthomosaics and DEMs of its floor and
walls (Fig. 4).
Figure 4. Eastern cryptoporticus of the Vacone villa. Orthomosaic and DEM plan of floor surface. Sectional
elevations of four walls (southeast wall missing where it presumably connected to the southern cryptoporticus).
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4. RETROACTIVE DIGITAL MODELING CAMPAIGN: 2016-2018
The success with the eastern cryptoporticus modeling convinced the project to digitally record all
the villa’s extant architecture and décor, uncovered since 2012, by removing the sand and geotextile
backfill from all previously excavated trenches. This was also an opportunity to check the
conservation of each room and to repoint loose mortar. The process of cleaning each trench was
laborious, especially since care also had to be taken to trim and remove vegetation that would appear
in the digital products. Finally, to minimize shadows, photographs were taken either in the early
morning after sunrise, or in the late evening before sunset, and the mosaics were lightly watered to
highlight their vibrant color. This last procedure could be very challenging since drying would occur
almost instantaneously, especially after being heated by the sun all day, leading to color unevenness.
As a result, the work unfolded piecemeal over the course of three excavation seasons. Nevertheless,
the digital recording team was able to perform these tasks concurrently with the documentation of
new stratigraphic units in active trenches (discussed in section 5 below).
A mixture of terrestrial photography (i.e., handheld photography walking around the trench) and pole
photography was used. However, the dSLR camera was too heavy to mount elevated without an
expensive boom. Therefore, we used a lighter digital camera (Sony α5100) with a smaller but still
adequate APS-C sensor and a prime wide-angle lens (16 mm). The near perpendicular angles
provided by pole photography were particularly useful for producing quality orthomosaic images of
mosaics (discussed later). Drone photography was limited to brief use in 2017, but better results were
provided at the necessary scale by handheld cameras. Some interior architecture was photographed
using a tripod to facilitate long exposures using only ambient light.
After three years, almost every excavated room was digitized. In addition, we modeled the villa’s
architectural facades and interior, underground, spaces. The result is a near complete digital record
of the villa which is integrated into the project GIS with the site vector plan (Fig. 2). This is an
invaluable photographic dataset that allows the entire structure to be visualized free of backfill.
Relationships can be observed between different rooms, or buried walls from earlier phases, that are
difficult to note on site when all but the active trenches are covered.
5. A NEW DOCUMENTATION PROTOCOL: LAYER-BY-LAYER MODELING OF
ARCHAEOLOGICAL STRATA (2017 – PRESENT)
Beginning in 2017, a new recording protocol was initiated in which every single context is recorded
digitally. This was a relatively easy transition for the project to make since our previous methodology
called for trenches to be cleaned and photographed with each new context. Very little additional time
is required to take a series of photos for photogrammetry at the same time. However, care must be
taken to ensure that models, orthomosaics, and DEMs of each successive context from a trench will
align in GIS and other 3D modeling software. It is therefore imperative that stable ground control
points (GCPs) are used for every context. The GCPs obviously need to be placed within a feature that
will not be removed during excavation (such as a wall) or they can be placed just outside the trench
along the edges. The USTP uses colored bottle caps secured to the side of the trench by very long
nails. The colored bottle caps enhance visibility in the photos and the nails ensure that they will not
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shift even if stepped upon by field workers or run over by a wheelbarrow. The GCPs only need to be
surveyed once with the total station. These same coordinates are then input to every model from the
same trench, assuring a very close alignment between each stratigraphic unit. Although the use of
nails, which must be manually entered into Metashape, results in variable GCP residual root mean
square errors (RMSE) up to a centimeter between unit models, at the typical scale of analysis there is
no (or extremely minor) visible misalignment when different units are visualized together. Machinereadable targets are no longer used for this purpose since they are far less durable than nails or caps.
They also frequently cannot be detected by the software in low or overexposed light conditions, or if
they are bent, too blurry, too small, or even too large in terms of pixels within the photo. They also
tend to be pierced by the pointed end of the total station prism pole, rendering them useless. As
targets on walls, however, they do retain value as they can be located with much greater accuracy by
the photogrammetry software and can improve image alignment [Sapirstein 2016]. They can also be
used on a scale bar as a more accurate scale control in comparison to the total station readings,
whose error under normal field conditions can approach a centimeter or more [Sapirstein 2016;
Sapirstein and Murray 2017:345]. Even a block of wood can suffice for such a scale bar, with the targets
placed at any measured interval (accurate to about a millimeter if done manually), which is then
entered into the photogrammetry software.
One disadvantage of this method is the need to photograph the entire trench, or at least much of it,
for every context model, even if the context in question only extends across part of the excavated
area. This is due to the need to capture the GCPs along the edges for the purposes of georeferencing,
scaling, and aligning. This increases the total number of photos taken, exacerbating issues of storage
and archiving. For this reason, the USTP tried to wait until multiple contexts were ready for
photography to cut down on the need to model an entire unit for a context that only covers a small
area. A related issue is the fact that context boundaries often only extend across part of a trench and
are frequently not easily discernable in the models. For this reason, a polygon shapefile is drawn onto
the model (more precisely, onto the orthorectified plan view, discussed in the next section) indicating
the boundaries of the context. This can be done either directly in Metashape or in a GIS program.
1.1
2D Products: Plans and Sections
Orthomosaics are orthorectified, meaning that they have been corrected for distortion (such as lens,
perspective, or geographic distortion) and are thus scaled and measurable. They are also
georeferenced using ground control points registered with the total station. The coordinates of each
ground control point are converted to a projected coordinate system, so each orthomosaic can be
loaded into the site GIS in their correct location with respect to preexisting vector data. The DEMs
are also orthorectified and georeferenced, but additionally each pixel contains elevation data that
can be represented through a color ramp, to create contours at any chosen interval, or to take the
elevation of any point in the image at any time. In Fig. 5, which displays an orthomosaic and DEM of
a cubiculum (bedroom) adjoining the villa’s peristyle side by side, differences in elevation such as
those created by the collapse of the mosaic floor in the middle of the room appear more clearly in the
elevation model than in the orthomosaic. Moreover, full resolution orthomosaics can be extremely
detailed, given that they are derived from high quality digital photography. The orthomosaic of Room
10, for example, is built from pixels that represent 0.49 mm at full scale. This means that an individual
tessera in the mosaic floor, about 8 mm square, is composed of over 16 pixels in the image, more than
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enough to be zoomed in for observation and measurement. The full resolution orthomosaic of the
eastern cryptoporticus floor (Fig. 4) has an even higher resolution: 0.35 mm pixels. A 10 cm long
artifact is composed of almost 300 pixels, enough for a sharp appearance. The sharpness of the
resultant orthomosaic is also high dependent upon the focus, distance, and angle of the original
photographs, hence the USTP’s focus on detailed zenithal photos over mosaic floors. Their utility as
research tools notwithstanding, orthomosaic files, especially if saved in an uncompressed lossless
format such as GeoTIFF, present significant challenges for storage and viewing on less graphically
capable systems. Downsampled imagery (e.g., 2 mm pixels, as in Fig. 4) are more than sufficient for
traditional publication or public presentation.
Figure 5. Room 10, cubiculum: orthomosaic (left) and digital elevation model with 10 cm contours (right).
Digital models can also be used to create orthomosaics of stratigraphic sections (Fig. 6) and
elevations of any vertical feature (Fig. 7) within a 3D model, even without the use of a prismless total
station or vertical control points on walls or trench edges. This can be achieved in Metashape by
creating two markers, roughly horizontal to each other, directly on the face of the vertical surface to
be rendered in the model. Then a third marker is manually created with the same x and y (or northing
and easting) coordinates of one of the two other points, but a “z” (i.e., elevation) coordinate at an
arbitrary distance higher. These three points define a plane that is perfectly vertical and aligned with
the wall or trench edge to be rendered, which the software uses for a planar projection orthomosaic.
These elevations have the added advantage of being able to represent below and above ground
features simultaneously, provided that obstructing portions of the model are removed prior to the
creation of the orthomosaic.
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Figure 6: Orthomosaic section of fill of underground passage (S2) near its northwest end.
Figure 7. Sectional elevation orthomosaic of the villa’s pressing terrace, with semicircular domed structure from
the earlier Republican phase. Note the views of the three settling vats (left) below ground level.
While the orthomosaics themselves are invaluable records, they can also easily be converted into
more traditional scale vector plans by simply tracing their features in any vector-based illustration
or GIS program. These plans are potentially more accurate since their production is largely
automated by computer algorithms, unlike pencil drawings taken from dozens of hand
measurements converted to scale. For the sake of comparison, Fig. 8a is a measured scale plan of the
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portico of the villa’s peristyle drawn in 2016, the last year we produced pencil drawings on site
concurrently with limited photogrammetry. The stylobate of the peristyle’s colonnade can be seen
along the lower end of the plan, with one in situ column base in the lower right corner. Fig. 8b is an
orthomosaic produced from photogrammetry of the same area. Fig. 8c is a vector plan created by
tracing the walls, pavements, cuts, and stones on an iPad Pro with a stylus in the app Adobe Illustrator
Draw. While the two plans appear similar, there are significant differences that underline the
difficulties of producing a very accurate scale drawing. The orthomosaic, on the other hand, has a
RMSE of less than 2 cm between the input coordinates of the ground control targets, recorded with
the total station, and their position in the model. Switching to photogrammetry therefore has not
only improved the accuracy of our records, but it has also increased our efficiency dramatically,
leaving more time for excavation each season that would otherwise have been devoted to measured
drawing.
a
c
b
d
Figure 8. Northeastern sector of portico of the villa’s peristyle: a) hand-drawn measured plan (1:20 scale);
b) orthomosaic; c) plan traced from orthomosaic; d) digital elevation model (red-yellow=high elevation,
green=middling, blue=low)
One can also create stratigraphic sections of any trench across any plane even after the excavation
is complete (Fig. 9). This can be achieved using the DEMs of the individual contexts. In Metashape, a
polyline can be drawn across the DEM along the plane to be sectioned. Since a DEM records elevation
data in every pixel, it is easy for the software to export a 2D shapefile along this polyline which
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records the elevation of each pixel as a profile line. This can be imported into a GIS in the same project
coordinate system as the model. The original polyline (in plan) can then be exported as a shapefile
and reimported in Metashape into each context DEM from the same trench. The resulting 2D profile
shapefiles are then iteratively exported and imported into the GIS, forming a stratigraphic section. In
ArcGIS, each context can be rendered into a polygon with a “feature to polygon” transformation.
Elevation and scale bars can be added, and the section polyline can be represented on the DEM for
reference (Fig. 9b).
a
b
Figure 9. a) Iterative workflow for building up a stratigraphic section (A-B) in GIS from successive DEMs of
overlying contexts; b) Stratigraphic section with first and last context DEMs above. NW corner of villa peristyle
with two in situ column bases.
6. THREE-DIMENSIONAL VISUALIZATION AND ANALYSIS
The two-dimensional products derived from photogrammetric data are the most frequently
discussed or reproduced in publications because they are essentially digital surrogates for
conventional paper-based documentation. They can easily substitute for traditional plans and
sections or be used to rapidly mimic them. The 3D models themselves, however, should not be
neglected since they form a far more visually powerful representation of the spatial relationship
between archaeological features. Stratigraphic context models have a range of uses. Processes exist
for converting 3D models of contexts into volumetric 3D shapefiles in a 3D capable GIS such as
ArcScene or ArcGIS Pro [Gavryushkina 2018; Ostrowski et al. 2018; Landeschi 2019]. A similar process
for calculating layer volumes can be achieved by performing a raster calculation in QGIS that
subtracts DEM values of the bottom of a unit from those of the top of a unit (similar to the Cut Fill tool
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in ArcGIS [Koenig et al. 2017:65]). Such analysis, although taking advantage of the three-dimensional
properties of the DEM, is still based upon a two-dimensional abstraction of the data (“2.5D”), which
lacks the immediate comprehensibility of the 3D models with their photographic textures. Moreover,
2.5D imagery such as DEMs cannot represent overhanging or vertical features since these occupy
the same x and y coordinates with different elevation values - an impossibility in raster datasets.
Fully 3D models, on the other hand, can easily visualize all types of complex topography and
architecture. To take advantage of this quality, trenches can be virtually “re-excavated” in any 3D
capable program or GIS by simply loading all the relevant unit models at once and selectively turning
their visualization on or off. They can even be rendered into time-lapse videos which show the
successive removal of contexts, or the layers can be animated to “expand” upwards as they were
removed, which serve as useful teaching tools to illustrate the process of stratigraphic excavation
(for an example, rendered in ArcScene, see: https://youtu.be/jQk3rGgSWFM).
The Roman villa at Vacone offers a compelling case study that illustrates the potential paradigm shift
in archaeological data represented by fully 3D data. Their three-dimensionality has more potential
for unlocking structural relationships that cannot be observed unassisted in the field. These include
the relationship of above and below ground features, or the interface of archaeological contexts that
are no longer extant. The creation of 3D models throughout the course of fieldwork has even altered,
to a certain extent, the project’s approach to the process of excavation. An example of each scenario
will be discussed in the following sections.
Above and Below Ground Architecture
Since the Vacone villa is a terraced site with extensive underground features such as
cryptoporticoes, tunnels, and cisterns, 3D modeling has opened entirely new avenues for the project
to visualize and analyze how these various spaces connect and interact within the villa’s
architectural space.
6.1.1
Eastern Porticus and Cryptoporticus
The villa’s eastern porticus (Room 37), for example, sits directly on top of the eastern cryptoporticus.
When the cryptoporticus was first found in 2016, it indicated that the villa extended further to the
northeast than previously realized. At that time, most of this area was under 2 to 3 meters of modern
fill created for a roadway that was partially constructed in the 1970s before work was halted with the
rediscovery of the villa. Furthermore, we had long hypothesized that the southern cryptoporticus
(Room 1) originally supported an overlying porticus overlooking the Aia valley to the south, evidence
of which had long since eroded away. In 2017, a trench was opened above the northern end of the
eastern cryptoporticus to test whether the eastern cryptoporticus supported a similar, hopefully
intact, porticus.
Thanks to layer-by-layer modeling of archaeological strata, we knew exactly how much fill had to be
removed before reaching any anticipated archaeological remains. We were even able to monitor our
progress during the excavation with single-context models that were superimposed upon the
cryptoporticus model, visualizing and measuring how close to the underground architecture the
excavations had come. The result confirmed the existence of an eastern portico, complete with an in
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situ column base and pilaster with fluted stucco, remarkably intact frescos, and a well-preserved
mosaic of the same design as that lifted by the Soprintendenza from the southern portico in the
1980s.
Figure 10. Composite 3D model of the villa’s eastern porticus / cryptoporticus with annotations (hosted on
Sketchfab: https://skfb.ly/6KFSH). The villa’s agricultural pressing terrace (at rear) can also be explored.
A composite model (Fig. 10) created from the end-of-season 3D models and hosted on Sketchfab
(https://skfb.ly/6KFSH), visualizes the relationship of the porticus to the cryptoporticus below,
including windows and the passageway that connects to the villa’s upper level. This model
confirmed, for example, that an unusual u-shaped drain on the exterior of the portico corresponded
to one of the interior windows within the cryptoporticus. The composite model was created in
Blender where a transparent plane was added to indicate the approximate ground level in antiquity.
Since Sketchfab lacks measurement and orientation tools, 3D scalebars (vertical and horizontal) and
a north arrow were also rendered in Blender to orient the viewer and provide a sense of scale. One
particularly useful feature of Sketchfab, on the other hand, is the ability to add numbered annotations.
These can not only provide didactic text but also form a curated virtual “tour” through the model
when a user clicks through them sequentially. Of course, the models can also be freely navigated by
the user, unlike a video walkthrough. It is this ability to interrogate the models by zooming in on
features or viewing them from multiple angles that sets 3D data apart from its 2D counterparts. With
hosting provided free of charge by Sketchfab, models can either be shared privately with staff
members and or they can be set to public for outreach efforts.
As with all 3D data, it is also possible to convert such composite 3D models to conventional 2D
representations for traditional print publications. By combining several models of the villa’s
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architecture, for instance, it is possible to create an orthometric 2D sectional elevation of the entire
villa and its terraces, including the underground features (Fig. 11).
Figure 11. Sectional elevation of the Vacone villa, viewed toward the southwest (as indicated by red arrows in
cutout plan), in an orthographic projection. Created in Blender.
6.1.2
Tunnel-Well System
Another part of the multi-level villa is the southern sector of the main terrace. Here a descending
subterranean vaulted passageway was built directly through the villa’s innermost southern
cryptoporticus wall, creating a corridor which also had access to a well that opens into the pars
urbana above. Another composite model (Fig. 12) created in Blender and hosted on Sketchfab
(https://skfb.ly/6KFSM) visualizes the relationship of the tunnel, cryptoporticus, well, and mosaic
paved rooms above. As with the previous composite model, this also combines architectural spaces
captured in various years. Room 30, for example, was digitized in 2016 after the removal of backfill,
while Room 32, the well, and access tunnel were done in 2017. Room 35 was only excavated in 2018
and added to an earlier rendering of this zone, as was the southern cryptoporticus. Furthermore, the
success of photogrammetry within the narrow access tunnel and well is indicative of the reliability
of the latest generation of software, further reducing the need for a laser scanner even under such
cramped and poorly lit scenarios. This was accomplished using nothing more than a wide-angle
prime lens (16 mm), handheld, with natural ambient lighting. The space itself was too narrow for a
tripod or artificial lighting.
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Figure 12. Composite 3D model of the villa’s tunnel and well system, and its correspondence with features on
ground level, with annotations (hosted on Sketchfab: https://skfb.ly/6KFSM)
Burials, Small Finds, and Conservation
Photogrammetry has also proven invaluable in instances where speed and accurate documentation
are a necessity. It has, for example, revolutionized the speed and accuracy with which we can record
human burials. With photogrammetry a perfectly scaled model can be generated in just a couple of
hours. These models also document the exact location of grave goods, such as a bronze ring found in
situ on individual G5.1’s left hand, that can be measured and interrogated for further study by
specialists long after the burial’s removal. It is also useful for documenting conservation efforts on
site. 3D models provide a superior record of the original location and condition of mosaics and wall
paintings before treatment than simple photographs. For example, in 2018 a small circular section of
mosaic that had collapsed into a void was lifted. When this mosaic section is eventually restored to
its original location, the 3D model will serve as a useful guide to its original orientation.
Photogrammetry has also enhanced our ability to accurately record the original context of small
finds, such as an iron hinge found in situ within the pivot hole of a stone threshold in 2017. By rotating
the view of the 3D model, a future researcher can observe the position and orientation of the hinge
in 360 degrees, as opposed to mere photographic documentation that might only capture a handful
of angles.
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Artifact Modeling
A limited selection of notable artifacts has also been digitized using photogrammetry. Since objects
remain in storage in Vacone during the off season, 3D models facilitate continued study back home.
They can either be explored digitally or 3D printed for physical manipulation. They can also be shared
with colleagues seeking comparanda or identification, or they could form the core of a virtual
museum hosted on the project’s webpage. On select objects, digital models can also be enhanced to
help distinguish subtle details in their surface décor or texture. The process to create artifact models
is slightly more time intensive than trench photogrammetry since it must be done with a turntable
in a photo tent with the camera mounted on a tripod [Porter et al. 2016]. Moreover, both sides of the
artifact must be modeled separately and then joined in Metashape. Once complete, however, these
models are extremely accurate because of the controlled conditions of their photography, with RMS
errors often less than a millimeter.
a
b
Figure 13. 3D model of a late antique ARS lamp (c. 500 AD), viewed in Sketchfab (https://skfb.ly/6PLSz):
a) Photographic texture; b) MatCap shader in the Model Inspector view.
One example (Fig. 13) is a late antique ARS oil lamp (Hayes IIA, Bailey Q1837), dating to c. 500 CE, found
in a fill layer in the southern cryptoporticus [Franconi et al. 2019, 129]. Although difficult to discern,
the discus, framed by a braided border, contains a female bust facing left with hair wrapped into a
bun. The shoulder is framed by a motif of inscribed circles, squares, and palmettes. The nozzle is
charred from use. When viewed on Sketchfab (https://skfb.ly/6PLSz), the Model Inspector feature can
be activated, which offers various shaders in addition to the default photographic texture. In
particular, the MatCap (Material Capture) option, which replaces the object’s real colors with a
singular color whose tint varies with the model’s surface angle relative to the viewer’s perspective
(i.e., vertex normal), is especially useful for observing surface contours on objects. With this shader
activated, the lamp’s decoration can be easily studied while rotating the object to capture individual
details. Since Sketchfab lacks functionality for measurement, a 3D scalebar was added in Blender. 3D
models of other artifacts from the USTP, such as a well-preserved fritillus (https://skfb.ly/6OS9D) and
a modern ceramic sherd bearing a forged inscription (https://skfb.ly/6PLTF), are also available online.
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Complete Site 3D Model
After the conclusion of the three-year retroactive digital modeling campaign and with the
implementation of the new digital recording protocol, there is now an almost compete 3D model of
the entire site excavated to date (Fig. 14). The model can be continuously updated, as well, as new
spaces are revealed by future excavation seasons. Rendered in Blender, it includes many of the same
elements as the composite models discussed above, such as scalebars, a north arrow, and various
transparent planes that indicate ground levels while allowing underground architecture to be seen.
It is an invaluable resource for study conducted in the off season, and even serves as a convenient
reference during fieldwork when questions arise related to adjacent backfilled zones. It permits
continued interrogation of the villa’s spaces in ways that are simply impossible even when present
on site because the rooms are covered for conservation, and because the site itself is composed of
various terraces and underground spaces that cannot be viewed simultaneously in person. The full
model includes most of the villa’s exterior and interior architectural spaces. At present, the model
can only be viewed and manipulated in Blender on a computer with capable graphics hardware,
however, animations rendered in Blender from the model can be more easily distributed as video
files (a fly-through video is available at: https://youtu.be/aF1bzUhDqtI). Future iterations could
include an associated VR capable model for an immersive experience at real scale. A publicly
available model located in the town of Vacone would also allow the local community greater access
to the site than can currently be experienced on site given current conservation practices. The
reception of 3D data by this kind of non-specialist, but heavily invested, audience has gained
significant traction [Rabinowitz 2019].
Figure 14. Complete 3D model of the villa’s remains as of the 2018 excavation campaign. Viewed in Blender.
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7. CONCLUSIONS
Impacts, Challenges, Missteps, and Recommendations
The implementation of photogrammetry at Vacone revolutionized the quality and efficiency of
recording and documentation of the project’s excavations. It was achieved, moreover, with no
disruption to fieldwork. Analog records, such as trench sketches, paper forms, and notebooks, still
form an important component of the excavation’s documentation protocols. Photogrammetry
complements these traditional practices. Pencil and paper documentation maintains crucial
attentiveness to details that allow trench supervisors and excavators to accurately interpret
stratigraphy [Caraher 2016; Morgan and Wright 2018; contra, see now Sapirstein 2020]. Paper records
also provide added context for the digital data. Most importantly, they constitute an extra layer of
long-term archival security given the precarity of digital data. Current prices for storing the large
amounts of data generated by 3D recording in digital repositories such as the Digital Archaeological
Record [tDAR.org] or OpenContext [opencontext.org] are unfortunately prohibitive. This means
individual projects must develop responsible backup procedures until more standardized and
affordable long-term solutions emerge. Cloud-based solutions (e.g. Dropbox, Box, Google Drive,
OneDrive, etc.) are a possible archival stopgap, but require renewable subscriptions for larger storage
capacities (typically up to 2 TB). In addition to long-term preservation of digital data, issues of data
sustainability and accessibility also remain largely unresolved [e.g. Clarke 2015; Richards-Rissetto
and von Schwerin 2017; Hardesty et al. 2020], and individualized solutions must be identified.
Unfortunately, current practices tend towards customized software that are either not distributed for
wider access or remain difficult to implement for budget strapped projects without support from
technology specialists.
Moreover, the USTP’s digital transition was not accomplished without missteps and inefficiencies
typical of any new methodology. Documentation of difficult areas, such as poorly lit, narrow,
underground spaces, often required two or more rounds of photographs when the first set failed to
render correctly. Early experimentation with drone photography was also misguided given the scale
of recording, and the propellers often blew dirt and vegetation onto pristinely cleaned surfaces,
resulting in additional time and labor. Much time was also lost to cleaning spaces used for storage of
excavation equipment so that it could be photographed for photogrammetry. Time was also spent on
mundane tasks such as locating bottle caps, nails, and printing services to create more machinereadable targets when the initial supply was damaged or exhausted. Lack of electricity on site in the
first two years meant that all model processing had to be done in the evening, and a significant
backlog of photos built up, pushing a lot of processing into the post-season. Fortunately, this did not
slow down excavation. Stratigraphic context models proved to render reliably and without problems,
so we did not feel it necessary to wait until these were processed to remove layers. Significantly,
however, this meant that orthomosaics of contexts were unavailable to supervisors until much later
in the season and there was no adequate workflow for recording vector polygons of context
boundaries into the site GIS. The division of the digital recording team from trench supervisors and
excavators meant that those processing the digital data lacked detailed understanding of
stratigraphic boundaries and sequences. Context boundaries, then, needed to be drawn over
orthomosaics using notes from field journals, often in subsequent years.
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In retrospect, a unified plan with a clear vision for the format of final products should be established
from the beginning of any such digital transition. This needs to include not just procedures for
cleaning and photographing the trenches, but also a timeline for processing models and then
ensuring that context boundaries are added. This could be as simple as having a color printer and
supply of ink so that printouts of orthomosaics can be drawn on by hand by trench supervisors with
detailed stratigraphic insight. It could also include a small supply of tablets so that context
boundaries can be digitally drawn. This can be accomplished with minimal technological expertise
using, for example, built in image annotation tools in iOS. Technologically savvy, bespoke, solutions
(using apps like iDig [Boyd et al. 2021] or field enabled wireless client-servers [Roosevelt et al. 2015;
Taylor et al. 2018]) are inspirational but impose steep challenges for low budget projects without
expert technological staff. Simpler, “out-of-the-box” solutions, are more cost-effective, flexible, and
less likely to lead to technological breakdowns and delays.
Ideally, the digitization of all data, from 3D models down to GIS vector files, should be completed
before the end of the season so that questions of interpretation can be addressed with access to the
field. This might mean investing in multiple computers for more efficient evening processing or
creating a workflow with on-site electricity or transferal of photos to an off-site processing lab. The
physical separation of digital and excavation teams, however, should be avoided because both need
to have a mutual understanding of the processes involved in each realm of work. A strategy that
integrates excavation and digital team members (i.e., all are engaged in both activities) is
recommended to ensure effective collaboration, avoid “technological elitism,” and foster a
democratized interpretative process [Taylor et al. 2018].
Future Directions
Three-dimensional data still have untapped potential to unlock new forms of analysis. For instance,
single context orthomosaics might be able to assist in the identification of stratigraphic changes
since these are sometimes more clearly visible in digital form, especially with color enhancement,
than on site. Single context models can also be used to calculate the volumes of excavated layers,
leading to the computation of artifact densities, for example. The locations of small finds, already
recorded with the total station, could be represented in a 3D GIS by a 3D point to pinpoint their exact
provenience within a stratigraphic unit. Finally, the full site 3D model could form the basis of a
computer-generated reconstruction of the villa’s architecture. By integrating the photogrammetric
models with reconstructed walls, it is possible to create a reconstruction that more honestly
represents what is extant and what is conjectured. Such a model will illuminate the possible
connections of interior spaces within the villa and reveal aspects of lighting and sight that are
currently unclear. Furthermore, building a digital reconstruction directly onto an accurate 3D model
of the existing remains has been shown to assist in the interpretative process (as done, for example,
by the Swedish Pompeii Project with data derived from laser scanning [Dell’Unto et al. 2013], or using
the Extended Matrix methodology [Demetrescu 2015, 2018; Ferdani et al. 2019]).
Most importantly, the digital dataset represents a significant advancement in the volume of
information recorded each excavation season. As archaeology is a destructive process,
archaeologists are ethically bound to transmit as much evidence as possible to future generations
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[Koenig et al. 2017:67]. With each passing year, technological upgrades will ensure that future
researchers have ample data with which to assess the USTP’s conclusions.
8. ACKNOWLEDGEMENTS
The authors gratefully acknowledge the contributions of staff and students of the USTP and
associated field schools. We would especially like to thank the members of the Digital Recording
Team that have not co-authored this paper: Dr. Alessandro Pintucci (2017-2018) and Dr. Alessandra
Ricci (2016-2018). We would also like to extend our gratitude and appreciation to Wesley Bennett, who
did preliminary work on our digital recording prior to 2016. Thanks must also be given to Dr.
Alessandro Betori of the Soprintendenza Archeologia, Belle Arti e Paesaggio per le province di
Frosinone, Latina e Rieti and the Comune di Vacone for their support. Sig. Remo di Claudio, whose
property abuts the Vacone villa site, generously provided easier physical access to parts of the site
as well as electricity and lighting to facilitate photogrammetry in the cryptoportici. The Upper Sabina
Tiberina Project is directed by Drs. Tyler Franconi, Candace Rice, Dylan Bloy and Gary D. Farney. We
also extend our thanks to the anonymous reviewers, whose helpful suggestions improved the final
version considerably. Finally, we extend our sincere gratitude to SDH editor-in-charge Gabriele Guidi
for his patience and guidance in the editorial process.
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