At the turn of the twentieth century, American logging companies backed by the US colonial regime initiated extensive extraction in Bikol, Philippines. Industrial infrastructure and the involvement of a newly assembled Bikolano workforce left a profound imprint on the region's landscape. This article discusses a collaborative archaeological project that used archival materials, place-name analysis, ethnographic interviews, discussions with local scholars, satellite mapping, and drone-mounted lidar scans of former industrial sites. Findings shed light on the enduring ramifications of American logging in the early 1900s on settlement patterns, the infrastructure of routes and mobility, the state of industries from Philippine independence in 1946 through the 1980s, and ongoing environmental hazards. These findings emphasize the legacy of American empire, reveal the role of Filipino logging workers in shaping the landscape through settlement decisions, and uncover intricate connections across a pan-Pacific American colonial frontier that was shaped by both extractive and settler colonialism. This article adds to an emerging trend in Americanist archaeology in which archaeology investigates recent historical and even contemporary events.

This article describes a series of steps to integrate multiple modes of archaeological mapping in arid and agricultural settings. We use the coastal region of Peru as a case study and share our recent field experience at Cerro San Isidro, a multicomponent hill site located in the agriculture-intensive and mid-elevation (about 500 m asl) Moro region of the Nepeña Valley. In June and July 2022, we spent eight weeks deploying a combination of drone aerial imagery, pedestrian GPS reconnaissance, and GPR survey to map the surface and subsurface features at the site and in the adjacent agricultural fields. Our efforts suggest that the ancient settlement extended over an area of at least 50 ha, well beyond the visible surface architecture. Using a multimodal approach to confirming the partial destruction of archaeological vestiges by modern agricultural encroachment is both time-effective and noninvasive. The article offers insights from our experience, including the sequence of field operations, technical troubleshooting, and the collection and integration of datasets. We discuss the methodological potential and implications of this combination of multimodal mapping and its deployment in coastal Peru, a region that, like many others in the world, is increasingly subject to rapid agricultural expansion and other anthropogenic developments.

Many Indigenous groups in Taiwan, including the Bunun, inhabited remote mountainous regions. Beginning in the 1930s, all mountain settlements were relocated to lower-lying areas by the colonial authorities. These groups lost the territories where they used to hunt, practice slash-and-burn agriculture, and carry out other social and cultural practices. Having being separated from their ancestral lands for decades, their knowledge of their former settlements and traditional ways of life is gradually disappearing. In recent years, there is a tendency among the younger generation of Indigenous people to organize and participate in roots-seeking expeditions. As their knowledge about the former settlements is limited, they seek help from the elderly—and archaeologists. Since 2014, I have collaborated with Bunun communities, recording their ancestors’ lands in the Lakulaku River Basin by joining archaeological surveys on roots-seeking trips. During these surveys, I had to learn Bunun values and gain knowledge of the Lakulaku River Basin via the bodily experience of moving through and being in the landscape with its traditional inhabitants. By applying remote-sensing technologies such as airborne lidar in our surveys, our team managed to identify and record settlements that were unfamiliar to the Bunun.

Despite considerable developments in the archaeological application of lidar for detecting roads, less attention has been given to studying road morphology using lidar. As a result, archaeologists are well equipped to locate but not thoroughly study roads via lidar data. Here, a method that visualizes and statistically compares road profiles using elevation values extracted from lidar-derived digital elevation models is presented and illustrated through a case study on Chaco roads, located in the US Southwest. This method is used to establish the common form of ground-truthed Chaco roads and to measure how frequently this form is across non-ground-truthed roads. This method is an addition to the growing suite of tools for documenting and comparing roads using remotely sensed data, and it can be particularly useful in threatened landscapes where ground truthing is becoming less possible.

During the late nineteenth and early twentieth centuries, over 450 precolumbian and historic Indigenous agricultural fields were documented across the state of Wisconsin. Today, the vast majority of these features are generally assumed to have been destroyed. Focusing on the Wisconsin River basin, which has the highest concentration of known archaeological field systems in the Midwest, this study explores the potential of using historical aerial photographs to identify and interpret archaeological agricultural features. Relying on state site records, an archive of high-resolution 1930s aerial images, and modern lidar data, we carefully examine the region surrounding 59 sites where fields had previously been documented. At a quarter of the sites we investigated, we successfully identified both known and unrecorded archaeological features—including agricultural fields, effigy mounds, earthworks, and house basins—most of which have been destroyed by recent land use practices. Our analysis sheds light on the complexity and richness of the archaeological landscape, with vast agricultural spaces situated beyond traditional site boundaries, and suggests that precolumbian and historic Indigenous agricultural fields may have been much larger and more widespread than conventionally understood.

Archaeologists have struggled to combine remotely sensed datasets with preexisting information for landscape-level analyses. In the American Southeast, for example, analyses of lidar data using automated feature extraction algorithms have led to the identification of over 40 potential new pre-European-contact Native American shell ring deposits in Beaufort County, South Carolina. Such datasets are vital for understanding settlement distributions, yet a comprehensive assessment requires remotely sensed and previously surveyed archaeological data. Here, we use legacy data and airborne lidar-derived information to conduct a series of point pattern analyses using spatial models that we designed to assess the factors that best explain the location of shell rings. The results reveal that ring deposit locations are highly clustered and best explained through a combination of environmental conditions such as distance to water and elevation as well as social factors.

After acquiring 91 km2 of lidar data from the Zacapu region, West Mexico, we confronted a series of issues that most archaeologists using this technology face. These include the large volume of data available, the limited training of potential “analysts,” the difficult development of a collective mapping tool and protocol, and the reliability of desk-based interpretation of archaeological features. In this article, we present an initiative conducted in 2015 and 2017 as an attempt to answer these methodological and pedagogical issues. We developed a web mapping platform to collectively interpret archaeological features using lidar-derived imagery and to train volunteer students to participate in this desk-based web mapping within a crowdsourcing framework. After evaluating the results of this initiative, we discuss the potential and limitations of this method for both lidar-based research and future training.

A common property regime was established at the founding of the Maya site of Actuncan, Belize, in the Terminal Preclassic period (175 BC–AD 300), which governed access to land until the Terminal Classic period (AD 780–1000). This interpretation is based on urban settlement patterns documented through household excavation and remote-sensing programs. Excavations of all visible patio-focused groups in the urban core provided data to reconstruct residential histories, and a 60,621 m2 gradiometer survey resulted in a magnetic gradient map that was used to document buried constructions. Twenty ground-truth testpits correlated types of magnetic signatures to buried patio-focused groups and smaller constructions, including walled plots in agricultural field systems that were later exposed more fully through large-scale excavations. Combined, these methods provided data to reconstruct four correlates of land tenure systems: (1) the spatial proximity of residential units to land and resources, (2) diachronic changes in community settlement patterns, (3) land subdivision and improvements, and (4) public goods. Spatial analyses documented that houselots did not cluster through time, but instead became gradually improved, lending evidence to suggest the transgenerational inheritance of property rights in the Late and Terminal Classic periods.

Powerful hurricanes in 2017—Hurricanes Harvey, Irma, and Maria—were stark examples of how these previously rare catastrophes are becoming increasingly normal due to climate change, with dire consequences for cultural resources. These storms, sometimes called megastorms or superstorms, were the first in which high-resolution satellite imagery was available in the immediate aftermath, providing a new tool for rapidly evaluating damage to archaeological sites. Using Hurricane Harvey as a case study, we examined two recent spatial models of archaeological site vulnerability to long-term climate change to determine whether these models are also adequate for predicting the impacts of short-term climate catastrophes. We further examined a number of individual variables that we expected to be useful in predicting which sites would be most vulnerable to flooding, such as proximity to rivers, the coast, or the floodplain. Neither the models nor the individual variables correlated well to increased risk to archaeological sites, with the exception of land use. Sites located within developed areas benefited from measures to protect property and were less often flooded. We suggest that strategies for responding to megastorms would be most effective through a combination of preparedness, analysis of remote sensing data, and existing field research methods.