Researchers at Tulane University have identified a dense, previously unrecognized Maya settlement in the jungles of Campeche, Mexico, by re-analyzing airborne laser data that was originally collected for environmental purposes. The site, often reported as Valeriana, contains thousands of ancient structures spread across an area once assumed to be uninhabited forest. The finding, published in the journal Antiquity by Cambridge University Press, challenges a longstanding assumption in Maya archaeology: that scholars had already located most of the civilization’s major population centers.
Why the Campeche LiDAR discovery changes Maya population estimates
For decades, archaeologists working in the Maya lowlands operated under the premise that large gaps of empty jungle separated known cities. Ground surveys reinforced this view because thick canopy made it nearly impossible to spot stone ruins from the surface. The Campeche study dismantles that premise with hard data. Lead author Luke Auld-Thomas, a Tulane University doctoral researcher, and his colleague Marcello Canuto re-examined LiDAR scans that had been flown over roughly 130 square kilometers of forest for ecological monitoring, not archaeology. When they stripped away the digital tree canopy, the scans exposed more than 6,500 structures, including pyramids, plazas, and raised causeways connecting residential clusters.
That structure count carries a direct implication for population modeling. If a 130-square-kilometer patch assumed to be empty actually held thousands of buildings, comparable patches across the Yucatán Peninsula and northern Guatemala could harbor similar densities. The environmental variables that correlate with high structure counts in Campeche, particularly proximity to seasonal water sources and moderate slope gradients, are not unique to that region. They repeat across adjacent territories in Quintana Roo and Guatemala’s Petén department, where large-scale LiDAR coverage already exists but has not been re-examined with the same classification approach. Applying the Campeche team’s detection thresholds to those neighboring datasets could flag additional settlement clusters that current maps miss entirely.
This has knock-on effects for estimates of how many people lived in the Maya lowlands at their peak. Population reconstructions depend on assumptions about how densely households were packed into the landscape and how much “empty” land separated them. If those empty zones are instead filled with smaller centers, farmsteads, and infrastructural features like causeways and terraces, the overall population ceiling for the region rises. A denser settlement web also suggests more intensive land use, with implications for how the Maya managed water, soil fertility, and forest resources to sustain large populations over centuries.
How environmental LiDAR exposed structures at Valeriana
The method behind the discovery is as significant as the finding itself. Traditional archaeological LiDAR campaigns are designed from the start to detect human-made features. They use specific flight altitudes, pulse densities, and return-signal filters tuned for stone architecture. The Campeche dataset was none of those things. It was collected to measure forest biomass and canopy height, meaning the point-cloud density was lower and the classification algorithms were built for vegetation, not ruins. Auld-Thomas and Canuto developed a workflow to re-classify the returns, filtering ground-level anomalies that matched the geometric signatures of platforms, walls, and causeways. Their Antiquity article details how features were sorted by size, shape, and spatial clustering to distinguish ancient construction from natural terrain.
The practical takeaway is that vast archives of environmental LiDAR already exist across Central America, collected by forestry agencies, carbon-monitoring programs, and conservation groups. Most of those datasets have never been screened for archaeological content. If the Campeche re-analysis method proves replicable, it could convert existing data into an archaeological survey tool at a fraction of the cost of dedicated flights. A Nature news piece on the findings frames the result as evidence that the ancient Maya lowlands were far more densely settled than any previous regional model suggested, with the implication that population estimates for the Classic Maya period may need significant revision upward.
Reprocessing environmental LiDAR also lowers barriers for researchers working with limited budgets. Instead of commissioning new flights, teams may be able to negotiate access to existing point clouds and apply archaeological filters to them. That approach could democratize high-resolution mapping, allowing smaller institutions and local heritage offices to participate in large-scale landscape studies. At the same time, the Campeche case shows that archaeologists must understand the technical limitations of non-archaeological LiDAR-such as coarser point spacing and different noise profiles-so they do not over-interpret ambiguous features.
Interpreting a “crowded” landscape
One of the most striking outcomes of the Campeche analysis is the shift from imagining isolated city-states to envisioning a nearly continuous mosaic of settlements. Instead of discrete urban islands separated by wilderness, the LiDAR imagery suggests a spectrum of occupation, from monumental cores to smaller nodes linked by roads and causeways. This pattern complicates simple models of political geography that draw hard boundaries between city territories.
A denser, more interconnected landscape also reopens debates about how the Maya organized labor and governance. Extensive causeway networks imply coordinated planning and maintenance, while widespread terracing and water-control features point to sophisticated management of agricultural risk. If such patterns are confirmed on the ground, they would support interpretations of the Classic Maya as capable of regional-scale infrastructure projects, even in areas previously written off as marginal.
At the same time, the apparent crowding of the landscape raises questions about environmental stress. Intensive land use over centuries could have contributed to deforestation, soil depletion, and vulnerability to drought. Understanding how the inhabitants of Valeriana coped with those pressures-whether through diversification of crops, water storage, or political reorganization-will require fieldwork that can tie specific features to dated occupation phases.
Gaps in the evidence and what comes next for Valeriana
The Campeche study is built entirely on remote sensing. No ground-truthed excavation data, artifact inventories, or radiocarbon dates have been published for the mapped features. That means the function of individual structures, whether residential, ceremonial, or agricultural, has not been confirmed by physical inspection. The occupation span of the site also lacks direct dating evidence. Auld-Thomas and Canuto infer a Classic-period presence based on architectural typology visible in the LiDAR returns, but that inference has not been tested with stratigraphic excavation.
Equally unresolved is the site’s legal and conservation status. None of the reporting on the discovery references official site-registry entries from Mexico’s National Institute of Anthropology and History (INAH), and no permit records or protection designations have been cited. For a settlement of this apparent scale, formal registration would typically trigger restricted-access zones and monitoring protocols. Whether those steps are underway is not addressed in the published record. The absence of statements from Mexican co-authors or local communities about stewardship plans is another gap. The institutional announcement from Tulane quotes the research team but does not include perspectives from stakeholders who live near the site or manage the surrounding protected areas.
Future work at Valeriana will likely depend on building collaborative frameworks that combine technical expertise with local knowledge and legal authority. Archaeologists will need permits and logistical support to move from remote sensing to test pits and broader excavations. Conservation agencies will have to weigh the benefits of research and controlled tourism against the risks of looting and environmental damage. Community organizations, meanwhile, have a stake in how the site is presented to the public and how any economic benefits are distributed.
Beyond Campeche, the larger lesson is methodological. The success of the re-analysis underscores the value of revisiting existing datasets with new questions. Environmental LiDAR collected for one purpose can reveal unexpected patterns when viewed through another disciplinary lens. As more researchers gain access to archives managed by government and private entities, they may uncover additional dense settlement clusters across the Maya lowlands and beyond. Some of that access will require navigating paywalls and data-use agreements, as illustrated by the login pathway associated with the Nature coverage.
For now, Valeriana stands as a reminder that even in one of the most intensively studied ancient landscapes on Earth, major population centers can still hide in plain sight-encoded in data gathered for entirely different reasons, waiting for someone to look again.
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*This article was researched with the help of AI, with human editors creating the final content.
