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In the context of the ongoing biodiversity crisis, understanding forest ecosystems, their tree species composition, and especially the successional stages of their development is crucial. They collectively shape the biodiversity within forests and thereby influence the ecosystem services that forests provide, yet this information is not readily available on a large scale. Remote sensing techniques offer promising solutions for obtaining area-wide information on tree species composition and their successional stages. While optical data are often freely available in appropriate quality over large scales, obtaining light detection and ranging (LiDAR) data, which provide valuable information about forest structure, is more challenging. LiDAR data are mostly acquired by public authorities across several years and therefore heterogeneous in quality. This study aims to assess if heterogeneous LiDAR data can support area-wide modeling of forest successional stages at the tree species group level. Different combinations of spectral satellite data (Sentinel-2) and heterogeneous airborne LiDAR data, collected by the federal government of Rhineland-Palatinate, Germany, were utilized to model up to three different successional stages of seven tree species groups. When incorporating heterogeneous LiDAR data into random forest models with spatial variable selection and spatial cross-validation, significant accuracy improvements of up to 0.23 were observed. This study shows the potential of not dismissing initially seemingly unusable heterogeneous LiDAR data for ecological studies. We advocate for a thorough examination to determine its usefulness for model enhancement. A practical application of this approach is demonstrated, in the context of mapping successional stages of tree species groups at a regional level.
The site of Guiengola is an example of one of the settlements built by the Zapotecs during their fourteenth- to fifteenth-century migration to the Southern Isthmus of Tehuantepec. Although Guiengola is well known in the ethnohistorical record as being the place where the Mexica armies were defeated by Zapotec forces during the late fifteenth century, the full extension of the site was previously unknown. Despite evidence of a dense population at the site, it has been mistakenly characterized as a fortress for housing soldiers and troops from the nearby town of Tehuantepec. Here, I present the research of the Guiengola Archeological Project, which conducted a lidar scan and archaeological surveys between 2018 and 2023. In this article, I share a comprehensive map of Guiengola, a Postclassic Mesoamerican city. My analysis identifies a large settlement that covered 360 ha and included a walled system of fortifications, an internal road network, and a hierarchically organized city. The findings of this project expand our understanding of the variations and social divisions in the city's internal urban organization, which in turn, allow us to deepen our comprehension of the transition to the Early Colonial barrio organization of Tehuantepec.
The Dorchester Aqueduct, located to the north-west of Dorchester (Durnovaria) in Dorset, is arguably the most famous and well-examined Roman watercourse in Britain. The aqueduct has been intermittently investigated over the course of the last 100 years, but most extensively during the 1990s. The upper stretches of the aqueduct and its source have, however, eluded archaeologists, with multiple routes and water sources being suggested. A new programme of geophysical and topographic survey, combined with targeted investigation together with a reappraisal of the excavations from the 1990s, has provided additional evidence for the route of the aqueduct, extending its course for a further two kilometres to Notton on the River Frome.
The Kaanuˀl dynasty ruled a hegemonic state with political influence over much of the Classic Maya Lowlands between a.d. 520 and 751. The present article introduces the subject for a special section of the journal, which refocuses attention on the archaeological zone of Dzibanche in southern Quintana Roo, Mexico, where new data are emerging about the origins of the Kaanuˀl dynasty, its urban organization, and its connections to neighboring centers. In this article, we present new data from a recent lidar survey as well as from previous work by Enrique Nalda's Instituto Nacional de Antropología e Historia (INAH) project to reevaluate Dzibanche's characteristics vis-à-vis its rise as a kingdom with far-reaching political influence. We complement these archaeological data with epigraphic information from new monuments and reanalysis of existing ones based on 3D scanning to update the list of Dzibanche rulers. We then revisit the chronology of Dzibanche's royal burials proposing correlations with known Early Classic Kaanuˀl rulers. Overall, the contributions to this special section present new perspectives on the Kaanuˀl's rise to power and its relationship with distant vassals in the crucial period of expansion into northern Peten, leading to the defeat of Tikal and eventually to its transition to a new dynastic seat at Calakmul in the a.d. 630s.
As airborne lidar surveys reveal a growing sample of urbanised tropical landscapes, questions linger about the sampling bias of such research leading to inflated estimates of urban extent and population magnitude. ‘Found’ datasets from remote sensing conducted for non-archaeological purposes and thus not subject to archaeological site bias, provide an opportunity to address these concerns through pseudorandom sampling. Here, the authors present their analysis of an environmental lidar dataset from Campeche, Mexico, which reveals previously unrecorded urbanism and dense regional-scale settlement. Both characteristics, the authors argue, are therefore demonstrably ubiquitous across the central Maya Lowlands.
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.
Clusters of Neolithic cursus monuments are attested in several parts of Britain but have so far not been recorded in Ireland, where only isolated or pairs of monuments are known. A recent lidar survey of the Baltinglass landscape of County Wicklow, Ireland, has now identified a cluster of up to five cursus monuments. Here, the author explores this group of monuments and their significance within the wider setting of Neolithic Ireland and Britain. Their unique morphology, location and orientation offer insights into the ritual and ceremonial aspects of the farming communities that inhabited the Baltinglass landscape and hint at the variability in the form and possible functions of these monuments for early farming communities.
This study identifies the reasons for geodynamics variability of the coastal system within two cliff-shore sections of the southern Baltic Sea (SBS). The comparative analysis included distinct moraines and their foregrounds near the open sea (S1) and within the Gulf of Gdańsk (S2). Short-term trends indicate a direct link between landslide occurrence and increased cliff retreat. Long-term (total) values were obtained by developing the 4F MODEL for large-scale applications, based on the analysis of remote sensing and hydroacoustic data (to determine the extent of shore platforms), the modelling of higher-order polynomial functions describing their extent, followed by the integral calculus of the indicated functions within the open-source Desmos environment. The retreat dynamics for individual landslides (S1) was an order of magnitude higher (m/yr) than the average for the whole cliff section (0.17 ± 0.008 m/yr), which correlates well with medium- and long-term development tendencies and recession dynamics, revealed by the numerical modelling method, since approximately 8 ka b2k, years before 2000 CE (at S1 = 0.17 ± 0.020 m/yr, at S2 = 0.11 ± 0.005 m/yr). While the approach described in this paper can reveal, project, and simulate the dynamics of past and future trends within other cliffed coasts shaped in tideless conditions, it also proves stable moraine erosional responses to sea-level rise since the Mid-Holocene.
Durable architecture is a hallmark of Polynesian chiefdoms, associated with centralised control of residential and agricultural land. Previous work in West Polynesia has indicated a relatively late date for the onset of such construction activity—after AD 1000—suggesting that political development was influenced by events such as post-colonisation migration. The authors report new dating evidence from the excavation of a large earth mound on the island of Tongatapu. Its construction 1500 years ago indicates that, in contrast to previous findings, well-developed chiefdoms and field monuments probably dominated the landscapes of West Polynesia substantially prior to the colonisation of more easterly island nations.
Backdoor attacks have been considered in non-image data domains, including speech and audio, text, as well as for regression applications (Chapter 12). In this chapter, we consider classification of point cloud data, for example, LiDAR data used by autonomous vehicles. Point cloud data differs significantly from images, with the former representing a given scene/object by a collection of points in 3D (or a higher-dimensional) space. Accordingly, point cloud DNN classifiers (such as PointNet) deviate significantly from the DNN architectures commonly used for image classification. So, backdoor (as well as test-time evasion) attacks also need to be customized to the nature of the (point cloud) data. Such attacks typically involve either adding points, deleting points, or modifying (transforming) the points representing a given scene/object. While test-time evasion attacks against point cloud classifiers were previously proposed, in this chapter we develop backdoor attacks against point cloud classifiers (based on insertion of points designed to defeat the classifier, as well as to defeat anomaly detectors that identify point outliers and remove them). We also devise a post-training detector designed to defeat this attack, as well as other point cloud backdoor attacks.
Although conflict archaeology is now well established, the archaeological remains of many specific military confrontations are still to be explored. This article reports the results of fieldwork to document the site of the Battle of the Bulge (16 December 1944–25 January 1945). The authors use drone-mounted 1m-resolution LiDAR and very high-resolution simultaneous localisation and mapping (SLAM) methods to reveal more than 940 features within the forested Ardennes landscape, many of which were subsequently visited and confirmed. As well as highlighting the potential of the LiDAR-SLAM method, deployed here (both in this geographic region and in conflict archaeology) for the first time, the survey results emphasise the need for a debate on managing the heritage of a key modern conflict landscape in Europe.
In this paper, we propose a comparison of open-source LiDAR and Inertial Measurement Unit (IMU)-based Simultaneous Localization and Mapping (SLAM) approaches for 3D robotic mapping. The analyzed algorithms are often exploited in mobile robotics for autonomous navigation but have not been evaluated in terms of 3D reconstruction yet. Experimental tests are carried out using two different autonomous mobile platforms in three test cases, comprising both indoor and outdoor scenarios. The 3D models obtained with the different SLAM algorithms are then compared in terms of density, accuracy, and noise of the point clouds to analyze the performance of the evaluated approaches. The experimental results indicate the SLAM methods that are more suitable for 3D mapping in terms of the quality of the reconstruction and highlight the feasibility of mobile robotics in the field of autonomous mapping.
Recent research conducted in northern Michoacan, west Mexico, has yielded significant new datasets that can be used to reconsider the occupation of this region in the Postclassic period (a.d. 900–1541), prior to and during the rise of the Tarascan state. LiDAR data, in particular, has facilitated reassessment of the archaeological record and its implications concerning the population and social dynamics of this region. In this article, I combine data collected through traditional field-based research with LiDAR-derived data to reassess the population aggregation that occurred during a.d. 1250–1450 in the Zacapu Basin, resulting in the formation of a large urban system. Compared to prior population estimates and interpretations regarding the urban structure of the Zacapu Malpaís sites, the integration of these datasets enables both an increased scale of analysis and finer resolution, thus providing a clearer picture of one of the earliest episodes of urbanization in west Mexico.
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.
A brief overview and description of the atmospheric lidar measurement technique is followed by the structure of the atmosphere in terms of the troposphere, stratosphere, and mesosphere, as it is usually presented in atmospheric science and meteorology. The atmosphere is then described in terms of lidar observables at all altitudes, including water vapor; trace gases; clouds; several other kinds of particulate matter; and metal atoms, as well as density, temperature, and winds. Examples of lidar measurements include tropospheric and stratospheric ozone, greenhouse gases, other pollutants, tropospheric and stratospheric aerosols, polar stratospheric clouds, and atoms of sodium, potassium, calcium, and iron in the mesosphere. Finally, the structure and contents of the book are described, and suggestions for further reading are given.
Explore the spectrum of lidar engineering in this one-of-a-kind introduction. For the first time, this multidisciplinary resource covers all the scientific and engineering aspects of atmospheric lidar – including atmospheric science, spectroscopy, lasers and eye safety, classical optics and electro-optics, electrical and mechanical engineering, and software algorithms – in a single comprehensive and authoritative book. Discover up-to-date material not included in any other book, including simple treatments of the lidar crossover range and depolarization in lidar signals, an improved explanation of lidar data inversion algorithms, digital signal processing applications in lidar, and statistical limitations of lidar signal-to-noise ratios. This is an ideal standalone text for students seeking a thorough grounding in lidar, whether through a taught course or self-study.
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.
The authors present the results of a drone-based airborne LiDAR survey of the fifth century AD Tsukuriyama mounded tomb group in Okayama Prefecture, Japan, revealing the relationship between tomb building and the surrounding landscape during Japan's period of ancient state formation.
This article examines the urban layout and development of the ancient city of Angamuco (AD 250–1530)—a populated urban center located within the core area of the Purépecha Empire in Michoacán, Mexico—through the lens of its complex road network. Image and network analysis of lidar datasets revealed more than 3,000 roads distributed throughout the site, identified the main patterns of road arrangement, and documented variable accessibility within the city. After presenting a summary of these results, I propose that road networks are fundamental components of urban centers that can help reveal social configurations, local interactions, and models of governance. The study of the road network at the site of Angamuco suggests that this city developed organically without the strong influence of political hierarchy a few centuries prior to the formation of the Purépecha Empire. Angamuco inhabitants organized and negotiated space and settlement within their immediate community and had access to virtually all areas of the city.
In this chapter we present examples of earthquake-induced geomorphology in Northern Europe ranging from the readily visible surface expression to more subtle and complex landforms.
Stress changes in the subsurface created by loading and unloading of the ice sheets can result in reactivation of deep-seated faults. Glacially induced faulting can happen during the glaciation in a proglacial or subglacial setting, in a distal setting away from the ice margin or in a postglacial setting after the ice sheet has melted away. Thus, the timing and the location of the tectonic event is important for the resulting landform creation or landform change. Identification of earthquake-induced landforms can be used in interpretations of palaeoseismic events, for location of previously unrecognized fault zones and in evaluations of the likelihood of future seismic events. Interpretations of earthquake-induced landforms in and around former glaciated areas can therefore add important information to interpretations of both the Quaternary geology and the deep structural framework.