Karsten Lambers
Datos Biográficos
| ID | 1344719 |
|---|---|
| NOMBRE | Karsten Lambers |
| NOMBRES | Karsten |
| APELLIDO | Lambers |
| FIRMA | LAMBERS K |
| AFILIACIONES | Leiden University |
| ORCID | 0000-0001-6432-0925 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 16 |
| TOTAL DE CITAS | 64 |
| TOTAL COMO AUTOR | 16 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2007 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 4 |
Author response of
A recommendation of: Ronald M. Visser, Karsten Lambers, Kenneth Aitchison, Annemarie Jutte, Doug Rocks-Macqueen, Laura van der Knaap, Iza Romanowska, Tom Brughmans, Jeroen Linssen, Adam Pažout Lessons learned: creating tutorials to teach agent-based modelling to archaeologists https://doi.org/10.5281/zenodo.15705862
Lessons Learned
Agent-based modelling (ABM) is one of the most widely applied computational modelling research techniques in archaeology, because it is well suited to the questions asked by archaeologists. However, the access to vocational training for ABM is limited. In this paper we present the Open Educational Resources (OER) that we produced in an international cooperation. For this purpose, we created online and open tutorials for ABM for archaeologists. In…
Assessing the quality of citizen science in archaeological remote sensing
Volunteers are a key part of the archaeological labour force and, with the growth of digital datasets, these citizen scientists represent a vast pool of interpretive potential; yet, concerns remain about the quality and reliability of crowd-sourced data. This article evaluates the classification of prehistoric barrows on lidar images of the central Netherlands by thousands of volunteers on the Heritage Quest project. In analysing inter-user agree…
Mid‐ to Late Holocene landscape dynamics and rural settlement in the uplands of northern Bavaria, Germany
We present results from a systematic interdisciplinary study on (pre‐)historic rural settlement and landscape development in an upland region of northern Bavaria, Germany. The archaeological and geoarchaeological investigations—supported by radiocarbon dating, optically stimulated luminescence dating, and palaeoecological analysis—were performed to (i) identify so far unknown prehistoric rural settlement sites, (ii) determine site‐specific soil e…
Applying automated object detection in archaeological practice
Within archaeological prospection, Deep Learning algorithms are developed to detect objects within large remotely sensed datasets. These approaches are generally tested in an (ideal) experimental setting but have not been applied in different contexts or ‘in the wild’, that is, incorporated in archaeological prospection. This research explores the applicability, knowledge discovery—on both a quantitative and qualitative level—and efficiency gain …
Combining Deep Learning and Location-Based Ranking for Large-Scale Archaeological Prospection of LiDAR Data from The Netherlands
This paper presents WODAN2.0, a workflow using Deep Learning for the automated detection of multiple archaeological object classes in LiDAR data from the Netherlands. WODAN2.0 is developed to rapidly and systematically map archaeology in large and complex datasets. To investigate its practical value, a large, random test dataset—next to a small, non-random dataset—was developed, which better represents the real-world situation of scarce archaeolo…
Integrating Remote Sensing, Machine Learning, and Citizen Science in Dutch Archaeological Prospection
Although the history of automated archaeological object detection in remotely sensed data is short, progress and emerging trends are evident. Among them, the shift from rule-based approaches towards machine learning methods is, at the moment, the cause for high expectations, even though basic problems, such as the lack of suitable archaeological training data are only beginning to be addressed. In a case study in the central Netherlands, we are c…
Learning to Look at LiDAR
Computer-aided methods for the automatic detection of archaeological objects are needed to cope with the ever-growing set of largely digital and easily available remotely sensed data. In this paper, a promising new technique for the automated detection of multiple classes of archaeological objects in LiDAR data is presented. This technique is based on R-CNNs (Regions-based Convolutional Neural Networks). Unlike normal CNNs, which classify the ent…
Digitally Teaching Digital Skills
With the proliferation of online learning, the future of classroom teaching has been called into question. However, the unfaltering popularity of brick-and-mortar courses indicates that direct access to expert knowledge and face-to-face engagements remain key considerations for students. Here we showcase a combination of these two worlds in a Small Private Online Course (SPOC). Compared to Massive Open Online Courses (MOOCs), SPOCs are developed …
User Requirement Solicitation for an Information Retrieval System Applied to Dutch Grey Literature in the Archaeology Domain
In this paper, we present the results of user requirement solicitation for a search system of grey literature in archaeology, specifically Dutch excavation reports. This search system uses Named Entity Recognition and Information Retrieval techniques to create an effective and effortless search experience. Specifically, we used Conditional Random Fields to identify entities, with an average accuracy of 56%. This is a baseline result, and we ident…
Steady transformation of primeval forest into subalpine pasture during the Late Neolithic to Early Bronze Age (2300−1700 BC) in the Silvretta Alps, Switzerland
The question of the origin of Alpine farming and pastoral activities associated with seasonal vertical transhumance and dairy production in the Silvretta Alps (Eastern Switzerland) has recently benefitted from renewed interest. There, pastoral practises began during the Late Neolithic (2300 BC), but alpine dairy farming was directly evidenced so far only since the Late Bronze Age/Early Iron Age (1300–500 BC). The vegetation development, timberlin…
Settlement and Landscape History of the Northern Franconian Jura during the Bronze and Iron Ages
This paper describes the results of initial archaeological and geoarchaeological fieldwork in the Northern Franconian Jura between the cities of Bayreuth and Bamberg. Our research aims at the reconstruction of settlement patterns and strategies of land use during the Metal Ages (Bronze Age and Iron Age) in the catchment area of the river Weismain. The project is designed as a case study for research into the settlement and landscape history of a …
Altares en el desierto
En el presente artículo se exponen los resultados de las excavaciones realizadas en varias estructuras asociadas a sitios con geoglifos, los cuales se localizan en la parte norte de la cuenca del Río Grande, en la provincia de Palpa, departamento de lea. Los geoglifos fueron construidos sobre las laderas y mesetas que se encuentran entre y a lo largo de los valles de los ríos Grande, Palpa y Viseas. Las evidencias documentadas indican que la con…
Neolithic to Bronze Age (4850–3450 cal. BP) fire management of the Alpine Lower Engadine landscape (Switzerland) to establish pastures and cereal fields
Agro-pastoral activities in the past act as environmental legacy and have shaped the current cultural landscape in the European Alps. This study reports about prehistoric fire incidents and their impact on the flora and vegetation near the village of Ardez in the Lower Engadine Valley (Switzerland) since the Late Neolithic Period. Pollen, charcoal particles and non-pollen palynomorphs preserved in the Saglias and Cutüra peat bog stratigraphies we…
Palaeoecological evidence for Mesolithic to Medieval climatic change and anthropogenic impact on the Alpine flora and vegetation of the Silvretta Massif (Switzerland/Austria)
Combining photogrammetry and laser scanning for the recording and modelling of the Late Intermediate Period site of Pinchango Alto, Palpa, Peru
Combining photogrammetry and laser scanning for the recording and modelling of the Late Intermediate Period site of Pinchango Alto, Palpa, Peru
Applying automated object detection in archaeological practice
Within archaeological prospection, Deep Learning algorithms are developed to detect objects within large remotely sensed datasets. These approaches are generally tested in an (ideal) experimental setting but have not been applied in different contexts or ‘in the wild’, that is, incorporated in archaeological prospection. This research explores the applicability, knowledge discovery—on both a quantitative and qualitative level—and efficiency gain …
Altares en el desierto
En el presente artículo se exponen los resultados de las excavaciones realizadas en varias estructuras asociadas a sitios con geoglifos, los cuales se localizan en la parte norte de la cuenca del Río Grande, en la provincia de Palpa, departamento de lea. Los geoglifos fueron construidos sobre las laderas y mesetas que se encuentran entre y a lo largo de los valles de los ríos Grande, Palpa y Viseas. Las evidencias documentadas indican que la con…
Steady transformation of primeval forest into subalpine pasture during the Late Neolithic to Early Bronze Age (2300−1700 BC) in the Silvretta Alps, Switzerland
The question of the origin of Alpine farming and pastoral activities associated with seasonal vertical transhumance and dairy production in the Silvretta Alps (Eastern Switzerland) has recently benefitted from renewed interest. There, pastoral practises began during the Late Neolithic (2300 BC), but alpine dairy farming was directly evidenced so far only since the Late Bronze Age/Early Iron Age (1300–500 BC). The vegetation development, timberlin…
Combining photogrammetry and laser scanning for the recording and modelling of the Late Intermediate Period site of Pinchango Alto, Palpa, Peru
Palaeoecological evidence for Mesolithic to Medieval climatic change and anthropogenic impact on the Alpine flora and vegetation of the Silvretta Massif (Switzerland/Austria)
Neolithic to Bronze Age (4850–3450 cal. BP) fire management of the Alpine Lower Engadine landscape (Switzerland) to establish pastures and cereal fields
Agro-pastoral activities in the past act as environmental legacy and have shaped the current cultural landscape in the European Alps. This study reports about prehistoric fire incidents and their impact on the flora and vegetation near the village of Ardez in the Lower Engadine Valley (Switzerland) since the Late Neolithic Period. Pollen, charcoal particles and non-pollen palynomorphs preserved in the Saglias and Cutüra peat bog stratigraphies we…
Altares en el desierto
En el presente artículo se exponen los resultados de las excavaciones realizadas en varias estructuras asociadas a sitios con geoglifos, los cuales se localizan en la parte norte de la cuenca del Río Grande, en la provincia de Palpa, departamento de lea. Los geoglifos fueron construidos sobre las laderas y mesetas que se encuentran entre y a lo largo de los valles de los ríos Grande, Palpa y Viseas. Las evidencias documentadas indican que la con…
Settlement and Landscape History of the Northern Franconian Jura during the Bronze and Iron Ages
This paper describes the results of initial archaeological and geoarchaeological fieldwork in the Northern Franconian Jura between the cities of Bayreuth and Bamberg. Our research aims at the reconstruction of settlement patterns and strategies of land use during the Metal Ages (Bronze Age and Iron Age) in the catchment area of the river Weismain. The project is designed as a case study for research into the settlement and landscape history of a …
Integrating Remote Sensing, Machine Learning, and Citizen Science in Dutch Archaeological Prospection
Although the history of automated archaeological object detection in remotely sensed data is short, progress and emerging trends are evident. Among them, the shift from rule-based approaches towards machine learning methods is, at the moment, the cause for high expectations, even though basic problems, such as the lack of suitable archaeological training data are only beginning to be addressed. In a case study in the central Netherlands, we are c…
Learning to Look at LiDAR
Computer-aided methods for the automatic detection of archaeological objects are needed to cope with the ever-growing set of largely digital and easily available remotely sensed data. In this paper, a promising new technique for the automated detection of multiple classes of archaeological objects in LiDAR data is presented. This technique is based on R-CNNs (Regions-based Convolutional Neural Networks). Unlike normal CNNs, which classify the ent…
Digitally Teaching Digital Skills
With the proliferation of online learning, the future of classroom teaching has been called into question. However, the unfaltering popularity of brick-and-mortar courses indicates that direct access to expert knowledge and face-to-face engagements remain key considerations for students. Here we showcase a combination of these two worlds in a Small Private Online Course (SPOC). Compared to Massive Open Online Courses (MOOCs), SPOCs are developed …
User Requirement Solicitation for an Information Retrieval System Applied to Dutch Grey Literature in the Archaeology Domain
In this paper, we present the results of user requirement solicitation for a search system of grey literature in archaeology, specifically Dutch excavation reports. This search system uses Named Entity Recognition and Information Retrieval techniques to create an effective and effortless search experience. Specifically, we used Conditional Random Fields to identify entities, with an average accuracy of 56%. This is a baseline result, and we ident…
Steady transformation of primeval forest into subalpine pasture during the Late Neolithic to Early Bronze Age (2300−1700 BC) in the Silvretta Alps, Switzerland
The question of the origin of Alpine farming and pastoral activities associated with seasonal vertical transhumance and dairy production in the Silvretta Alps (Eastern Switzerland) has recently benefitted from renewed interest. There, pastoral practises began during the Late Neolithic (2300 BC), but alpine dairy farming was directly evidenced so far only since the Late Bronze Age/Early Iron Age (1300–500 BC). The vegetation development, timberlin…
Combining Deep Learning and Location-Based Ranking for Large-Scale Archaeological Prospection of LiDAR Data from The Netherlands
This paper presents WODAN2.0, a workflow using Deep Learning for the automated detection of multiple archaeological object classes in LiDAR data from the Netherlands. WODAN2.0 is developed to rapidly and systematically map archaeology in large and complex datasets. To investigate its practical value, a large, random test dataset—next to a small, non-random dataset—was developed, which better represents the real-world situation of scarce archaeolo…
Applying automated object detection in archaeological practice
Within archaeological prospection, Deep Learning algorithms are developed to detect objects within large remotely sensed datasets. These approaches are generally tested in an (ideal) experimental setting but have not been applied in different contexts or ‘in the wild’, that is, incorporated in archaeological prospection. This research explores the applicability, knowledge discovery—on both a quantitative and qualitative level—and efficiency gain …
Mid‐ to Late Holocene landscape dynamics and rural settlement in the uplands of northern Bavaria, Germany
We present results from a systematic interdisciplinary study on (pre‐)historic rural settlement and landscape development in an upland region of northern Bavaria, Germany. The archaeological and geoarchaeological investigations—supported by radiocarbon dating, optically stimulated luminescence dating, and palaeoecological analysis—were performed to (i) identify so far unknown prehistoric rural settlement sites, (ii) determine site‐specific soil e…
Assessing the quality of citizen science in archaeological remote sensing
Volunteers are a key part of the archaeological labour force and, with the growth of digital datasets, these citizen scientists represent a vast pool of interpretive potential; yet, concerns remain about the quality and reliability of crowd-sourced data. This article evaluates the classification of prehistoric barrows on lidar images of the central Netherlands by thousands of volunteers on the Heritage Quest project. In analysing inter-user agree…
Author response of
A recommendation of: Ronald M. Visser, Karsten Lambers, Kenneth Aitchison, Annemarie Jutte, Doug Rocks-Macqueen, Laura van der Knaap, Iza Romanowska, Tom Brughmans, Jeroen Linssen, Adam Pažout Lessons learned: creating tutorials to teach agent-based modelling to archaeologists https://doi.org/10.5281/zenodo.15705862
Lessons Learned
Agent-based modelling (ABM) is one of the most widely applied computational modelling research techniques in archaeology, because it is well suited to the questions asked by archaeologists. However, the access to vocational training for ABM is limited. In this paper we present the Open Educational Resources (OER) that we produced in an international cooperation. For this purpose, we created online and open tutorials for ABM for archaeologists. In…
Archaeology (13 obras) · Geography (13 obras) · Computer Science (7 obras) · 3D Surveying and Cultural Heritage (6 obras) · Archaeological Research and Protection (6 obras) · Remote sensing (6 obras) · Artificial Intelligence (4 obras) · Bronze Age (4 obras) · Conservation Techniques and Studies (4 obras) · Ecology (4 obras)