Searched for: author%3A%22Lindenbergh%2C+R.C.%22
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Narin, O.G. (author), Abdikan, Saygin (author), Gullu, Mevlut (author), Lindenbergh, R.C. (author), Balik Sanli, Fusun (author), Yilmaz, Ibrahim (author)
Open source Global Digital Elevation Models (GDEMs) serve as an important base for studies in geosciences. However, these models contain vertical errors due to various reasons. In this study, data from two Satellite LiDAR altimetry systems, GEDI and ICESat-2, were used to improve the vertical accuracy of GDEMs. Three different machine learning...
journal article 2024
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Dahle, F. (author), Lindenbergh, R.C. (author), Wouters, B. (author)
The TriMetrogon Aerial (TMA) archive is an archive of historical images of Antarctica taken by the US Navy between 1940 and 2000 with analogue cameras. The analysis of such historic data can give a view of Antarctica's glaciers predating modern satellite imagery and provide unique insights into the long-term impact of changing climate...
journal article 2024
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Gutierrez, Ivan (author), Lindenbergh, R.C. (author), Watson, Lisa (author), Shelton, Kim (author)
Detailed 3D information on vulnerable archaeological sites can document cultural heritage and contribute to its preservation. The Late Bronze Age Mycenaean cemetery of Aidonia, Greece, is a representative case of a vulnerable site. Tomb looting has occurred sporadically since the 1970s, when the Greek government was made aware of the site....
journal article 2024
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van Natijne, A.L. (author), Bogaard, T.A. (author), Zieher, Thomas (author), Pfeiffer, Jan (author), Lindenbergh, R.C. (author)
Landslides are one of the major weather-related geohazards. To assess their potential impact and design mitigation solutions, a detailed understanding of the slope processes is required. Landslide modelling is typically based on data-rich geomechanical models. Recently, machine learning has shown promising results in modelling a variety of...
journal article 2023
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Lindenbergh, R.C. (author), Cserép, Máté (author)
The evolution and spreading of data capturing methods ranging from simple GPS devices like smart-phones to large scale imaging equipment – including very high resolution and hyperspectral cameras and LiDAR – resulted in an exponential growth in the amount of spatial data maintained by companies and organizations. At the same time methods for...
journal article 2023
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Barbero García, I. (author), Kuschnerus, M. (author), Vos, S.E. (author), Lindenbergh, R.C. (author)
Sandy beaches are subject to changes due to multiple factors, that are both natural (e.g. storms) and anthropogenic. Great efforts are being made to monitor these ecosystems and understand their dynamics in order to assure their conservation. The identification of anthropogenic changes and its differentiation from natural ones is an important...
journal article 2023
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Kuschnerus, M. (author), Lindenbergh, R.C. (author), Vos, S.E. (author), Hanssen, R.F. (author)
In the view of climate change, understanding and managing effects on coastal areas and adjacent cities is essential. Permanent Laser Scanning (PLS) is a successful technique to not only observe notably sandy coasts incidentally or once every year, but (nearly) continuously over extended periods of time. The collected point cloud observations...
journal article 2023
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Dabrowski, Pawel S. (author), Zienkiewicz, Marek Hubert (author), Truong-Hong, Linh (author), Lindenbergh, R.C. (author)
Church towers are key cultural heritage. In theory, towers are vertical, while facade elements are symmetrically positioned around the tower axis. However, during service of a structure, building and lifetime conditions cause deviations, with associated risks. Laser scanning point clouds can be used to assess the structural state but a...
journal article 2023
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Narin, O.G. (author), Lindenbergh, R.C. (author), Abdikan, S. (author)
Global Ecosystem Dynamics Investigate (GEDI) is a spaceborne laser altimeter system used for earth observation in many areas such as forest canopy, water level and terrain height estimation. GEDI data is affected by atmospheric effects due to the sensor used while observing. In this study, we propose a 7-step, multi-variable strategy for...
conference paper 2023
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di Biase, V. (author), Kuschnerus, M. (author), Lindenbergh, R.C. (author)
In recent years, our knowledge of coastal environments has been enriched by remotely sensed data. In this research, we co-analyse two sensor systems: Terrestrial Laser Scanning (TLS) and satellite-based Synthetic Aperture Radar (SAR). To successfully extract information from a combination of different sensors systems, it should be understood how...
journal article 2022
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Kathmann, H.S. (author), van Natijne, A.L. (author), Lindenbergh, R.C. (author)
Monitoring the status of the vegetation is required for nature conservation. This monitoring task is time consuming as kilometers of area have to be investigated and classified. To make this task more manageable, remote sensing is used. The acquisition of airplane remote sensing data is dependent on weather conditions and permission to fly in...
journal article 2022
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Foroughnia, Fatemeh (author), Alfieri, S.M. (author), Menenti, M. (author), Lindenbergh, R.C. (author)
Precise and accurate delineation of flooding areas with synthetic aperture radar (SAR) and multi-spectral (MS) data is challenging because flooded areas are inherently heterogeneous as emergent vegetation (EV) and turbid water (TW) are common. We addressed these challenges by developing and applying a new stepwise sequence of unsupervised and...
journal article 2022
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van Natijne, A.L. (author), Bogaard, T.A. (author), van Leijen, F.J. (author), Hanssen, R.F. (author), Lindenbergh, R.C. (author)
Landslides are a major geohazard in hilly and mountainous environments. In-situ inspection of downslope motion is costly, sometimes dangerous and, requires prior knowledge of the existence of a landslide. Remote sensing from space is a way to detect and characterize landslides systematically at large scale. Interferometric Synthetic Aperture...
journal article 2022
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Truong-Hong, Linh (author), Lindenbergh, R.C. (author), Vermeij, M. J. (author)
Current mobile systems are capable of efficiently acquiring dense urban point clouds. Still, operational use of such data is hampered by the lack of efficient object extraction methodology. Notably methodology is lacking for automatically extracting objects that do not belong to the road furniture like street signs and light poles but do...
journal article 2022
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Hulskemper, D. (author), Anders, K. (author), Antolínez, José A. Á. (author), Kuschnerus, M. (author), Höfle, B. (author), Lindenbergh, R.C. (author)
The Earth's landscapes are shaped by processes eroding, transporting and depositing material over various timespans and spatial scales. To understand these surface activities and mitigate potential hazards they inflict (e.g., the landward movement of a shoreline), knowledge is needed on the occurrences and impact of these activities. Near...
journal article 2022
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Meinderts, J. P. (author), Lindenbergh, R.C. (author), Van Der Heide, D. H. (author), Amiri Simkooei, A. (author), Truong-Hong, Linh (author)
This paper introduces a method to automatically estimate vertical and horizontal clearances of highway viaducts and gantries from Mobile Laser Scanner (MLS) point clouds. It is essential to have accurate data on the vertical and horizontal clearances of overhead infrastructure objects along the highway. Accurate clearance data is used for...
journal article 2022
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Truong-Hong, Linh (author), Lindenbergh, R.C. (author)
Three-dimensional (3D) geometric bridge models play an important role in bridge inspection, assessment, and management. Laser scanning nowadays offers a cost-efficient method to capture dense, accurate 3D topographic data of surfaces of the bridge. However, given the typical complexity of bridges, current workflows using commercial software...
journal article 2022
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Truong-Hong, Linh (author), Lindenbergh, R.C. (author)
In construction projects, inspection of structural components mostly relies on classical measurements obtained by measuring tapes, levelling, or total stations. With those methods, only a few points on the structure can be measured, and the resulting inspection may not fully reflect the actual, detailed condition of the complete object. Laser...
journal article 2022
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Vos, S.E. (author), Anders, Katharina (author), Kuschnerus, M. (author), Lindenbergh, R.C. (author), Höfle, Bernhard (author), Aarninkhof, S.G.J. (author), de Vries, S. (author)
Sandy coasts form the interface between land and sea and their morphologies are highly dynamic. A combination of human and natural forcing results in morphologic changes affecting both nature values and coastal safety. Terrestrial laser scanning (TLS) is a technique enabling near-continuous monitoring of the changing morphology of a sandy...
journal article 2022
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Nurunnabi, A. (author), Teferle, F. N. (author), Laefer, D. F. (author), Lindenbergh, R.C. (author), Hunegnaw, A. (author)
Most deep learning (DL) methods that are not end-to-end use several multi-scale and multi-type hand-crafted features that make the network challenging, more computationally intensive and vulnerable to overfitting. Furthermore, reliance on empirically-based feature dimensionality reduction may lead to misclassification. In contrast, efficient...
journal article 2022
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