Articles | Volume 11, issue 2
https://doi.org/10.5194/gi-11-247-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-11-247-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
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02 Aug 2022
Research article | Highlight paper |
| 02 Aug 2022
| 02 Aug 2022
MOLISENS: MObile LIdar SENsor System to exploit the potential of small industrial lidar devices for geoscientific applications
Thomas Goelles
CORRESPONDING AUTHOR
Virtual Vehicle Research GmbH, Inffeldgasse 21a, 8010 Graz, Austria
Department of Geography and Regional Sciences, University of Graz, Heinrichstraße 36, 8010 Graz, Austria
Tobias Hammer
CORRESPONDING AUTHOR
Department of Geography and Regional Sciences, University of Graz, Heinrichstraße 36, 8010 Graz, Austria
Virtual Vehicle Research GmbH, Inffeldgasse 21a, 8010 Graz, Austria
Institute of Automation and Control, Graz University of Technology, Inffeldgasse 21b, 8010 Graz, Austria
Stefan Muckenhuber
CORRESPONDING AUTHOR
Department of Geography and Regional Sciences, University of Graz, Heinrichstraße 36, 8010 Graz, Austria
Virtual Vehicle Research GmbH, Inffeldgasse 21a, 8010 Graz, Austria
Virtual Vehicle Research GmbH, Inffeldgasse 21a, 8010 Graz, Austria
Institute of Automation and Control, Graz University of Technology, Inffeldgasse 21b, 8010 Graz, Austria
Jakob Abermann
Department of Geography and Regional Sciences, University of Graz, Heinrichstraße 36, 8010 Graz, Austria
Christian Bauer
Department of Geography and Regional Sciences, University of Graz, Heinrichstraße 36, 8010 Graz, Austria
Víctor J. Expósito Jiménez
Virtual Vehicle Research GmbH, Inffeldgasse 21a, 8010 Graz, Austria
Wolfgang Schöner
Department of Geography and Regional Sciences, University of Graz, Heinrichstraße 36, 8010 Graz, Austria
Markus Schratter
Virtual Vehicle Research GmbH, Inffeldgasse 21a, 8010 Graz, Austria
Benjamin Schrei
Department of Geography and Regional Sciences, University of Graz, Heinrichstraße 36, 8010 Graz, Austria
Kim Senger
Arctic Geology Department, University Centre in Svalbard, P.O. Box 156, 9171 Longyearbyen, Norway
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Kim Senger, Grace Shephard, Fenna Ammerlaan, Owen Anfinson, Pascal Audet, Bernard Coakley, Victoria Ershova, Jan Inge Faleide, Sten-Andreas Grundvåg, Rafael Kenji Horota, Karthik Iyer, Julian Janocha, Morgan Jones, Alexander Minakov, Margaret Odlum, Anna M. R. Sartell, Andrew Schaeffer, Daniel Stockli, Marie A. Vander Kloet, and Carmen Gaina
Geosci. Commun. Discuss., https://doi.org/10.5194/gc-2024-3, https://doi.org/10.5194/gc-2024-3, 2024
Preprint under review for GC
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The article describes a course that we have developed at the University Centre in Svalbard that covers many aspects of Arctic Geology. The students experience this from a wide range of lecturers, focussing both on the small and larger scales, and covering many geoscientific disciplines.
Florian Lippl, Alexander Maringer, Margit Kurka, Jakob Abermann, Wolfgang Schöner, and Manuela Hirschmugl
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-12, https://doi.org/10.5194/essd-2024-12, 2024
Preprint withdrawn
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The aim of our work was to give an overview of data currently available for the National Park Gesäuse and Johnsbachtal relevant to the European long-term ecosystem monitoring. This data, further was made available on respective data repositories, where all data is downloadable free of charge. Data presented in our paper is from all compartments, the atmosphere, social & economic sphere, biosphere and geosphere. We consider our approach as an opportunity to function as a showcase for other sites.
Maral Habibi, Iman Babaeian, and Wolfgang Schöner
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-48, https://doi.org/10.5194/hess-2024-48, 2024
Preprint under review for HESS
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Our study investigates how snow melting affects droughts in Iran's Urmia Lake Basin, revealing that future droughts will likely become more severe due to reduced snowmelt and increased evaporation. This is crucial for understanding water availability in the region, affecting millions. We used advanced climate models and drought indices to predict changes, aiming to inform water management strategies.
Peter Betlem, Thomas Birchall, Gareth Lord, Simon Oldfield, Lise Nakken, Kei Ogata, and Kim Senger
Earth Syst. Sci. Data, 16, 985–1006, https://doi.org/10.5194/essd-16-985-2024, https://doi.org/10.5194/essd-16-985-2024, 2024
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We present the digitalisation (i.e. textured outcrop and terrain models) of the Agardhfjellet Fm. cliffs exposed in Konusdalen West, Svalbard, which forms the seal of a carbon capture site in Longyearbyen, where several boreholes cover the exposed interval. Outcrop data feature centimetre-scale accuracies and a maximum resolution of 8 mm and have been correlated with the boreholes through structural–stratigraphic annotations that form the basis of various numerical modelling scenarios.
Baptiste Vandecrux, Robert S. Fausto, Jason E. Box, Federico Covi, Regine Hock, Åsa K. Rennermalm, Achim Heilig, Jakob Abermann, Dirk van As, Elisa Bjerre, Xavier Fettweis, Paul C. J. P. Smeets, Peter Kuipers Munneke, Michiel R. van den Broeke, Max Brils, Peter L. Langen, Ruth Mottram, and Andreas P. Ahlstrøm
The Cryosphere, 18, 609–631, https://doi.org/10.5194/tc-18-609-2024, https://doi.org/10.5194/tc-18-609-2024, 2024
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How fast is the Greenland ice sheet warming? In this study, we compiled 4500+ temperature measurements at 10 m below the ice sheet surface (T10m) from 1912 to 2022. We trained a machine learning model on these data and reconstructed T10m for the ice sheet during 1950–2022. After a slight cooling during 1950–1985, the ice sheet warmed at a rate of 0.7 °C per decade until 2022. Climate models showed mixed results compared to our observations and underestimated the warming in key regions.
Kim Senger, Denise Kulhanek, Morgan T. Jones, Aleksandra Smyrak-Sikora, Sverre Planke, Valentin Zuchuat, William J. Foster, Sten-Andreas Grundvåg, Henning Lorenz, Micha Ruhl, Kasia K. Sliwinska, Madeleine L. Vickers, and Weimu Xu
Sci. Dril., 32, 113–135, https://doi.org/10.5194/sd-32-113-2023, https://doi.org/10.5194/sd-32-113-2023, 2023
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Geologists can decipher the past climates and thus better understand how future climate change may affect the Earth's complex systems. In this paper, we report on a workshop held in Longyearbyen, Svalbard, to better understand how rocks in Svalbard (an Arctic archipelago) can be used to quantify major climatic shifts recorded in the past.
Bernhard Hynek, Daniel Binder, Michele Citterio, Signe Hillerup Larsen, Jakob Abermann, Geert Verhoeven, Elke Ludewig, and Wolfgang Schöner
The Cryosphere Discuss., https://doi.org/10.5194/tc-2023-157, https://doi.org/10.5194/tc-2023-157, 2023
Revised manuscript has not been submitted
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A strong avalanche event in winter 2018 caused thick snow deposits on Freya Glacier, a mountain glacier in Northeast Greenland. The avalanche deposits led to positive elevation changes during the study period 2013–2021 and altered the mass balance of the glacier significantly. The eight year mass balance was positive, it would have been negative without avalanches. The contribution from snow avalanches might become more important with rising temperatures in the Arctic.
Sonika Shahi, Jakob Abermann, Tiago Silva, Kirsty Langley, Signe Hillerup Larsen, Mikhail Mastepanov, and Wolfgang Schöner
Weather Clim. Dynam., 4, 747–771, https://doi.org/10.5194/wcd-4-747-2023, https://doi.org/10.5194/wcd-4-747-2023, 2023
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This study highlights how the sea ice variability in the Greenland Sea affects the terrestrial climate and the surface mass changes of peripheral glaciers of the Zackenberg region (ZR), Northeast Greenland, combining model output and observations. Our results show that the temporal evolution of sea ice influences the climate anomaly magnitude in the ZR. We also found that the changing temperature and precipitation patterns due to sea ice variability can affect the surface mass of the ice cap.
Klaus Haslinger, Wolfgang Schöner, Jakob Abermann, Gregor Laaha, Konrad Andre, Marc Olefs, and Roland Koch
Nat. Hazards Earth Syst. Sci., 23, 2749–2768, https://doi.org/10.5194/nhess-23-2749-2023, https://doi.org/10.5194/nhess-23-2749-2023, 2023
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Future changes of surface water availability in Austria are investigated. Alterations of the climatic water balance and its components are analysed along different levels of elevation. Results indicate in general wetter conditions with particular shifts in timing of the snow melt season. On the contrary, an increasing risk for summer droughts is apparent due to increasing year-to-year variability and decreasing snow melt under future climate conditions.
Christoph Posch, Jakob Abermann, and Tiago Manuel Ferreira da Silva
EGUsphere, https://doi.org/10.5194/egusphere-2023-1762, https://doi.org/10.5194/egusphere-2023-1762, 2023
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Radar beams from satellites exhibit different reflection behaviors between water and ice. Utilizing this conditions and the comprehensive coverage and high temporal resolution of the Sentinel-1 radar satellite mission, the timing when ice cover of lakes in Greenland disappear can be automatically detected. We found that per 100 m elevation gain, lake ice breaks up 3 days later because of lower air temperatures with increasing elevation, while latitude has no influence on their break-up timing.
Moritz Buchmann, Gernot Resch, Michael Begert, Stefan Brönnimann, Barbara Chimani, Wolfgang Schöner, and Christoph Marty
The Cryosphere, 17, 653–671, https://doi.org/10.5194/tc-17-653-2023, https://doi.org/10.5194/tc-17-653-2023, 2023
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Our current knowledge of spatial and temporal snow depth trends is based almost exclusively on time series of non-homogenised observational data. However, like other long-term series from observations, they are susceptible to inhomogeneities that can affect the trends and even change the sign. To assess the relevance of homogenisation for daily snow depths, we investigated its impact on trends and changes in extreme values of snow indices between 1961 and 2021 in the Swiss observation network.
Tiago Silva, Jakob Abermann, Brice Noël, Sonika Shahi, Willem Jan van de Berg, and Wolfgang Schöner
The Cryosphere, 16, 3375–3391, https://doi.org/10.5194/tc-16-3375-2022, https://doi.org/10.5194/tc-16-3375-2022, 2022
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To overcome internal climate variability, this study uses k-means clustering to combine NAO, GBI and IWV over the Greenland Ice Sheet (GrIS) and names the approach as the North Atlantic influence on Greenland (NAG). With the support of a polar-adapted RCM, spatio-temporal changes on SEB components within NAG phases are investigated. We report atmospheric warming and moistening across all NAG phases as well as large-scale and regional-scale contributions to GrIS mass loss and their interactions.
Jonathan P. Conway, Jakob Abermann, Liss M. Andreassen, Mohd Farooq Azam, Nicolas J. Cullen, Noel Fitzpatrick, Rianne H. Giesen, Kirsty Langley, Shelley MacDonell, Thomas Mölg, Valentina Radić, Carleen H. Reijmer, and Jean-Emmanuel Sicart
The Cryosphere, 16, 3331–3356, https://doi.org/10.5194/tc-16-3331-2022, https://doi.org/10.5194/tc-16-3331-2022, 2022
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We used data from automatic weather stations on 16 glaciers to show how clouds influence glacier melt in different climates around the world. We found surface melt was always more frequent when it was cloudy but was not universally faster or slower than under clear-sky conditions. Also, air temperature was related to clouds in opposite ways in different climates – warmer with clouds in cold climates and vice versa. These results will help us improve how we model past and future glacier melt.
Moritz Buchmann, John Coll, Johannes Aschauer, Michael Begert, Stefan Brönnimann, Barbara Chimani, Gernot Resch, Wolfgang Schöner, and Christoph Marty
The Cryosphere, 16, 2147–2161, https://doi.org/10.5194/tc-16-2147-2022, https://doi.org/10.5194/tc-16-2147-2022, 2022
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Knowledge about inhomogeneities in a data set is important for any subsequent climatological analysis. We ran three well-established homogenization methods and compared the identified break points. By only treating breaks as valid when detected by at least two out of three methods, we enhanced the robustness of our results. We found 45 breaks within 42 of 184 investigated series; of these 70 % could be explained by events recorded in the station history.
Kim Senger, Peter Betlem, Sten-Andreas Grundvåg, Rafael Kenji Horota, Simon John Buckley, Aleksandra Smyrak-Sikora, Malte Michel Jochmann, Thomas Birchall, Julian Janocha, Kei Ogata, Lilith Kuckero, Rakul Maria Johannessen, Isabelle Lecomte, Sara Mollie Cohen, and Snorre Olaussen
Geosci. Commun., 4, 399–420, https://doi.org/10.5194/gc-4-399-2021, https://doi.org/10.5194/gc-4-399-2021, 2021
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At UNIS, located at 78° N in Longyearbyen in Arctic Norway, we use digital outcrop models (DOMs) actively in a new course (
AG222 Integrated Geological Methods: From Outcrop To Geomodel) to solve authentic geoscientific challenges. DOMs are shared through the open-access Svalbox geoscientific portal, along with 360° imagery, subsurface data and published geoscientific data from Svalbard. Here we share experiences from the AG222 course and Svalbox, both before and during the Covid-19 pandemic.
Thomas Birchall, Malte Jochmann, Peter Betlem, Kim Senger, Andrew Hodson, and Snorre Olaussen
The Cryosphere Discuss., https://doi.org/10.5194/tc-2021-226, https://doi.org/10.5194/tc-2021-226, 2021
Preprint withdrawn
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Svalbard has over a century of drilling history, though this historical data is largely overlooked nowadays. After inspecting this data, stored in local archives, we noticed the surprisingly common phenomenon of gas trapped below the permafrost. Methane is a potent greenhouse gas, and the Arctic is warming at unprecedented rates. The permafrost is the last barrier preventing this gas from escaping into the atmosphere and if it thaws it risks a feedback effect to the already warming climate.
Michael Matiu, Alice Crespi, Giacomo Bertoldi, Carlo Maria Carmagnola, Christoph Marty, Samuel Morin, Wolfgang Schöner, Daniele Cat Berro, Gabriele Chiogna, Ludovica De Gregorio, Sven Kotlarski, Bruno Majone, Gernot Resch, Silvia Terzago, Mauro Valt, Walter Beozzo, Paola Cianfarra, Isabelle Gouttevin, Giorgia Marcolini, Claudia Notarnicola, Marcello Petitta, Simon C. Scherrer, Ulrich Strasser, Michael Winkler, Marc Zebisch, Andrea Cicogna, Roberto Cremonini, Andrea Debernardi, Mattia Faletto, Mauro Gaddo, Lorenzo Giovannini, Luca Mercalli, Jean-Michel Soubeyroux, Andrea Sušnik, Alberto Trenti, Stefano Urbani, and Viktor Weilguni
The Cryosphere, 15, 1343–1382, https://doi.org/10.5194/tc-15-1343-2021, https://doi.org/10.5194/tc-15-1343-2021, 2021
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The first Alpine-wide assessment of station snow depth has been enabled by a collaborative effort of the research community which involves more than 30 partners, 6 countries, and more than 2000 stations. It shows how snow in the European Alps matches the climatic zones and gives a robust estimate of observed changes: stronger decreases in the snow season at low elevations and in spring at all elevations, however, with considerable regional differences.
Mikkel Toft Hornum, Andrew Jonathan Hodson, Søren Jessen, Victor Bense, and Kim Senger
The Cryosphere, 14, 4627–4651, https://doi.org/10.5194/tc-14-4627-2020, https://doi.org/10.5194/tc-14-4627-2020, 2020
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In Arctic fjord valleys, considerable amounts of methane may be stored below the permafrost and escape directly to the atmosphere through springs. A new conceptual model of how such springs form and persist is presented and confirmed by numerical modelling experiments: in uplifted Arctic valleys, freezing pressure induced at the permafrost base can drive the flow of groundwater to the surface through vents in frozen ground. This deserves attention as an emission pathway for greenhouse gasses.
Andrew J. Hodson, Aga Nowak, Mikkel T. Hornum, Kim Senger, Kelly Redeker, Hanne H. Christiansen, Søren Jessen, Peter Betlem, Steve F. Thornton, Alexandra V. Turchyn, Snorre Olaussen, and Alina Marca
The Cryosphere, 14, 3829–3842, https://doi.org/10.5194/tc-14-3829-2020, https://doi.org/10.5194/tc-14-3829-2020, 2020
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Methane stored below permafrost is an unknown quantity in the Arctic greenhouse gas budget. In coastal areas with rising sea levels, much of the methane seeps into the sea and is removed before it reaches the atmosphere. However, where land uplift outpaces rising sea levels, the former seabed freezes, pressurising methane-rich groundwater beneath, which then escapes via permafrost seepages called pingos. We describe this mechanism and the origins of the methane discharging from Svalbard pingos.
Kristyna Falatkova, Miroslav Šobr, Anton Neureiter, Wolfgang Schöner, Bohumír Janský, Hermann Häusler, Zbyněk Engel, and Vojtěch Beneš
Earth Surf. Dynam., 7, 301–320, https://doi.org/10.5194/esurf-7-301-2019, https://doi.org/10.5194/esurf-7-301-2019, 2019
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In the last 50 years the Adygine glacier has been subject to relatively fast recession comparable to other glaciers in Tien Shan. As a consequence, a three-level cascade of glacial lakes formed, two of which were categorised as having medium outburst susceptibility. By 2050, the glacier is expected to have shrunk to 56–73 % of its 2012 extent. Further development of the site will result in formation of new lakes and probably also increase of outburst susceptibility due to permafrost degradation.
Stefan Muckenhuber and Stein Sandven
The Cryosphere, 11, 1835–1850, https://doi.org/10.5194/tc-11-1835-2017, https://doi.org/10.5194/tc-11-1835-2017, 2017
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Sea ice drift has a strong impact on sea ice distribution on different temporal and spatial scales. An open-source sea ice drift algorithm for Sentinel-1 satellite imagery is introduced based on the combination of feature tracking and pattern matching. The algorithm is designed to utilise the respective advantages of the two approaches and allows drift calculation at user-defined locations.
Natalia Zakhvatkina, Anton Korosov, Stefan Muckenhuber, Stein Sandven, and Mohamed Babiker
The Cryosphere, 11, 33–46, https://doi.org/10.5194/tc-11-33-2017, https://doi.org/10.5194/tc-11-33-2017, 2017
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The presented fully automated algorithm distinguishes open water (rough/calm) and sea ice based on dual-polarized RS2 SAR images. Texture features are used for Support Vector Machines supervised image classification. The algorithm includes pre-processing and validation procedures. More than 2700 scenes were processed and the results show the good discrimination between open water and sea ice areas with accuracy 91 % compared with ice charts produced by MET Norway service.
Gregor Laaha, Juraj Parajka, Alberto Viglione, Daniel Koffler, Klaus Haslinger, Wolfgang Schöner, Judith Zehetgruber, and Günter Blöschl
Hydrol. Earth Syst. Sci., 20, 3967–3985, https://doi.org/10.5194/hess-20-3967-2016, https://doi.org/10.5194/hess-20-3967-2016, 2016
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We present a framework for assessing climate impacts on future low flows that combines different sources of information termed pillars. To illustrate the framework, three pillars are chosen: low-flow observation, climate observations and climate projections. By combining different sources of information we aim at more robust projections than obtained from each pillar alone. The viability of the framework is illustrated for four example catchments from Austria.
Juraj Parajka, Alfred Paul Blaschke, Günter Blöschl, Klaus Haslinger, Gerold Hepp, Gregor Laaha, Wolfgang Schöner, Helene Trautvetter, Alberto Viglione, and Matthias Zessner
Hydrol. Earth Syst. Sci., 20, 2085–2101, https://doi.org/10.5194/hess-20-2085-2016, https://doi.org/10.5194/hess-20-2085-2016, 2016
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Streamflow estimation during low-flow conditions is important for estimation of environmental flows, effluent water quality, hydropower operations, etc. However, it is not clear how the uncertainties in assumptions used in the projections translate into uncertainty of estimated future low flows. The objective of the study is to explore the relative role of hydrologic model calibration and climate scenarios in the uncertainty of low-flow projections in Austria.
Ursula Weiser, Marc Olefs, Wolfgang Schöner, Gernot Weyss, and Bernhard Hynek
The Cryosphere, 10, 775–790, https://doi.org/10.5194/tc-10-775-2016, https://doi.org/10.5194/tc-10-775-2016, 2016
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Geometric effects induced by tilt errors lead to erroneous measurement of snow albedo. These errors are corrected where tilts of sensors and slopes are unknown. Atmospheric parameters are taken from a nearby reference measurement or a radiation model. The developed model is fitted to the measured data to determine tilts and directions which vary daily due to changing atmospheric conditions and snow cover. The results show an obvious under- or overestimation of albedo depending on the slope direction.
Marc Olefs, Dietmar J. Baumgartner, Friedrich Obleitner, Christoph Bichler, Ulrich Foelsche, Helga Pietsch, Harald E. Rieder, Philipp Weihs, Florian Geyer, Thomas Haiden, and Wolfgang Schöner
Atmos. Meas. Tech., 9, 1513–1531, https://doi.org/10.5194/amt-9-1513-2016, https://doi.org/10.5194/amt-9-1513-2016, 2016
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We present the Austrian RADiation monitoring network (ARAD) that has been established to advance national climate monitoring and to support satellite retrieval, atmospheric modeling and solar energy techniques' development. Measurements cover the downwelling solar and thermal infrared radiation using instruments according to Baseline Surface Radiation Network (BSRN) standards. The paper outlines the aims and scopes of ARAD, its measurement and calibration standards, methods and strategies.
S. Muckenhuber, F. Nilsen, A. Korosov, and S. Sandven
The Cryosphere, 10, 149–158, https://doi.org/10.5194/tc-10-149-2016, https://doi.org/10.5194/tc-10-149-2016, 2016
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Sea ice conditions in two fjords of Spitsbergen (Isfjorden, Hornsund) have been investigated between 2000-2014 using manual interpretation of 16555 satellite images. The result is two time series dividing the fjord area into "fast ice", "drift ice", and "open water". A significant reduction of fast ice coverage has been found comparing the time periods 2000-2005 and 2006-2014. A new concept, called "days of fast ice coverage" (DFI), is introduced for quantification of fast ice cover.
Related subject area
Lidar
Collaborative development of the Lidar Processing Pipeline (LPP) for retrievals of atmospheric aerosols and clouds
Architecture of solution for panoramic image blurring in GIS project application
Dense point cloud acquisition with a low-cost Velodyne VLP-16
Juan Vicente Pallotta, Silvânia Alves de Carvalho, Fabio Juliano da Silva Lopes, Alexandre Cacheffo, Eduardo Landulfo, and Henrique Melo Jorge Barbosa
Geosci. Instrum. Method. Data Syst., 12, 171–185, https://doi.org/10.5194/gi-12-171-2023, https://doi.org/10.5194/gi-12-171-2023, 2023
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Lidar networks coordinate efforts of different groups, providing guidelines to homogenize retrievals from different instruments. We describe an ongoing effort to develop the Lidar Processing Pipeline (LPP) collaboratively, a collection of tools developed in C/C++ to handle all the steps of a typical lidar analysis. Analysis of simulations and real lidar data showcases the LPP’s features. From this exercise, we draw a roadmap to guide future development, accommodating the needs of our community.
Dejan Vasić, Marina Davidović, Ivan Radosavljević, and Đorđe Obradović
Geosci. Instrum. Method. Data Syst., 10, 287–296, https://doi.org/10.5194/gi-10-287-2021, https://doi.org/10.5194/gi-10-287-2021, 2021
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The objective of this paper is to present a new architecture of a solution for object detecting and blurring. Our algorithm is tested on four data sets of panorama images. The percentage of accuracy, i.e., the successfully detected objects of interest, is higher than 97 % for each data set. The proposed algorithm has a wide application for images of different types, surveyed with various purposes, and also for the detection of different types of objects.
Jason Bula, Marc-Henri Derron, and Gregoire Mariethoz
Geosci. Instrum. Method. Data Syst., 9, 385–396, https://doi.org/10.5194/gi-9-385-2020, https://doi.org/10.5194/gi-9-385-2020, 2020
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We developed a method to acquire dense point clouds with a low-cost Velodyne Puck lidar system, without using expensive Global Navigation Satellite System (GNSS) positioning or IMU. We mounted the lidar on a motor to continuously change the scan direction, leading to a significant increase in the point cloud density. The system was compared with a more expensive system based on IMU registration and a SLAM algorithm. The alignment between acquisitions with those two systems is within 2 m.
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Executive editor
Mobile lidar system are innovative sensors that will significantly enhance monitoring of a variety of geoscience phenomena. This manuscript provides promising results for a scientific and operational standpoint.
Mobile lidar system are innovative sensors that will significantly enhance monitoring of a...
Short summary
We propose a newly developed modular MObile LIdar SENsor System (MOLISENS) to enable new applications for small industrial light detection and ranging (lidar) sensors. MOLISENS supports both monitoring of dynamic processes and mobile mapping applications. The mobile mapping application of MOLISENS has been tested under various conditions, and results are shown from two surveys in the Lurgrotte cave system in Austria and a glacier cave in Longyearbreen on Svalbard.
We propose a newly developed modular MObile LIdar SENsor System (MOLISENS) to enable new...
