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
| Highlight paper
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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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Matthew Switanek, Jakob Abermann, Wolfgang Schöner, and Michael L. Anderson
Hydrol. Earth Syst. Sci., 30, 1719–1734, https://doi.org/10.5194/hess-30-1719-2026, https://doi.org/10.5194/hess-30-1719-2026, 2026
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Extreme precipitation is expected to increase in a warming climate. Station-based measurements of precipitation and dew point temperature are often used to estimate observed precipitation-temperature scaling rates. In this study, we use three different approaches which rely on either raw or normalized data to estimate scaling rates and produce predictions of extreme precipitation. We find that normalizing the data first can improve our estimates of precipitation-temperature scaling rates.
Jakob Steiner, Jakob Abermann, and Rainer Prinz
The Cryosphere, 20, 1797–1814, https://doi.org/10.5194/tc-20-1797-2026, https://doi.org/10.5194/tc-20-1797-2026, 2026
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Nearly 95% of the Greenland ice margin ends on land, where meltwater leaves the ice to supply surrounding ecosystems. Here we show that nearly 30% of this land-terminating margin ends in extremely steep, often vertical sections, previously only described in individual locations. Less than 20% are shallow ramps. Knowledge of these margin shapes and their locations allows us to further investigate what they can potentially tell us about the current ice sheet health and its future evolution.
Lea Hartl, Jakob Abermann, Ayla Akgün, Giulia Bertolotti, Tobias Bolch, Svenja Conzelmann, Codrut-Andrei Diaconu, Iris Hansche, Anne Hartig, Anna Haut, Kay Helfricht, Bernhard Hynek, Marie Sophie Kaucher, Andreas Kellerer-Pirklbauer, Ann Christin Kogel, Julie Krippes, Marcela Violeta Lauria, Christoph Mayer, Jan-Christoph Otto, Rainer Prinz, Sina Prölß, Lorenzo Rieg, Lea Schönleber, Gabriele Schwaizer, Bernd Seiser, Martin Stocker-Waldhuber, Markus Strudl, Martin Verhounik, and Harald Zandler
EGUsphere, https://doi.org/10.5194/egusphere-2026-1241, https://doi.org/10.5194/egusphere-2026-1241, 2026
This preprint is open for discussion and under review for The Cryosphere (TC).
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We mapped glacier outlines in Austria using recent, high resolution imagery. The resulting glacier inventory provides an update on glacier area in Austria in 2021-2023. More than 30% of glacier area was lost and 95 glaciers have disappeared since the mid-2000s. Glacier recession is accelerating and regular updates to glacier inventories are needed to understand downstream changes to the hydrological system, quantify glacier mass loss, and support planning and adaptation measures.
Jonathan Fipper, Jakob Abermann, Ingo Sasgen, Henrik Skov, Lise Lotte Sørensen, and Wolfgang Schöner
The Cryosphere, 20, 683–698, https://doi.org/10.5194/tc-20-683-2026, https://doi.org/10.5194/tc-20-683-2026, 2026
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We use measurements conducted with uncrewed aerial vehicles (UAVs) and reanalysis data to study the drivers of vertical air temperature structures and their link to the surface mass balance of Flade Isblink, a large ice cap in Northeast Greenland. Surface properties control temperature structures up to 100 m above ground, while large-scale circulation dominates above. Mass loss has increased since 2015, with record loss in 2023 associated with frequent synoptic conditions favouring melt.
Robert S. Fausto, Penelope How, Baptiste Vandecrux, Mads C. Lund, Jason E. Box, Kenneth D. Mankoff, Signe B. Andersen, Dirk van As, Rasmus Bahbah, Michele Citterio, William Colgan, Henrik T. Jakobsgaard, Nanna B. Karlsson, Kristian K. Kjeldsen, Signe H. Larsen, Charlotte Olsen, Falk Oraschewski, Anja Rutishauser, Christopher L. Shields, Anne M. Solgaard, Ian T. Stevens, Synne H. Svendsen, Kirsty Langley, Alexandra Messerli, Anders A. Bjørk, Jonas K. Andersen, Jakob Abermann, Jakob Steiner, Rainer Prinz, Berhard Hynek, James M. Lea, Stephen Brough, and Andreas P. Ahlstrøm
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-687, https://doi.org/10.5194/essd-2025-687, 2025
Revised manuscript accepted for ESSD
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In summary, the PROMICE | GC-NET AWS data product update represents a significant advancement in Arctic climate monitoring. Through enhanced station designs, state-of-the-art instrumentation, and a transparent, automated data processing workflow, the dataset offers an essential resource for studying the Greenland Ice Sheet and its periphery, validating climate models, and supporting global assessments of cryospheric change.
Aleksandra Smyrak-Sikora, Peter Betlem, Victoria S. Engelschiøn, William J. Foster, Sten-Andreas Grundvåg, Mads E. Jelby, Morgan T. Jones, Grace E. Shephard, Kasia K. Śliwińska, Madeleine L. Vickers, Valentin Zuchuat, Lars Eivind Augland, Jan Inge Faleide, Jennifer M. Galloway, William Helland-Hansen, Maria A. Jensen, Erik P. Johannessen, Maayke Koevoets, Denise Kulhanek, Gareth S. Lord, Tereza Mosociova, Snorre Olaussen, Sverre Planke, Gregory D. Price, Lars Stemmerik, and Kim Senger
Clim. Past, 21, 2133–2187, https://doi.org/10.5194/cp-21-2133-2025, https://doi.org/10.5194/cp-21-2133-2025, 2025
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In this review article we present Svalbard’s unique geological archive, revealing its climate history over the last 540 million years. We uncover how this Arctic region recorded key global events, including the End-Permian Mass Extinction, and climate crises like the Paleocene–Eocene Thermal Maximum. The overall climate trend recorded in sedimentary successions in Svalbard is discussed in the context of global climate fluctuations and continuous drift of Svalbard from near equatorial to Arctic latitudes.
Florina Roana Schalamon, Sebastian Scher, Andreas Trügler, Lea Hartl, Wolfgang Schöner, and Jakob Abermann
Weather Clim. Dynam., 6, 1075–1088, https://doi.org/10.5194/wcd-6-1075-2025, https://doi.org/10.5194/wcd-6-1075-2025, 2025
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Atmospheric patterns influence the air temperature in Greenland. We investigate two warming periods, from 1922–1932 and 1993–2007, both showing similar temperature increases. Using a neural network-based clustering method, we defined predominant atmospheric patterns for further analysis. Our findings reveal that while the connection between these patterns and local air temperature remains stable, the distribution of patterns changes between the warming periods and the full period (1900–2015).
Tiago Silva, Brandon Samuel Whitley, Elisabeth Machteld Biersma, Jakob Abermann, Katrine Raundrup, Natasha de Vere, Toke Thomas Høye, Verena Haring, and Wolfgang Schöner
Biogeosciences, 22, 4601–4626, https://doi.org/10.5194/bg-22-4601-2025, https://doi.org/10.5194/bg-22-4601-2025, 2025
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Ecosystems in Greenland have experienced significant changes over recent decades. We show the consistency of a high-resolution polar-adapted reanalysis product to represent bio-climatic factors influencing ecological processes. Our results describe the relevance/interaction between snowmelt and soil water content before the growing season onset, infer how the thermal growing season relates to changes in spectral greenness, and describe regions of ongoing changes in vegetation distribution.
Rafael Kenji Horota, Christian Haug Eide, Kim Senger, Marius Opsanger Jonassen, and Marie Annette Vander Kloet
EGUsphere, https://doi.org/10.5194/egusphere-2025-2248, https://doi.org/10.5194/egusphere-2025-2248, 2025
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We explored how virtual tools can help students prepare for and reflect on outdoor learning in the Arctic. Using surveys from university courses in Svalbard, we found that digital field visits helped students feel more confident, better understand the landscape, and learn more effectively. These tools do not replace real fieldwork but make it more accessible and inclusive. Our research shows how technology can support hands-on learning in remote environments.
Lea Hartl, Patrick Schmitt, Lilian Schuster, Kay Helfricht, Jakob Abermann, and Fabien Maussion
The Cryosphere, 19, 1431–1452, https://doi.org/10.5194/tc-19-1431-2025, https://doi.org/10.5194/tc-19-1431-2025, 2025
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We use regional observations of glacier area and volume change to inform glacier evolution modeling in the Ötztal and Stubai range (Austrian Alps) until 2100 in different climate scenarios. Glaciers in the region lost 23 % of their volume between 2006 and 2017. Under current warming trajectories, glacier loss in the region is expected to be near-total by 2075. We show that integrating regional calibration and validation data in glacier models is important to improve confidence in projections.
Matthew Switanek, Gernot Resch, Andreas Gobiet, Daniel Günther, Christoph Marty, and Wolfgang Schöner
The Cryosphere, 18, 6005–6026, https://doi.org/10.5194/tc-18-6005-2024, https://doi.org/10.5194/tc-18-6005-2024, 2024
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Snow depth plays an important role in water resources, mountain tourism, and hazard management across the European Alps. Our study uses station-based historical observations to quantify how changes in temperature and precipitation affect average seasonal snow depth. We find that the relationship between these variables has been surprisingly robust over the last 120 years. This allows us to more accurately estimate how future climate will affect seasonal snow depth in different elevation zones.
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 Sartell, Andrew Schaeffer, Daniel Stockli, Marie Annette Vander Kloet, and Carmen Gaina
Geosci. Commun., 7, 267–295, https://doi.org/10.5194/gc-7-267-2024, https://doi.org/10.5194/gc-7-267-2024, 2024
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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 course through a wide range of lecturers, focussing both on the small and larger scales and covering many geoscientific disciplines.
Jorrit van der Schot, Jakob Abermann, Tiago Silva, Kerstin Rasmussen, Michael Winkler, Kirsty Langley, and Wolfgang Schöner
The Cryosphere, 18, 5803–5823, https://doi.org/10.5194/tc-18-5803-2024, https://doi.org/10.5194/tc-18-5803-2024, 2024
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We present snow data from nine locations in coastal Greenland. We show that a reanalysis product (CARRA) simulates seasonal snow characteristics better than a regional climate model (RACMO). CARRA output matches particularly well with our reference dataset when we look at the maximum snow water equivalent and the snow cover end date. We show that seasonal snow in coastal Greenland has large spatial and temporal variability and find little evidence of trends in snow cover characteristics.
Bernhard Hynek, Daniel Binder, Michele Citterio, Signe Hillerup Larsen, Jakob Abermann, Geert Verhoeven, Elke Ludewig, and Wolfgang Schöner
The Cryosphere, 18, 5481–5494, https://doi.org/10.5194/tc-18-5481-2024, https://doi.org/10.5194/tc-18-5481-2024, 2024
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An avalanche event in February 2018 caused thick snow deposits on Freya Glacier, a peripheral mountain glacier in northeastern Greenland. The avalanche deposits contributed significantly to the mass balance, leaving a strong imprint in the elevation changes in 2013–2021. The 8-year geodetic mass balance (2013–2021) of the glacier is positive, whereas previous estimates by direct measurements were negative and now turned out to have a negative bias.
Christoph Posch, Jakob Abermann, and Tiago Silva
The Cryosphere, 18, 2035–2059, https://doi.org/10.5194/tc-18-2035-2024, https://doi.org/10.5194/tc-18-2035-2024, 2024
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Radar beams from satellites exhibit reflection differences between water and ice. This condition, as well as the comprehensive coverage and high temporal resolution of the Sentinel-1 satellites, allows automatically detecting the timing of when ice cover of lakes in Greenland disappear. We found that lake ice breaks up 3 d later per 100 m elevation gain and that the average break-up timing varies by ±8 d in 2017–2021, which has major implications for the energy budget of the lakes.
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
Publication in HESS not foreseen
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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.
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.
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.
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Editorial statement
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...
