Article
Forestry
Sandra Penman, Pia Lentini, Bradley Law, Alan York
Summary: This study provides a starting point for incorporating terrestrial laser scanning (TLS) methods into ecological research and monitoring. A case study from a temperate forest in Australia is used to demonstrate the workflow and R code for processing TLS data and extracting vegetation structure metrics relevant to wildlife habitat. The study highlights the value of three-dimensional data obtained through TLS in wildlife studies and its potential for exploring advanced ecological and conservation questions.
FOREST ECOLOGY AND MANAGEMENT
(2023)
Article
Environmental Sciences
Julius A. Ellrich, Shunji Furukuma, Sonja M. Ehlers
Summary: This study investigates the generation, degeneration, and fate of plasticrusts, which are a plastic form encrusting intertidal rocks. The researchers found that plasticrusts are mainly derived from common polyethylene containers and polyester-based paint. They also observed that wave exposure and tidal amplitude are positively related to the abundance, cover, and distribution of plasticrusts. Experiments showed that plasticrusts are generated through scratching and abrasion by cobbles, as well as movements during beach clean-ups. Monitoring results revealed a decrease in plasticrust abundance and cover over time, with detached plasticrusts contributing to microplastic pollution.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Engineering, Environmental
David Clemens -Sewall, Matthew Parno, Don Perovich, Chris Polashenski, Ian A. Raphael
Summary: The study introduces FlakeOut, a filter designed specifically to filter wind-blown snowflakes from TLS data, with a low false positive rate making it suitable for applications requiring quantitative measurements of the snow surface.
COLD REGIONS SCIENCE AND TECHNOLOGY
(2022)
Article
Environmental Sciences
James H. Churnside, Richard D. Marchbanks, Nathan Marshall
Summary: The study found that climate change has led to a decrease in sea ice in the Arctic Ocean, impacting the distribution of phytoplankton. Measurements using airborne profiling lidar showed that attenuation and scattering were greater in open water compared to under the ice, indicating different phytoplankton assemblages.
Article
Environmental Sciences
Spencer Dakin Kuiper, Nicholas C. Coops, Piotr Tompalski, Scott G. Hinch, Alyssa Nonis, Joanne C. White, Jeffery Hamilton, Donald J. Davis
Summary: Understanding changes in salmonid populations and their habitat is crucial due to climate change and their importance as a keystone species. Airborne Laser Scanning (ALS) data can be used to assess the quality and quantity of salmonid habitat, as well as characterize detailed stream attributes. ALS data provides detailed Digital Elevation Models (DEMs) and can be utilized for sustainable forest management decision making and advanced salmonid habitat modeling.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Remote Sensing
Martin Mokros, Tomas Mikita, Arunima Singh, Julian Tomastik, Juliana Chuda, Piotr Wezyk, Karel Kuzelka, Peter Surovy, Martin Klimanek, Karolina Zieba-Kulawik, Rogerio Bobrowski, Xinlian Liang
Summary: The development of devices capable of generating 3D point clouds of the forest has flourished in recent years. Low-cost technologies such as MultiCam, iPad Pro, GeoSlam Horizon, and FARO Focus s70 were compared for tree detection and diameter at breast height estimation. Results showed that TLS provided the most accurate data, while iPad Pro achieved results closest to TLS when DBH > 7 cm.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Environmental Sciences
Mathilde Letard, Antoine Collin, Thomas Corpetti, Dimitri Lague, Yves Pastol, Anders Ekelund
Summary: This article demonstrates the relevance of topobathymetric lidar data for coastal and estuarine habitat mapping by classifying bispectral data to produce high-resolution 3D maps. The combination of green waveform features, infrared intensities, and elevations yields the best classification results, achieving an accuracy of 90.5%.
Article
Geography, Physical
Heejoon Choi, Youngkeun Song
Summary: This study compared the structural canopy metrics of airborne laser scanning (ALS), terrestrial laser scanning (TLS), and mobile laser scanning (MLS), and evaluated their consistencies. The results showed that certain metrics demonstrated good consistency among the three LiDAR systems, while others were influenced by tree classes and canopy complexities.
GISCIENCE & REMOTE SENSING
(2022)
Article
Environmental Sciences
Benjamin Weitzman, Brenda Konar, Katrin Iken, Heather Coletti, Daniel Monson, Robert Suryan, Thomas Dean, Dominic Hondolero, Mandy Lindeberg
Summary: Research showed that the Pacific Marine Heatwave had impacts on rocky intertidal community structures across four regions in Alaska. Before the heatwave, there were significant differences in community structures among regions; however, during and after the heatwave, similarities in community structures increased, leading to greater homogenization of these communities.
FRONTIERS IN MARINE SCIENCE
(2021)
Article
Construction & Building Technology
Alfonso Lopez, Carlos J. Ogayar, Juan M. Jurado, Francisco R. Feito
Summary: This paper proposes an approach to optimize LiDAR surveys by using metaheuristics, such as local searches and genetic algorithms, to address the issue of object occlusion in the scene. The method handles 3D occlusion by varying the height of the sensor and compresses previously used metrics into three functions to avoid multi-objective optimization. Tests conducted with a LiDAR scanning solution based on GPU hardware show that the combination of local searches and genetic algorithms generates a reduced set of locations capable of optimizing the scanning of buildings.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Ecology
Marc Fuhr, Etienne Lalechere, Jean-Matthieu Monnet, Laurent Berges
Summary: Building a network of interconnected overmature forests is crucial for biodiversity conservation. LiDAR technology can accurately assess forest structural parameters and identify overmature forest patches over large areas. In this study, an index combining forest structural maturity attributes was developed to characterize the maturity of field plots. LiDAR metrics, along with elevation, slope, and echo intensity distribution, were important for predicting forest maturity. The model showed a high correlation between observed and predicted maturity values, indicating accurate ranking of field plots.
REMOTE SENSING IN ECOLOGY AND CONSERVATION
(2022)
Review
Environmental Sciences
Junbo Wang, Lanying Wang, Shufang Feng, Benrong Peng, Lingfeng Huang, Sarah N. Fatholahi, Lisa Tang, Jonathan Li
Summary: This paper provides a narrative review of shoreline mapping using airborne LiDAR over the past two decades. More than 130 articles were summarized to assess the current state and challenges of this method. It was found that while there are limitations and challenges, the combination of LiDAR point cloud processing techniques, such as deep-learning algorithms, shows promise for improving shoreline extraction and mapping.
Article
Multidisciplinary Sciences
A. Hooijer, R. Vernimmen
Summary: The study reveals that areas most vulnerable to sea-level rise are mainly located in tropical regions, especially in tropical Asia. Even with a conservative estimate of 1 meter sea-level rise, the population in these areas is expected to increase significantly.
NATURE COMMUNICATIONS
(2021)
Article
Ecology
Jesper Erenskjold Moeslund, Kevin Kuhlmann Clausen, Lars Dalby, Camilla Flojgaard, Meelis Partel, Norbert Pfeifer, Markus Hollaus, Ane Kirstine Brunbjerg, Mat Disney, Jian Zhang
Summary: This study used a large plant dataset and lidar data to analyze the impact of habitat characteristics on plant dark diversity, and identified factors that should be considered by managers and policymakers in conservation and restoration projects.
REMOTE SENSING IN ECOLOGY AND CONSERVATION
(2023)
Article
Biodiversity Conservation
Max L. E. Grafnings, Laura L. Govers, Jannes H. T. Heusinkveld, Brian R. Silliman, Quirin Smeele, Stephanie R. Valdez, Tjisse van der Heide
Summary: The study found that macrozoobenthos can be used as an indicator for seagrass habitat suitability, and can explain the differing seagrass recovery rates between the Northern and Southern regions of the Wadden Sea. Seagrass presence or absence could be reliably predicted with only four variables: chlorophyll a, bivalve, ragworm, and mudsnail biomass. Higher chlorophyll concentrations and ragworm biomass were found in the South compared to the Northern Wadden Sea, suggesting that eutrophication and associated community shifts might still inhibit seagrass recovery in the South.
ECOLOGICAL INDICATORS
(2023)
Article
Engineering, Civil
Matthew S. O'Banion, Michael J. Olsen, Christopher E. Parrish, Michael Bailey
JOURNAL OF SURVEYING ENGINEERING
(2019)
Article
Engineering, Civil
Rajendra Soti, Linh Abdulrahman, Andre R. Barbosa, Richard L. Wood, Mohammad Ebrahim Mohammadi, Michael J. Olsen
ENGINEERING STRUCTURES
(2020)
Article
Geography, Physical
Jaehoon Jung, Erzhuo Che, Michael J. Olsen, Katherine C. Shafer
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2020)
Article
Geosciences, Multidisciplinary
T. D. Rapstine, F. K. Rengers, K. E. Allstadt, R. M. Iverson, J. B. Smith, M. K. Obryk, M. Logan, M. J. Olsen
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2020)
Article
Geography, Physical
Michael Bunn, Ben Leshchinsky, Michael J. Olsen
Article
Computer Science, Information Systems
Matthew S. O'Banion, Michael J. Olsen, Jeff P. Hollenbeck, William C. Wright
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2020)
Article
Engineering, Multidisciplinary
Sergio Baselga, Michael J. Olsen
Summary: Global geodetic techniques can provide millimeter accuracy worldwide, but preserving this accuracy in derived products can be challenging. This paper aims to guide users in avoiding errors and misconceptions in the collection, processing, analysis, and delivery of geospatial information, as well as questioning the validity of common approximations. It also provides correct indications for accurately performing geospatial operations.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2021)
Article
Environmental Sciences
Andrew Senogles, Michael J. Olsen, Ben Leshchinsky
Summary: Displacement monitoring is critical for understanding, managing, and mitigating potential landslide hazard and risk. This study presents a novel approach called SlideSim, which uses optical flow prediction and sequential DEM rasters to map 3D landslide displacement. The effectiveness, applicability, and reliability of SlideSim for landslide displacement monitoring are demonstrated using real-world data.
Article
Geosciences, Multidisciplinary
C. Massey, M. J. Olsen, J. Wartman, A. Senogles, B. Lukovic, B. A. Leshchinsky, G. Archibald, N. Litchfield, R. Van Dissen, S. de Vilder, C. Holden
Summary: The effects of strong ground shaking on hillslope stability can persist for many years after a large earthquake, leading to an increase in post-earthquake land sliding rates. The factors controlling these rates are poorly understood, making it difficult to forecast landslide hazards and risk. This study used a unique data set from the Canterbury Earthquake Sequence in New Zealand to analyze the rates and factors affecting post-earthquake rockfall. The results show that rockfall rates increased significantly after the strongest earthquake in the sequence and decayed over time. Peak ground accelerations and relative height were found to be important variables for forecasting rockfall volume. The study also revealed that previous failures in adjacent areas preconditioned localized slopes for subsequent rockfall.
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2022)
Article
Multidisciplinary Sciences
Stefano Alberti, Ben Leshchinsky, Josh Roering, Jonathan Perkins, Michael J. Olsen
Summary: This study analyzes landslides in western Oregon to explore the relationship between landslide size and strength, and reveals that the gradient relationship between landslide thickness and cohesive strength may reflect subsurface weathering.
NATURE COMMUNICATIONS
(2022)
Article
Environmental Sciences
Jonathan L. Batchelor, Todd M. Wilson, Michael J. Olsen, William J. Ripple
Summary: We have developed new measures of structural complexity using single point terrestrial laser scanning (TLS) point clouds. These metrics, which include depth, openness, and isovist, can accurately capture the structural complexity of forests without observer bias. They have the potential to quantify structural change in forest ecosystems, measure the effects of forest management activities, and describe habitat for organisms.
Article
Remote Sensing
Michael J. Olsen, Chris Massey, Ben Leshchinsky, Joseph Wartman, Andrew Senogles
Summary: This paper analyzes changes in terrain and rockfall activity rates using repeat terrestrial lidar scans. The findings can be used to develop forecasting models that help transportation agencies estimate increased maintenance needs for debris removal after earthquakes.
JOURNAL OF APPLIED GEODESY
(2023)
Correction
Multidisciplinary Sciences
Stefano Alberti, Ben Leshchinsky, Josh Roering, Jonathan Perkins, Michael J. Olsen
NATURE COMMUNICATIONS
(2023)
Article
Computer Science, Interdisciplinary Applications
Andrew Senogles, Michael J. Olsen, Ben Leshchinsky
Summary: Monitoring landslide displacement is crucial for understanding dynamics and assessing risks. This study introduces a novel technique called LADI (Landslide Displacement Interpolation) that combines remote sensing data with in-situ sensor data to create a high-resolution interpolation of landslide surface displacement. Results demonstrate that LADI outperforms common spatial interpolation methods, especially when the spatial control points are unevenly distributed.
COMPUTERS & GEOSCIENCES
(2023)
Article
Environmental Sciences
Shane J. Markus, Joseph Wartman, Michael Olsen, Margaret M. Darrow
Summary: Rockfall poses a significant risk to mountainous communities and infrastructure. The Rockfall Activity Index (RAI) uses high-resolution lidar-derived models to categorize slope faces into distinct morphological units. A study in Alaska analyzed a five-year inventory of 4381 rockfall events, investigating variations in failure characteristics among different RAI classes. The findings demonstrate the effectiveness of RAI in differentiating rock slopes and provide recommendations for modifying RAI parameters to enhance rockfall hazard assessments.