Comparison of Airborne and Terrestrial Lidar Estimates of Seacliff Erosion in Southern California

Young, Adam P.; Olsen, Michael J.; Driscoll, Neal W.; Flick, Reinhard E.; Gutierrez, R.; Guza, R. T.; Johnstone, Elizabeth; Kuester, Falko

doi:10.14358/pers.76.4.421

Cited by 88 publications

(85 citation statements)

References 12 publications

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“…For example, Raymond (2010) and Young et al (2010b) determined that the OLC seacliffs are composed of >50% sand content. Sediment contributions from the erosion of seacliffs may become a larger percentage of the sediment source as the effects of damming (Slagel and Griggs, 2008;Willis and Griggs, 2003) and urbanization of the coastal watershed continue to increase (Warrick and Rubin, 2007).…”

Section: Introductionmentioning

confidence: 99%

Morphological Expressions of Coastal Cliff Erosion Processes in San Diego County

Johnstone

Raymond

Olsen

et al. 2016

Journal of Coastal Research

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Section: Introductionmentioning

confidence: 99%

Morphological Expressions of Coastal Cliff Erosion Processes in San Diego County

Johnstone

Raymond

Olsen

et al. 2016

Journal of Coastal Research

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“…Considering these criteria, ALS and TLS data are the most appropriate references for the analysis of the ALS data. 24 In this study, DSMs, derived from ∼50% overlapping ALS strips, were compared internally. In addition, DSMs, achieved from matched and merged ALS strips, were checked against the TLS DSMs.…”

Section: Model-based Geolocation Accuracy Analysismentioning

confidence: 99%

Point-based and model-based geolocation analysis of airborne laser scanning data

Sefercik

Büyüksali̇h²,

Jacobsen

et al. 2016

Opt. Eng

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Abstract. Airborne laser scanning (ALS) is one of the most effective remote sensing technologies providing precise three-dimensional (3-D) dense point clouds. A large-size ALS digital surface model (DSM) covering the whole Istanbul province was analyzed by point-based and model-based comprehensive statistical approaches. Point-based analysis was performed using checkpoints on flat areas. Model-based approaches were implemented in two steps as strip to strip comparing overlapping ALS DSMs individually in three subareas and comparing the merged ALS DSMs with terrestrial laser scanning (TLS) DSMs in four other subareas. In the model-based approach, the standard deviation of height and normalized median absolute deviation were used as the accuracy indicators combined with the dependency of terrain inclination. The results demonstrate that terrain roughness has a strong impact on the vertical accuracy of ALS DSMs. From the relative horizontal shifts determined and partially improved by merging the overlapping strips and comparison of the ALS, and the TLS, data were found not to be negligible. The analysis of ALS DSM in relation to TLS DSM allowed us to determine the characteristics of the DSM in detail.

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“…Lidar-based change-detection analyses (CDA), i.e., mapping landscape adjustments through time in multi-temporal ALS and TLS data sets, have provided comprehensive measurements of snow depth (e.g., Harpold et al, 2014b;Tinkham et al, 2014) and ablation (Egli et al, 2011), co-seismic displacements after earthquakes (e.g., Oskin et al, 2012;Nissen et al, 2014), changes in aeolian dune form and migration rates (e.g., Pelletier, 2013), fluvial erosion (e.g., Anderson and Pitlick, 2014;Pelletier and Orem, 2014), earthflow displacements (e.g., DeLong et al, 2011), knickpoint migration in gully/channel systems (e.g., Rengers and Tucker, 2014), cliff retreat along coasts (Young et al, 2010), permafrost degradation (Levy et al, 2013;Barnhart and Crosby, 2013), forest growth (Yu et al, 2004;Naesset and Gobakken, 2005), and changes in biomass (e.g., Meyer et al, 2013;Olsoy et al, 2014). Traditionally, lidar point clouds have been rasterized prior to differencing using open-source processing toolkits (e.g., GCD (Geomorphic Change Detection); e.g., Wheaton et al, 2010a).…”

Section: Change Detectionmentioning

confidence: 99%

Laser vision: lidar as a transformative tool to advance critical zone science

Harpold

Marshall

Lyon

et al. 2015

Hydrol. Earth Syst. Sci.

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Abstract. Observation and quantification of the Earth's surface is undergoing a revolutionary change due to the increased spatial resolution and extent afforded by light detection and ranging (lidar) technology. As a consequence, lidar-derived information has led to fundamental discoveries within the individual disciplines of geomorphology, hydrology, and ecology. These disciplines form the cornerstones of critical zone (CZ) science, where researchers study how interactions among the geosphere, hydrosphere, and biosphere shape and maintain the "zone of life", which extends from the top of unweathered bedrock to the top of the vegetation canopy. Fundamental to CZ science is the development of transdisciplinary theories and tools that transcend disciplines and inform other's work, capture new levels of complexity, and create new intellectual outcomes and spaces. Researchers are just beginning to use lidar data sets to answer synergistic, transdisciplinary questions in CZ science, such as how CZ processes co-evolve over long timescales and interact over shorter timescales to create thresholds, shifts in states and fluxes of water, energy, and carbon. The objective of this review is to elucidate the transformative potential of lidar for CZ science to simultaneously allow for quantification of topographic, vegetative, and hydrological processes. A review of 147 peer-reviewed lidar studies highlights a lack of lidar applications for CZ studies as 38 % of the studies were focused in geomorphology, 18 % in hydrology, 32 % in ecology, and the remaining 12 % had an interdisciplinary focus. A handful of exemplar transdisciplinary studies demon- Published by Copernicus Publications on behalf of the European Geosciences Union. 2882 A. A. Harpold et al.: Laser vision: lidar as a transformative toolstrate lidar data sets that are well-integrated with other observations can lead to fundamental advances in CZ science, such as identification of feedbacks between hydrological and ecological processes over hillslope scales and the synergistic co-evolution of landscape-scale CZ structure due to interactions amongst carbon, energy, and water cycles. We propose that using lidar to its full potential will require numerous advances, including new and more powerful open-source processing tools, exploiting new lidar acquisition technologies, and improved integration with physically based models and complementary in situ and remote-sensing observations. We provide a 5-year vision that advocates for the expanded use of lidar data sets and highlights subsequent potential to advance the state of CZ science.

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Comparison of Airborne and Terrestrial Lidar Estimates of Seacliff Erosion in Southern California

Cited by 88 publications

References 12 publications

Morphological Expressions of Coastal Cliff Erosion Processes in San Diego County

Morphological Expressions of Coastal Cliff Erosion Processes in San Diego County

Point-based and model-based geolocation analysis of airborne laser scanning data

Laser vision: lidar as a transformative tool to advance critical zone science

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