LIDAR strip adjustment: Application to volcanic areas

Favalli, Massimiliano; Pareschi, M. T.

doi:10.1016/j.geomorph.2009.04.010

Cited by 63 publications

(86 citation statements)

References 27 publications

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“…Airborne LIDAR surveys permit the generation of DEMs for large areas and the recovery of detailed and comprehensive elevation maps. The typical grid (pixel) sizes using this methodology are around 1 m [3], [19]. Cashman et al [1] presented a comprehensive review of how recent advances in laser 3-D surface scanning techniques have revolutionized our ability to map terrains and to monitor the evolution of active geologic surface features.…”

Section: A Surface Modeling In Earth Sciences: Techniquesmentioning

confidence: 99%

“…3). The LIDAR-derived DEM used for the base image was acquired in 2004 and is described in detail in [19]. The LIDAR data were acquired using an Optech Airborne Laser Terrain Mapper (ALTM 3033) using a Class IV laser at 1064 nm; the 1-σ vertical accuracy is 0.15-0.35 m. From the LIDAR data, we extracted the Monti Silvestri crater area, which corresponds to the area of interest to be reconstructed with VSfM and covers an area of 24 630 m 2 .…”

Section: A Etna (Monti Silvestri Superiore)mentioning

confidence: 99%

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Rapid Updating and Improvement of Airborne LIDAR DEMs Through Ground-Based SfM 3-D Modeling of Volcanic Features

Kolzenburg

Favalli

Isola

et al. 2016

IEEE Trans. Geosci. Remote Sensing

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Abstract-We present a workflow to create, scale, georeference, and integrate digital elevation models (DEMs) created using open-source structure-from-motion (SfM) multiview stereo (MVS) software into existing DEMs (as derived from the light detection and ranging data in the presented cases). The workflow also maps the root-mean-square error between the base DEM and the SfM surface model. This allows DEM creation from field-based surveys using consumer-grade digital cameras with open-source and custom-built software. We employ this workflow on three examples of different scales and morphology: 1) a scoria cone on Mt. Etna; 2) a lava channel on Mauna Ulu (Kīlauea); and 3) a flank collapse scar on Mt. Etna. This represents a new approach for rapid low-cost construction and updating of existing DEMs at high temporal and spatial resolutions and for areas of up to several thousand square meters. We assess the self-consistency of the method by comparison of DEMs of the same features, created from independent data sets acquired on the same day and from the same vantage points. We further evaluate the effect of grid cell size on the reconstruction error. This method uses existing DEMs as a georeferencing tool and can therefore be used in limited access and potentially hazardous areas as it no longer relies exclusively on control targets on the ground.

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Section: A Surface Modeling In Earth Sciences: Techniquesmentioning

confidence: 99%

Section: A Etna (Monti Silvestri Superiore)mentioning

confidence: 99%

Rapid Updating and Improvement of Airborne LIDAR DEMs Through Ground-Based SfM 3-D Modeling of Volcanic Features

Kolzenburg

Favalli

Isola

et al. 2016

IEEE Trans. Geosci. Remote Sensing

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“…Such errors are common also to ALS datasets and can be corrected by various adjustments [e.g., [158][159][160][161][162]. Maintaining a common photographic scale between contiguous flights in UAVP survey can minimize such errors.…”

Section: Data Qualitymentioning

confidence: 99%

Mapping site-level microtopography with Real- Time Kinematic Global Navigation Satellite Systems (RTK GNSS) and Unmanned Aerial Vehicle Photogrammetry (UAVP)

Roosevelt

2014

Open Archaeology

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Microtopographic mapping has a long history in archaeology and has gained prominence recently owing to the proliferation of digital technologies. With such proliferation, it becomes necessary to compare and contrast different approaches based on a common set of criteria. This article compares the implementation and efficiency of two methods of mapping microtopography -ground-based Real-Time Kinematic Global Navigation Satellite System (RTK GNSS) and Unmanned Aerial Vehicle Photogrammetry (UAVP) survey -assessing the pros and cons of each, including those related to data quality. 'Off-the-shelf' solutions for methods were used to create the comparative dataset of microtopographic maps of six Middle and Late Bronze Age sites over the course of four seasons between 2007 and 2013 in the study area of the Central Lydia Archaeological Survey in western Turkey. Comparison of results demonstrate that the methods are similar with respect to ease of implementation, cost efficiency, and the (in)significance of data defects, while, unsurprisingly, UAVP survey can be greater than one order of magnitude more labor efficient than RTK GNSS survey and over two orders of magnitude more detailed as measured by data density. The accuracy of both methods is high, within typical error budgets for site-level mapping, and comparable to other recent digital mapping approaches. Accordingly, the results suggest that, given site suitability, UAVP is the more labor and cost-efficient method in the long run, with significant data quality benefits.

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“…The coordinate of laser foot point P in local reference frame can be derived by the LiDAR geo-location equation (Filin, 2003;Skaloud and Lichti, 2006;Favalli, et. al., 2009;Habib et.…”

Section: Pos Aided Lsamentioning

confidence: 99%

“…al., 2011). Among most sensor system-driven methods, only systematic errors of mounting parameters and ranging are calibrated (Burman, 2000;Filin, 2003;Skaloud and Lichti, 2006;Favalli et. al., 2009;Kumari et.…”

Section: Introductionmentioning

confidence: 99%

Rigorous LiDAR Strip Adjustment with Triangulated Aerial Imagery

Zhang

Xiong

2013

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:This paper proposes a POS aided LiDAR strip adjustment method. Firstly, aero-triangulation of the simultaneously obtained aerial images is conducted with a few photogrammetry-specific ground control points. Secondly, LiDAR intensity images are generated from the reflectance signals of laser foot points, and conjugate points are automatically matched between the LiDAR intensity image and the aero-triangulated aerial image. Control points used in LiDAR strip adjustment are derived from these conjugate points. Finally, LiDAR strip adjustment of real data is conducted with the POS aided LiDAR strip adjustment method proposed in this paper, and comparison experiment using three-dimensional similarity transformation method is also performed. The results indicate that the POS aided LiDAR strip adjustment method can significantly correct the planimetric and vertical errors of LiDAR strips. The planimetric correction accuracy is higher than average point distance while the vertical correction accuracy is comparable to that of the result of aero-triangulation. Moreover, the proposed method is obliviously superior to the traditional three-dimensional similarity transformation method.

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LIDAR strip adjustment: Application to volcanic areas

Cited by 63 publications

References 27 publications

Rapid Updating and Improvement of Airborne LIDAR DEMs Through Ground-Based SfM 3-D Modeling of Volcanic Features

Rapid Updating and Improvement of Airborne LIDAR DEMs Through Ground-Based SfM 3-D Modeling of Volcanic Features

Mapping site-level microtopography with Real- Time Kinematic Global Navigation Satellite Systems (RTK GNSS) and Unmanned Aerial Vehicle Photogrammetry (UAVP)

Rigorous LiDAR Strip Adjustment with Triangulated Aerial Imagery

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