Integrating Disparate Lidar Datasets for a Regional Storm Tide Inundation Analysis of Hurricane Katrina

Stoker, Jason M.; Tyler, Dean J.; Turnipseed, D. Phil; Wilson, K. Van; Oimoen, Michael J.

doi:10.2112/si53-008.1

Cited by 20 publications

(12 citation statements)

References 6 publications

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“…Despite constant developments in data fusion (Pohl and van Genderen, 1998;Dong et al, 2009;Zhang, 2010), it presents particular challenges for geomorphometry. First, despite improvements in edge matching algorithms, artefacts from merging and surveying can appear when deriving terrain attributes from the fused data set (Stoker et al, 2009). Data fusion often requires the different data sets to overlap slightly in order to be combined.…”

Section: Broadscale Coastal Geomorphometrymentioning

confidence: 99%

“…Quadros et al, 2008) argue that the different types of data sets cannot be readily integrated, but the main challenges will likely be addressed with improvements in data fusion techniques and ease of implementation of these techniques for non-expert users (Zhang, 2010) for geomorphometry. Current work includes detection and correction of differences in geoid models, consideration of uncertainties, and improvement in edge matching algorithms (Quadros et al, 2008;Dong et al, 2009;Stoker et al, 2009). Recently, Leitão et al (2016) proposed a new method to merge different DTMs developed specifically for geomorphometry.…”

Section: Broadscale Coastal Geomorphometrymentioning

confidence: 99%

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A review of marine geomorphometry, the quantitative study of the seafloor

Lecours

Dolan

Micallef

et al. 2016

Hydrol. Earth Syst. Sci.

179

120

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Abstract. Geomorphometry, the science of quantitative terrain characterization, has traditionally focused on the investigation of terrestrial landscapes. However, the dramatic increase in the availability of digital bathymetric data and the increasing ease by which geomorphometry can be investigated using geographic information systems (GISs) and spatial analysis software has prompted interest in employing geomorphometric techniques to investigate the marine environment. Over the last decade or so, a multitude of geomorphometric techniques (e.g. terrain attributes, feature extraction, automated classification) have been applied to characterize seabed terrain from the coastal zone to the deep sea. Geomorphometric techniques are, however, not as varied, nor as extensively applied, in marine as they are in terrestrial environments. This is at least partly due to difficulties associated with capturing, classifying, and validating terrain characteristics underwater. There is, nevertheless, much common ground between terrestrial and marine geomorphometry applications and it is important that, in developing marine geomorphometry, we learn from experiences in terrestrial studies. However, not all terrestrial solutions can be adopted by marine geomorphometric studies since the dynamic, fourdimensional (4-D) nature of the marine environment causes its own issues throughout the geomorphometry workflow. For instance, issues with underwater positioning, variations in sound velocity in the water column affecting acousticbased mapping, and our inability to directly observe and measure depth and morphological features on the seafloor are all issues specific to the application of geomorphometry in the marine environment. Such issues fuel the need for a dedicated scientific effort in marine geomorphometry.This review aims to highlight the relatively recent growth of marine geomorphometry as a distinct discipline, and offers the first comprehensive overview of marine geomorphometry to date. We address all the five main steps of geomorphometry, from data collection to the application of terrain attributes and features. We focus on how these steps are relevant to marine geomorphometry and also highlight differences and similarities from terrestrial geomorphometry. We conclude with recommendations and reflections on the future of marine geomorphometry. To ensure that geomorphometry is used and developed to its full potential, there is a need to increase awareness of (1) marine geomorphometry amongst scientists already engaged in terrestrial geomorphometry, and of (2) geomorphometry as a science amongst marine scientists with a wide range of backgrounds and experiences.

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Section: Broadscale Coastal Geomorphometrymentioning

confidence: 99%

Section: Broadscale Coastal Geomorphometrymentioning

confidence: 99%

A review of marine geomorphometry, the quantitative study of the seafloor

Lecours

Dolan

Micallef

et al. 2016

Hydrol. Earth Syst. Sci.

179

120

View full text Add to dashboard Cite

show abstract

“…As a result of these complex datasets, a methodology was developed to construct seamless DEMs from multipurpose, multiuse, and disparate lidar datasets that serves as a template for use by other agencies. The output of this work included an easily accessible Web application for viewing the maximum storm tide caused by Hurricane Katrina in southeastern Louisiana, Mississippi, and Alabama (Stoker et al, 2009). …”

Section: Lidarmentioning

confidence: 99%

“…Some of the raw point cloud data were already available and being processed for the USGS Center for Lidar Information Coordination and Table 1. Dataset differences (from Stoker et al, 2009) www.intechopen.com Knowledge (CLICK) database (Stoker et al, 2006). The lidar data were in various file formats and projections and represented different levels of processing.…”

Section: Lidar Processingmentioning

confidence: 99%

“…All datasets were projected into a geographic coordinate system for use in the ASSEMBLE program. The ASSEMBLE program mitigated all noticeable dataset seams and other edge boundary anomalies (Stoker et al, 2009). The final output was a seamless digital elevation model of the region at a resolution of 3 meters available for viewing on the web.…”

Section: Alabama Datasetsmentioning

confidence: 99%

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