The Emerging Role of Lidar Remote Sensing in Coastal Research and Resource Management

Brock, John C.; Purkis, Samuel J.

doi:10.2112/si53-001.1

Cited by 166 publications

(77 citation statements)

References 25 publications

(10 reference statements)

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“…Remote sensing video systems are another tool for coastline change detection used by some researchers [20][21][22][23]. Airborne Lidar is suggested for improved detection and monitoring of coastlines [24][25][26][27]. The edge detection technique with the radar and optical satellite images have been described as a more precise method for extracting shorelines/coastlines [28,29].…”

Section: Introductionmentioning

confidence: 99%

Developing Superfine Water Index (SWI) for Global Water Cover Mapping Using MODIS Data

et al. 2015

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Abstract:Monitoring of water cover and shorelines at a global scale is essential for better understanding climate change consequences and modern human disturbances. The level and turbidity of the surface water, and the background objects in which they interact with, vary significantly at a global scale. The existing water indices applicable to detection and extraction of water cover at local and regional scales cannot work efficiently everywhere in the globe. In this research, a new water index called Superfine Water Index (SWI) was developed for robust detection and discrimination of the surface water at a global scale using MODIS based multispectral data. The SWI was designed in such a way that it provides high contrast between the water and non-water areas. Achieving high contrast is vital for discriminating the surface water mixed with a variety of objects. The sensitivity analysis of the SWI demonstrated its high sensitivity to the surface water compared to the existing water indices. One single-layered global mosaic of a 90-percentile SWI image was used as a master image for global water cover mapping by reducing the large volume of MODIS data available between 2012 and 2014 globally. The random walker algorithm was applied in the SWI image with the support of reference training data for the extraction and mapping of water cover. This research produced an up-to-date global water cover map of the year 2013. OPEN ACCESSRemote Sens. 2015, 7 13808The performance of a new map was evaluated with a number of case studies and compared with existing maps. The supremacy of the SWI over the existing water indices, and high performance of the SWI based water map confirmed the reliability of the new water mapping methodology developed. We expect that this methodology can contribute to seasonal and annual change analysis of the global water cover as well.

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Section: Introductionmentioning

confidence: 99%

Developing Superfine Water Index (SWI) for Global Water Cover Mapping Using MODIS Data

et al. 2015

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“…Bathymetric lidar is an adaptation of the more traditional airborne topographic lidar (Guenther et al, 2002; see the Appendix) and has become increasingly common in the literature in the last 2 decades (Brock and Purkis, 2009). Recently, they have been combined into topo-bathymetric lidar, which are multispectral systems that enable data collection both above land and water; when flying over the water, a green laser -characteristic of bathymetric lidar -penetrates the sea surface and collects information on the water column and the seafloor, while the red/infrared laser -characteristic of topographic lidar -collects information on the sea surface.…”

Section: Bathymetric Lidarmentioning

confidence: 99%

“…Bathymetric lidar is the only technique that can collect high-resolution data in very shallow waters, which makes it especially relevant for coastal applications requiring finescale data (< 1 m resolution) (Brock and Purkis, 2009). The efficiency of bathymetric lidar systems is greatly limited by turbidity, wave action, depth (up to 50-70 m in exceptionally good conditions), steep slopes, and rocky substrate Chust et al, 2010;Jalali et al, 2015).…”

Section: Bathymetric Lidarmentioning

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.

170

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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“…Hazardous coastal inundation is escalating in vulnerable ecosystems [1,2] resulting in the need to accurately predict inundation in coastal areas that are impacted by natural disasters [3,[4][5][6]. Detailed light detection and ranging (lidar) elevation surfaces are important for understanding the likely impacts and vulnerability of coastal inundation from storm surge, flooding events, and sea-level rise [3,[7][8][9][10].…”

Section: Introduction/backgroundmentioning

confidence: 99%

Evaluation of Airborne Lidar Elevation Surfaces for Propagation of Coastal Inundation: The Importance of Hydrologic Connectivity

Poppenga

Worstell

2015

Remote Sensing

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Detailed information about coastal inundation is vital to understanding dynamic and populated areas that are impacted by storm surge and flooding. To understand these natural hazard risks, lidar elevation surfaces are frequently used to model inundation in coastal areas. A single-value surface method is sometimes used to inundate areas in lidar elevation surfaces that are below a specified elevation value. However, such an approach does not take into consideration hydrologic connectivity between elevation grids cells resulting in inland areas that should be hydrologically connected to the ocean, but are not. Because inland areas that should drain to the ocean are hydrologically disconnected by raised features in a lidar elevation surface, simply raising the water level to propagate coastal inundation will lead to inundation uncertainties. We took advantage of this problem to identify hydrologically disconnected inland areas to point out that they should be considered for coastal inundation, and that a lidar-based hydrologic surface should be developed with hydrologic connectivity prior to inundation analysis. The process of achieving hydrologic connectivity with hydrologic-enforcement is not new, however, the application of hydrologically-enforced lidar elevation surfaces for improved coastal inundation mapping as approached in this research is innovative. In this article, we propagated a OPEN ACCESSRemote Sens. 2015, 7 11696 high-resolution lidar elevation surface in coastal Staten Island, New York to demonstrate that inland areas lacking hydrologic connectivity to the ocean could potentially be included in inundation delineations. For inland areas that were hydrologically disconnected, we evaluated if drainage to the ocean was evident, and calculated an area exceeding 11 ha (~0.11 km 2 ) that could be considered in inundation delineations. We also assessed land cover for each inland area to determine the type of physical surfaces that would be potentially impacted if the inland areas were considered as part of a coastal inundation. A visual analysis indicated that developed, medium intensity and palustrine forested wetland land cover types would be impacted for those locations. This article demonstrates that hydrologic connectivity is an important factor to consider when inundating a lidar elevation surface. This information is needed for inundation monitoring and management in sensitive coastal regions.

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The Emerging Role of Lidar Remote Sensing in Coastal Research and Resource Management

Cited by 166 publications

References 25 publications

Developing Superfine Water Index (SWI) for Global Water Cover Mapping Using MODIS Data

Developing Superfine Water Index (SWI) for Global Water Cover Mapping Using MODIS Data

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

Evaluation of Airborne Lidar Elevation Surfaces for Propagation of Coastal Inundation: The Importance of Hydrologic Connectivity

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