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11th ICRS Abstract book - Nova Southeastern University

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Oral Mini-Symposium 17: Emerging Techniques in Remote Sensing and Geospatial Analysis<br />

17-21<br />

A Comparative Assessment Of Lidar And Multibeam Sonar To Characterize Coral<br />

Reef Ecosystem<br />

Timothy BATTISTA* 1 , Bryan COSTA 1,2<br />

1 National Ocean Service, NOAA, Silver Spring, MD, 2 National Ocean Service, NOAA,<br />

Silver Spring<br />

A comparison of airborne LiDAR and ship-based mulitbeam sonar was conducted in<br />

southwest Puerto Rico to evaluate the efficacy of these systems in characterizing shallowwater<br />

coral reef environments (< 30 meters water depth). Multibeam sonar acquisition in<br />

shallow-water environments is prohibitive due to the relationship between swath width<br />

and water depth. The availability of comparable data products from airborne LiDAR<br />

(i.e., bathymetry and seafloor reflectance) provides an alternative to multibeam sonar<br />

surveys to collect seafloor characterization data. The test location, Abrir la Sierra<br />

conservation area, is comprised of a suitable diversity of topographic relief,<br />

geomorphological structure and biological cover types to test the utility of data derived<br />

from the respective remote sensing platforms. An evaluation was conducted to compare<br />

the efficiency, data integrity, and effectiveness of the LiDAR and multibeam sonar<br />

systems to discriminate meaningful landscape patterns. This analysis was conducted to<br />

allow resource managers and scientists to determine the most effective remote sensing<br />

platform to characterize shallow-water tropical marine environments.<br />

17-22<br />

Statistical Comparison Of Single-Beam Acoustic Backscatter (38 And 418 Khz)<br />

With Lidar-Derived Coral Reef Benthic Habitat Class And Topographic<br />

Complexity<br />

Greg FOSTER* 1 , Walker BRIAN 1 , Bernhard RIEGL 1<br />

1 National Coral Reef Institute, Dania Beach, FL<br />

Producing coral reef benthic habitat maps from acoustic backscatter has been hindered by<br />

uncertainties in interpreting the acoustic energy parameters E1 (roughness) and E2<br />

(hardness), typically limiting such maps to sediment classification schemes. In this study<br />

acoustic interpretation was guided by high-resolution LADS (Laser Airborne Depth<br />

Sounder) bathymetry. The acoustic survey was conducted in Palm Beach County, FL,<br />

from inshore sand to outer reef slope, using a multiplexed echosounder (BioSonics DT-X<br />

at 38 & 418 kHz). E1 and E2 values, empirically normalized to mean depth, were<br />

compared to spatially-coincident values of a LADS-derived proxy for topographic<br />

complexity (Reef-Volume) and eight LADS-delineated benthic habitat classes. The 38<br />

and 418 kHz E1 parameters were positively correlated with Reef-Volume, in agreement<br />

with the general empirical basis for bottom seabed classification. The opposite trend was<br />

observed for the 38 and 418 kHz E2 parameters, contrary to convention, which would<br />

predict an increasing trend of E2 from sand (soft, flat) to colonized pavement (hard, flat).<br />

Tukey HSD testing proved all four acoustic parameters capable of distinguishing between<br />

habitats; significant differences ranged from 25-27 of the k(k-1)/2=28 comparisons<br />

between the eight habitat categories. An a posteriori discriminant analysis of each<br />

frequency, pairing E1 and E2 as predictor variables, showed that the 418 kHz signal<br />

provided superior predictive accuracy for six (consolidated from eight) habitat classes<br />

(74.3 versus 68.2%). Consideration of all results reveals topographic complexity as the<br />

primary factor controlling both E1 and E2. The information encoded in the two<br />

frequencies is generally the same, with 418 kHz being better suited for discriminating<br />

between habitats of high complexity and 38 kHz for distinguishing between sand and<br />

sand-over-hardbottom. The LADS bathymetry proved useful for demonstrating that E1<br />

and E2 values of single-beam echosounders can indeed produce meaningful coral reef<br />

benthic habitat maps.<br />

17-23<br />

Measuring The Rough With The Smooth: Predicting Fish Species Richness Using Lidar<br />

Derived Surface Complexity<br />

Simon PITTMAN* 1 , Bryan COSTA 2 , Tim BATTISTA 2<br />

1 Biogeography Branch, NOAA & <strong>University</strong> of the Virgin Islands, St Thomas, Virgin Islands<br />

(U.S.), 2 Biogeography Branch, NOAA, Silver Spring, MD<br />

Coral reef ecosystems exhibit complex vertical and horizontal structural heterogeneity at a<br />

range of spatial scales. This heterogeneity plays an important ecological role in influencing the<br />

distribution, abundance and behaviour of marine organisms. For example, more complex<br />

structures typically support higher species richness than less complex structures. Measures of<br />

surface complexity in the marine environment have been widely used to quantify structural<br />

heterogeneity, yet most studies have focused at relatively fine (

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