&lt;title&gt;Prediction of bathymetric lidar performance with Ocean Scientific 2001 simulation code&lt;/title&gt;

Feigels, Victor I.; Evans, B. T. N.; Feygels, Lev; Guenther, Gary C.; Kopilevich, Yurij I.

doi:10.1117/12.452826

Cited by 5 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This equation is directly solvable for the maximum depth D max according to [22] (under the assumption that NEP is independent of R which is true during low light conditions):…”

Section: Basic Relations and System Parametersmentioning

confidence: 99%

See 1 more Smart Citation

Feasibility study for airborne fluorescence/reflectivity lidar bathymetry

et al. 2012

View full text Add to dashboard Cite

There is a demand from the authorities to have good maps of the coastal environment for their exploitation and preservation of the coastal areas. The goal for environmental mapping and monitoring is to differentiate between vegetation and non-vegetated bottoms and, if possible, to differentiate between species. Airborne lidar bathymetry is an interesting method for mapping shallow underwater habitats. In general, the maximum depth range for airborne laser exceeds the possible depth range for passive sensors. Today, operational lidar systems are able to capture the bottom (or vegetation) topography as well as estimations of the bottom reflectivity using e.g. reflected bottom pulse power. In this paper we study the possibilities and advantages for environmental mapping, if laser sensing would be further developed from single wavelength depth sounding systems to include multiple emission wavelengths and fluorescence receiver channels. Our results show that an airborne fluorescence lidar has several interesting features which might be useful in mapping underwater habitats. An example is the laser induced fluorescence giving rise to the emission spectrum which could be used for classification together with the elastic lidar signal. In the first part of our study, vegetation and substrate samples were collected and their spectral reflectance and fluorescence were subsequently measured in laboratory. A laser wavelength of 532 nm was used for excitation of the samples. The choice of 532 nm as excitation wavelength is motivated by the fact that this wavelength is commonly used in bathymetric laser scanners and that the excitation wavelengths are limited to the visual region as e.g. ultraviolet radiation is highly attenuated in water. The second part of our work consisted of theoretical performance calculations for a potential real system, and comparison of separability between species and substrate signatures using selected wavelength regions for fluorescence sensing.

show abstract

“…This equation is directly solvable for the maximum depth D max according to [22] (under the assumption that NEP is independent of R which is true during low light conditions):…”

Section: Basic Relations and System Parametersmentioning

confidence: 99%

“…We have followed the method and formulas presented by Feygels et.al. [22] to estimate this noise component. …”

Section: Basic Relations and System Parametersmentioning

confidence: 99%