Results 241 to 250 of about 1,588,278 (278)

An R-based integrated method for producing river bathymetry and cross-sections from recreational-grade sonar sensor data. [PDF]

MethodsX
Redana M, Carrero-Carralero E.
europepmc   +1 more source

Pitfalls and opportunities in estimating the volumes of small, young submarine landslides

Urlaub M, Sager TF, Berndt C.
europepmc   +1 more source

Long-Term Fluctuations in Cetacean Occurrence Derived From Whale-Watching Platforms Off Southwest Gran Canaria: Evaluating Their Potential as an Ecological Indicator. [PDF]

Ecol Evol
Herrera I, Ramos AG, Rodríguez-Santana Á, Haroun R.   +3 more
europepmc   +1 more source

Bathymetry Estimation From Single-Frame Images of Nearshore Waves [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2009
Existing methods for determining bathymetry from remotely sensed images of nearshore waves exploit only information on the magnitude of wavenumber (k = 2pi/L), ignoring spatial changes in wave direction thetas that can provide information about bathymetry gradients.
Kristen D Splinter, R A Holman, Robert A Holman   +2 more
exaly   +5 more sources

A Deep Learning Approach for Estimation of the Nearshore Bathymetry

Journal of Coastal Research, 2020
Benshila, R.; Thoumyre, G.; Al Najar, M.; Absessolo, G.; Almar, R.; Bergsma, E.; Hugonnard, G.; Labracherie, L.; Lavie, B.; Ragonneau, T.; Simon, E.; Vieuble, B., and Wilson D., 2020. A deep learning approach for estimation of the nearshore bathymetry. In: Malvarez, G. and Navas, F. (eds.), Global Coastal Issues of 2020.
Rafael Almar, Mahmoud Al Najar, Rachid Benshila   +2 more
exaly   +5 more sources

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Nearshore bathymetry estimation using UAV

Coastal Engineering Journal, 2018
An unmanned aerial vehicle (UAV)-based system is developed to flexibly survey nearshore bathymetry with high resolutions in both time and space.
Shinji Sato, Yoshinao Matsuba
exaly   +2 more sources

Adaptive wave tracing for coastal bathymetry estimation

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
Wave-based estimation of coastal bathymetry from satellite images is challenging because it often implies relying on ancillary data. Moreover, spatial resolution remains coarse compared to the image resolution because state-of-the-art wave analysis techniques decompose images into large-size patches.
Danilo, Celine Gabrielle Therese, Melgani, Farid   +1 more
openaire   +3 more sources

Rapid estimation of bathymetry from multispectral imagery without in situ bathymetry data

Applied Optics, 2019
Optimization-based semi-analytical methods (OSMs) and empirical methods (EMs) have been developed to derive bathymetry maps from satellite-based multispectral data of coral reefs, allowing for the management, monitoring, and protection of coral reefs.
Yongming Liu, Ruru Deng, Yan Qin, Bin Cao, Yeheng Liang, Yingfei Liu, Jianlin Tian, Shuailei Wang   +7 more
openaire   +2 more sources

Blending bathymetry: Combination of image-derived parametric approximations and celerity data sets for nearshore bathymetry estimation

Coastal Engineering
Estimation of nearshore bathymetry is important for accurate prediction of nearshore wave conditions. However, direct data collection is expensive and time-consuming while accurate airborne lidar-based survey is limited by breaking waves and decreased light penetration affected by water turbidity.
Tyler Hesser, Jonghyun Lee, Matthew Farthing   +2 more
exaly   +3 more sources