Results 1 to 10 of about 21,443 (153)

Optical Satellite-Derived Bathymetry: An Overview and WoS and Scopus Bibliometric Analysis

open access: yesRemote Sensing, 2023
A technical and scientific overview regarding satellite-derived bathymetry (SDB)—one of the most promising and relatively cheap methods of shallow water depth determination—is presented.
Tea Duplančić Leder   +3 more
doaj   +5 more sources

Satellite-Derived Bathymetry for Selected Shallow Maltese Coastal Zones

open access: yesApplied Sciences, 2023
Bathymetric information has become essential to help maintain and operate coastal zones. Traditional in situ bathymetry mapping using echo sounders is inefficient in shallow waters and operates at a high logistical cost.
Gareth Darmanin   +4 more
doaj   +5 more sources

Automated high-resolution satellite-derived coastal bathymetry mapping

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2022
Accurate and up-to-date maps of coastal bathymetry are fundamental for coastal resource management, commercial and military navigation, and aquaculture, among many applications.
Matthew J. McCarthy   +3 more
doaj   +2 more sources

Satellite Derived Bathymetry Using Machine Learning and Multi-Temporal Satellite Images

open access: yesRemote Sensing, 2019
Shallow water bathymetry is important for nautical navigation to avoid stranding, as well as for the scientific simulation of high tide and high waves in coastal areas.
Tatsuyuki Sagawa   +3 more
doaj   +3 more sources

A MACHINE LEARNING APPROACH TO MULTISPECTRAL SATELLITE DERIVED BATHYMETRY [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Bathymetry in coastal environment plays a key role in understanding erosion dynamics and evolution along coasts. In the presented investigation depth along the shore-line was estimated using different multispectral satellite data. Training and validation
F. Tonion   +5 more
doaj   +4 more sources

Satellite-derived bathymetry using machine learning and optimal Sentinel-2 imagery in South-West Florida coastal waters

open access: yesGIScience & Remote Sensing, 2022
This study examines the use of the Multi-Spectral Instrument (MSI) in Sentinel-2 satellite in combination with regression-based random forest models to estimate bathymetry along the extended southwestern Florida nearshore region.
S.S.J.D. Mudiyanselage   +3 more
doaj   +2 more sources

Cubesats Allow High Spatiotemporal Estimates of Satellite-Derived Bathymetry [PDF]

open access: yesRemote Sensing, 2019
High spatial and temporal resolution satellite remote sensing estimates are the silver bullet for monitoring of coastal marine areas globally. From 2000, when the first commercial satellite platforms appeared, offering high spatial resolution data, the ...
Dimitris Poursanidis   +3 more
doaj   +4 more sources

Satellite-Derived Bathymetry for Improving Canadian Hydrographic Service Charts [PDF]

open access: yesISPRS International Journal of Geo-Information, 2018
Approximately 1000 Canadian Hydrographic Service (CHS) charts cover Canada’s oceans and navigable waters. Many charts use information collected with techniques that predate the more advanced technologies available to Hydrographic Offices (HOs ...
René Chénier   +2 more
doaj   +2 more sources

An Approach to Minimize Atmospheric Correction Error and Improve Physics-Based Satellite-Derived Bathymetry in a Coastal Environment

open access: yesRemote Sensing, 2020
Physics-based radiative transfer model (RTM) inversion methods have been developed and implemented for satellite-derived bathymetry (SDB); however, precise atmospheric correction (AC) is required for robust bathymetry retrieval.
Christopher O. Ilori, Anders Knudby
doaj   +3 more sources

Evaluation of Depth Anything Models for Satellite-Derived Bathymetry [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The emergence of foundation models has driven major advancements in computer vision and natural language processing, primarily due to their strong zero-shot and few-shot capabilities powered by large-scale, diverse datasets. While earlier approaches used
E. Günaydın   +3 more
doaj   +4 more sources

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