Results 281 to 290 of about 116,854 (310)
Some of the next articles are maybe not open access.

A Cloud-Based Framework for the Quantification of the Uncertainty of a Machine Learning Produced Satellite-Derived Bathymetry

Remote Sensing
The estimation of accurate and precise Satellite-Derived Bathymetries (SDBs) is important in marine and coastal applications for a better understanding of the ecosystems and science-based decision-making.
Spyridon Christofilakos   +6 more
semanticscholar   +1 more source

Machine learning approaches for satellite-derived bathymetry in tropical coastal waters: A comparative study from Nha Trang marine protected area, Vietnam

Vietnam Journal of Earth Sciences
Bathymetry mapping plays a critical role in coastal zone management, marine conservation, and navigation safety. With the increasing availability of high-resolution satellite imagery, such as PlanetScope (3−5 m), remote sensing-based bathymetry retrieval
Hieu Nguyen Trinh Duc   +11 more
semanticscholar   +1 more source

Shallow Water Bathymetry Derived by Machine Learning and Multitemporal Satellite Images

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Shallow water bathymetry is essential information for coastal science and nautical navigation. In this study, a satellite derived bathymetry (SDB) map, considered suitable for shallow water, was created using random forests (RF) and multi-temporal satellite images from Google Earth Engine.
Tatsuyuki Sagawa   +3 more
openaire   +1 more source

Improving Satellite-Derived Bathymetry Estimation With a Joint Classification–Regression Model

IEEE Geoscience and Remote Sensing Letters
Emerging deep learning methods for satellite-derived bathymetry (SDB), in which water depth is estimated using satellite band reflectance values, typically treat the problem as either classification or regression tasks, which can underperform ...
Girish Kumar Gupta   +2 more
openaire   +2 more sources

Testing Approaches and Sensors for Satellite-Derived Bathymetry in Nunavut

2020
Nearshore bathymetry in the Canadian Arctic is poorly surveyed, but is vital knowledge for coastal communities that rely on marine transportation for resources and development. Nautical charts currently available are often outdated and surveying by traditional methods is both time consuming and expensive.
openaire   +2 more sources

SATELLITE DERIVED BATHYMETRY – LOW COST SURVEY SYSTEMS [PDF]

open access: possible, 2017
Satellite Derived Bathymetry (SDB) uses satellite or other remote multispectral imagery for depth determination. Recent advances in satellite technology (spectral, radiometric, temporal and spatial resolution improved) have increased the potential of this method as a source of hydrographic data. This method became widely used in the last few years. SDB
Duplančić Leder, Tea, Leder, Nenad
openaire   +1 more source

An Empirical Evaluation of the Localised Accuracy of Satellite-Derived Bathymetry and SDB Depth Change

Marine Geodesy
The weakness of global metrics for assessing the accuracy of satellite-derived bathymetry (SDB) is demonstrated and the magnitude of local accuracy variability quantified.
Kim Lowell, Yuri Rzhanov
semanticscholar   +1 more source

Satellite-derived bathymetry

Hydrographische Nachrichten, 2017
Hartmann, Knut   +3 more
openaire   +2 more sources

SATELLITE-DERIVED BATHYMETRY ONLINE

International Hydrographic Review, 2022
openaire   +1 more source

Home - About - Disclaimer - Privacy