Results 131 to 140 of about 23,160 (275)

Mapping River Bed Topography in Whitewater Rapids Using Bathymetric LiDAR

River Research and Applications, Volume 42, Issue 4, Page 886-900, May 2026.
ABSTRACT Bathymetric LiDAR captures river topography efficiently for clear and shallow water, but for mountain rivers, whitewater rapids still pose challenges. This study proposes a novel method to enable the extraction of bottom returns specifically in turbulent whitewater sections.
Jan Rhomberg‐Kauert, Theresa Himmelsbach, Florian Pöppl, Lucas Dammert, Martin Pfennigbauer, Gottfried Mandlburger   +5 more
wiley   +1 more source

Interactive 3-D Visualization: A tool for seafloor navigation, exploration, and engineering [PDF]

, 2000
Recent years have seen remarkable advances in sonar technology, positioning capabilities, and computer processing power that have revolutionized the way we image the seafloor.
Gardner, James V., Gee, Lindsay, Mayer, Larry A., Paton, Mark, Ware, Colin   +4 more
core   +2 more sources

Software to Support Remote Sensing of River Discharge Based on Critical Flow Theory

River Research and Applications, Volume 42, Issue 4, Page 915-928, May 2026.
ABSTRACT Water resource management requires accurate observations of streamflow but standard field methods for measuring river discharge ( Q ) can be costly and hazardous for equipment and personnel. Remote sensing has become a viable alternative, but many image‐based techniques require field data for calibration, and depth and velocity can seldom be ...
Carl J. Legleiter, Inhyeok Bae
wiley   +1 more source

Physics-Based Satellite-Derived Bathymetry (SDB) Using Landsat OLI Images

Remote Sensing
The estimation of depth in optically shallow waters using satellite imagery can be efficient and cost-effective. Active sensors measure the distance traveled by an emitted laser pulse propagating through the water with high precision and accuracy if the ...
Minsu Kim, Jeff Danielson, Curt Storlazzi, Seonkyung Park   +3 more
doaj   +1 more source

Seafloor Sediments, Morphologic Features, and Geotechnical Properties of Harrison Bay in the Alaskan Beaufort Sea

Earth and Space Science, Volume 13, Issue 5, May 2026.
Abstract Sediments on Arctic continental shelves are impacted by sea ice and ice‐related processes for up to 9 months per year. As a result, seabed morphology in cold regions can exhibit features such as ice scours which are absent on lower‐latitude shelves.
E. F. Eidam, N. Stark, J. H. Nienhuis, D. Duncan, N. Brilli, N. Kallioras, R. Smith, A. D. J. Heath   +7 more
wiley   +1 more source

Study of the time evolution of the lithosphere [PDF]

The behavior and mechanical properties of the lithosphere were studied. This is a prerequisite to an understanding of the mechanisms and processes that occur in the Earth's mantle, which are masked by the lithospere. Geoid heights derived from the GEOS-3
Roufosse, M. C.
core   +1 more source

Uncertainty Modeling for AUV Acquired Bathymetry [PDF]

, 2015
Autonomous Underwater Vehicles (AUVs) are used across a wide range of mission scenarios and from an increasingly diverse set of operators. Use of AUVs for shallow water (less than 200 meters) mapping applications is of increasing interest.
Byrne, Shannon, Schmidt, Val E.
core   +1 more source

A new approach to satellite-derived bathymetry: the use of NDWI and ANN with bathymetry sections for reservoir mapping

Boletim de Ciências Geodésicas
Abstract: Mapping the submerged bottom is a hampered task when traditional vessels are inserted in shallow places that pose a danger to navigation. In this sense, current research has sought optical remote sensing to obtain bathymetry estimates in larger locations in less time.
Laura Coelho de Andrade, Letícia Perpétuo Pinheiro, Italo Oliveira Ferreira, Nilcilene das Graças Medeiros, Arthur Amaral e Silva   +4 more
openaire   +2 more sources

Fusing Multi‐ and Hyperspectral Satellite Data for Harmful Algal Bloom Monitoring With Self‐Supervised and Hierarchical Deep Learning

Earth and Space Science, Volume 13, Issue 5, May 2026.
Abstract We present a self‐supervised machine learning framework for detecting and mapping the severity and speciation of harmful algal blooms (HABs) using multi‐sensor satellite data. By fusing reflectance data from operational polar‐orbiting satellite‐based instruments (VIIRS, MODIS, OLCI, and OCI) with TROPOMI solar‐induced fluorescence (SIF), our ...
Nicholas J. LaHaye, Kelly M. Luis, Michelle M. Gierach   +2 more
wiley   +1 more source

Latitude Dictates Global Marine Diatom Dynamics: Insights From 25 years of Satellite Data

Earth's Future, Volume 14, Issue 5, May 2026.
Abstract Marine diatoms are key players in global biogeochemical cycles, yet their spatiotemporal dynamics and the underlying drivers remain poorly understood. Here, we developed a novel remote sensing model and utilized 25 years of global satellite data to investigate marine diatom biomass.
Deyong Sun, Minghui Li, Shengqiang Wang, Cédric Jamet, Davide Dionisi, Zixu Ye, Peng Chen   +6 more
wiley   +1 more source