Results 61 to 70 of about 92,051 (340)

PlanetScope and Landsat 8 Imageries for Bathymetry Mapping

Journal of Marine Science and Engineering, 2020
Bathymetry has a great importance in coastal projects. Obtaining proper bathymetric information is necessary for navigation, numerical modeling, and coastal zone management studies.
Bassam Gabr, Mostafa Ahmed, Yehia Marmoush   +2 more
doaj   +1 more source

Nautical Chart Adequacy Evaluation Using Publicly-Available Data [PDF]

, 2015
The International Hydrographic Office (IHO) C-55 publication communicates the need to improve the collection, quality and availability of hydrographic data world-wide, while also monitoring and rectifying possible deficiencies and shortcomings that are ...
Freire, Ricardo, Klemm, Anthony, Nyberg, John, Pe\u27eri, Shachak, Smith, Shep M, LT   +4 more
core   +1 more source

Dynamics of wind-driven upwelling and relaxation between Monterey Bay and Point Arena: Local-, regional-, and gyre-scale controls [PDF]

, 2009
In north and central California, equatorward winds drive equatorward flows and the upwelling of cold dense water over the shelf during the midspring and summer upwelling season.
Dever, Edward P, Pringle, James M.
core   +2 more sources

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

River Research and Applications, EarlyView.
ABSTRACT Water resource management requires accurate observations of streamflow but standard field methods for measuring river discharge (Q$$ Q $$) 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
Carl J. Legleiter, Inhyeok Bae
wiley   +1 more source

Design and Implementation of a Dual Uncrewed Surface Vessel Platform for Bathymetry Research Under High-Flow Conditions

IEEE Access
Bathymetry, the study of underwater depth and topography, relies on detailed sonar mapping of the underwater structures. These measurements, critical for infrastructure health monitoring and hazard detection, often require prohibitively expensive sensory
Dinesh Kumar, Amin Ghorbanpour, Kin Yen, Iman Soltani   +3 more
doaj   +1 more source

Breaking down seagrass fragmentation in a marine heatwave impacted World Heritage Area

Remote Sensing in Ecology and Conservation, EarlyView.
Habitat fragmentation can exacerbate the impacts of habitat loss but is rarely quantified in marine environments. Using satellite‐derived habitat maps, we identify widespread seagrass fragmentation following a marine heatwave that contributed to a dramatic shift in seascape structure in the Shark Bay World Heritage Area.
Michael D. Taylor, Simone Strydom, Matthew W. Fraser, Ana M. M. Sequeira, Gary A. Kendrick   +4 more
wiley   +1 more source

Satellite remote sensing and bathymetry co-driven deep neural network for coral reef shallow water benthic habitat classification

International Journal of Applied Earth Observations and Geoinformation
Shallow-water benthic habitat classification of coral reefs based on satellite remote sensing is an important part of coral reef monitoring. Leveraging its potent capacity for feature learning, and generalization, deep learning emerges as a robust method
Hui Chen, Jian Cheng, Xiaoguang Ruan, Jizhe Li, Li Ye, Sensen Chu, Liang Cheng, Ka Zhang   +7 more
doaj   +1 more source

Review : Bathymetry Mapping Using Underwater Acoustic Technology

JGEET: Journal of Geoscience, Engineering, Environment and Technology, 2019
The bathymetry mapping using underwater acoustic technology very important in Indonesia waters. Bathymetry is the result of measuring the height of the seabed so that the bathymetric map provides information about the seabed, where this information can ...
Muhammad Zainuddin Lubis, Sri Pujiyati, Budhi Agung Prasetyo, Tiggi Choanji   +3 more
doaj   +1 more source

Habitat mapping effort at the Olympic Coast National Marine Sanctuary – Current status and future needs [PDF]

, 2006
With elevating interest to establish conservation efforts for groundfish stocks and continued scrutiny over the value of marine protected areas along the west coast, the importance of enhancing our knowledge of seabed characteristics through mapping ...
Intelmann, Steven S.
core  

Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park

Remote Sensing in Ecology and Conservation, EarlyView.
A comparison of Convolutional Neural Network (CNN) and Random Forest (RF) model predictions of benthic habitats within Apollo Marine Park. The CNN (left) and RF (right) classification maps show the spatial distribution of three habitat types: high energy circalittoral rock with seabed‐covering sponges, low complexity circalittoral rock with non‐crowded
Henry Simmons, Dang Nguyen, Benjamin Misiuk, Daniel Ierodiaconou, Sunil Gupta, Oli Dalby, Mary Young   +6 more
wiley   +1 more source