Fine-Scale Sea Ice Structure Characterized Using Underwater Acoustic Methods
نویسندگان
چکیده
منابع مشابه
Fine-Scale Sea Ice Structure Characterized Using Underwater Acoustic Methods
Antarctic sea ice is known to provide unique ecosystem habitat at the ice–ocean interface. Mapping sea ice characteristics—such as thickness and roughness—at high resolution from beneath the ice is difficult due to access. A Geoswath Plus phase-measuring bathymetric sonar mounted on an autonomous underwater vehicle (AUV) was employed in this study to collect data underneath the sea ice at Cape ...
متن کاملSensIs - Underwater acoustic network for ice-monitoring
Routing for low latency underwater acoustic network-communication is investigated. The application is monitoring of ice-threats to offshore operations in the Arctic to provide warnings that enable operators to react to such threats. The scenario produces relatively high traffic load, and the network should favour low delay and adequate reliability rather than energy usage minimization. The ICRP...
متن کاملSAR Sea Ice Recognition Using Texture Methods
With the development of remote sensing techniques, a vast amount of SAR sea ice imagery is being provided by satellite platforms. As an important aspect of measurement, monitoring, and understanding of sea ice evolution during the seasons, the generation of ice type maps is a fundamental step in the interpretation of these data. The abundant texture information in SAR imagery is useful for segm...
متن کاملEvaluation of underwater acoustic propagation model (Ray theory) in a river using Fluvial Acoustic Tomography System
Underwater acoustics is widely used in many applications, such as oceanography, marine biology, hydrography, fishery, etc. Different models are introduced to simulate the underwater acoustic propagation in the oceans and the seas. In this study, the Ray Theory model is used to simulate the acoustic wave propagation in a shallow-freshwater river (Gono River) located in western part of Japan. The...
متن کاملAutomatic Sea Floor Characterization based on Underwater Acoustic Image Processing
Automatic sea floor characterization is mainly based on the signal or image processing of the data acquired using an active acoustic system called sediment sonar. Each processing method suits a specific type of sonar, such as the monobeam, the multibeam, or the side-scan sonar. Most types of sonar offer a two dimensional view of the sea floor surface. Therefore, a high resolution image results ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Remote Sensing
سال: 2016
ISSN: 2072-4292
DOI: 10.3390/rs8100821