Results 91 to 100 of about 182,284 (271)

Capturing the Multi‐Decadal Evolution of Glacier–Permafrost Interactions in a High‐Alpine Environment (Ritord, Western Swiss Alps)

open access: yesPermafrost and Periglacial Processes, EarlyView.
ABSTRACT This study investigates the multi‐decadal evolution of a glacier forefield under permafrost conditions in the Combins Massif (western Swiss Alps). A multi‐method approach based on historical and recent datasets is used to analyze its landform components.
Julie Wee   +2 more
wiley   +1 more source

DETERMINING THE DISTANCE TO THE TARGET IN PASSIVE RADAR OF SURFACE OBJECTS [PDF]

open access: yesRadio Physics and Radio Astronomy
Subject and Purpose. While outperforming active radar methods for range, stealth, and energy consumption, passive radar has a significant disadvantage: it cannot determine the target distance and coordinates when only one reference receiving point is ...
I. M. Mytsenko, O. M. Roenko
doaj  

Towards a Cognitive Radar: Canada’s Third-Generation High Frequency Surface Wave Radar (HFSWR) for Surveillance of the 200 Nautical Mile Exclusive Economic Zone

open access: yesSensors, 2017
Canada’s third-generation HFSWR forms the foundation of a maritime domain awareness system that provides enforcement agencies with real-time persistent surveillance out to and beyond the 200 nautical mile exclusive economic zone (EEZ).
Anthony Ponsford   +4 more
doaj   +1 more source

The applicability of neural networks to ionospheric modeling in support of relocatable over-the-horizon radar [PDF]

open access: yes, 1994
Ionospheric models have been developed to interpret Relocatable Over-the-Horizon Radar data. This thesis examines the applicability of neural networks to ionospheric modeling in support of Relocatable Over-the-Horizon Radar. Two neural networks were used
Pinkepank, James Alan
core  

Synergy between synthetic aperture radar and other sensors for the remote sensing of the ocean

open access: yes, 2001
Over the last decades, satellite remote sensing has proved to be a valuable and effective tool for monitoring physical and biological ocean processes. However there are cases where data from one remote sensor alone cannot be interpreted unambiguously. In
Ufermann, Susanne   +2 more
core   +1 more source

Correcting the radar rainfall forcing of a hydrological model with data assimilation: application to flood forecasting in the Lez Catchment in Southern France [PDF]

open access: yes, 2012
The present study explores the application of a data assimilation (DA) procedure to correct the radar rain- fall inputs of an event-based, distributed, parsimonious hy- drological model.
Piacentini, Andrea   +14 more
core   +1 more source

“Cold Tropics”: Permafrost Existence and Thickness on Eastern Nevado Coropuna (Southern Peruvian Andes) Revealed by Ground‐Penetrating Radar and Geoelectrical Soundings

open access: yesPermafrost and Periglacial Processes, EarlyView.
ABSTRACT The existence of permafrost was explored at tropical latitude on Nevado Coropuna (southern Peruvian Andes) using a combination of ground‐penetrating radar (GPR) and vertical electrical sounding (VES) in order to strengthen the mutual validation of data processing and interpretation.
Velnia Chacca   +6 more
wiley   +1 more source

Fundamental aspects of netted radar performance

open access: yes, 2010
Netted radar employs several spatially distributed transmitters and receivers for information retrieval. This system topology offers many advantages over traditional monostatic and bistatic systems which use a single transmitter and a single receiver ...
Teng, Y.
core  

Polar‐low track prediction using machine‐learning methods

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang   +4 more
wiley   +1 more source

Land-sea Clutter Classification Method Based on Multi-channel Graph Convolutional Networks

open access: yesLeida xuebao
Land-sea clutter classification is essential for boosting the target positioning accuracy of skywave over-the-horizon radar. This classification process involves discriminating whether each azimuth-range cell in the Range-Doppler (RD) map is overland or ...
Can LI   +3 more
doaj   +1 more source

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