Results 21 to 30 of about 252,409 (330)

Research on Shore-Based River Flow Velocity Inversion Model Using GNSS-R Raw Data

open access: yesRemote Sensing, 2022
Global navigation satellite system reflectometry technology (GNSS-R) is rarely used for river flow velocity inversion, and in particular, there is currently no research using the BeiDou Navigation Satellite System reflectometry technology (BDS-R) for ...
Yun Zhang   +7 more
doaj   +1 more source

Lateral velocity measurement and error analysis

open access: yesThe Journal of Engineering, 2019
Most existing velocity measurement methods can only calculate the radial velocity by Doppler effect. Here, the authors study the method of measuring the lateral velocity.
Mengye Qiang, Yechao Bai, Xinggan Zhang
doaj   +1 more source

Measuring ocean total surface current velocity with the KuROS and KaRADOC airborne near-nadir Doppler radars: a multi-scale analysis in preparation for the SKIM mission

open access: yesOcean Science (OS), 2020
. Surface currents are poorly known over most of the world's oceans. Satellite-borne Doppler wave and current scatterometers (DWaCSs) are among the proposed techniques to fill this observation gap. The Sea surface KInematics Multiscale (SKIM) proposal is
L. Marié   +15 more
semanticscholar   +1 more source

Comparison of Doppler-Derived Sea Ice Radial Surface Velocity Measurement Methods From Sentinel-1A IW Data

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
The near-instantaneous radial velocity of a target can be obtained using the Doppler effect of synthetic aperture radar (SAR), which is widely used in ocean current retrieval.
Ruifu Wang   +4 more
doaj   +1 more source

Joint Range-Velocity-Azimuth Estimation for OFDM-Based Integrated Sensing and Communication [PDF]

open access: yesIEEE Transactions on Wireless Communications, 2023
Orthogonal frequency division multiplexing (OFDM)-based integrated sensing and communication (ISAC) is promising for future sixth-generation mobile communication systems.
Zelin Hu   +4 more
semanticscholar   +1 more source

Development of High-Precision Urban Flood-Monitoring Technology for Sustainable Smart Cities

open access: yesSensors, 2023
Owing to rapid climate change, large-scale floods have occurred yearly in cities worldwide, causing serious damage. We propose a real-time urban flood-monitoring technology as an urban disaster prevention technology for sustainable and secure smart ...
Bong-Joo Jang, Intaek Jung
doaj   +1 more source

GNSS DOPPLER VELOCITY BASED ON ADAPTIVE ROBUST KALMAN FILTERING [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
The main factors affecting the error of Doppler velocity measurement mainly come from the measurement errors of GNSS data, influence of different motion states on GNSS velocity measurement and the noise of different receiver types.
H. Liu   +5 more
doaj   +1 more source

Time-Varying Kelvin Wake Model and Microwave Velocity Observation

open access: yesSensors, 2020
In the synthetic aperture radar (SAR) imaging of ship-induced wakes, it is difficult to obtain the Doppler velocity of a Kelvin wake due to the lack of time-varying wake models and suitable radar equipment.
Jie Niu, Xingdong Liang, Xin Zhang
doaj   +1 more source

Transfer Alignment Configuration Based on Angular Velocity and Angular Velocity Integral Applied to Marine Vehicles [PDF]

open access: yesAUT Journal of Modeling and Simulation, 2022
Transfer alignment of master and slave systems plays a key role in the inertial navigation accuracy of the marine cooperative vehicles. Accuracy enhancement of misalignment angle and orientation estimation is the main purpose of the transfer alignment ...
Mostafa Amuei   +3 more
doaj   +1 more source

Evaluation of gridded scanning ARM cloud radar reflectivity observations and vertical doppler velocity retrievals [PDF]

open access: yesAtmospheric Measurement Techniques, 2013
Abstract. The scanning Atmospheric Radiation Measurement (ARM) cloud radars (SACRs) provide continuous atmospheric observations aspiring to capture the 3-D cloud-scale structure. Sampling clouds in 3-D is challenging due to their temporal–spatial scales, the need to sample the sky at high elevations and cloud radar limitations.
K. Lamer   +3 more
openaire   +3 more sources

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