Results 21 to 30 of about 168,253 (302)
Eos, Transactions American Geophysical Union, 2004 Weather radar is an indispensable component for remote sensing of the atmosphere, and the data and products derived from weather radar are routinely used in climate and weather‐related studies to examine trends, structure, and evolution. The need for weather remote sensing is driven by the necessity to understand and explain a specific atmospheric ...
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Precipitation estimation over radar gap areas based on satellite and adjacent radar observations [PDF]
Atmospheric Measurement Techniques, 2015 Continuous rainfall measurements from ground-based radars are crucial for monitoring and forecasting heavy rainfall-related events such as floods and landslides.
Y.-R. Lee +3 more
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Quantification of Migration Birds Based on Polarimetric Weather Radar
Remote Sensing, 2023 Weather radar plays an important role in monitoring aerial animal migration, providing a stable data source for biological studies with large-scale coverage and consecutive-time samples.
Rui Wang +5 more
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Wildfire and Weather Radar: A Review [PDF]
Journal of Geophysical Research: Atmospheres, 2019 AbstractResearch in the pursuit of better understanding of fire behavior and fire‐atmosphere interaction has frequently encountered a dearth of observational data, especially from events that cause most impact. Here we show that meteorological radar has been demonstrated as an effective tool for profiling the microphysics, thermodynamics, and fire ...
Nicholas McCarthy +3 more
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Animal Migration Patterns Extraction Based on Atrous-Gated CNN Deep Learning Model
Remote Sensing, 2021 Weather radar data can capture large-scale bird migration information, helping solve a series of migratory ecological problems. However, extracting and identifying bird information from weather radar data remains one of the challenges of radar ...
Shuaihang Wang +5 more
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Doppler Spectrum Estimation by Ramanujan Fourier Transforms [PDF]
, 2009 The Doppler spectrum estimation of a weather radar signal in a classic way can be made by two methods, temporal one based in the autocorrelation of the successful signals, whereas the other one uses the estimation of the power spectral density PSD by ...
Bensebti, Messaoud, Lagha, Mohand
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Pulse compression for weather radars [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 1998 Wideband waveform techniques, such as pulse compression, allow for accurate weather radar measurements in a short data acquisition time. However, for extended targets such as precipitation systems, range sidelobes mask and corrupt observations of weak phenomena occurring near areas of strong echoes.
Ashok S. Mudukutore +2 more
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Surveillance Camera-Based Deep Learning Framework for High-Resolution Near Surface Precipitation Type Observation [PDF]
Atmospheric Measurement TechniquesUrban surveillance cameras offer a valuable resource for high spatiotemporal resolution observations of near surface precipitation type (SPT), with significant implications for sectors such as transportation, agriculture, and meteorology.
X. Wang +10 more
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RadarSLAM: Radar based Large-Scale SLAM in All Weathers
, 2020 Numerous Simultaneous Localization and Mapping (SLAM) algorithms have been presented in last decade using different sensor modalities. However, robust SLAM in extreme weather conditions is still an open research problem.
Hong, Ziyang, Petillot, Yvan, Wang, Sen
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Sense and Avoid Airborne Radar Implementations on a Low-Cost Weather Radar Platform
Aerospace, 2017 Traditionally, multi-mission applications in airborne radar are implemented through very expensive phased array architectures. The emerging applications from civilian surveillance, on the other hand, prefer low-cost and low-SWaP (space, weight and power)
Ramesh Nepal, Yan Zhang, William Blake
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