Results 21 to 30 of about 144 (135)
Remote Sensing, 2022 The purpose of this study is to include rain effects in wind field retrieval from C-band synthetic aperture radar (SAR) imagery collected under tropical cyclone conditions.
Weizeng Shao +5 more
doaj +1 more source
Remote Sensing, 2017 This study analyzed the noise equivalent sigma zero (NESZ) and ocean wind sensitivity for Chinese C-band Gaofen-3 (GF-3) quad-polarization synthetic aperture radar (SAR) measurements to facilitate further operational wind extraction from GF-3 data.
Lin Ren +6 more
doaj +1 more source
Remote Sensing, 2020 In this paper, we presented a method for retrieving sea surface wind speed (SSWS) from Sentinel-1 synthetic aperture radar (SAR) horizontal-horizontal (HH) polarization data in extra-wide (EW) swath mode, which have been extensively acquired over the ...
Xiao-Ming Li, Tingting Qin, Ke Wu
doaj +1 more source
Drones, 2022 Currently, unmanned aerial vehicles (UAVs) are widely used due to their low cost and flexibility. In particular, they are used in remote sensing as airborne platforms for various instruments.
Alexey Nekrasov +2 more
doaj +1 more source
Preliminary analysis of wave retrieval from Chinese Gaofen-3 SAR imagery in the Arctic Ocean
European Journal of Remote Sensing, 2022 Synthetic aperture radar (SAR) is a powerful tool for sea surface monitoring. The 2017–2020 mission of the Chinese Gaofen-3 (GF-3) over the Arctic Ocean provided a unique opportunity to investigate the feasibility of wave retrieval in the Arctic Ocean ...
Wei-Zeng Shao +5 more
doaj +1 more source
Derivation of Sea Surface Wind Directions from TerraSAR-X Data Using the Local Gradient Method
Remote Sensing, 2016 Derivation of sea surface wind direction is a key step of sea surface wind retrieval from spaceborne Synthetic Aperture Radar (SAR) data. This technical note describes an implementation of the Local Gradient (LG) method to derive sea surface wind ...
Yi-Ran Wang, Xiao-Ming Li
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European Journal of Remote Sensing, 2021 In this study, a re-tuned algorithm based on the geophysical model function (GMF) C-SARMOD2 is proposed to retrieve wind speed from Synthetic Aperture Radar (SAR) imagery collected by the Chinese C-band Gaofen-3 (GF-3) SAR.
Weizeng Shao +4 more
doaj +1 more source
Ocean Wind Retrieval Models for RADARSAT Constellation Mission Compact Polarimetry SAR
Remote Sensing, 2018 We propose two new ocean wind retrieval models for right circular-vertical (RV) and right circular-horizontal (RH) polarizations respectively from the compact-polarimetry (CP) mode of the RADARSAT Constellation Mission (RCM), which is scheduled to be ...
Tianqi Sun +7 more
doaj +1 more source
Development of X-Band Geophysical Model Function for Sea Surface Wind Speed Retrieval with ASNARO-2
AtmosphereIn the present study, a new geophysical model function (GMF) is developed for the X-band synthetic aperture radar (SAR) on board the Advanced Satellite with New System Architecture for Observation-2 (ASNARO-2) to retrieve accurate offshore wind speeds ...
Yuko Takeyama, Shota Kurokawa
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Remote Sensing, 2019 We investigated the use of C-band RADARSAT Constellation Mission (RCM) synthetic aperture radar (SAR) for retrieval of ocean surface wind speeds by using four new channels (right circular transmit, vertical receive (RV); right circular transmit ...
He Fang +7 more
doaj +1 more source