Results 1 to 10 of about 1,665 (179)
Coastal Wetland Classification with GF-3 Polarimetric SAR Imagery by Using Object-Oriented Random Forest Algorithm [PDF]
Sensors, 2021 When the use of optical images is not practical due to cloud cover, Synthetic Aperture Radar (SAR) imagery is a preferred alternative for monitoring coastal wetlands because it is unaffected by weather conditions.
Xiaotong Zhang +4 more
doaj +2 more sources
Vadose Zone Journal, Volume 25, Issue 4, July/August 2026.Abstract National Oceanic and Atmospheric Administration–National Environmental Satellite, Data, and Information Service (NESDIS) developed the Soil Moisture Operational Product System (SMOPS) to serve as a one‐stop shop for all available microwave satellite soil moisture observations.
Jifu Yin +5 more
wiley +1 more source
Polarimetric SAR Speckle Reduction Based on Bilateral Filtering
Leida xuebao, 2014 The priority during speckle reduction in Polarimetric Synthetic Aperture Radar (Pol-SAR) data is to maintain the polarization information. For this reason, it is undesirable to separate each element of polarimetric SAR.
Wang Shuang +4 more
doaj +1 more source
Oil Spill Discrimination by Using General Compact Polarimetric SAR Features
Remote Sensing, 2020 Ocean surveillance is one of the important applications of synthetic aperture radar (SAR). Polarimetric SAR provides multi-channel information and shows great potential for monitoring ocean dynamic environments.
Junjun Yin +3 more
doaj +1 more source
Flood Inundation Modeling Using the Surface Water Ocean Topography Mission
Water Resources Research, Volume 62, Issue 7, July 2026.Abstract Flood risk mapping requires detailed river bathymetry, yet these data are unavailable for most rivers. We propose a new algorithm to estimate river bathymetry from multitemporal observations of water height by the Surface Water and Ocean Topography (SWOT) mission.
Jeffrey C. Neal +7 more
wiley +1 more source
Canadian Journal of Remote Sensing, 2018 Agriculture is an important sector in Canada, and annual crop inventories are required in many agricultural applications. Multi-temporal polarimetric synthetic aperture radar (SAR) data have great potential in crop classification due to its less ...
Chunhua Liao +3 more
doaj +1 more source
Space Weather, Volume 24, Issue 6, June 2026.Abstract ST‐Observer is a novel proposed spatiotemporal prediction model based on dynamic system theory, which has been proven to be superior to existing models in multiple spatiotemporal prediction tasks. However, its structural design results in weak time dependent modeling capabilities and a lack of frequency dependent modeling capabilities.
Liwei Sun +6 more
wiley +1 more source
The Journal of Engineering, 2019 Scattering entropy (H), scattering angle (α) and anti-entropy (A) are useful parameters in synthetic aperture radar (SAR) image classification. Usually, full-polarimetric SAR data are needed to extract these parameters. In this study, the authors firstly
Juan Zhang +3 more
doaj +1 more source
Improved Tropical Cyclone Wind Estimation Using Dual‐Polarization C‐Band SAR and Machine Learning
Earth and Space Science, Volume 13, Issue 5, May 2026.Abstract Tropical cyclones (TCs) characterized by extreme wind speeds present severe hazards to human life and infrastructure. Spaceborne synthetic aperture radar (SAR) has emerged as a critical observational tool for TCs, owing to its all‐weather, high‐resolution imaging capabilities.
Chaogang Guo +5 more
wiley +1 more source
Soil moisture retrieval under wheat crop using RISAT-1 hybrid polarimetric SAR data
Journal of Agrometeorology, 2019 The study aims to retrieve soil moisture from RISAT-1 hybrid polarimetric SAR data. Although the use of linear polarimetric SAR data has been well understood and documented, but hybrid polarimetric SAR data is grossly under explored and under reported ...
P.K. SHARMA +4 more
doaj +1 more source