Copolarized and cross‐polarized SAR measurements for high‐resolution description of major hurricane wind structures: Application to Irma category 5 hurricane

A Mouche, B Chapron, J Knaff, Y Zhao… - Journal of …, 2019 - Wiley Online Library
C‐band high‐resolution radar (synthetic aperture radar [SAR]) is the only spaceborne
instrument able to probe at very high resolution and over all ocean basins the sea surface …

AI4SeaIce: Toward solving ambiguous SAR textures in convolutional neural networks for automatic sea ice concentration charting

A Stokholm, T Wulf, A Kucik, R Saldo… - … on Geoscience and …, 2022 - ieeexplore.ieee.org
Automatically producing Arctic sea ice charts from Sentinel-1 synthetic aperture radar (SAR)
images is challenging for convolutional neural networks (CNNs) due to ambiguous …

[HTML][HTML] Unlocking the full potential of Sentinel-1 for flood detection in arid regions

S Garg, A Dasgupta, M Motagh, S Martinis… - Remote Sensing of …, 2024 - Elsevier
Climate change has intensified flooding in arid and semi-arid regions, presenting a major
challenge for flood monitoring and map**. While satellites, particularly Synthetic Aperture …

[HTML][HTML] Monitoring loss of tropical forest cover from Sentinel-1 time-series: A CuSum-based approach

B Ygorra, F Frappart, JP Wigneron, C Moisy… - International journal of …, 2021 - Elsevier
The forest decline in tropical areas is one of the largest global environmental threats as the
growth of both global population and its needs have put an increasing pressure on these …

Thermal denoising of cross-polarized Sentinel-1 data in interferometric and extra wide swath modes

A Korosov, D Demchev, N Miranda… - … on Geoscience and …, 2021 - ieeexplore.ieee.org
An updated algorithm for the removal of thermal noise in Sentinel-1 synthetic aperture radar
(SAR) level-1 ground range detected (GRD) data in cross-polarization is presented. The …

Potential of convolutional neural networks for forest map** using sentinel-1 interferometric short time series

R Dal Molin Jr, P Rizzoli - Remote Sensing, 2022 - mdpi.com
The monitoring of land cover and land use patterns is pivotal in the joint effort to fight
deforestation in the Amazon and study its relation to climate change effects with respect to …

A nonparametric tropical cyclone wind speed estimation model based on dual-polarization SAR observations

S Wang, KV Yuen, X Yang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The C-band synthetic aperture radar (SAR) observation is one of the most popular sources
for high-resolution tropical cyclone (TC) wind speed estimation. The scarcity of high wind …

Snow Avalanche Debris Analysis Using Time Series of Dual-Polarimetric Synthetic Aperture Radar Data

S Schlaffer, M Schlögl - IEEE Journal of Selected Topics in …, 2024 - ieeexplore.ieee.org
Snow avalanches constitute a dangerous natural hazard in snow-clad mountain regions.
Spaceborne synthetic aperture radar (SAR) has emerged as an effective tool for monitoring …

Estimating signal-to-clutter ratio of InSAR corner reflectors from SAR time series

R Czikhardt, H Van Der Marel… - … and Remote Sensing …, 2021 - ieeexplore.ieee.org
The estimation of Signal-to-Clutter Ratio (SCR) of a radar point target, such as a corner
reflector, is an essential step for synthetic aperture radar (SAR) interferometry and …

[HTML][HTML] Performance study of landslide detection using multi-temporal SAR images

YN Lin, YC Chen, YT Kuo, WA Chao - Remote Sensing, 2022 - mdpi.com
This study addresses one of the most commonly-asked questions in synthetic aperture radar
(SAR)-based landslide detection: How the choice of datatypes affects the detection …