Results 71 to 80 of about 17,655,535 (260)
Remote Sensing, 2017 Natural variability in surface-water extent and associated characteristics presents a challenge to gathering timely, accurate information, particularly in environments that are dominated by small and/or forested wetlands.
Melanie K. Vanderhoof +3 more
doaj +1 more source
Surface speed and frontal ablation of Kronebreen and Kongsbreen, NW Svalbard, from SAR offset tracking [PDF]
The Cryosphere, 2015 Kronebreen and Kongsbreen are among the fastest-flowing glaciers on Svalbard and, therefore, important contributors to the total dynamic mass loss from the archipelago.
T. Schellenberger +4 more
doaj +1 more source
Enhancing SAR Ship Image Generation With Context‐Guided Upsampling in DDGAN
Electronics Letters, Volume 62, Issue 1, January/December 2026.To address the scarcity of high‐quality training data for SAR ship detection, this paper proposes a novel image generation method based on an enhanced denoising diffusion generative adversarial network. The core innovation is a context‐aware upsampling filter designed to preserve structural details and suppress artifacts during image synthesis ...
Gaofan Ji +4 more
wiley +1 more source
Evaluation of RADARSAT-2 Acquisition Modes for Wetland Monitoring Applications
, 2015 Interferometric synthetic aperture radar (InSAR) techniques can monitor water-level changes in wetlands with suitable coherence. RADARSAT-2 has many beam modes with varying system parameters to satisfy a wide range of applications.
Brisco, Brian +3 more
core +1 more source
Learning to Optimise FISTA‐PnP for Sparse Radar Imaging
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.This work presents a plug‐and‐play (PnP) framework for sparse radar imaging that combines FISTA with reinforcement learning (RL)‐based parameter adaptation, achieving faster convergence and eliminating manual parameter tuning. Extensive experiments show the framework outperforms classical methods and recent optimisation networks, providing high‐quality
Yao Zhao +7 more
wiley +1 more source
Flood Mapping and Flood Dynamics of the Mekong Delta: ENVISAT-ASAR-WSM Based Time Series Analyses
, 2013 Satellite remote sensing is a valuable tool for monitoring flooding. Microwave sensors are especially appropriate instruments, as they allow the differentiation of inundated from non-inundated areas, regardless of levels of solar illumination or ...
Künzer, Claudia +11 more
core +1 more source
Water resource applications with RADARSAT-2 – a preview
International Journal of Digital Earth, 2008 Abstract Fresh water is arguably the most vital resource for many aspects of a healthy and stable environment. Monitoring the extent of surface water enables resource managers to detect perturbations and long term trends in water availability, and set consumption guidelines accordingly. Potential end-users of water-related observations are numerous and
Brian Brisco +5 more
openaire +1 more source
Journal of Geophysical Research: Atmospheres, Volume 130, Issue 24, 28 December 2025.Abstract Breaking gravity waves (GWs) are a major source of turbulence and momentum deposition in the middle atmosphere. In spite of the importance of this phenomenon, the small‐scale vortex structures associated with wave breaking remain poorly documented under realistic conditions.
M. Kohma +3 more
wiley +1 more source
Polarimetric Change Detection for Wetlands
, 2010 An exciting development in wetland mapping and monitoring is the use of SAR polarimetry which uses both magnitude and phase of the backscattered radar signal for information extraction.
Brisco, Brian +3 more
core
Monitoring Pacific walrus coastal haulouts by satellite to estimate herd abundance and distribution
Wildlife Society Bulletin, Volume 49, Issue 4, December 2025.We monitored Pacific walrus haulouts with drone and satellite imagery to derive new methods for estimating minimum population size. The largest herd observed during an 8‐year study period was on the coast of northeastern Russia at Cape Serdtse‐Kamen in autumn 2022 where the aggregation spanned over an area of 184,094 m2 with a mean density (and 90 ...
Anthony S. Fischbach +2 more
wiley +1 more source