Results 71 to 80 of about 1,634,404 (238)

Revealing Dust Source Changes in East Asia From Past to Future: An Interpretable Deep Learning Approach

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Aeolian dust source areas are controlled by climate and human activities and are closely associated with land degradation, yet their long‐term evolution under global warming remains insufficiently quantified. An integrated framework that couples a U‐Net segmentation model with Shapley Additive Explanations (SHAP) was built to map and attribute
Yanyu Li   +5 more
wiley   +1 more source

Parametric Sparse Representation and Its Applications to Radar Sensing

open access: yesLeida xuebao, 2016
Sparse signal processing has been utilized to the area of radar sensing. Due to the presence of unknown factors such as the motion of the targets of interest and the error of the radar trajectory, a predesigned dictionary cannot provide the optimally ...
Li Gang, Xia Xiang-Gen
doaj   +1 more source

Quantifying the Surface Deformation of Pingos on the Alaskan North Slope Using Interferometric Synthetic Aperture Radar (InSAR)

open access: yesPermafrost and Periglacial Processes, EarlyView.
ABSTRACT Pingos are large mounds with cores formed of intrusive ice that form in periglacial landscapes. These ice structures can form in regions of discontinuous permafrost, commonly as hydraulic or open‐system pingos, or in locations of continuous permafrost, commonly as hydrostatic or closed‐system pingos.
Venezia M. Follingstad   +12 more
wiley   +1 more source

Tracking Wintertime Behaviour of Emperor Penguins Using High‐Resolution Synthetic Aperture Radar Imagery

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Using 25–30 cm Umbra synthetic aperture radar (SAR) imagery combined with ground validation of our observations, we introduce a method to track the phenology of emperor penguins during the Antarctic winter. We successfully identified events in the breeding cycle, which were previously impossible to observe during the complete darkness of Antarctic ...
Michelle LaRue   +12 more
wiley   +1 more source

Deep Learning Training Data for Phase Unwrapping of SAR Interferograms [PDF]

open access: yesGeo Data
Phase unwrapping is an essential process in synthetic aperture radar interferometry that restores phase signals constrained within the range of (-π, π) to their true phase values.
Won-Kyung Baek, Hyung-Sup Jung
doaj   +1 more source

WAH‐i: Optimising microphone array geometry for customised localisation accuracy

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Accurate spatial localisation of free‐flying echolocating bats is foundational for resolving fine‐scale flight and echolocation behaviour, prey interception and spatial decision‐making in natural environments. Acoustic localisation using microphone arrays is widely employed for this purpose, yet array geometries in field studies are typically ...
Ravi Umadi
wiley   +1 more source

A Supervised Classification Method for Levee Slide Detection Using Complex Synthetic Aperture Radar Imagery

open access: yesJournal of Imaging, 2016
The dynamics of surface and sub-surface water events can lead to slope instability, resulting in anomalies such as slough slides on earthen levees. Early detection of these anomalies by a remote sensing approach could save time versus direct assessment ...
Ramakalavathi Marapareddy   +2 more
doaj   +1 more source

Leveraging High‐Frequency Digital Data to Analyze Forced Displacement Dynamics: A Case Study from the Gaza Strip

open access: yesPopulation and Development Review, EarlyView.
Abstract The quantification and analysis of forced displacement, driven by political unrest or natural disasters, has become increasingly central to both humanitarian and demographic research. With displaced populations reaching record numbers, there is an urgent need for accurate and timely data on displacement patterns, particularly disaggregated by ...
Edith Darin   +2 more
wiley   +1 more source

A Hierarchical Extension of General Four-Component Scattering Power Decomposition

open access: yesRemote Sensing, 2017
The overestimation of volume scattering (OVS) is an intrinsic drawback in model-based polarimetric synthetic aperture radar (PolSAR) target decomposition.
Sinong Quan   +4 more
doaj   +1 more source

Drew Rothrock's Fundamental Contributions to Arctic Science

open access: yesPerspectives of Earth and Space Scientists, Volume 7, Issue 1, December 2026.
Abstract David Andrew (Drew) Rothrock III lived during a period of vigorous scientific research in the Earth Sciences, from the International Geophysical Year to the era of satellites and high‐speed computer modeling. Drew made fundamental contributions to Arctic science, helping to lay the theoretical foundations for modeling the movement and ...
Harry L. Stern   +4 more
wiley   +1 more source

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