Results 51 to 60 of about 17,660,444 (262)
ALOS-1 and Sentinel-1 InSAR time-series for Galápagos volcanoes, Ecuador
This repository contains the supporting data for Yunjun et al., 2019, Computers and Geosciences. It includes two InSAR time-series datasets from ALOS-1 and Sentinel-1 satellite acquired over Galápagos volcanoes, Ecuador.
Yunjun, Zhang +5 more
core +1 more source
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy +8 more
wiley +1 more source
Due to the complex terrain and intense tectonic activity, and harsh climate in the Qinling-Daba Mountains, many landslides occur in the area. Most of these landslides are extremely active, posing a serious threat to the safety and property of local ...
Shuai Yang +5 more
doaj +1 more source
Pracaxi Oil as a Potential Inhibitor of Fat Bloom
ABSTRACT Fat bloom is one of the major technological challenges faced by the chocolate industry, caused by the polymorphic transition from β2(V) to β1(VI) crystals in cocoa butter (CB). One strategy to slow down this polymorphic transition is the addition of lipids rich in very long chain fatty acids (VLCFA), such as behenic acid.
Victoria Marques Gropelli +4 more
wiley +1 more source
Different satellite datasets, including multispectral Sentinel 2 and synthetic aperture radar Sentinel 1 and ALOS2, were tested to estimate the Leaf Area Index (LAI) in the Zagros forests, Ilam province, in Iran.
Vafaei S +5 more
doaj +1 more source
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka +4 more
wiley +1 more source
Multi-Sensor InSAR Analysis of Progressive Land Subsidence over the Coastal City of Urayasu, Japan
In earthquake-prone areas, identifying patterns of ground deformation is important before they become latent risk factors. As one of the severely damaged areas due to the 2011 Tohoku earthquake in Japan, Urayasu City in Chiba Prefecture has been ...
Yusupujiang Aimaiti +2 more
doaj +1 more source
Detection of triggered shallow slips caused by large earthquakes using L-band SAR interferometry
Interferograms pertaining to large earthquakes typically reveal the occurrence of elastic deformations caused by the earthquake along with several complex surface displacements.
Satoshi Fujiwara +2 more
doaj +1 more source
This review highlights how the conformational adaptability of polymer‐grafted nanoparticles drives their programmable self‐assembly within 3D emulsion droplets. By coupling brush thermodynamics with soft confinement, these dynamic building blocks form hierarchical supraparticles tailored for advanced plasmonics, compartmentalized catalysis, and stimuli‐
Hongseok Yun
wiley +1 more source
Iceberg Detection with L-Band ALOS-2 Data Using the Dual-POL Ratio Anomaly Detector [PDF]
Icebergs represent a danger to navigation in cold waters. Detection and tracking of large icebergs using space-borne scatterometers, altimeters and synthetic aperture radar (SAR) systems have seen a large amount of work in the last decades.
Armando Marino, Marino, Armando
core +1 more source

