Results 21 to 30 of about 132,191 (247)

Volume Scattering Functions for Selected Ocean Waters [PDF]

, 1972
Volume scattering functions for three general types of natural ocean waters have been obtained and are presented here. The three types of water are (1) deep clear oceanic water, (2) nearshore ocean water, and (3) very turbid harbor water. Also included are the results of laboratory experiments using sea water, filtered fresh water, and artificial ...
openaire   +3 more sources

Experimental Estimates of Optical Backscattering Associated With Submicron Particles in Clear Oceanic Waters

Geophysical Research Letters, 2020
The volume scattering functions for bulk and two submicron size fractions (passing through 0.7 μm GF/F and 0.2 μm membrane filters) were measured in the North Pacific Ocean using a LISST‐VSF to assess the contributions by submicron particles to the ...
Xiaodong Zhang, Lianbo Hu, Yuanheng Xiong, Yannick Huot, Deric Gray   +4 more
doaj   +1 more source

Penetration of interferometric radar signals in Antarctic snow [PDF]

The Cryosphere, 2021
Synthetic aperture radar interferometry (InSAR) is an efficient technique for mapping the surface elevation and its temporal change over glaciers and ice sheets.
H. Rott, H. Rott, S. Scheiblauer, J. Wuite, L. Krieger, D. Floricioiu, P. Rizzoli, L. Libert, T. Nagler   +8 more
doaj   +1 more source

The meaning of time-resolved Thomson scattering spectrum output from a grating spectrometer

AIP Advances, 2020
Time-resolved spectra are often recorded in optical Thomson scattering experiments of laser-produced plasmas. In this article, the meaning of time-resolved spectrum output from a grating spectrometer is examined. Our results show that the recorded signal
Jian Zheng, Yao-Yuan Liu
doaj   +1 more source

Improved Three-stage Algorithm of Forest Height Retrieval with PolInSAR

Leida xuebao, 2014
Employing Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) data to inverse forest parameters is a hot topic in the research field of PolInSAR. The typical forest parameter inversion algorithm is the three-stage inversion algorithm based on
Xu Li-ying, Li Shi-qiang, Deng Yun-kai, Wang Yu   +3 more
doaj   +1 more source

Retrieving the seawater volume scattering function at the 180° scattering angle with a high-spectral-resolution lidar

Optics Express, 2017
A high-spectral-resolution lidar (HSRL) is proposed to retrieve the seawater volume scattering function at the 180° scattering angle βπ without the assumption of the lidar extinction-to-backscatter ratio. A field-widened Michelson interferometer is employed as the ultra-narrow spectral discriminator to reject particulate scattering and molecular ...
Yudi, Zhou, Dong, Liu, Peituo, Xu, Chong, Liu, Jian, Bai, Liming, Yang, Zhongtao, Cheng, Peijun, Tang, Yupeng, Zhang, Lin, Su   +9 more
openaire   +2 more sources

Parameterization of single-scattering properties of snow [PDF]

The Cryosphere, 2015
Snow consists of non-spherical grains of various shapes and sizes. Still, in many radiative transfer applications, single-scattering properties of snow have been based on the assumption of spherical grains.
P. Räisänen, A. Kokhanovsky, G. Guyot, O. Jourdan, T. Nousiainen   +4 more
doaj   +1 more source

Virtual Singular Scattering of Electromagnetic Waves in Transformation Media Concept

Advanced Electromagnetics, 2012
If a scatterer and an observation point (receive) both approach the so-called near field zone of a source of electromagnetic waves, the scattering process becomes singular one which is mathematically attributed to the spatial singularity of the free ...
M. Y. Barabanenkov, Y. N. Barabanenkov, S. A. Nikitov   +2 more
doaj   +1 more source

Degradation mechanism of the von Willebrand factor A2 domain by nattokinase

FEBS Letters, EarlyView.
Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto, Masatomo So, Ayako Furukawa, Kenji Sugase   +3 more
wiley   +1 more source

Deciphering the small-angle scattering of polydisperse hard spheres using deep learning

APL Machine Learning
We introduce a deep learning approach for analyzing the scattering function of the polydisperse hard sphere system. We use a variational autoencoder-based neural network to learn the bidirectional mapping between the scattering function and the system ...
Lijie Ding, Changwoo Do
doaj   +1 more source