Results 31 to 40 of about 393 (137)

Observations of Kolmogorov Turbulence in Saturn's Magnetosphere

Geophysical Research Letters, Volume 50, Issue 16, 28 August 2023., 2023
Abstract The Kolmogorov scaling in the inertial range of scales is a distinct characteristic of fully developed turbulence, and studying it offers valuable insights into the evolution of turbulence. In this work, we perform a statistical survey of the power spectra with the Kolmogorov scaling in Saturn's magnetosphere using Cassini measurements.
S. B. Xu, S. Y. Huang, F. Sahraoui, Z. G. Yuan, H. H. Wu, K. Jiang, J. Zhang, R. T. Lin   +7 more
wiley   +1 more source

Multi-frame image restoration method for Luojia 1-01 night-light remote sensing images

Journal of Spatial Science, 2021
To address blur and noise issues caused by airlight and atmospheric scattering in nighttime imaging environment, we proposed a multi-frame image restoration method. First, the Luojia 1–01 night-light image degradation model was derived. Thereafter, the APSF (Atmospheric Point Spread Function) for night-light images was estimated.
Bu, Lijing, Xu, Zhenghui, Zhao, Ruishan, Zhang, Zhengpeng   +3 more
openaire   +1 more source

The 2021 Ms 6.0 Luxian (China) Earthquake: Blind Reverse‐Fault Rupture in Deep Sedimentary Formations Likely Induced by Pressure Perturbation From Hydraulic Fracturing

Geophysical Research Letters, Volume 50, Issue 7, 16 April 2023., 2023
Abstract To resolve the occurrence mechanism of the Luxian earthquake occurred near an active hydraulic fracturing well pad on 15 September 2021, we first use seismic waveforms to invert the focal mechanism solution and centroid depth, and then utilize Sentinel‐1 Synthetic Aperture Radar images and Global Navigation Satellite System observations to ...
Yingwen Zhao, Guoyan Jiang, Xinglin Lei, Caijun Xu, Bin Zhao, Xuejun Qiao   +5 more
wiley   +1 more source

Global Ionospheric TEC Forecasting for Geomagnetic Storm Time Using a Deep Learning‐Based Multi‐Model Ensemble Method

Space Weather, Volume 21, Issue 3, March 2023., 2023
Abstract In recent years, deep learning has been extensively used for ionospheric total electron content (TEC) prediction, and many models can yield promising prediction results, particularly under quiet conditions. Owing to the ionosphere's intricate and dramatic changes during geomagnetic storms, the high‐reliable prediction of the storm‐time ...
Xiaodong Ren, Pengxin Yang, Dengkui Mei, Hang Liu, Guozhen Xu, Yue Dong   +5 more
wiley   +1 more source

Single‐cell transcriptome analysis uncovers the molecular and cellular characteristics of thin endometrium

The FASEB Journal, Volume 36, Issue 3, March 2022., 2022
Abstract Infertility is a social and medical problem around the world and the incidence continues to rise. Thin endometrium (TE) is a great challenge of infertility treatment, even by in vitro fertilization and embryo transfer. It is widely believed that TE impairs endometrium receptivity.
Xirong Zhang, Yini Li, Xiaopan Chen, Bihui Jin, Chongyi Shu, Wanmao Ni, Yinshen Jiang, Jing Zhang, Lijia Ma, Jing Shu   +9 more
wiley   +1 more source

Deep Reinforcement Learning‐Based Joint Satellite Scheduling and Resource Allocation in Satellite‐Terrestrial Integrated Networks

Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022
Satellite‐terrestrial integrated networks (STINs) are considered to be a new paradigm for the next generation of global communication because of its distinctive merits, such as wide coverage, high reliability, and flexibility. When the satellite associates with different base stations (BSs) and adopts different channels for communication, the utility ...
Yabo Yin, Chuanhe Huang, Dong-Fang Wu, Shidong Huang, M. Wasim Abbas Ashraf, Qianqian Guo, Lin Zhang, Junjuan Xia   +7 more
wiley   +1 more source

Eco‐Economic Environment Coupling Based on Urban RSEI Theory

Mobile Information Systems, Volume 2021, Issue 1, 2021., 2021
Introduction. Ecological environment is the foundation of social and economic development, and the coordinated development of social economy and ecological environment is one of the hotspots in urban sustainable development research. Traditional ecological economic measurement methods usually have problems such as difficulty in data acquisition and ...
Yitong Lu, Minghang Li, Fazlullah Khan
wiley   +1 more source

THE EXTRACTION OF URBANIZED AREAS THROUGH IMAGES OF HIGH RESOLUTION NIGHTTIME LIGHTS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Satellite nocturnal images of the earth are a useful way to identify urbanisation. Nighttime lights have been used in a variety of scientific contributions, including studies on the identification of metropolitan areas as well as landscapes impacted by ...
B. Arellano, J. Roca
doaj   +1 more source

Foreword to the Special Issue on Advances in Remote Sensing of Nighttime Lights: Progresses, Challenges, and Perspectives

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
The articles in this special issue focus on the technology of nighttime sensor lighting. Nighttime light (NTL) data provides unique observations of our Earth and receives increasing attentions from a variety of fields such as remote sensing, GIS, and ...
B. Yu, Y. Zhou, C. Small, C. D. Elvidge, Z. Chen   +4 more
doaj   +1 more source

A New Generation of Intelligent Mapping and Remote Sensing Scientific Test Satellite Luojia-3 01

, 2023
With the continuous improvement of the performance and the increasing variety of optical mapping and remote sensing satellites, they have become an important support for obtaining global accurate surveying and mapping remote sensing information.
Deren LI, Mi WANG, Fang YANG
core   +1 more source