Mapping the land cover dynamics of the Moanda Mangrove Marine Park in Central Kongo Province, DRC from 2002 to 2020 by Joël Tungi-Tungi Luzolo, Christ Lendo Masivi, Pacifique Madibi Mubamba, Michel Ngoy Kibwila, Jules Mitashi Kimvula

“…The diachronic analysis of satellite images showed the regression of areas covered by forest classes in favor of the anthropogenic activities, herbaceous mangroves and the savannah. …”
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Explainability of Subfield Level Crop Yield Prediction Using Remote Sensing by Hiba Najjar, Miro Miranda, Marlon Nuske, Ribana Roscher, Andreas Dengel

“…Our goal is to develop and explain predictive models for these crops, using a large dataset of satellite images, additional data modalities, and crop yield maps. …”
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Medium Energy Electron Flux in Earth's Outer Radiation Belt (MERLIN): A Machine Learning Model by A. G. Smirnov, M. Berrendorf, Y. Y. Shprits, E. A. Kronberg, H. J. Allison, N. A. Aseev, I. S. Zhelavskaya, S. K. Morley, G. D. Reeves, M. R. Carver, F. Effenberger

“…The Medium Energy electRon fLux In Earth's outer radiatioN belt (MERLIN) model takes as input the satellite position, a combination of geomagnetic indices and solar wind parameters including the time history of velocity, and does not use persistence. …”
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Attack Analysis Framework of Space-Integrated-Ground Information Network Based on Cybersecurity Knowledge Graph by Yulu QI, Rong JIANG, Xing RONG, Aiping LI

“…While realizing global coverage, random access, on-demand service, security and credibility, the space-integrated-ground information network(SGIN) is confronted with more complex and variable security threats.Compared with the internet, satellite network has a lot of diff erences, such as highly dynamic changes of topology, transfer protocol and data format.In terms of these questions, it was necessary to integrated the rule of satellite network attacks into the rules of APT attacks, developed the cybersecurity knowledge graph and the attack rules library to analyzed the attacks of the SGIN.The pattern of attack rules was expressed based on time-space data model, which was used to completed the attack chain when there were non-continuous missed data or false positives data.The attack analysis framework proposed in this paper could accurately perceived the security status of the SGIN in real time , and provided decision support for the SGIN.…”
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In-flight alignment method of navigation system based on microelectromechanical systems sensor measurement by Jianwei Liu, Tao Zhao

“…An attitude angle estimation method for satellite-assisted MEMS measurement information is proposed that solves the in-flight alignment problem. …”
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Novel navigation signal design based on spreading code time shift position modulation by Jiafang KANG, Hongxing WANG, Xiguo LIU, Peilin ZHONG, Bifeng LI

“…A novel navigation signal design method based on spread code time shift position modulation was proposed,which inherits the idea of separating the pilot signal component and the data signal component,and applies time shift position of the spread code to carry data information.The old pattern of using carrier phase to carry information was changed,the power efficiency of data signal components and the performances of the satellite navigation system were improved.Theoretical analysis and simulation results show that the proposed method can significantly improve the transmission rate of data signal component or power ratio of the pilot signal component to data signal component without increasing the total transmission power.Then,the transmission rate,acquisition and tracking performance,positioning accuracy and other technical indicators of the satellite navigation system can be further improved.…”
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Comparative analysis of empirical and deep learning models for ionospheric sporadic E layer prediction by BingKun Yu, PengHao Tian, XiangHui Xue, Christopher J. Scott, HaiLun Ye, JianFei Wu, Wen Yi, TingDi Chen, XianKang Dou

“…Because they can significantly influence radio communications and navigation systems, accurate forecasting of Es layers is crucial for ensuring the precision and dependability of navigation satellite systems. In this study, we present Es predictions made by an empirical model and by a deep learning model, and analyze their differences comprehensively by comparing the model predictions to satellite RO measurements and ground-based ionosonde observations. …”
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Experiences with the GPS in Unstabilized CubeSat by Pavel Kovar

“…The position information was available for approximately 80% of the time, where the position outage was caused by a satellite rotation and relatively long navigation signal reacquisition. …”
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Research on Adaptive Trajectory Tracking Algorithm for a Quadrotor Based on Backstepping and the Sigma-Pi Neural Network by Zhiming Chen, Kang Niu, Lei Li

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The Impact of Assimilating Atmospheric Infrared Sounder Observation on the Forecast of Typhoon Tracks by Chien-Ben Chou, Huei-Ping Huang

“…This illustrates how the impact of satellite data on the forecast depends on the adjustable parameters for data assimilation. …”
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ICESat-2 Reveals Accelerated Global Glacier Mass Loss Except Alaska From 2019 to 2023 by Yubin Fan, Lanhua Luo, Chang-Qing Ke, Genyu Wang

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Ageing leads to selective type II myofibre deterioration and denervation independent of reinnervative capacity in human skeletal muscle by Oscar Horwath, Marcus Moberg, Sebastian Edman, Andrew Philp, William Apró

“…Immunofluorescence was used to assess myofibre composition, morphology (size and shape), capillarization, the content of satellite cells and myonuclei, the spatial relationship between satellite cells and capillaries, denervation and myofibre grouping. …”
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Detection of Burned Areas by Remote Sensing Techniques: İzmir Seferihisar Forest fire case study by Aslı Sabuncu, Haluk Özener

“…In this study, forest fire that occurred and continued 4 days in Seferihisar district of İzmir province on August 9, 2009 was analyzed by remote sensing techniques using Landsat 5 satellite images. Two Landsat images acquired in July 2009 as pre fire and in August 2009 as post-fire. …”
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Bathymetry estimation for coastal regions using self-attention by Xiaoxiong Zhang, Maryam R. Al Shehhi

“…Various research have been conducted to improve the efficiency or effectiveness of bathymetric estimations. Among them, Satellite-Derived Bathymetry (SDB) shows the greatest promise in providing a cost-effective and efficient solution due to the spatial and temporal resolution offered by satellite imagery. …”
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A remote monitoring approach for coastal engineering projects by C. Cabezas-Rabadán, J. E. Pardo-Pascual, J. Palomar-Vázquez, A. Cooper

“…Initially, satellite-derived waterlines are identified and extracted from publicly available satellite imagery of the Landsat 5, 7, 8, and 9, and Sentinel-2 constellations using the automatic shoreline extraction tool SHOREX. …”
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Effectiveness of the world network of biosphere reserves in maintaining forest ecosystem functions by Charlotte Gohr, Henrik von Wehrden, Sassan Saatchi, Nathalie Pettorelli, Pierre L. Ibisch

“…To address this knowledge gap, we investigated differences in satellite-derived proxies of ecosystem functions in forests between inside and surrounding areas of biosphere reserves, globally. …”
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A Low-Cost Photodiode Sun Sensor for CubeSat and Planetary Microrover by Mark A. Post, Junquan Li, Regina Lee

“…This paper presents the development of low-cost methodologies to determine the attitude of a small, CubeSat-class satellite and a microrover relative to the sun's direction. …”
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Distribution of Atmospheric Aerosol over the South China Sea by Shih-Jen Huang, Chen-Chih Lin

“…The satellite-derived aerosol optical depth (AOD) data is used to investigate the distribution of aerosol over the South China Sea (SCS). …”
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Finite-Time Distributed Energy-to-Peak Control for Uncertain Multiagent Systems by Qu Chenggang, Cao Xibin, Hamid Reza Karimi, Zhang Zhuo, Zhang Zexu

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The effect of conflict on damage to medical facilities in Mariupol, Ukraine: A quasi-experimental study. by Danielle N Poole, Daniel Andersen, Nathaniel A Raymond, Jack Parham, Caitlin Howarth, Oona A Hathaway, Kaveh Khoshnood, Yale Humanitarian Research Lab

“…We leveraged commercially and publicly available satellite imagery and cross-referenced geolocated facility data to conduct a pre-post quasi-experimental study of damage to medical facilities in Mariupol, Ukraine as a result of Russia's invasion. …”
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