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  1. 1141

    Assessing nighttime artificial light pollution from the perspective of an unmanned aerial vehicle tilt by Jiejie Wu, Liang Zhou, Deping Li, Daoquan Zhang, Tingting Jiang, Chengzhi Zong

    Published 2025-12-01
    “…Increasing artificial light at night (ALAN) impacts urban sustainability and contributes to light pollution. Nighttime satellites miss side ALAN, so drone-captured tilted images and measured illuminance are used to assess ALAN pollution within urban streets. …”
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  2. 1142

    <italic>C&#x2099;</italic>&#x00B2; Modeling for Free-Space Optical Communications: A Review by Florian Quatresooz, Claude Oestges

    Published 2025-01-01
    “…Atmospheric turbulence influence on optical wave propagation, referred to as optical turbulence, has long been studied for astronomical applications and is now being addressed for free-space optical communication links between ground and satellites. While challenges overlap, models developed for astronomical applications are not fully transferable to optical communications. …”
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  3. 1143

    Dark matter annihilation via Breit-Wigner enhancement with heavier mediator by Yu Cheng, Shao-Feng Ge, Jie Sheng, Tsutomu T. Yanagida

    Published 2025-02-01
    “…The running Fermi-LAT and the future COSI satellites can test this scenario.…”
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  4. 1144

    Over 60% precipitation transformed into terrestrial water storage in global river basins from 2002 to 2021 by Yulong Zhong, Baoming Tian, Hyunglok Kim, Xing Yuan, Xinyue Liu, Enda Zhu, Yunlong Wu, Lunche Wang, Lizhe Wang

    Published 2025-01-01
    “…Here we address this by introducing a quantitative metric, average daily fraction of precipitation transformed into terrestrial water storage, providing an important advancement into the dynamics of water storage by utilizing the enhanced terrestrial water storage statistical reconstruction method and water storage data from the Gravity Recovery and Climate Experiment satellites and their follow-on mission. This study reveals that approximately 64% of land precipitation contributes to terrestrial water storage in global 121 river basins from 2002 to 2021, with evident variations observed across different climatic and geographical regions. …”
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  5. 1145

    Solar Flare Intensity Prediction With Machine Learning Models by Zhenbang Jiao, Hu Sun, Xiantong Wang, Ward Manchester, Tamas Gombosi, Alfred Hero, Yang Chen

    Published 2020-07-01
    “…The model makes use of (1) the Space‐Weather HMI Active Region Patch (SHARP) parameters as predictors and (2) the exact flare intensities instead of class labels recorded in the Geostationary Operational Environmental Satellites (GOES) data set, which serves as the source of the response variables. …”
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  6. 1146

    STAR‐ESDM: A Generalizable Approach to Generating High‐Resolution Climate Projections Through Signal Decomposition by Katharine Hayhoe, Ian Scott‐Fleming, Anne Stoner, Donald J. Wuebbles

    Published 2024-07-01
    “…The Seasonal Trends and Analysis of Residuals empirical statistical downscaling model (STAR‐ESDM) is a computationally‐efficient, flexible approach to generating such projections that can be applied globally using predictands and predictors sourced from weather stations, gridded data sets, satellites, reanalysis, and global or regional climate models. …”
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  7. 1147

    Space mission as a service (SMaaS): General-purpose computing on space by Leonardo Camargo-Forero, Julián G. Rodríguez-Ferreira, Carlos J. Barrios-Hernández

    Published 2024-12-01
    “… Given the critical nature of their missions, space systems such as satellites, probes, spacecraft, etc., are commonly embedded with specific hardware and software solutions. …”
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  8. 1148

    Multi-Objective Optimization for Resource Allocation in Space–Air–Ground Network with Diverse IoT Devices by Yongnan Xu, Xiangrong Tang, Linyu Huang, Hamid Ullah, Qian Ning

    Published 2025-01-01
    “…This paper discusses an uplink signal scenario in which various types of data collection sensors as IoT devices use Unmanned Aerial Vehicles (UAVs) as relays to forward signals to low-Earth-orbit satellites. Considering the fairness of resource allocation among IoT devices of the same category, our goal is to maximize the minimum uplink channel capacity for each category of IoT devices, which is a multi-objective optimization problem. …”
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  9. 1149

    Heavy Rain Episodes Identified by L-band InSAR and Limitations of Split-Spectrum Method in Indonesia by Naufal Setiawan, Masato Furuya

    Published 2024-04-01
    “…Currently, the advance of radiometer satellites, such as the Global Precipitation Mission delivers rain estimation and has proven to show good association with in-situ observation on a monthly basis, not daily over the Indonesia area. …”
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  10. 1150

    High Energy Solar Particle Events and Their Relationship to Associated Flare, CME and GLE Parameters by C. O. G. Waterfall, S. Dalla, O. Raukunen, D. Heynderickx, P. Jiggens, R. Vainio

    Published 2023-03-01
    “…In this work, we use a newly calibrated data set using data from Geostationary Operational Environmental Satellite‐high energy proton and alpha detector between 1984 and 2017. …”
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  11. 1151

    The Role of the Commercial Space Industry within the US National Security under the Trump Administration by E. A. Kuznetsov

    Published 2021-04-01
    “…The fourth section thoroughly examines key forms and areas of the public–private partnership in commercial use of space, including launch services, communication services, intelligence gathering, as well as production and maintenance of satellites. Finally, the fifth section assesses the prospects for private space activities given the current tightness of the space services market and growing competition. …”
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  12. 1152

    Fast Object Detection and Localization in Ultrawide Swath Rotating Scan Remote Sensing Images by Zhiming Deng, Tianyu Zhang, Cheng Wei, Xibin Cao

    Published 2025-01-01
    “…In the field of remote sensing, rotating scan optical satellites are an important innovation, offering the unique advantage of capturing extensive ground coverage areas with high precision. …”
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  13. 1153

    Assessment of the Ground Vulnerability in the Preveza Region (Greece) Using the European Ground Motion Service and Geospatial Data Concerning Critical Infrastructures by Eleftheria Basiou, Ignacio Castro-Melgar, Haralambos Kranis, Andreas Karavias, Efthymios Lekkas, Issaak Parcharidis

    Published 2025-01-01
    “…The EGMS, a new service of the Copernicus Land Monitoring Service, employs information from the C-band Synthetic Aperture Radar (SAR)-equipped Sentinel-1A and Sentinel-1B satellites. This allows for the millimeter-scale measurement of ground motion, which is essential for assessing anthropogenic and natural hazards. …”
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  14. 1154

    Energetic Electron Flux Predictions in the Near‐Earth Plasma Sheet From Solar Wind Driving by B. M. Swiger, M. W. Liemohn, N. Y. Ganushkina, S. V. Dubyagin

    Published 2022-11-01
    “…They are the source population for outer radiation belt electrons and they pose risks to geosynchronous satellites through their contribution to surface charging. …”
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  15. 1155

    Aerosols over the Foothills of the Eastern Himalayan Region during Post-monsoon and Winter Seasons by Sishir Dahal, Dipesh Rupakheti, Ram Kumar Sharma, Binod Kumar Bhattarai, Bhupesh Adhikary

    Published 2022-03-01
    “…The spatial distribution of AOD as observed by various satellites are compared and the vertical distribution of aerosol is also explained with the extinction coefficient provided by the CALIOP lidar onboard CALIPSO and aerosol types provided by CAMS.…”
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  16. 1156

    Ionospheric Response to the Coronal Hole Activity of August 2020: A Global Multi‐Instrumental Overview by Waqar Younas, Majid Khan, C. Amory‐Mazaudier, P. O. Amaechi

    Published 2022-12-01
    “…Abstract We have studied the ionospheric response to a coronal hole event of August 2020 using the data from global ionospheric maps, ground magnetometers and parameters from the instruments onboard SWARM and thermosphere, ionosphere, mesosphere energetics and dynamics satellites. The role of different physical drivers, responsible for observed ionospheric disturbance, has been identified. …”
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  17. 1157

    Separating and quantifying facility-level methane emissions with overlapping plumes for spaceborne methane monitoring by Y. Pang, Y. Pang, L. Tian, D. Hu, S. Gao, G. Liu, G. Liu

    Published 2025-01-01
    “…<p>Quantifying facility-level methane emission rates using satellites with fine spatial resolution has recently gained significant attention. …”
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  18. 1158

    ASHLEY: A New Empirical Model for the High‐Latitude Electron Precipitation and Electric Field by Qingyu Zhu, Yue Deng, Astrid Maute, Liam M. Kilcommons, Delores J. Knipp, Marc Hairston

    Published 2021-05-01
    “…ASHLEY consists of three components, ASHLEY‐A, ASHLEY‐E, and ASHLEY‐Evar, which are developed based on the electron precipitation and bulk ion drift measurements from the Defense Meteorological Satellite Program (DMSP) satellites during the most recent solar cycle. …”
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  19. 1159

    Comparative Study of γ Radiation-Induced Effects on Fiber Bragg Gratings by Femtosecond Laser Point-by-Point Method and Line-by-Line Method by Mingyang Hou, Yumin Zhang, Xin Xiong, Lianqing Zhu

    Published 2025-01-01
    “…In the realm of advanced optical fiber sensing (OFS) technologies, Fiber Bragg Grating (FBG) has garnered widespread application in the monitoring of temperature, strain, and external refractive indices, particularly within high-radiation environments such as high-energy physics laboratories, nuclear facilities, and space satellites. Notably, FBGs inscribed using femtosecond lasers are favored for their superior radiation resistance. …”
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  20. 1160

    Multiscale wildfire and smoke detection in complex drone forest environments based on YOLOv8 by Wenyu Zhu, Shanwei Niu, Jixiang Yue, Yangli Zhou

    Published 2025-01-01
    “…Traditional fire monitoring methods such as manual inspections, sensor technologies, and remote sensing satellites have limitations. With the advancement of drone technology and deep learning, using drones combined with artificial intelligence for fire monitoring has become mainstream. …”
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