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Ariadna Calcines Rosario, Frederic Auchère, Alain Jody Corso, Giulio Del Zanna, Jaroslav Dudík, Samuel Gissot, Laura A. Hayes, Graham S. Kerr, Christian Kintziger, Sarah A. Matthews, Sophie Musset, David Orozco Suárez, Vanessa Polito, Hamish A. S. Reid and Daniel F. Ryan
Particle acceleration, and the thermalisation of energetic particles, are fundamental processes across the universe. Whilst the Sun is an excellent object to study this phenomenon, since it is the most energetic particle accelerator in the Solar System, ...
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Sadia Alam Shammi, Yanbo Huang, Gary Feng, Haile Tewolde, Xin Zhang, Johnie Jenkins and Mark Shankle
The application of remote sensing, which is non-destructive and cost-efficient, has been widely used in crop monitoring and management. This study used a built-in multispectral imager on a small unmanned aerial vehicle (UAV) to capture multispectral imag...
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Yan Li, Wen Yan, Sai An, Wanlin Gao, Jingdun Jia, Sha Tao and Wei Wang
Accurate and continuous monitoring of crop growth is vital for the development of precision agriculture. Unmanned aerial vehicle (UAV) and satellite platforms have considerable complementarity in high spatial resolution (centimeter-scale) and fixed revis...
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Yingzhuo Hou, Qianguo Xing, Xiangyang Zheng, Dezhi Sheng and Futao Wang
Suspended sediments have profound impacts on marine primary productivity and the ecological environment. The Yellow River estuary and its vicinity waters, with a high dynamic range of suspended sediment concentration (SSC), have important eco-environment...
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Liang Zhong, Xueyuan Chu, Jiawei Qian, Jianlong Li and Zhengguo Sun
With the rapid development of China?s industrialization and urbanization, the problem of heavy metal pollution in soil has become increasingly prominent, seriously threatening the safety of the ecosystem and human health. The development of hyperspectral...
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Weizhong Zeng, Ke Xu, Sihang Cheng, Lei Zhao and Kun Yang
Secchi depth (SD) is a valuable and feasible water quality indicator of lake eutrophication. The establishment of an automated system with efficient image processing and an algorithm suitable for the inversion of transparency in lake-rich regions could p...
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Hang Li, Ruiyao Liu, Shuai He, Renlong Xin, Haijun Wang, Zhenglei Yu and Zhenbang Xu
In the aerospace field, lightweight design is a never-ending pursuit. By integrating structural bionics and structural optimization, the vertical bracket of a wide angle auroral imager is designed and manufactured by additive manufacturing technology in ...
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Alessandro Niccolai, Seyedamir Orooji, Andrea Matteri, Emanuele Ogliari and Sonia Leva
This work proposes and evaluates a method for the nowcasting of solar irradiance variability in multiple time horizons, namely 5, 10, and 15 min ahead. The method is based on a Convolutional Neural Network structure that exploits infrared sky images acqu...
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Timothy T. Wynne, Michelle C. Tomlinson, Travis O. Briggs, Sachidananda Mishra, Andrew Meredith, Ronald L. Vogel and Richard P. Stumpf
This manuscript describes methods for evaluating the efficacy of five satellite-based Chlorophyll-a algorithms in Chesapeake Bay, spanning three separate sensors: Ocean Land Color Imager (OLCI), Visible Infrared Imaging Radiometer Suite (VIIRS), and MODe...
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Igor Brovchenko, Kyeong Ok Kim, Vladimir Maderich, Kyung Tae Jung, Roman Bezhenar, Joo Hyung Ryu and Jee Eun Min
This paper is concerned with the development of a radionuclide dispersion model for the nuclear power plants in the Bohai, Yellow, and East China seas (BYECS) characterized by high turbidity and multi-scale circulations, focusing on the comparison of dis...
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