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Shijun Chen, Xin Xiong, Yuanqiao Wen, Jiaxin Jian and Yamin Huang
With the development of emerging techniques, maritime autonomous surface ships (MASS) have attracted much attention, and the remote control ships? future seems promising. However, due to communication issues, ship?shore transmission faces the challenge o...
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You Zeng, Tianlong Liang, Donglin Fan and Hongchang He
Chlorophyll a (Chla) is a crucial pigment in phytoplankton, playing a vital role in determining phytoplankton biomass and water nutrient status. However, in optically complex water bodies, Chla concentration is no longer the primary factor influencing re...
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Rajendra Khanal and Michael E. Barber
Evapotranspiration (ET) is a critical component of the water cycle, and an accurate prediction of ET is essential for water resource management, irrigation scheduling, and agricultural productivity. Traditionally, ET has been estimated using satellite-ba...
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Jing Wang and Tao Feng
The SCADA system, which is widely used in the continuous monitoring and control of the physical process of modern critical infrastructure, relies on the feedback control loop. The remote state estimation system triggers the control algorithm or control c...
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Nam-Thang Ha, Merilyn Manley-Harris, Tien-Dat Pham and Ian Hawes
Seagrass provides a wide range of essential ecosystem services, supports climate change mitigation, and contributes to blue carbon sequestration. This resource, however, is undergoing significant declines across the globe, and there is an urgent need to ...
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Praveen Kumar, Akhouri P. Krishna, Thorkild M. Rasmussen and Mahendra K. Pal
Optical remote sensing data are freely available on a global scale. However, the satellite image processing and analysis for quick, accurate, and precise forest above ground biomass (AGB) evaluation are still challenging and difficult. This paper is aime...
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Aspasia Litoseliti, Ioannis K. Koukouvelas, Konstantinos G. Nikolakopoulos and Vasiliki Zygouri
Assessment of landslide hazard across mountains is imperative for public safety. Pre- and post-earthquake landslide mapping envisage that landslides show significant size changes during earthquake activity. One of the purposes of earthquake-induced lands...
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Arnauld Nzegha Fountsop, Jean Louis Ebongue Kedieng Fendji and Marcellin Atemkeng
Deep learning has been successfully showing promising results in plant disease detection, fruit counting, yield estimation, and gaining an increasing interest in agriculture. Deep learning models are generally based on several millions of parameters that...
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Alicja Kwasniewska, Jacek Ruminski and Maciej Szankin
The proposed Super Resolution Deep Neural Network allows for improving accuracy of Respiratory Rate (RR) estimation from extremely low resolution thermal sequences, i.e., 40 × 30 pixels. To the best of our knowledge deep learning hasn?t been used for tel...
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Galina Zdorovennova, Nikolay Palshin, Tatyana Efremova, Roman Zdorovennov, Galina Gavrilenko, Sergey Volkov, Sergey Bogdanov and Arkady Terzhevik
In winter, the reflective properties of ice-and-snow-covered lakes and the surrounding surface covered with snow differ little. Estimation of the albedo becomes especially important in spring when the reflectivity of the ice-covered lakes differs markedl...
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