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Ching-Lung Fan
The emergence of deep learning-based classification methods has led to considerable advancements and remarkable performance in image recognition. This study introduces the Multiscale Feature Convolutional Neural Network (MSFCNN) for the extraction of com...
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Abdelkrim Lachgar, David J. Mulla and Viacheslav Adamchuk
One of the challenges in site-specific phosphorus (P) management is the substantial spatial variability in plant available P across fields. To overcome this barrier, emerging sensing, data fusion, and spatial predictive modeling approaches are needed to ...
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Christin B. Khan, Kimberly T. Goetz, Hannah C. Cubaynes, Caleb Robinson, Erin Murnane, Tyler Aldrich, Meredith Sackett, Penny J. Clarke, Michelle A. LaRue, Timothy White, Kathleen Leonard, Anthony Ortiz and Juan M. Lavista Ferres
Monitoring marine mammals is of broad interest to governments and individuals around the globe. Very high-resolution (VHR) satellites hold the promise of reaching remote and challenging locations to fill gaps in our knowledge of marine mammal distributio...
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Osman Isa Çelik, Gürcan Büyüksalih and Cem Gazioglu
The spatial and spectral information brought by the Very High Resolution (VHR) and multispectral satellite images present an advantage for Satellite-Derived Bathymetry (SDB), especially in shallow-water environments with dense wave patterns. This work fo...
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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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Takashi Nakamura, Hideto Fujii, Toru Watanabe, Sarann Ly, Sambo Lun, Yoichi Fujihara, Keisuke Hoshikawa, Kazuhiko Miyanaga and Chihiro Yoshimura
Spatiotemporal changes in waterborne disease risk were evaluated for the Chhnok Tru floating village in the Tonle Sap Lake by combining a hydraulic simulation and quantitative microbial risk assessment (QMRA). First, a three-dimensional (3D) hydraulic si...
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Tahira Ullah, Sven Lautenbach, Benjamin Herfort, Marcel Reinmuth and Danijel Schorlemmer
Natural hazards threaten millions of people all over the world. To address this risk, exposure and vulnerability models with high resolution data are essential. However, in many areas of the world, exposure models are rather coarse and are aggregated ove...
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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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Worasit Sangjan, Lynne A. Carpenter-Boggs, Tipton D. Hudson and Sindhuja Sankaran
Pasture management approaches can determine the productivity, sustainability, and ecological balance of livestock production. Sensing techniques potentially provide methods to assess the performance of different grazing practices that are more labor and ...
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Simiao Ren, Jordan Malof, Rob Fetter, Robert Beach, Jay Rineer and Kyle Bradbury
Solar home systems (SHS), a cost-effective solution for rural communities far from the grid in developing countries, are small solar panels and associated equipment that provides power to a single household. A crucial resource for targeting further inves...
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