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. The research includes development of growth models, crop production management with remote sensing tools and spectral techniques, and agronomic studies. Ongoing projects involve the use of optical and radar
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. Reference letters will only be requested for shortlisted candidates. For an informal discussion about the post, please feel free to contact Dr Greg Ashton by emailing gregory.ashton@rhul.ac.uk. For queries
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). Nutritional monitoring of boron in Eucalyptus spp. in the Brazilian cerrado by multispectral bands of the MSI sensor (Sentinel-2). Remote Sensing Applications: Society and Environment, 29, 100913. Roux, P
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, we consistently rank among the top engineering programs by US News and World Report. CEE is seeking a postdoctoral scholar specializing in large-scale glacier modeling, remote sensing, and statistics
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temperate and boreal habitats. This multidisciplinary project combines fieldwork, remote sensing (camera and drone-based imagery), and genetic analysis, aiming to elucidate the adaptive potential of species
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
of fellowship appointment. Questions about this opportunity? Please email npp@orau.org Qualifications Strong background in remote sensing, satellite data analysis, and/or machine learning methods. Familiarity
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field (e.g. Environmental Engineering, Ecology, etc). We are particularly interested in applicants who have experience with satellite remote sensing (optical and/or radar) and background in surface water
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
fellows to work on a project funded by the US Department of Agriculture under the supervision of Prof. Conghe Song. One post-doc will focuse on remote sensing of vegetation, and the other will focus
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, a large initiative funded by the Danish Ministry of Foreign Affairs and managed by Danida Fellowship Council. Ethio-Nature aims to optimize the use of machine learning and remote sensing to site
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for flood risk estimation, and prototyping flood monitoring and forecasting procedures at very high spatial resolution. The candidate will collaborate closely with the Remote Sensing and Hydrology lab and the