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Department of Forest Resource Management The Department of Forest Resource Management conducts teaching and research in the areas of Forest Remote Sensing, Mathematical Statistics Applied to Forest
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. 2020; Millar et al. 2007). Recent advancements in remote sensing, exemplified by high-resolution biomass maps such as MapBiomas (Souza et al. 2020), provide unprecedented data on forests over extended
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). Together, these schemes provide unprecedented spatio-temporal data, alongside regularly-updated remote-sensed data associated with the locations and times of observations, including novel metrics (e.g. non
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Description Do you want to explore GNSS reflectometry (GNSS-R) for remote sensing applications on Unmanned Aerial Systems (UAS)? The Technical University of Denmark invites applicants to a fully funded 3-year
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; Sensing approaches using multiple lines of evidence (in-field proximal sensing, remote sensing etc) to improve crop and environmental information. Value Stipend of AUD $35,000 per year Maximum period of
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Obrador, Dr. Camille Minaudo Disciplines: Limnology, Biogeochemistry, Geosciences, Remote sensing Useful Links: - CANBAS research group: https://canbas.weebly.com - BEECA Department at UB: https
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description: The Department of Agroecology at Aarhus University, Denmark, is offering a PhD position in integrating remote sensing data and process-based agroecosystem modelling, starting 15-09-2024 or as soon
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FieldGeosciencesEducation LevelMaster Degree or equivalent Skills/Qualifications Your profile: MSc degree in geoinformatics, remote sensing, geography or related fields Background in hydrology or climatology is an asset
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Skills/Qualifications Your profile: MSc degree in geoinformatics, remote sensing, geography, computer science or related disciplines Experience in optical and radar analysis Familiarity with deep learning
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multiple data sources with different granularities ranging from monitoring networks, field samples, weather data, crop information, remote sensing, and historical data. The PhD will be part of a team that