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education and research in the areas of forest planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also responsible
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Department of Forest Resource Management The Department of Forest Resource Management conducts education and research in the areas of forest planning, forest remote sensing, forest inventory and
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. We will combine field measurements with remote sensing and GIS techniques to better estimate the sensitivity of water levels to climate throughout northern Fennoscandia. The results from this project
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field measurements with remote sensing and GIS techniques to better estimate the sensitivity of water levels to climate throughout northern Fennoscandia. The results from this project are intended
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coupling plants, biogeochemical cycles, ecosystems, and environmental conditions, and/or statistical analyses of large datasets, including from remote sensing, as well as strong quantitative and programming
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and being able to sense, activate and communicate, define the domain of sensor networks and distinguish it from remote sensing and traditional centralised sensing systems. Embedded sensor network may
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communicate, define the domain of sensor networks and distinguish it from remote sensing and traditional centralised sensing systems. Embedded sensor network may convey sensitive technical and personal
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test methods and develop guidelines to be used for monitoring of climate impacts on northern lakes. The project will include field studies, remote sensing and modelling of lakes and their catchments in
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, biogeochemical cycles, ecosystems, and environmental conditions, and/or statistical analyses of large datasets, including from remote sensing, as well as strong quantitative and programming skills (in MatLab, R
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from remote sensing, as well as strong quantitative and programming skills (in MatLab, R, Python, C, Mathematica, or other languages for data analysis and model implementation) are merits. The selection