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Field
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. Detailed description of the work duties, such as: Deputy group leader of the biophotonic sensing group. Research within laser remote sensing of the biosphere including animal-, plant- and fungi- kingdoms
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using machine learning and deep learning techniques to generate indicators that allow remote monitoring of restoration. Knowledge of remote sensing (e.g. GEDI, LiDAR, multispectral) and programming (e.g
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 3 months ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). Remote sensing data provide essential information on the spatial and temporal variability in vegetation
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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
products from the TanDEM-X radar mission, large airborne and field-based LiDAR datasets, and process-based models, as well as other openly available remote sensing and field datasets. The diverse data will
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track record in the field of remote sensing, large-area processing, and analysis (incl. LIDAR, ground/satellite data integration) or a closely related scientific field Awareness of how biomass monitoring
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collected at the JPRF ASCC site over the past five years. Experience working with remote sensing data and aerial LiDAR, will be a definite asset.The JPRF ASCC installation is part of the ASCC network, a set
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of ecological, coastal, and geological research as well as perform analyses with Remote Sensing (optical and lidar), Geographic Information Systems (GIS), Python, R, and/or other programming languages or image
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and remote sensing. Experience with environmental modeling, downscaling, and data integration techniques. Salary Range $55,000 + depending on qualifications. Working Conditions May work around standard
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 3 months ago
. Description: This postdoc opportunity is for candidates with special interest in the remote sensing of global forest carbon dynamics. The successful candidate will work with optical and microwave remote sensing
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on Landsat, Sentinal-2 and NAIP, remote sensing foundation models, and programming in Python is highly desirable. Knowledge on SAR and lidar is a plus. Required Qualifications We seek highly motivated, well