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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
, including canopy height, tree crown size, leaf area index and aboveground biomass, using multiple sources of remotely sensed data, including very high-resolution imagery, lidar, radar and medium resolution
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 15 days ago
[email protected] Qualifications Demonstrated experience in analyzing and interpreting atmospheric profile data (e.g., ozonesondes, LIDAR, or aircraft data). Familiarity with satellite remote sensing
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; Experience with EO remote sensing algorithm development and EO product validation; Experience with open source and computing programming using Python and C/C++. Experience in the following areas will be
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
inventories) with satellite remote sensing data (e.g., spaceborne lidar and/or hyperspectral observations) and apply machine learning and deep learning approaches to address these questions. This position is
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
sources of remotely sensed data, including very high-resolution imagery, lidar, radar and medium resolution optical data along with ancillary data. This post-doc will work closely with the other post-doc