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. Description: This research opportunity is for candidates with special interest in radar remote sensing of vegetation. The proposed project includes radar scattering and ecosystem modeling. The remote sensing
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. Description: Imaging spectroscopy presents a new window on terrestrial ecosystem function and biodiversity, allowing remote sensing to progress from studying greenness to observing a key dimension of diversity
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of the most interesting and important environmental changes are taking place), and are typically destructive to the target plants. Remote sensing methods --- ranging from handheld and drone-based measurements
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learning tools to do snow parameters retrievals. Current projects in our lab range from theoretical and experimental atmospheric science into radiative transfer, climate dynamics, remote sensing of the land
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consider one or multiple subtopics that our group is particular interested in and invests on: (1) ice microphysics remote sensing from infrared to microwave spectra (TIR, FIR, sub-mm, MW); (2) cloud
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Organization National Aeronautics and Space Administration (NASA) Reference Code 0292-NPP-NOV26-GSFC-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA Postdoctoral Program website for application instructions and requirements: How to Apply | NASA...
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and satellite based remote sensing for health risk. Why should I apply? Under the guidance of a mentor, you will gain hands-on experience to complement your education and support your academic and
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Agricultural Research Service in the Food Systems Research Unit in Burlington, VT, focuses on characterizing long-term phenology of perennial pasturelands of the Northeastern US, using remote sensing tools, and
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. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). We are seeking a post-doctoral fellow interested in employing NASA and perhaps non-NASA remote sensing
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networks Advanced understanding of remote sensing principles Experience working with large remote sensing datasets Strong programing skills with a preference for Python and Julia languages Strong record