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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 15 days ago
or computational modeling. Favorable candidates will possess academic research experience with remote sensing data, specifically LiDAR (e.g., GEDI), Synthetic Aperture Radar (SAR), and multispectral optical time
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Recherche Scientifique (CNRS). The fellow will work on the project's “Decarbonization” pillar, with a focus on the analysis of the spatio-temporal dynamics of peri-urban forests, using LiDAR remote sensing
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 15 days ago
and terrestrial ecosystems. Research Focus This NPP opportunity invites research proposals that utilize high-fidelity imaging spectroscopy data—integrated with active remote sensing, topographic models
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circumstances, the doctoral degree can have been completed earlier. Additional requirements: PhD in physical geography, remote sensing, geoinformatics, forest ecology, environmental science, or a closely related
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 10 hours ago
the western United States. The project will provide hands-on experience in satellite remote sensing, geospatial analysis, wildfire science, and multi-sensor Earth observation, complementing the participant’s
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atmospheric remote sensing, atmospheric physics, or a closely related field; • Experience in atmospheric remote sensing, lidar observations, aerosol physics, and radiative transfer; • Strong scientific
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. Experience working with satellite remote-sensing data such as Landsat, Sentinel, MODIS, SAR, LiDAR, or derived land-cover and vegetation product, and experience with in-the-cloud image processing Experience
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. The candidate will collaborate with multidisciplinary researchers in robotics, surveying, remote sensing, and artificial intelligence. This on-site position resides in the Building Envelope Materials Research
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technologies, digital soil mapping/pedometrics, proximal/remote sensing, and geospatial modeling. The ideal candidate will work and collaborate closely within a research team at Texas A&M AgriLife and USDA-ARS
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sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and computational science for health and environment