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and heritage people. Where to apply Website https://phd.fbk.eu/calls/detail/ai-enhanced-lidar-driven-analyses-for-detecting… Requirements Research FieldOtherEducation LevelMaster Degree or equivalent
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 5 days ago
of vegetation vulnerability and fire response. During the appointment, the participant will have the opportunity to collaborate on developing structural vegetation representations from LiDAR observations
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variability and natural disturbances. The research will integrate NASA Earth observations, spaceborne LiDAR measurements, hydroclimatic information, and Earth-observation foundation models to move beyond static
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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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program. Analyze and interpret remote sensing datasets (satellite, UAV, and/or LiDAR-derived) relevant to fire, fuels, and landscape-scale research questions. Develop and/or adapt machine learning and deep
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citizens from Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https
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, preprocesamiento y procesado avanzado de datos de observación de la Tierra multifuente, incluyendo imágenes Sentinel‑1 y Sentinel‑2, nubes de puntos LiDAR y otros sensores (hiperespectrales, UAV, etc.).Ingestion
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), medical sensors (e.g. optical coherence tomography), fiber Bragg grating sensors for temperature or strain measurement, light detection and ranging (LiDAR) and others. Recently, information processing has
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Sentinel-2) and integrate them with ancillary data including airborne lidar, tree-species maps, and gridded climate fields. Produce spatially explicit climate risk layers, including drought-stress maps by
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physics, atmospheric aerosols, air pollution, remote sensing, or related subjects. Demonstrated experience in the use of active and passive remote sensing techniques, including lidar techniques, ground