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lidars such as the Cloud-Aerosol Transport System (CATS) on the ISS and the Ice, Cloud,and land Elevation Satellite-2 (ICESat-2), as well as lidar instrumentation operated from high-altitude NASA research
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representations from LiDAR observations, including GEDI-derived canopy height, vertical structure, and aboveground biomass products. Through this research, the participant will learn to establish metrics for
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
representations from LiDAR observations, including GEDI-derived canopy height, vertical structure, and aboveground biomass products. Through this research, the participant will learn to establish metrics for
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Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH | Barcelona, Cataluna | Spain | 3 days ago
inference from data from a multimodal sensor (cameras, radar, and solid-state LiDAR). Carry out the processing in the ROS (Robotics Operating System) environment. Where to apply Website https
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
3-channel Raman LIDAR and a 9-channel multi-angle polarimeter. The combined capabilities from these two instruments will provide unprecedented characterization of aerosol optical and physical
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forestry. Job description The core responsibility of the position is to transform drone- and LiDAR-based forest datasets into high-quality scientific outputs. This includes: • processing UAV LiDAR
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and smoke disturb cameras and lidar. The position also covers cooperation between ground robots and drones. You will develop SLAM that combines radar, inertial sensors, lidar and cameras, and control
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language, designed to run on an iPhone and exploit the capabilities of the smartphone’s sensor suite, including LiDAR, accelerometer, camera, and GPS sensors, for forest-environment mapping. The
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: https://www.idpan.poznan.pl/en-us/recruitment and https://psd-ipan.ichb.pl/index.php/en/home/  ; Research topic: Remote sensing of forest soil biodiversity Principal Investigator / Research group
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-denied and electronically contested environments, leveraging Vision-Language-Action (VLA) models, multi-sensor fusion (LiDAR, radar, cameras, IMU), semantic SLAM, and EW-resilient mission planning. The