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, photogrammetry and LiDAR, and algorithms that allow the automatic extraction of geometric and non-geometric information, for incorporation into BIM models and subsequent validation on the FireBIM platform. 5
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datasets that include over 110,000 tree species annotations, along with climatic, topographic, and lidar data. Test the best algorithms developed for the identification of tree species over large areas
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Do you want to shape the future of digital nature monitoring? Do you have experience with LiDAR, AI, and ecology — and want to contribute to remote sensing research for biodiversity and ecosystems
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Do you want to shape the future of digital nature monitoring? Do you have experience with LiDAR, AI, and ecology—and want to contribute to remote sensing research for biodiversity and ecosystems
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forest recovery across California, Oregon, and Washington. Funded by NASA GEDI, this project will leverage spaceborne lidar, multispectral and thermal satellite observations, and the ELM-FATES-SPITFIRE
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vegetation structure as derived from LiDAR measurements. • Assist in developing and validating turbulence models (RANS frameworks) and coupling them with a process-based vegetation dynamics model. • Perform
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the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises: An stipend for 3.5 years (currently £20,780 p.a. for 2026/27) in line with UK Research
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implement algorithms for image processing and analysis of multisensor data (RGB, LiDAR, hyperspectral). Design and implement explainable AI (XAI) models for the detection and quantification of grape berry
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Engineer, Lunar and Planetary Laboratory Posting Number req24235 Department Lunar and Planetary Laboratory Department Website Link https://www.lpl.arizona.edu/ Location Main Campus Address Tucson, AZ USA
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integrated photonic systems for the generation, control, and reception of free-space laser beams. Optical communications and LiDAR are the main application targets. The successful candidate will contribute