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fluorescence assessments, 3-D SfM/LiDAR, multispectral and hyperspectral remotely sensed data, and soil physicochemical measurements. The selected appointee will work under the general guidance of Dr. Flurin
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. Atmospheric measurements (in situ and remote sensing) provide a robust method to assess and improve emission inventories and to monitor the effectiveness of reduction measures. The project will develop
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Scientist / Scientific assistant – Tree species detection using deep-learning Are you an ambitious data scientist with strong analytical and numerical skills, and expertise in geomatics, remote sensing, and
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combining space-based remote sensing and modeling, it aims to better understand the evolution of forest fuels and their role in fire propagation. Tested on pilot forest areas (Centre-Val de Loire and Pyrénées
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materials testing pavement construction technologies pavement design and preservation strategies roadway forensics analysis geotechnical investigation remote sensing with LiDAR The Research Scientist
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Science, or a related field. Demonstrated expertise in satellite remote sensing (at least two of: lidar/GEDI, thermal/ECOSTRESS, optical Landsat/MODIS/VIIRS). Expertise with satellite remote sensing and
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project subcontracted through UGA. This project requires high-end skills in Geospatial Engineering & Technology including GeoAI, Geospatial Model Building, Remote Sensing (Satellite, LiDAR) Data Analyses
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qualifications: Ph.D. in Forest Resources Experience working with lidar data and appropriate algorithms Experience with GIS and remote sensing Knowledge of natural resource science as it applies to forestry Pay
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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