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Remote sensing-based biomass estimation has attracted much attention due to the relative ease and low cost of acquiring remotely sensed data over nearly inaccessible forested areas. To date, the AGB
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and remote sensing imagery for ecosystem monitoring. Develop machine/deep learning-based workflows to interpret ecosystem disturbance. Synthesize model simulations and multi-source observations
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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
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new international Master of Science (Technology) degree programme, particularly in the fields of remote sensing and geospatial computing, while also advancing research on digital waters. The position is
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/Cross_ECV_Projects/ , https://www.esa.int/Applications/Observing_the_Earth/FutureEO/ESA_selects_Harmony_as_tenth_Earth_Explorer_mission ) The candidate will develop and apply cutting-edge remote sensing
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remote sensing of the cryosphere Apply for this job See advertisement About the position We invite applications for position as PhD Research Fellow in remote sensing of the cryosphere at the Department