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Remote sensing for agriculture and vegetation systems. The successful candidate will work in an interdisciplinary project team that aims to map plant traits (e.g., chlorophyll, nitrogen) and weeds using
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26.02.2024, Wissenschaftliches Personal The professorship for Remote Sensing Applications (https://www.asg.ed.tum.de/rsa), Department of Aerospace and Geodesy, TUM School of Engineering and Design
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well as remotely sensed data, will be used to create a bioclimatic model for impact on, for example, recreationists, walkers, and athletes in the project region. The candidate we are looking for ideally has: A solid
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between forest dynamics and carbon sequestration processes A solid background in remote sensing and its application to forest ecology Experience with core sampling and retrospective analysis for carbon
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extraction from remote sensing data in close cooperation with the Department EO Data Science of the Remote Sensing Technology Institute of the German Aerospace Center (DLR). For this international, exciting
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for Data Science in Earth Observation develops innovative methods for information extraction from remote sensing data in close cooperation with the Department EO Data Science of the Remote Sensing Technology
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in Earth Observation develops innovative methods for information extraction from remote sensing data in close cooperation with the Department EO Data Science of the Remote Sensing Technology Institute
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with the German Aerospace Center’s Remote Sensing Technology Institute, has created the biggest European research team on AI for Earth Observation (AI4EO) over the past few years. Starting in 2022, we will
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with the German Aerospace Center’s Remote Sensing Technology Institute, has created the biggest European research team on AI for Earth Observation (AI4EO) over the past few years. Starting in 2022, we will begin