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RSC4Earth
RSC4Earth
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Remote Sensing in Geo- and Ecosystem Research
Earth System Data Science
Remote Sensing Department at the UFZ
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Jana Eichel
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Deadtrees.Earth - An Open-Access and Interactive Database for Centimeter-Scale Aerial Imagery to Uncover Global Tree Mortality Dynamics
Convolutional Neural Networks Accurately Predict Cover Fractions of Plant Species and Communities in Unmanned Aerial Vehicle Imagery
Unmanned Aerial Vehicle-based Mapping of Turf-banked Solifluction Lobe Movement and Its Relation to Material, Geomorphometric, Thermal and Vegetation Properties
Convolutional Neural Networks Enable Efficient, Accurate and Fine-Grained Segmentation of Plant Species and Communities from High-Resolution UAV Imagery
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