Mapping evapotranspirative and radiative cooling services in an urban environment
Following the cosmic-ray-neutron-sensing-based soil moisture under grassland and forest: Exploring the potential of optical and SAR remote sensing
Estimating soil moisture content under grassland with hyperspectral data using radiative transfer modelling and machine learning
Abgeschlossenes wissenschaftliches Hochschulstudium (Master, Diplom oder Äquivalent) als Geoinformatiker*in, Informatiker*in oder im Bereich Umweltwissenschaften
100% TV-L E13
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Large-scale winter catch crop monitoring with Sentinel-2 time series and machine learning – An alternative to on-site controls? Journal: Computers and Electronics in Agriculture.
Modelling hourly evapotranspiration in urban environments with SCOPE using open remote sensing and meteorological data. Journal: Hydrol. Earth Syst. Sci.
Suitability of satellite remote sensing data for yield estimation in northeast Germany. Journal: Precision Agriculture.
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