Unit: Environmental Sensing and Modelling
Group: Remote Sensing & Natural Resources Modelling
Social links: ORCID / Scholar / ReserachGate
Languages: German, English
I am interested in the measurement, processing, and analysis of spectral signatures and images of the Earth's surface, their use to derive relevant information, in particular plant functional traits, condition and stress of agricultural crops and forests, and their integration into ecosystem models. I contribute to Earth Observation Science by developing innovative retrieval algorithms and analyzing spatial-temporal patterns at various scales in connection with other geo-factors, with the aim to better understand ecosystem changes and to solve real world problems.
Estimation of nitrogen in crop, forest, mangrove, and grassland through imaging spectroscopy (various papers, e.g. https://doi.org/10.1007/s11119-022-09918-y) Co-developer of the Invertible Forest Reflectance Model (INFORM) https://doi.org/10.1016/j.rse.2005.10.006 Conceptualization of sensor synergy use in EO for crop stress detection (with K. Berger, M. Machwitz et al.) https://doi.org/10.1016/j.rse.2022.113198 Operation of a hyperspectral thermal infrared airborne system, data processing and analysis for vegetation and defense applications (with M. Gerhards, F. Ronellenfitsch) https://doi.org/10.3390/rs4123995 Contribution to the development of the Digital Twin Component Agriculture to ESA (with M. Sulis et al.)
Advancing optical earth observation for EU policies: needs, opportunities, recommendations
Berger K., Hostert P., Schlerf M., Immitzer M., Szantoi Z., Okujeni A., Foerster S., Colditz R., Giardino C., Machwitz M., Weiss M., Defourny P., Kutser T., Remeta P., Foerster M., Féret J.B., Asadzadeh S., Chabrillat S., Croft H., Stassin T., Schickling A., Vancutsem C., Celesti M., Proud S., Jonckheere I., Strobl P., Milewski R., Herold M.
Environmental Sciences Europe, vol. 38, n° 1, art. no. 52, 2026
An AI-ready remote sensing dataset for high-resolution forest disturbance mapping
Rodríguez-Paulino E., Stoffels J., Schlerf M., Röder A., Wagner A., Udelhoven T.
Scientific Data, vol. 13, n° 1, art. no. 490, 2026
Corbari C., Hu T., Paciolla N., Schlerf M., Mallick K., Ronellenfitsch F.K., Ceppi A., Crisafulli V., Bossung C., Feki M., Llorens R., Skokovic D., Al Bitar A., Sobrino J., Mancini M.
Remote Sensing Applications Society and Environment, vol. 38, art. no. 101563, 2025
Optimizing hybrid models for canopy nitrogen mapping from Sentinel-2 in Google Earth Engine
De Clerck E., D.Kovács D., Berger K., Schlerf M., Verrelst J.
ISPRS Journal of Photogrammetry and Remote Sensing, vol. 218, pp. 530-545, 2024
Crop stress detection from UAVs: best practices and lessons learned for exploiting sensor synergies
Chakhvashvili E., Machwitz M., Antala M., Rozenstein O., Prikaziuk E., Schlerf M., Naethe P., Wan Q., Komárek J., Klouek T., Wieneke S., Siegmann B., Kefauver S., Kycko M., Balde H., Paz V.S., Jimenez-Berni J.A., Buddenbaum H., Hänchen L., Wang N., Weinman A., Rastogi A., Malachy N., Buchaillot M.L., Bendig J., Rascher U.
Precision Agriculture, vol. 25, n° 5, pp. 2614-2642, 2024
