Prof. Dr. Birgit Kleinschmit

Aljoumani, B., Sanchez-Espigares, J., Kluge, B., Wessolek, G. and Kleinschmit, B. (2022). Analyzing Temporal Trends of Urban Evaporation Using Generalized Additive Models. Land

Vallentin, C., Harfenmeister, K., Itzerott, S., Kleinschmit, B., Conrad, C. and Spengler, D. (2022). Suitability of satellite remote sensing data for yield estimation in northeast Germany. Precision Agriculture, 52–82.

Duarte Rocha, A., Vulova, S., van der Tol, C., Förster, M. and Kleinschmit, B. (2022). Modelling hourly evapotranspiration in urban environments with SCOPE using open remote sensing and meteorological data. Hydrology and Earth System Sciences

Rocchini, D., Salvatori, N., Beierkuhnlein, C., Chiarucci, A., de Boissieu, F., Förster, M., Garzon-Lopez, C., Gillespie, T. W., Hauffe, H., He, K., Kleinschmit, B., Lenoir, J., Malavasi, M., Moudrý, V., Nagendra, H., Payne, D., Šímová, P., Torresani, M., Wegmann, M. and Féret, J.-B. (2021). From local spectral species to global spectral communities: A benchmark for ecosystem diversity estimate by remote sensing.. Ecological Informatics. Elsevier, 1-10.

Hölzl, S. E., Veskov, M., Scheibner, T., Le, T. T. and Kleinschmit, B. (2021). Vulnerable socioeconomic groups are disproportionately exposed to multiple environmental burden in Berlin - implications– for planning. International journal of urban sustainable development, 1-18.

Gränzig, T., Fassnacht, F. E., Kleinschmit, B. and Förster, M. (2021). Mapping the fractional coverage of the invasive shrub Ulex europaeus with multi-temporal Sentinel-2 imagery utilizing UAV orthoimages and a new spatial optimization approach.. International Journal of Applied Earth Observation and Geoinformation

Bauhus, J., Seeling, U., Dieter, M., Farwig, N., Hafner, A., Kätzel, R., Kleinschmit, B., Lang, F., Lindner, M., Möhring, B., Müller, J., M., N., Richter, K. and Schraml, U. (2021). Die Anpassung von Wäldern und Waldwirtschaft an den Klimawandel. Berichte über Landwirtschaft-Zeitschrift für Agrarpolitik und Landwirtschaft, 1-158.

Schulz, C., Holtrave, A. and Kleinschmit, B. (2021). Large-scale winter catch crop monitoring with Sentinel-2 time series and machine learning–An alternative to on-site controls?. Computers and Electronics in Agriculture

Vulova, S., Meier, F., Rocha, A. D., Quanz, J., Nouri, H. and and Kleinschmit, B. (2021). Modeling urban evapotranspiration using remote sensing, flux footprints, and artificial intelligence. Science of The Total Environment, 1-13.

Vulova, S., Meier, F., Fenner, D., Nouri, H. and Kleinschmit, B. (2020). Summer Nights in Berlin, Germany: Modeling Air Temperature Spatially With Remote Sensing, Crowdsourced Weather Data, and Machine Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1-15.