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Meine Publikationen

Prof. Dr.  Tobias Benedikt Hank

Prof. Dr. Tobias Benedikt Hank

Professor*innen (apl.)
Außerplanmäßiger Professor im Bereich Fernerkundung mit Schwerpunkt auf hyperspektralen Anwendungen in der Landwirtschaft.

Letzte Aktualisierung: 15.03.2024 09:02 Uhr

 

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MÜLLER, C., JÄGERMEYR, J., FRANKE, J.A., RUANE, A.C., BALKOVIC, J., CIAIS, P., FALLOON, P., FOLBERTH, C., FRANCOIS, L., HANK, T., HOFFMANN, N., IZAURRALDE, C., KHABAROV, N., LIU, W., OLIN, S., PUGH, T.A.M., WANG, X., WILLIAMS, K., ZABEL, F. & ELLIOTT, J.W. (2024): Substantial differences in modeled crop yield sensitivities between models. , Earth's Future, 12, https://doi.org/10.1029/2023EF003773 , e2023EF003773 , Reviewed, published.

STEINHAUSER, S., WOCHER, M., HALABUK, A., KOŠÁNOVÁ, S. & HANK, T. (2024): Introducing the potential of the new hybrid retrieval processor in the EnMAP-Box for quantifying non-photosynthetic vegetation. , International Geosciences and Remote Sensing Symposium (IGARSS) , Athens (Greece) , Proceeding, published.

VAN DER LINDEN, S., JAKIMOW, B., JANZ, A., THIEL, F., CHABRILLAT, S., SCHEFFLER, D., KÖLLNER, N., DAEMPFLING, H., GUILLASO, S., WARD, K., HANK, T., STEINHAUSER, S., SOPPA. M.A., ALVARADO, L., BRACHER, A. & HOSTERT, P. (2024): EnMAP-Box: High-Level Anwendungen für Hyperspektraldaten kommen in der Anwendung an. , Nationales Forum für Fernerkundung und Copernicus 2024, BMDV , Berlin , Abstract, published.

STEINHAUSER, S., WOCHER, M., HALABUK, A., KOSÁNOVÁ, S. & HANK, T. (2024): Quantification and Mapping of Non-Photosynthetic Cropland Biomass Using Hyperspectral Data and Machine Learning , 13th EARSeL Workshop on Imaging Spectroscopy , Valencia (Spain) , Abstract, published.

HANK, T., STEINHAUSER, S., BANZE, A. & WOCHER, M. (2024): Towards informed default-parametrizations of machine-learning algorithms for biophysical variable retrieval in the EnMAP-Box , 13th EARSeL Workshop on Imaging Spectroscopy , Valencia (Spain) , Abstract, published.

CHABRILLAT, S., BRELL, M., SEGL, K., FOERSTER, S., MILEWSKI, R., ASADZADEH, S., WARD, K., SCHEFFLER, D., KOKHANOVSKY, A., GUILASSO, S., BROSINSKY, A., KOCH, K., HANK, T., BRACHER, A., ALTENBURG-SOPPA, M., SCHICKLING, A. & BOCK, M. (2024): EnMAP Mission After 2 Years in Orbit: Advances from the Scientific Exploitation Program , 13th EARSeL Workshop on Imaging Spectroscopy , Valencia (Spain) , Abstract, published.

BELGIU, M., MARSHALL, M., CANDIANI, G., BOSCHETTI, M., PEPE, M., NUTINI, F., ROSSINI, M., FERRÈ, CH., PANIGADA, C., COLOMBO, R., HAEFELE, S., LARK, M., MILNE, A., KANGARA, G., HANK, T., STEINHAUSER, S., VARGAS M. et al. (2024): Earth Observation for estimating and predicting crop nutrients , ESA Workshop EO for Agriculture under Pressure 13.-16.5.2024 , Frascati (Italy) , Abstract, published.

CHERIF, E., FEILHAUER, H., BERGER, K., EWALD, M., HANK, T. & KATTENBORN, T. (2023): From spectra to functional plant traits: Transferable multi-trait models from heterogeneous and sparse data , EGU 2023, 23.-28. April 2023 , Vienna (Austria) , Abstract, published.

CHERIF, E., FEILHAUER, H., BERGER, K., DAOI, P.D., EWALD, M., HANK, T.B., KOVACHI, K.R., TOWNSEND, P.A., WANG, Z. & KATTENBORN, T. (2023): From spectra to plant functional traits: Transferable multi-trait models from heterogeneous and sparse data. , Remote Sensing of Environment, Volume 292, 113580, https://doi.org/10.1016/j.rse.2023.113580. , Reviewed, published.

STEINHAUSER, S., WOCHER, M., HALABUK, A. & HANK, T. (2023): Quantification and Mapping of Non-Photosynthetic Cropland Biomass Using Laboratory Hyperspectral Data and Machine Learning. , EARSeL Symposium 3.-6. July 2023 , Bucharest (Romania) , Abstract, published.

HANK, T. (2023): Ein hyperspektraler Blick auf unsere Erde - Anwendungen der Daten des EnMAP-Satelliten. , DGLR-Magazin der Deutschen Gesellschaft für Luft- und Raumfahrt, Ausgabe 2/2023. , Article in Book, published.

JÖRGES, C., VIDAL, H.S., HANK, T. & BACH, H. (2023): Detection of solar photovoltaic power plants using satellite and airborne hyperspectral imaging , Remote Sensing 15 (13), 3403, https://doi.org/10.3390/rs15133403 , Basel (Schweiz) , Reviewed, published.

VERRELST, J, HALABUK, A., ATZBERGER, C., HANK, T., STEINHAUSER, S. & BERGER, K. (2023): A comprehensive survey on quantifying non-photosynthetic vegetation cover and biomass from imaging spectroscopy , Ecological Indicators, Volume 155, 110911, https://doi.org/10.1016/j.ecolind.2023.110911. , Reviewed, published.

BACH, H., KLUG, P., BROHMEYER, F., HANK, T., KÜHL, K. & MAUSER, W. (2022): Digital Twins for Sustainable Fertilization. , International Conference on Digital Technologies for Sustainable Crop Production (DIGICROP) , Bonn (Germany), virtual event , Abstract, published.

BERGER, K., HALABUK, A., HANK, T., RIVERA-CAICEDO, J.P., WOCHER, M., MOJSES, M., GERHATOVA, K., TAGLIABUE, G., MORATA DOLZ, M., PASCUAL VENTEO, A.B., REYES MUNOZ, P., & VERRELST, J. (2022): Recent Progress and Challenges in the Derivation of Non-photosynthetic Cropland Biomass from Spaceborne Imaging Spectroscopy Data , 12th EARSeL Workshop 2022 , Potsdam (Germany) , Abstract, published.

BRELL, M.; GUANTER, L.; SCHEFFLER, D.; BOHN, N.; SEGL, K.; ALTENBURG SOPPA, M.; GORRONO, J.; BRACHER, A.; HANK, T.; BACHMANN, M.; CARMONA, E.; STORCH, T.; FOERSTER, S.; SCHICKLING, A. & CHABRILLAT, S. (2022): EnMAP Data Product Validation - Status , 12th EARSeL Workshop 2022 , Potsdam (Germany) , Abstract, published.

WOCHER, M., BERGER, K., VERRELST, J. & HANK, T. (2022): Retrieval of Carbon Content and Biomass from Hyperspectral Imagery over Cultivated Areas , 12th EARSeL Workshop 2022 , Potsdam (Germany) , Abstract, published.

MÜLLER, CH., JÄGERMEYR, J., ELLIOTT, J., RUANE, A., BALKOVIC, J., CIAIS, PH., FALLOON, P., FOLBERTH, CH., FRANCOIS, L., HANK, T., HOFFMANN, M., IZAURRALDE, C., KHABAROV, N., LIU, W., OLIN, S., PUGH, T., WANG, X., WILLIAMS, K. & ZABEL, F. (2022): Regional and model-specific response types in a global gridded crop model ensemble , EGU General Assembly 2022 , EGU22-9266 , Vienna, (Austria) , Abstract, published.

WOCHER, M., BERGER, K. & HANK, T. (2022): Quantifying seasonal dynamics in crops using the EnMAP-Box Agricultural Applications , ESA Living Planet Symposium 2022 , Bonn (Germany) , Abstract, published.

HARTWEG, R.B., HANK, T.B., STEINHAUSER, S., WOCHER, M., BERGER, K. & MAUSER, W. (2022): Development of a hand-held, low-cost, open-hardware hyperspectral VIS platform for educational and scientific applications , ESA Living Planet Symposium 2022 , Bonn (Germany) , Abstract, published.

RITTMÜLLER, E., WERNER, CH., BACH, H., KLUG, PH., MAUSER, W., MIGDALL, S., KAUSCH, I., PROBST, E. & HANK, T. (2022): Virtual Water Values - High resolution remote sensing based monitoring system for agricultural water use efficiency , ESA Living Planet Symposium 2022 , Bonn (Germany) , Abstract, published.

VERRELST, J., PORTALES-JULIÀ, E., AMIN, E., MORATA DOLZ, M., REYEZ MUÑOZ, P., PASCUAL-VENTEO, A.B., RIVERA-CAICEDO, J.P., TAGLIABUE, G., PANIGADA, C., BOSCHETTI, M., SEGL, K., GUILLASO, S., BERGER, K., WOCHER, M., HANK, T., ISOLA, C. (2022): Prototyping L2 vegetation traits models in support of the hyperspectral mission CHIME , ESA Living Planet Symposium 2022 , Bonn (Germany) , Abstract, published.

VERRELST, J., PORTALES, E., AMIN, E., MORATA, M., REYES, P., PASCUAL VENTEO, A.B., GARCIA, J., RIVERA, J., TAGLIABUE, J., PANIGADA, C., BOCANDIANI, G., SEGL, K., ISOLA, C., BOSCHETTI, M., HANK, T., WOCHER, M. & BERGER, K. (2022): Advances in Vegetation Traits Models in the Context of the Hyperspectral CHIME Mission Preparation , 12th EARSeL Workshop 2022 , Potsdam (Germany) , Abstract, published.

BRELL, M.; GUANTER, L.; SCHEFFLER, D.; BOHN, N.; SEGL, K.; ALTENBURG SOPPA, M.; GORRONO, J.; BRACHER, A.; HANK, T.; BACHMANN, M.; CARMONA, E.; STORCH, T.; FOERSTER, S.; SCHICKLING, A. & CHABRILLAT, S. (2022): EnMAP Data Product Validation Activities during the Commissioning Phase , 12th IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing , Rome (Italy) , Abstract, published.

BERGER, K., MACHWITZ, M., KYCKO, M., KEFAUVER, S.C., VAN WITTENBERGHE, S., GERHARDS, M., VERRELST, J., ATZBERGER, C., VAN DER TOL, C., DAMM, A., RASCHER, U., HERRMANN, I., SOBEJANO PAZ, V., FAHRNER, S., PIERUSCHKA, R., PRIKAZIUK, E., BUCHAILLOT, L., HALABUK, A., CELESTI, M., KOREN, G., TUNC GORMUS, E., ROSSINI, M., FOERSTER, M., SIEGMANN, B., ABDELBAKI, A., TAGLIABUE, G., HANK, T., DARVISHZADEH, R., AASEN, H., GARCIA, M., PÔÇAS, I., BANDOPADHYAY, S., SULIS, M., TOMELLERI, E., ROZENSTEIN, O., FILCHEV, L., STANCILE, G. & SCHLERF, M. (2022): Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review. , Remote Sensing of Environment. Volume 280, 113198, https://doi.org/10.1016/j.rse.2022.113198 , Reviewed, published.

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