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Letzte Aktualisierung: 15.11.2022 15:38 Uhr


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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.

Karen Baumann, Patrick Jung, Lukas W. Lehnert, Elena Samolov, Christel Baum, Jörg Bendix, Ulf Karsten, Burkhard Büdel, Peter Leinweber (2022): Ökologische Nischen für Pioniere in der Atacama. Die Grüne Wüste ­Südamerikas? , Biologie Unserer Zeit, Proceeding, 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.

Schneider, J.M.,Zabel, F., Schünemann, F., Delzeit, R., Mauser, W. (2022): Global cropland could be almost halved: Assessment of land saving potentials under different strategies and implications for agricultural markets, PLOS ONE, 26, Reviewed, published.

Schneider J.M. , Zabel F., Schünemann F., Delzeit R., Mauser W. (2022): Global cropland could be almost halved: Assessment of land saving potentials under different strategies and implications for agricultural markets, PLOS ONE, Reviewed, published.

PROBST, E. & MAUSER, W. (2022): Evaluation of ERA5 and WFDE5 forcing data for hydrological modelling and the impact of bias correction with regional climatologies: A case study in the Danube River Basin, Journal of Hydrology: Regional Studies, 40, DOI: 10.1016/j.ejrh.2022.101023, Reviewed, 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.

Maurischat, P., Lehnert, L., Zerres, V. H. D., Tran, T. V., Kalbitz, K., Rinnan, Å., Li, X. G., Dorji, T. & Guggenberger, G. (2022): The glacial–terrestrial–fluvial pathway: A multiparametrical analysis of spatiotemporal dissolved organic matter variation in three catchments of Lake Nam Co, Tibetan Plateau, Science of The Total Environment, 156542, Reviewed, published.

Phan, T.-N., Dashpurev, B., Wiemer, F. & Lehnert, L. W. (2022): A simple, fast, and accurate method for land cover mapping in Mongolia, Geocarto International., 1-17, Reviewed, published.

Mittermeier, M., Weigert, M., Rügamer, D., Küchenhoff, H., Ludwig, R. (2022): A deep learning based classification of atmospheric circulation types over Europe: projection of future changes in a CMIP6 large ensemble, Environmental Research Letters, Reviewed, 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.

WOCHER, M., BERGER, K., VERRELST, J. & HANK, T. (2022): Retrieval of carbon content and biomass from hyperspectral imagery over cultivated areas, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 193, pp. 104-114. https://doi.org/10.1016/j.isprsjprs.2022.09.003, Reviewed, published.

HANK, T., WOCHER, M., BERGER, K., VERRELST, J. & MAUSER, W. . (2022): Towards agriculturally relevant product retrieval from spaceborne spectroscopy data - Status and Challenges, 2nd Workshop on International Cooperation in Spaceborne Imaging Spectroscopy, Frascati (Italy), Abstract, published.

BERGER, K., ATZBERGER, C., HALABUK, A., HANK, T., RIVERA-CAICEDO, J.P., WOCHER, M., MOJSES, M., GERHATOVA, K., MORATA DOLZ, M., PASCUAL VENTEO, A.B., REYES MUÑOZ, PA. & VERRELST, J. (2022): Recent progress and challenges in the quantification of non-photosynthetic vegetation biomass from spaceborne imaging spectroscopy data, 2nd Workshop on International Cooperation in Spaceborne Imaging Spectroscopy, Frascati (Italy), Abstract, published.

Schneider, J.M., Zabel, F., Mauser, W. (2022): Global inventory of suitable, cultivable and available cropland under different scenarios and policies, Scientific Data, Reviewed, published.

Patrick Jung, Lukas W. Lehnert, Jörg Bendix, Guillaume Lentendu, Martin Grube, Fernando D. Alfaro, Camilo del Rio, José Luis Gutiérrez Alvarado, Liesbeth van den Brink and Michael Lakatos (2022): The grit crust: A poly-extremotolerant microbial community from the Atacama Desert as a model for astrobiology , Frontiers in Astronomy and Space Sciences , Reviewed, published.

MÜLLER, C., FRANKE, J., JÄGERMEYR, J., RUANE, A.C., ELLIOTT, J., MOYER, E., HEINKE, J., FALLOON, P., FOLBERTH, C., FRANCOIS, L., HANK, T., IZAURRALDE, R.C., JACQUEMIN, I., LIU, W., OLIN, S., PUGH, T.A.M., WILLIAMS, K., ZABEL, F. (2021): Exploring uncertainties of the full range of climate scenarios from CMIP5 and CMIP6 for global crop yields, Environmental Research Letters, 16(3), https://doi.org/10.1088/1748-9326/abd8fc, Reviewed, published.

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