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Letzte Aktualisierung: 10.03.2024 11:02 Uhr
1-25 von 767 |
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., KOÁNOVÁ, 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.
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.
STEINHAUSER, S., WOCHER, M., HALABUK, A., KOŠÁNOVÁ, 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.
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.
PROBST, E., FADER, M. & MAUSER, W. (2024): The water-energy-food-ecosystem nexus in the Danube River Basin: Exploring scenarios and implications of maize irrigation, Science of The Total Environment 914(169405), DOI: 10.1016/j.scitotenv.2023.169405, Reviewed, published.
Miller, J., Böhnisch, A., Ludwig, R., Brunner, M. I. (2024): Climate change and impacts on regional fire weather in heterogeneous landscapes of central Europe, Nat. Hazards Earth Syst. Sci., Reviewed, 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.
Jörges, C., et al. (2024): Learning from hyperspectral remote sensing data for machine learning algorithms in earth science - A case study to detect plastic-covered greenhouses and plastic-mulched farmlands, In: Biodiversität fördern durch digitale Landwirtschaft. C. Hoffmann et al.; Lecture Notes in Informatics (LNI); Gesellschaft für Informatik, 305-310, Bonn, Germany, Article in Book, published.
Shuxin Ji, Batnyambuu Dashpurev, Thanh Noi Phan, Munkhtsetseg Dorj, Yun Jäschke, Lukas W. Lehnert (2024): Above-ground biomass retrieval with multi-source data: Prediction and applicability analysis in Eastern Mongolia, Land Degradation and Development, Reviewed, 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.
STEINHAUSER, S., WOCHER, M., HALABUK, A., KOÁNOVÁ, 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.
E. Felsche, A. Böhnisch, R. Ludwig (2023): Inter-seasonal connection of typical European heatwave patterns to soil moisture, npj Climate and Atmospheric Science, Reviewed, published.
PROBST, E. & MAUSER, W. (2023): Climate Change Impacts on Water Resources in the Danube River Basin: A Hydrological Modelling Study Using EURO-CORDEX Climate Scenarios, Water 15(1), 8, DOI: 10.3390/w15010008, Reviewed, published.
A. Böhnisch, E. Felsche, R. Ludwig (2023): European heatwave tracks: Using causal discovery to detect recurring pathways in a single-regional climate model large ensemble, Environmental Research Letters, Reviewed, 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.
Leonhard Hufnagl, Roland Eichinger, Hella Garny, Thomas Birner, Ales Kuchar, Patrick Jöckel, Phoebe Graf (2023): Stratospheric Ozone Changes damp the CO2-induced Acceleration of the Brewer-Dobson Circulation, American Meteorological Society - Journal of Climate, Reviewed, published.
B Dashpurev, M Dorj, TN Phan, J Bendix, L Lehnert (2023): Estimating fractional vegetation cover and aboveground biomass for land degradation assessment in eastern Mongolia steppe: combining ground vegetation data and remote sensing, International Journal of Remote Sensing , Reviewed, 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.
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