Publications

A special issue of Remote Sensing comprises a collection of research articles demonstrating the potential of EnMAP for various application fields along with overview articles on the mission and software tools developed as part of its scientific preparation.
Another recent special issue of Surveys in Geophysics with major contributions from the EnMAP science team presents review papers on the state of the art of imaging spectroscopy in various application fields and selected cross-application topics.

2021

Berger, K., Rivera Caicedo, J.P., Martino, L., Wocher, M., Hank, T., & Verrelst, J. (2021): A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data. Remote Sensing, 13(2), 287.doi: https://doi.org/10.3390/rs13020287

Danner, M.; Berger, K.; Wocher, M.; Mauser, W.; Hank, T. (2021): Efficient RTM-based training of machine learning regression algorithms to quantify biophysical and biochemical traits of agricultural crops. ISPRS J. Photogramm. Remote Sens, 173, 278-296.doi: https://doi.org/10.1016/j.isprsjprs.2021.01.017

Féret, J.-B., Berger, K., de Boissieu, F., & Malenovský, Z. (2021): PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents. Remote Sensing of Environment, 252, 1121173.doi: https://doi.org/10.1016/j.rse.2020.112173

2020

Alonso, K., Bachmann, M., Baumgartner, A., Carmona, E., Fischer, S., Gerasch, B., Habermeyer, M., Honold, H.-P., Krawczyk, H.,Langheinrich, M.,d Mücke, M., Figueiredo V.P., M.,de los Reyes, R., Schneider, M., Schwind, P.,Storch, T., Wachter, R. (2020): EnMAP - Calibration and Validation Activities. NASA SBG Cal/Val Workshop, 23.Juli 2020, USA, Washington, Online.

Berger, K., Verrelst, J., Féret, J.-B., Hank, T., Wocher, M., Mauser, W., & Camps-Valls, G. (2020): Retrieval of aboveground crop nitrogen content with a hybrid machine learning method. International Journal of Applied Earth Observation and Geoinformation, 92, 102174. doi: https://doi.org/10.1016/j.jag.2020.102174

Berger, K., Verrelst, J., Féret, J.-B., Wang, Z., Wocher, M., Strathmann, M., Danner, M., Mauser, W. & Hank, T. (2020): Crop nitrogen monitoring: recent progress and principal developments in the context of imaging spectroscopy missions. Remote Sensing of Environment, Volume 242, 111758. doi: https://doi.org/10.1016/j.rse.2020.111758

Bohn, N., Guanter, L., Kuester, T., Preusker, R., Segl, K. (2020): Coupled retrieval of the three phases of water from spaceborne imaging spectroscopy measurements. Remote Sensing of Environment, 242, 111708. doi: https://doi.org/10.1016/j.rse.2020.111708

Brell, M., Spengler, D., Rhutz, T., Ward, K., Chabrillat, S., Segl, K., Foerster, S., Itzerott, S. (2020): Demmin, Germany (October 2015) - An EnMAP Preparatory Flight Campaign. EnMAP Flight Campaigns Technical Report. GFZ Data Services. doi: https://doi.org/10.2312/enmap.2020.004

Brell, M., Spengler, D., Rhutz, T., Ward, K., Chabrillat, S., Segl, K., Foerster, S., Itzerott, S. (2020): Demmin, Germany (October 2015) - An EnMAP Preparatory Flight Campaign. GFZ Data Services. doi: https://doi.org/10.5880.enmap.2020.004

Cooper, S., Okujeni, A., Jänicke, C., Clark, M., van der Linden, S., Hostert, P.,(2020): Disentangling fractional vegetation cover: Regression-based unmixing of simulated spaceborne imaging spectroscopy data. Remote Sensing of Environment, Volume 246, 2020,111856, ISSN 0034-4257. doi: https://doi.org/10.1016/j.rse.2020.111856

Jänicke, C.,Okujeni, A.,Cooper, S., Clark, M., Hostert, P. & van der Linden, S. (2020): Brightness gradient-corrected hyperspectral image mosaics for fractional vegetation cover mapping in northern California. Remote Sensing Letters, 11:1, 1-10. doi: 10.1080/2150704X.2019.1670518

Milewski, R.; Eichstaedt, H.; Brell, M.; Behling, R.; Chabrillat, S.(2020): Omongwa Salt Pan, Namibia 2015 - An EnMAP Preparatory Flight Campaign. EnMAP Flight Campaigns Technical Report, GFZ Data Services.doi: https://doi.org/10.2312/enmap.2020.005

Salehi, S., Mielke, C., Rogaß, C. (2020): Mapping ultramafic complexes using airborne imaging spectroscopy and spaceborne data in Arctic regions with abundant lichen cover, a case study from the Niaqornarssuit complex in South West Greenland. European Journal of Remote Sensing, 53, 156-175. doi: https://doi.org/10.1080/22797254.2020.1760733

Storch, T. , Honold, H.-P., Alonso, K., Pato, M.,Mücke, M., Basili, P., Chabrillat, S., Fischer, S. (2020): Status of the Imaging Spectroscopy Mission EnMAP with Radiometric Calibration and Correction. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-1, Seiten 41-47.ISPRS 2020, 31. Aug. - 02. Sept. 2020, France, Nizza.doi: https://doi.org/10.5194/isprs-annals-V-1-2020-41-2020 ISSN 2194-9042.

Utschig, C., & Röttgers, R. (2020): Mass-specific light absorption coefficients of mineral particles in aqueous suspension for the ultraviolet to near-infrared radiation spectral region (200–2500 nm). Applied Optics, 59(33), 10554-10564. doi: https://doi.org/10.1364/AO.393289

Verrelst, J., Berger, K., & Rivera-Caicedo, J.P. (2020): Intelligent Sampling for Vegetation Nitrogen Mapping Based on Hybrid Machine Learning Algorithms. IEEE Geoscience and Remote Sensing Letters, 1-5.

Ward, K.J.; Chabrillat, S.; Brell, M.; Castaldi, C.; Spengler, S.; Foerster, S.(2020): Mapping soil organic carbon for airborne and simulated EnMAP imagery using the LUCAS Soil database and a local PLSR. Remote Sensing. 12, 3451. doi: https://doi.org/10.3390/rs12203451

Wocher, M., Berger, K., Danner, M., Mauser, W., & Hank, T. (2020): RTM-based dynamic absorption integrals for the retrieval of biochemical vegetation traits. International Journal of Applied Earth Observation and Geoinformation, 93, 102219. doi: 10.1016/j.jag.2020.102219

de los Reyes, R.,Langheinrich, M., Schwind, P., Richter, R., Pflug, B., Bachmann, M., Müller, R., Carmona, E., Zekoll, V., Reinartz, P. (2020): PACO: Python-Based Atmospheric Correction. Sensors, 20 (5), 1-21.doi: https://doi.org/10.3390/s20051428 ISSN 1424-8220.

2019

Alonso, K.; Bachmann, M.; Burch, K.; Carmona, E.; Cerra, D.e ; de los Reyes, R.; Dietrich, D.; Heiden, U.; Hölderlin, A.; Ickes, J.; Knodt, U.; Krutz, D.; Lester, H.; Müller, R.; Pagnutti, M.; Reinartz, P.; Richter, R.; Ryan, R.; Sebastian, I.; Tegler, M. (2019): Data Products, Quality and Validation of the DLR Earth Sensing Imaging Spectrometer (DESIS). Sensors, 19 (20), Seiten 4471-4515. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/s19204471 ISBN 1424-8220 ISSN 1424-8220

Baumgartner, A. (2019): Grating monochromator wavelength calibration using an echelle grating wavelength meter. Optics Express, 27 (10), Seiten 13596-13610. Optical Society of America. doi: 10.1364/OE.27.013596 ISSN 1094-4087

Bracken, A., Coburn, C., Staenz, K., Rochdi, N., Segl, K., Chabrillat, S., Schmid, T. (2019): Detecting soil erosion in semi-arid Mediterranean environments using simulated EnMAP data. Geoderma, 340, 164-174. doi: https://doi.org/10.1016/j.geoderma.2019.01.026

Carmona, E.; Alonso, K.; Bachmann, M.; Cerra, D.; Dietrich, D.; Heiden, U.; Knodt, U.; Krutz, D.; Müller, R.; de los Reyes, R.; Tegler, Mi.; Ziel, V. (2019): First Results of the DESIS Imaging Spectrometer On Board the International Space Station. In: International Geoscience and Remote Sensing Symposium (IGARSS), Seiten 4499-4502. IGARSS 2019, 28. Jul. - 02. Aug. 2019, Yokohama, Japan. ISBN 978-1-7281-0691-5.

Castaldi, F., Chabrillat, S., van Wesemael, B. (2019): Sampling Strategies for Soil Property Mapping Using Multispectral Sentinel-2 and Hyperspectral EnMAP Satellite Data. Remote Sensing, 11, 3, 309. doi: https://doi.org/10.3390/rs11030309

Chabrillat, S.; Ben-Dor, E.; Cierniewski, J.; Gomez, C.; Schmid, T.; van Wesemael, B. (2019): Imaging Spectroscopy for Soil Mapping and Monitoring. - Surveys in Geophysics, 40, 3, pp. 361-399, doi: 10.1007/s10712-019-09524-0.

Chabrillat, S.; Gholizadeh, A.; Neumann, C.; Berger, D.; Milewski, R.; Ogen, Y.; Ben-Dor, E. (2019): Preparing a Soil Spectral Library Using the Internal Soil Standard (ISS) Method: Influence of Extreme Different Humidity Laboratory Conditions. Geoderma, in print.

Danner, M., Berger, K., Wocher, M., Mauser, W. & Hank, T. (2019): Fitted PROSAIL Parameterization of Leaf Inclinations, Water Content and Brown Pigment Content for Winter Wheat and Maize Canopies. Remote Sensing 11(10), 1150. doi: https://doi.org/10.3390/rs11101150

Foerster, S., Guanter, L., Lopez, T., Moreno, J., Rast, M., Schaepman, M. E. (Eds. (2019): Exploring the Earth System with Imaging Spectroscopy. Space Sciences Series of ISSI 70, Springer International Publishing, 391p.

Foerster, S.; Guanter, L.; Lopez, T.; Moreno, J.; Rast, M.; Schaepman, M. E. (2019): Guest Editorial: International Space Science Institute (ISSI) Workshop on Space-Borne Imaging Spectroscopy for Exploring the Earth’s Ecosystems. - Surveys in Geophysics, 40, 3, pp. 297-301. doi: 10.1007/s10712-019-09516-0.

Guanter, L.; Brell, M.; Chan, J. C.; Giardino, C.; Gomez-Dans, J.; Mielke, C.; Morsdorf, F.; Segl, K.; Yokoya, N. (2019): Synergies of Spaceborne Imaging Spectroscopy with Other Remote Sensing Approaches. - Surveys in Geophysics, 40, 3, pp. 657-687. doi: 10.1007/s10712-018-9485-z.

Habermeyer, M.; Pinnel, N.; Storch, T.; Honold, H.-P.; Tucker, P.; Guanter, L.; Segl, K.; Fischer, S. (2019): The EnMAP Mission: From Observation Request to Data Delivery. IGARSS 2019, 28.07.-02.08.2019, Yokohama, Japan. doi: 10.1109/IGARSS.2019.8897821

Hieronymi, M. (2019): Spectral band adaptation of ocean color sensors for applicability of the multi-water biogeo-optical algorithm ONNS. Optics Express, 27 (12). doi: 10.1364/OE.27.00A707.

Jilge, M.; Heiden, U.; Neumann, C.; Feilhauer, H. (2019): Gradients in urban material composition: A new concept to map cities with spaceborne imaging spectroscopy data. Remote Sensing of Environment, 223, 179-193. Elsevier. doi: 10.1016/j.rse.2019.01.007 ISSN 0034-4257

Kahle, R.; Spiridonova, S.; Kirschner, M. (2019): Improved Reference Orbits for the Repeat-Ground-Track Missions EnMAP and Tandem-L. Transactions of the Japan Society for Aeronautical and Space Sciences, Aerospace Technology Japan, 17, Seiten 308-314. JSASS. doi: 10.2322/tastj.17.308 ISSN 1884-0485

König, M.; Hieronymi, M.; Oppelt, N. (2019): Application of Sentinel-2 MSI in Arctic research: Evaluating the performance of atmospheric correction approaches over Arctic sea ice. Frontiers in Earth Science, 7 (22). doi: 10.3389/feart.2019.00022.

Milewski, R., Chabrillat, S., Brell, M., Schleicher, A. M., Guanter, L. (2019): Assessment of the 1.75 μm absorption feature for gypsum estimation using laboratory, air- and spaceborne hyperspectral sensors. International Journal of Applied Earth Observation and Geoinformation, 77, 69-83. doi: https://doi.org/10.1016/j.jag.2018.12.012

Pinnel, N.; Gege, P.; Göritz, A. (2019): The hyperspectral sensors DESIS for aquatic ecosystems monitoring - a sensitivity study. 11th Earsel SIG IS Workshop, 06.-08. Feb. 2019, Brno, Czech Rebublic.

Pinnel, N.; Heiden, U.; Asamer, H.; Dietrich, D.; Mühle, H.; Habermeyer, M.; Storch, T. (2019): EnMAP User Interface - An Overview of EnMAP ground segment services. 11th Earsel SIG IS Workshop, 06.-08. Feb. 2019, Brno, Czech Rebublic.

Pope, Ch.; Baumgartner, A. (2019): Light source for stray light characterisation of EnMAP spectrometers. In: Proceedings of SPIE, 11151, 1115123_1-1115123_8. SPIE Remote Sensing 2019, 9.- 12. Sep. 2019, Strasbourg. doi: 10.1117/12.2531264

Schneider, M.; Baumgartner, A.; Schwind, P.; Carmona, E.; Storch, T. (2019): Differences and Similarities in the Processing of Airborne and Spaceborne Hyperspectral Data Shown on HySpex and EnMap Processing Chains. In: International Geoscience and Remote Sensing Symposium, Seiten 9164-9167. IEEE. IGARSS 2019, 28. Jul. - 02. Aug. 2019, Yokohama, Japan. doi: 10.1109/IGARSS.2019.8898527

Storch, T.; Honold, H.-P.; Krawczyk, H.; Alonso, K.; Pato, M.; Bachmann, M.; Wachter, R.; Mücke, M.; Fischer, S. (2019): Radiometric Characterization, Calibration, and Correction for the Imaging Spectroscopy Mission EnMAP. EARSeL SIG IS 2019, 06. - 08.02.2019, Brno, Tschechien.

Ward, K.J.; Chabrillat, S.; Neumann, C.; S. Foerster (2019): A remote sensing adapted approach for soil organic carbon prediction based on the spectrally clustered LUCAS soil database. Geoderma; 353, 1, 297-307, doi: 10.1016/j.geoderma.2019.07.010.

2018

Berger, K., Atzberger, C., Danner, M., Wocher, M., Mauser, W., Hank, T., (2018): Model-Based Optimization of Spectral Sampling for the Retrieval of Crop Variables with the PROSAIL Model. Remote Sens. 10, 2063.

Berger, K., Atzberger, C., Danner, M., Wocher, M., Mauser, W., Hank, T., (2018): Modellbasierte Selektion hyperspektraler EnMAP Kanäle zur optimalen Invertierung von Strahlungstransfermodellen für landwirtschaftliche Kulturen. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science 86, 263-272.

Berger, K., Atzberger, C., Danner, M; D’URSO, G., Mauser, W., Vuolo, F., Hank, T. (2018): Evaluation of the PROSAIL model capabilities for future hyperspectral model environments: A review study. MDPI Remote Sensing 2018, 10 (1), 85.

Berger, K., Wang, Z., Danner, M., Wocher, M., Mauser, W., Hank, T., (2018): Simulation of Spaceborne Hyperspectral Remote Sensing to Assist Crop Nitrogen Content Monitoring in Agricultural Crops. IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain, pp. 3801-3804.

Castaldi, F., Chabrillat, S., Chartin, C., Genot, V., Jones, A. R., van Wesemael, B. (2018): Estimation of soil organic carbon in arable soil in Belgium and Luxembourg with the LUCAS topsoil database. - European Journal of Soil Science, 69, 4, pp. 592-603. doi: 10.1111/ejss.12553

Castaldi, F., Chabrillat, S., Jones, A., Vreys, K., Bomans, B., van Wesemael, B. (2018): Soil Organic Carbon Estimation in Croplands by Hyperspectral Remote APEX Data Using the LUCAS Topsoil Database. - Remote Sensing, 10, 2, 153. doi: 10.3390/rs10020153

Danner, M., Wocher, M., Berger, K., Mauser, W., Hank, T., (2018): Developing a Sandbox Environment for Prosail, Suitable for Education and Research. IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain, pp. 783-786.

Dekker, A.; Pinnel, N.; Gege, P.; Briottet, X.; Court, A.; Peters, St.; Turpie, K.; Sterckx, S.; Costa, M.; Giardino, C.; Brando, V.; Braga, F.; Bergeron, M.; Heege, T.; Pflug, B. (2018): Feasibility Study of an Aquatic Ecosystem Earth Observing System. CSIRO, Canberra, Australia.

Fruth, T´.; Lenzen, Ch.; Gross, E.e ; Mrowka, F. (2018): The EnMAP Mission Planning System. In: 15th International Conference on Space Operations. SpaceOps 2018 - 15th International Conference on Space Operations, 28 May - 01 June 2018, Marseille, France. doi: 10.2514/6.2018-2525

Giardino, C., Brando, V. E., Gege, P., Pinnel, N., Hochberg, E., Knaeps, E., Reusen, I., Doerffer, R., Bresciani, M., Braga, F., Foerster, S., Champollion, N., Dekker, A. (2018): Imaging Spectrometry of Inland and Coastal Waters: State of the Art, Achievements and Perspectives. Surveys in Geophysics, 1-29. doi: 10.1007/s10712-018-9476-0

Guanter, L., Brell, M., Chan, J. C., Giardino, C., Gomez-Dans, J., Mielke, C., Morsdorf, F., Segl, K., Yokoya, N. (2018): Synergies of Spaceborne Imaging Spectroscopy with Other Remote Sensing Approaches. Surveys in Geophysics, 1-31. doi: 10.1007/s10712-018-9485-z

Göritz, A.; Berger, St.; Gege, P.; Grossart, H.-P.; Nejstgaard, J.; Riedel, S.; Röttgers, R.; Utschig, Ch. (2018): Retrieval of Water Constituents from Hyperspectral In-Situ Measurements under Variable Cloud Cover - A Case Study at Lake Stechlin (Germany). Remote Sensing, 10 (2), Seiten 181-199. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs10020181 ISSN 2072-4292

Hank, T., Berger, K., Bach, H., Clevers, J., Gitelson, A., Zarco-Tejada, P. & Mauser, W. (2018): Spaceborne Imaging Spectroscopy for Sustainable Agriculture: Contributions & Challenges. Surveys in Geophysics, 1-37. doi: 10.1007/s10712-018-9492-0

Langheinrich, M.; Richter, R.; de los Reyes, R.; Palubinskas, G.; Storch, T. (2018): Smile Correction in the EnMAP Ground Segment Processor: a qualitative Analysis. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Seiten 257-261. ISPRS TC I Mid-term Symposium 2018, 10.-12. Okt. 2018, Karlsruhe, Germany. doi: 10.5194/isprs-archives-XLII-1-257-2018

Leitão, P. J., Schwieder, M., Pedroni, F., Sanchez, M., Pinto, J. R. R., Maracahipes, L., Bustamante, M., & Hostert, P. (2018): Mapping woody plant community turnover with space-borne hyperspectral data – a case study in the Cerrado. Remote Sensing in Ecology and Conservation, 0(0). doi: 10.1002/rse2.91

Leitão, P. J., Schwieder, M., Pötzschner, F., Pinto, J. R. R., Teixeira, A. M. C., Pedroni, F., Sanchez, M., Rogass, C., Linden, S., Bustamante, M. M. C., & Hostert, P. (2018): From sample to pixel: multi-scale remote sensing data for upscaling aboveground carbon data in heterogeneous landscapes. Ecosphere. doi: 10.1002/ecs2.2298

Okujeni, A., Canters, F., Cooper, S. D., Degerickx, J., Heiden, U., Hostert, P., Priem, F., Roberts, D. A., Somers, B., & van der Linden, S. (2018): Generalizing machine learning regression models using multi-site spectral libraries for mapping vegetation-impervious-soil fractions across multiple cities. Remote Sensing of Environment, 216, 482-496. doi: 10.1016/j.rse.2018.07.011

Reichmuth, A.; Henning, L.; Pinnel, N.; Bachmann, M.; Rogge, D. (2018): Early Detection of Vitality Changes of Multi-Temporal Norway Spruce Laboratory Needle Measurements - The Ring-Barking Experiment. Remote Sensing, 10 (1), Seiten 1-19. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs10010057 ISSN 2072-4292

Schwieder, M., Leitão, P. J., Pinto, J. R. R., Teixeira, A. M. C., Pedroni, F., Sanchez, M., Bustamante, M. M., & Hostert, P. (2018): Landsat phenological metrics and their relation to aboveground carbon in the Brazilian Savanna. Carbon Balance and Management, 13(1), 7. doi: 10.1186/s13021-018-0097-1

Shi, Y.; Skidmore, A.; Wang, T.; Holzwarth, St.; Heiden, U.; Small, C., Okujeni, A., van der Linden, S., Waske, B. (2018): Remote Sensing of Urban Environments. Elsevier, Comprehensive Remote Sensing, Volume 6, 96-127.

Thompson, D. R., Guanter, L., Berk, A., Gao, B., Richter, R., Schläpfer, D., Thome, K. J. (2018): Retrieval of Atmospheric Parameters and Surface Reflectance from Visible and Shortwave Infrared Imaging Spectroscopy Data. Surveys in Geophysics, 1-28. doi: 10.1007/s10712-018-9488-9

Wocher, M., Berger, K., Danner, M., Mauser, W., Hank, T., (2018): Hyperspectral Retrieval of Canopy Water Content Through Inversion of the Beer-Lambert Law. IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain, pp. 3805-3808.

Wocher, M., Berger, K., Danner, M., Mauser, W., Hank, T., (2018): Physically-Based Retrieval of Canopy Equivalent Water Thickness Using Hyperspectral Data. Remote Sensing. 10, 1924.

van der Linden, S., Okujeni, A., Canters, F., Degerickx, J., Heiden, U., Hostert, P., Priem, F., Somers, B., & Thiel, F. (2018): Imaging Spectroscopy of Urban Environments. Surveys in Geophysics, 1–18. doi: 10.1007/s10712-018-9486-y

2017

Bachmann, M.; Schneider, M.; Palubinskas, G.; Habermeyer, M.; Storch, T. (2017): New Developments for the Operational Data Quality Control within the EnMAP Ground Segment. 10th EARSeL SIG Imaging Spectroscopy Workshop, 19.-21. April 2017, Zürich, Schweiz.

Baumgartner, A.; Schwarzmaier, T. (2017): Traceable Radiometric Calibration of the German Imaging Spectrometer Satellite Mission EnMAP. CALCON Technical Meeting, 22.-25. Aug. 2017, Logan, USA

Brell, M., Segl, K., Guanter, L., Bookhagen, B. (2017): Hyperspectral and Lidar Intensity Data Fusion: A Framework for the Rigorous Correction of Illumination, Anisotropic Effects, and Cross Calibration. IEEE Transactions on Geoscience and Remote Sensing, 55, 5, pp. 2799-2810.

Danner, M., Berger, K., Hank, T., Wocher, M., Mauser, W. (2017): Retrieval of biophysical crop variables from multi-angular canopy spectroscopy. MDPI Remote Sensing 2017, 9(7), 726.

Degerickx, J., Okujeni, A., Iordache, M.-D., Hermy, M., van der Linden, S., & Somers, B. (2017): A Novel Spectral Library Pruning Technique for Spectral Unmixing of Urban Land Cover. Remote Sensing, 9(6), 565. doi: 10.3390/rs9060565

Feilhauer, H., Somers, B., & van der Linden, S. (2017): Optical trait indicators for remote sensing of plant species composition: Predictive power and seasonal variability. Ecological Indicators, 73, 825-833. doi: 10.1016/j.ecolind.2016.11.003

Fischer, P.; Bieniarz, J.; Schwind, P.; Storch, T. (2017): Simulation of EnMAP data using AVIRIS data. 10th EARSel SIG Imaging Spectroscopy Workshop, 19 - 21 April 2017, Zurich, Switzerland.

Heiden, U.; Keim, St.; Schrader, St.; Foerster, S.; Kuester, T.; Elger, K.; Rossner, G. (2017): EnMAP Campaign Portal – Flight campaigns of the “EnMAP Data Exploitation and Application Development Program”.

Kahle, R.h ; Spiridonova, S.; Kirschner, M. (2017): Improved Reference Orbits for the Repeat-Ground-Track Missions EnMAP and Tandem-L. Proceedings of the 26th International Symposium on Space Flight Dynamics. 26th International Symposium on Space Flight Dynamics, 3.-9. Jun. 2017, Matsuyama, Ehime, Japan.

Köhler, C. H.; Baumgartner, A.; Brachmann, J. (2017): EnMAP related Cal/Val Activities of the User Service OpAiRS. ICARE 2017, 10.-13. Jul. 2017, Oberpfaffenhofen, Deutschland.

Köhler, C.H. (2017): Vorbereitung, Validierung und Ergänzung der EnMAP Mission durch den Nutzerservice OpAiRS. Möglichkeiten und Herausforderungen im Kontext aktueller und zukünftiger Erdbeobachtungsdaten, 9-10 Mar 2017, Leipzig, Germany.

Leitão, P., Schwieder, M., & Senf, C. (2017): sgdm: An R Package for Performing Sparse Generalized Dissimilarity Modelling with Tools for gdm. ISPRS International Journal of Geo-Information, 6(1), 23.

Marcinkowska-Ochtyra, A., Zagajewski, B., Ochtyra, A., Jarocińska, A., Wojtuń, B., Rogaß, C., Mielke, C., Lavender, S. (2017): Subalpine and alpine vegetation classification based on hyperspectral APEX and simulated EnMAP images. - International Journal of Remote Sensing, 38, 7, pp. 1839-1864. doi: 10.1080/01431161.2016.1274447

Milewski, R., Chabrillat, S., Behling, R. (2017): Analyses of Recent Sediment Surface Dynamic of a Namibian Kalahari Salt Pan Based on Multitemporal Landsat and Hyperspectral Hyperion Data. Remote Sensing, 9, 2, 170.

Okujeni, A., van der Linden, S., Suess, S., & Hostert, P. (2017): Ensemble Learning From Synthetically Mixed Training Data for Quantifying Urban Land Cover With Support Vector Regression. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(4), 1640-1650. doi:10.1109/JSTARS.2016.2634859

Palubinskas, G.; Bachmann, M.; Carmona, E.; Gerasch, B.; Krawczyk, H.; Makarau, A.; Schneider, M.s ; Schwind, P. (2017): Image Products from a new German Hyperspectral Mission EnMAP. Proceedings of IGTF 2017, Seiten 1-12. ASPRS. IGTF 2017, 12.-17. März 2017, Baltimore, USA.

Pettorelli, N., Schulte to Bühne, H., Tulloch, A., Dubois, G., Macinnis-Ng, C., Queirós, A. M., Keith, D. A., Wegmann, M., Schrodt, F., Stellmes, M., Sonnenschein, R., Geller, G. N., Roy, S., Somers, B., Murray, N., Bland, L., Geijzendorffer, I., Kerr, J. T., Broszeit, S., Leitão, P. J., Duncan, C., El Serafy, G., He, K. S., Blanchard, J. L., Lucas, R., Mairota, P., Webb, T. J., & Nicholson, E. (2017): Satellite remote sensing of ecosystem functions: opportunities, challenges and way forward. Remote Sensing in Ecology and Conservation. doi: 10.1002/rse2.59

Pinnel, N.; Fetik, Y.; Holzwarth, St.; Heiden, U.; Carolin, S.; Heurich, M.(2017): Tree Species Classification in the Bavarian Forest National Park using Hyperspectral Remote Sensing and Site Specific Information. 10th EARSeL SIG Imaging Spectroscopy Workshop, 19.-21.April 2017, Zürich, Schweiz.

Rogaß, C., Körting, F., Mielke, C., Brell, M., Bösche, N., Bade, M., Hohmann, C. (2017): Translational Imaging Spectroscopy for Proximal Sensing. Sensors, 17, 8, 1857.

Rosentreter, J., Hagensieker, R., Okujeni, A., Roscher, R., Wagner, P. D., & Waske, B. (2017): Subpixel Mapping of Urban Areas Using EnMAP Data and Multioutput Support Vector Regression. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, PP(99), 1-11. doi: 10.1109/JSTARS.2017.2652726

Scheffler, D., Hollstein, A., Diedrich, H., Segl, K., Hostert, P. (2017): AROSICS: An Automated and Robust Open-Source Image Co-Registration Software for Multi-Sensor Satellite Data. Remote Sensing, 9, 7, 676.

Storch, T.; Heiden, U.; Asamer, H.; Dietrich, D.; Fruth, T.; Schwind, P.; Ohndorf, A.; Palubinskas, G.; Habermeyer, M.; Fischer, S.n ; Chlebek, C. (2017): EnMAP - From Earth Observation Request, Planning, and Processing To Image Product Delivery. EARSeL SIG IS, 19 - 21 April 2017, Zürich, Schweiz.

Storch, T.; Müller, R. (2017): Processing Chains for DESIS and EnMAP Imaging Spectroscopy Data: Similarities and Differences. ISPRS Archives. ISPRS SPEC3D 2017, 25.-27. Okt. 2017, Jyväskylä, Finnland. doi: 10.5194/isprs-archives-XLII-3-W3-177-2017

Udelhoven, T., Schlerf, M., Segl, K., Mallick, K., Bossung, C., Retzlaff, R., Rock, G., Fischer, P., Müller, A., Storch, T., Eisele, A., Weise, D., Hupfer, W., Knigge, T. (2017): A Satellite-Based Imaging Instrumentation Concept for Hyperspectral Thermal Remote Sensing. - Sensors, 17, 7, 1542. doi: 10.3390/s17071542

Xi, H., Hieronymi, M., Krasemann, H. , Röttgers, R.(2017): Phytoplankton group identification using simulated and In situ hyperspectral remote sensing reflectance Frontiers in Marine Science, 4 (272). doi: 10.3389/fmars.2017.00272

2016

Bachmann, M., Schneider, M., Habermeyer, M., Palubinskas, G., Bieniarz, J., Gerasch, B., Witt, H., Krawczyk, H., Guanter, L., Hollstein, A., Segl, K. (2016): DataQC / Cal / Val / Mon procedures within the EnMAP Ground Segment. 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IGARSS 2016, 10.-15. Jul. 2016, Beijing, China.

Bachmann, M.; Kerr, G. (2016): Uncertainty Estimation for Spaceborne IS Data Products and the relevance to the DESIS and EnMAP Mission. Proceedings of IGARSS 2016. IGARSS 2016, Beijing, China.

Boesche, N. K., Rogass, C., Christian, M., Lubitz, C., Brell, M., Herrmann, S., Körting, F., Papenfuß, A., Tonn, S., Altenberger, U., et al. (2016): Rare earth element detection from near-field to space - samarium detection using the REEMAP algorithm. 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 5414–5417.

Brell, M., Rogass, C., Segl, K., Guanter, L., Bookhagen, B. (2016): Improving Sensor Fusion: A Parametric Method for the Geometric Coalignment of Airborne Hyperspectral and Lidar Data. IEEE Transactions on Geoscience and Remote Sensing. 54, p. 3460-3474.

Bösche, N. (2016): Detection of Rare Earth Elements and Rare Earth Oxides with Hyperspectral Spectroscopy - Near-field and Spaceborne Investigations in Preparation of the EnMAP Mission, PhD Thesis, Potsdam : Universität Potsdam, 147 p.

Danner, M., Hank, T., Mauser, W. (2016): Comparing the Potential of the Sentinel-2 MSI and the future EnMAP HSI for the Retrieval of Winter Wheat Crop Parameters in Southern Germany. ESA Living Planet Symposium 9-13 May 2016, Prague (Czech Republic).LINK: http://adsabs.harvard.edu/abs/2016ESASP.740E..93D

Guanter, L., Kaufmann, H., Förster, S., Brosinsky, A., Wulf, H., Bochow, M., Boesche, N., Brell, M., Buddenbaum, H., Chabrillat, S., Hank, T., Heiden, U., Heim, B., Heldens, W., Hill, J., Hollstein, A., Hostert, P., Krasemann, H., Leitão, P. J., van der Linden, S., Mauser, W., Mielke, C., Müller, A., Oppelt, N., Roessner, S., Röttgers, R., Schneiderhan, T., Staenz, K., Segl, K. (2016): EnMAP Science Plan, (EnMAP Technical Report). Potsdam : GFZ Data Services, 69 p. doi: 10.2312/enmap.2016.006

Guanter, L., Segl, K., Foerster, S., Hollstein, A., Rossner, G., Chlebek, C., Storch, T., Heiden, U., Mueller, A., Mueller, R., Sang, B. (2016): Overview of the EnMAP Imaging Spectroscopy Mission. IGARSS 2016, 10.-15. Juli 2016, Beijing, China.

Kaufmann, H., Sang, B., Storch, T., Segl, K., Förster, S., Guanter, L., Erhard, M., Heider, B., Hofer, S., Honold, H.-P., Penné, B., Bachmann, M., Habermeyer, M., Müller, A., Müller, R., Rast, M., Staenz, K., Straif, C., Chlebek, C. (2016): Environmental Mapping and Analysis Program – A German Hyperspectral Mission. - In: Qian, S.-E. (Ed.), Optical Payloads for Space Missions, Chichester : Wiley, p. 161-182.

Mielke, C. (2016): Multi- and Hyperspectral Spaceborne Remote Sensing for Mine Waste and Mineral Deposit Characterization, new Applications to the EnMAP and Sentinel-2 Missions, PhD Thesis, Potsdam : Universität Potsdam, 140 p.

Mielke, C., Muedi, T., Papenfuß, A., Bösche, N., Rogaß, C., Gauert, C., Altenberger, U., de Wit, M. (2016): Multi- and hyperspectral spaceborne remote sensing of the Aggeneys base metal sulphide mineral deposit sites in the Lower Orange River region, South Africa. - South African Journal of Geology, 119, 1, p. 63-76.

Mielke, C., Rogass, C., Boesche, N., Segl, K., Altenberger, U. (2016): EnGeoMAP 2.0 — Automated Hyperspectral Mineral Identification for the German EnMAP Space Mission. Remote Sens. 2016, 8(2), 127; doi: 10.3390/rs8020127.

Mielke, C., Rogaß, C., Bösche, N., Segl, K., Altenberger, U. (2016): EnGeoMAP 2.0—Automated Hyperspectral Mineral Identification for the German EnMAP Space Mission. - Remote Sensing, 8, 2, p. 127.

Schmid, T., Rodrίguez-Rastrero, M., Escribano, P., Palacios-Orueta, A., Ben-Dor, E., Plaza, A., Milewski, R., Huesca, M., Bracken, A., Cicuéndez, V., Pelayo, M., Chabrillat, S. (2016): Characterization of soil erosion indicators using hyperspectral data from a Mediterranean rainfed cultivated region. - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9, 2, p. 845-860.

Schwieder, M., Leitão, P. J., da Cunha Bustamante, M. M., Ferreira, L. G., Rabe, A., & Hostert, P. (2016): Mapping Brazilian savanna vegetation gradients with Landsat time series. International Journal of Applied Earth Observation and Geoinformation, 52, 361-370. doi: https://doi.org/10.1016/j.jag.2016.06.019

Steinberg A, Chabrillat S, Stevens A, Segl K, Foerster S. (2016): Prediction of Common Surface Soil Properties Based on Vis-NIR Airborne and Simulated EnMAP Imaging Spectroscopy Data: Prediction Accuracy and Influence of Spatial Resolution. Remote Sensing, 8, p. 613.

Yokoya, N., Chan, J., Segl, K. (2016): Potential of Resolution-Enhanced Hyperspectral Data for Mineral Mapping Using Simulated EnMAP and Sentinel-2 Images. Remote Sens. 2016, 8(3), 172; doi: 10.3390/rs8030172.

Yokoya, N., Cheung-Wai Chan, J., Segl, K. (2016): Potential of Resolution-Enhanced Hyperspectral Data for Mineral Mapping Using Simulated EnMAP and Sentinel-2 Images. - Remote Sensing, 8, 3, p. 172.

2015

Bachmann, M., Makarau, A., Segl, K., Richter, R. (2015): Estimating the Influence of Spectral and Radiometric Calibration Uncertainties on EnMAP Data Products-Examples for Ground Reflectance Retrieval and Vegetation Indices. Remote Sens. 2015, 7(8), 10689-10714; doi: 10.3390/rs70810689.

Buddenbaum, H., Hientgen, J., Dotzler, S., Werner, W., Hill, J. (2015): A BiomeBGC-based Evaluation of Dryness Stress of Central European Forests. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W3, 345-351

Buddenbaum, H., Hill, J. (2015): PROSPECT Inversions of Leaf Laboratory Imaging Spectroscopy - a Comparison of Spectral Range and Inversion Technique Influences. Photogrammetrie - Fernerkundung - Geoinformation, 2015, 231-240

Buddenbaum, H., Rock, G., Hill, J., Werner, W. (2015): Measuring Stress Reactions of Beech Seedlings with PRI, Fluorescence, Temperatures and Emissivity from VNIR and Thermal Field Imaging Spectroscopy. European Journal of Remote Sensing, 48, 263-282

Buddenbaum, H., Stern, O., Paschmionka, B., Hass, E., Gattung, T., Stoffels, J., Hill, J., Werner, W. (2015): Using VNIR and SWIR Field Imaging Spectroscopy for Drought Stress Monitoring of Beech Seedlings. International Journal of Remote Sensing, 36, 4590-4605

Bösche, N.; Rogass, C.; Lubitz, C.; Brell, M.; Herrmann, S.; Mielke, C.; Tonn, S.; Appelt, O.; Altenberger, U.; Kaufmann, H. (2015): Hyperspectral REE (Rare Earth Element) Mapping of Outcrops-Applications for Neodymium Detection. Remote Sensing 2015, 7(5), 5160-5186.

Cerra, D., Bieniarz, J., Müller, R., Storch, T., Reinartz, P. (2015): Restoration of Simulated EnMAP Data through Sparse Spectral Unmixing. Remote Sens. 2015, 7(10), 13190-13207; doi: 10.3390/rs71013190.

Clasen, A., Somers, B., Pipkins, K., Tits, L., Segl, K., Brell, M., Kleinschmit, B., Spengler, D., Lausch, A., Förster, M. (2015): Spectral Unmixing of Forest Crown Components at Close Range, Airborne and Simulated Sentinel-2 and EnMAP Spectral Imaging Scale. Remote Sens. 2015, 7(11), 15361-15387; doi: 10.3390/rs71115361.

Danner, M., Locherer, M., Hank, T., Mauser, W. (2015): Analyzing Uncertainties in simulated Canopy Reflectance through exhaustive Comparison with in-situ measured Optical Properties. International Geoscience and Remote Sensing Symposium (IGARSS), 26.-31.7. 2015 Milano, Italy. IEEE Explore, pp. 4009-4012. LINK: https://ieeexplore.ieee.org/document/7326704/

Dotzler, S., Hill, J., Buddenbaum, H., Stoffels, J. (2015): The Potential of EnMAP and Sentinel-2 Data for Detecting Drought Stress Phenomena in Deciduous Forest Communities. Remote Sens. 2015, 7(10), 14227-14258; doi: 10.3390/rs71014227.

Dotzler, S., Hill, J., Buddenbaum, H., Stoffels, J. (2015): The potential of EnMAP and Sentinel-2 data for detecting drought stress phenomena in deciduous forest communities. Remote Sensing, 7 (10), 14227-14258

Guanter, L., Kaufmann, H., Segl, K., Foerster, S., Rogass, C., Chabrillat, S., Kuester, T., Hollstein, A., Rossner, G., Chlebek, C., Straif, C., Fischer, S., Schrader, S., Storch, T., Heiden, U., Mueller, A., Bachmann, M., Mühle, H., Müller, R., Habermeyer, M., Ohndorf, A., Hill, J., Buddenbaum, H., Hostert, P., van der Linden, S., Leitão, P., Rabe, A., Doerffer, R., Krasemann, H., Xi, H., Mauser, W., Hank, T., Locherer, M., Rast, M., Staenz, K., Sang, B. (2015): The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation. Remote Sens. 2015, 7(7), 8830-8857; doi: 10.3390/rs70708830.

Guanter, L.; Kaufmann, H.; Segl, K.; Förster, S.;Rogass, C.; Chabrillat, S.; Küster, T.; Hollstein, A.; Rossner, G.; Chlebek, C.; Straif, C.; Fischer, S.; Schrader, S.; Storch, T.; Heiden, U.; Müller, A.; Bachmann, M.; Mühle, H.; Müller, R.; Habermeyer, M.; Ohndorf, A.; Hill, J.; Buddenbaum, H.; Hostert, P.; van der Linden, S.; Leitao, P.J.; Rabe, A.; Doerffer, R.; Krasemann, H.; Xi, H.; Mauser, W.; Hank, T.; Locherer, M.; Rast, M.; Staenz, K.; Sang, B. (2015): The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation. Remote Sensing 7(7), 8830-8857.

Leitão, P., Schwieder, M., Suess, S., Okujeni, A., Galvão, L., Linden, S., Hostert, P. (2015): Monitoring Natural Ecosystem and Ecological Gradients: Perspectives with EnMAP. Remote Sens. 2015, 7(10), 13098-13119; doi: 10.3390/rs71013098.

Locherer, M., Hank, T., Danner, M., Mauser, W. (2015): Retrieval of Seasonal Leaf Area Index from Simulated EnMAP Data through Optimized LUT-Based Inversion of the PROSAIL Model. Remote Sens. 2015, 7(8), 10321-10346; doi: 10.3390/rs70810321.

Locherer, M., Hank, T., Danner, M., Mauser, W. (2015): Systematic Analysis of the LUT-based Inversion of Prosail using full range Hyperspectral Data for the Retrieval of Leaf Area Index in View of the future EnMAP Mission. International Geoscience and Remote Sensing Symposium (IGARSS), 26.-31.7. 2015 Milano, Italy, IEEE Explore, pp. 4013-4016.LINK: https://ieeexplore.ieee.org/document/7326705/

Malec, S., Rogge, D., Heiden, U., Sanchez-Azofeifa, A., Bachmann, M., Wegmann, M. (2015): Capability of Spaceborne Hyperspectral EnMAP Mission for Mapping Fractional Cover for Soil Erosion Modeling. Remote Sens. 2015, 7(9), 11776-11800; doi: 10.3390/rs70911776.

Mauser, W., Hank, T. Bach, H. (2015): Earth Observation for food security and sustainable agriculture. In JAXA (Edt.). Applications of Satellite Earth Observations: Serving society, science,, industry. Full Report. 2015 Edition, Committee On Earth Observation Satellites, book article, pp. 169-174, Japan Aerospace Exploration Agency.

Mielke, C.; Bösche, N.; Rogaß, C.; Kaufmann, H.; Gauert, C. (2015): New geometric hull continuum removal algorithm for automatic absorption band detection from spectroscopic data. Remote Sensing Letters, 6(2), 97-105.

Nink, S., Hill, J., Buddenbaum, H., Stoffels, J., Sachtleber, T., Langshausen, J. (2015): Assessing the suitability of future multi- and hyperspectral satellite systems for mapping the spatial distribution of Norway spruce timber volume. Remote Sensing, 7, 12009-12040

Okujeni, A.; van der Linden, S.; Hostert, P. (2015): Extending the vegetation–impervious–soil model using simulated EnMAP data and machine learning. Remote Sensing of Environment, 158, 69-80.

Segl, K.; Guanter, L.; Gascon, F.; Kuester, T.; Rogass, C.; Mielke, C. (2015): S2eteS - an end-to-end modelling tool for the simulation of Sentinel-2 image products. IEEE Transactions on Geoscience and Remote Sensing, 53, 5560-5571.

Siegmann, B., Jarmer, T., Beyer, F., Ehlers, M. (2015): The Potential of Pan-Sharpened EnMAP Data for the Assessment of Wheat LAI. Remote Sens. 2015, 7(10), 12737-12762; doi: 10.3390/rs71012737.

Stoffels, J., Hill, J., Sachtleber, T., Mader, S., Buddenbaum, H., Stern, O., Langshausen, J., Dietz, J., Ontrup, G. (2015): Satellite-Based Derivation of High-Resolution Forest Information Layers for Operational Forest Management. Forests, 6, 1982-2013

Suess, S., van der Linden, S., Okujeni, A., Leitão, P., Schwieder, M., Hostert, P. (2015): Using Class Probabilities to Map Gradual Transitions in Shrub Vegetation from Simulated EnMAP Data. Remote Sens. 2015, 7(8), 10668-10688; doi: 10.3390/rs70810668.

Xi, H., Hieronymi, M., Röttgers, R., Krasemann, H., Qiu, Z. (2015): Hyperspectral Differentiation of Phytoplankton Taxonomic Groups: A Comparison between Using Remote Sensing Reflectance and Absorption Spectra. Remote Sens. 2015, 7(11), 14781-14805; doi: 10.3390/rs71114781.

van der Linden, S., Rabe, A., Held, M., Jakimow, B., Leitão, P., Okujeni, A., Schwieder, M., Suess, S., Hostert, P. (2015): The EnMAP-Box — A Toolbox and Application Programming Interface for EnMAP Data Processing. Remote Sens. 2015, 7(9), 11249-11266; doi: 10.3390/rs70911249.

2014

Bochow, M.; Keuck, V.; Franke, J.; Siegert, F.; Laforsch, C. (2014): Contamination Of Aquatic Ecosystems With Plastic Debris: Global And Local Monitoring Using Remote Sensing Methods. Abstracts, Ocean Science Meeting, 2014, Honolulu, Hawaii.

Bösche, N.K.; Rogaß C.; Mielke C.; Kaufmann H. (2014): Hyperspectral digital image analysis and geochemical analysis of a rare earth elements mineralized intrusive complex (Fen carbonatite Complex in Telemark Region, Norway).Proceedings of 34th EARSeL Symposium

Chabrillat, S.; Foerster, S.; Steinberg, A.; Segl, K. (2014): Prediction of common surface soil properties using airborne and simulated EnMAP hyperspectral images: Impact of soil algorithm and sensor characteristic.Proceedings IGARSS 2014.

Chabrillat, S.; Milewski, R.; Schmid, T.; Rodriguez, M.; Escribano, P.; Pelayo, M.; Palacios-Orueta, A. (2014): Potential of hyperspectral imagery for the spatial assessment of soil erosion stages in agricultural semi-arid Spain at different scales.Proceedings IGARSS 2014 and 35th CSRS.

Fassnacht, F. E.; Neumann, C.; Förster, M.; Buddenbaum, H.; Ghosh, A.; Clasen, A.; Joshi; P. W.; Koch, B. (2014): Comparison of Feature Reduction Algorithms for Classifying Tree Species With Hyperspectral Data on Three Central European Test Sites. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS), 7(6), 2547-2561.

Foerster, S.; Wilczok, C.; Brosinsky, A.; Segl, K. (2014): Assessment of sediment connectivity from fractional vegetation cover and topography using remotely sensed data in a mesoscale dryland catchment in the Spanish Pyrenees. Journal of Soils and Sediments

Held, M.; Rabe, A.; Senf, C.; van der Linden, S.; Hostert, P. (2014): Analyzing Hyperspectral and Hypertemporal Data by Decoupling Feature Redundancy and Feature Relevance. Geoscience and Remote Sensing Letters, IEEE.

Kaufmann, H.; Segl, K.; Foerster, S.; Kuester, T.; Rogass, C.; Chabrillat, S.; Scheffler, D.; Mielke, C.; Boesche, N.; Hostert, P.; Sang, B.; Storch, T.; Chlebek, C.; Rossner, G. (2014): The Environmental Mapping and Analysis Program (EnMAP) – Current status and science activities. 5th EARSeL Land Use and Land Cover. Berlin, Germany

Küster, T.; Spengler, D.; Barczi, J.-F.; Segl, K.; Hostert, P.; Kaufmann, H. (2014): Simulation of Multitemporal and Hyperspectral Vegetation Canopy Bidirectional Reflectance Using Detailed Virtual 3-D Canopy Models. IEEE Transactions on Geoscience and Remote Sensing, 52(4), 2096-2108.

Mielke, C.; Bösche, N.; Rogaß, C.; Kaufmann, H.; Gauert, C.; de Wit, M. (2014): Spaceborne Mine Waste Mineralogy Monitoring in South Africa, Applications for Modern Push-Broom Missions: Hyperion/OLI and EnMAP/Sentinel-2. Remote Sensing, 6(8), 6790-6816.

Mielke, C.; Bösche, N.; Rogaß, C.; Segl, K.; Gauert, C.; Kaufmann, H. (2014): Potential applications of the Sentinel-2 multispectral sensor and the Enmap hyperspectral sensor in mineral exploration.EARSeL eProceedings, 13(2), 93-102.

Mielke, C.; Rogaß, C.; Bösche, N.; Kaufmann, H.; Guanter, L. (2014), Anwendung der Fernerkundung in der Exploration und im Haldenmonitoring im südlichen Afrika. System Erde, 4(2), 50-57.

Okujeni, A.; van der Linden, S.; Jakimow, B.; Rabe, A.; Verrelst, J.; Hostert, P. (2014): A Comparison of Advanced Regression Algorithms for Quantifying Urban Land Cover. Remote Sensing, 6, 6324-6346.

Pueschel, P.; Newnham, G.; Hill, J. (2014): Retrieval of Gap Fraction and Effective Plant Area Index from Phase-Shift Terrestrial Laser Scans. Remote Sensing, 6, 2601-2627.

Rogass, C.; Mielke, C.; Scheffler, D.; Boesche, N.K.; Lausch, A.; Lubitz, C.; Brell, M.; Spengler, D.; Eisele, A.; Segl, K.; Guanter, L. (2014): Reduction of Uncorrelated Striping Noise-Applications for Hyperspectral Pushbroom Acquisitions.Remote Sensing 6(11), 11082-11106.

Rogge, D.; Rivard, B.; Segl, K.; Grant, B.; Feng, J. (2014): Mapping of NiCu–PGE ore hosting ultramafic rocks using airborne and simulated EnMAP hyperspectral imagery, Nunavik, Canada. Remote Sensing of Environment, 152, 302-317.

Stern, O.; Paschmionka, B.; Stoffels, J.; Buddenbaum, H.; Hill, J. (2014): Abbildende und nicht abbildende Geländespektrometrie zur Untersuchung von Stressphänomenen an Buchenpflanzen. Photogrammetrie - Fernerkundung - Geoinformation, 2014 (1), 17-26.

Storch, T.; Bachmann, M.; Honold, H.-P.; Kaufmann, H.; Krawczyk, H.; Müller, R.; Sang, B.; Schneider, M.; Segl, K.; Chlebek, C. (2014): EnMAP Data Product Standards. Proceedings IGARSS 2014, IEEE, 2586-2589, 2014, Quebec City, Canada.

Suess, S.; van der Linden, S.; Leitão, P.J.; Okujeni, A.; Waske, B.; Hostert, P. (2014): Import Vector Machines for Quantitative Analysis of Hyperspectral Data. Geoscience and Remote Sensing Letters, IEEE, 11(2). 449-453.

2013

Bochow, M.; Lanners, T.; Heim, B.; Stoffels, J. (2013): Potential of imaging spectroscopy for mapping plastic litter in the marine environment - A laboratory experiment. Abstracts, 8th EARSeL SIG Imaging Spectroscopy Workshop, 2013, Nantes, France.

Buchhorn, M.; Petereit, R.; Heim, B. (2013): A Manual Transportable Instrument Platform for Ground-Based Spectro-Directional Observations (ManTIS) and the Resultant Hyperspectral Field Goniometer System. Sensors, 13, 16105-16128.

Buchhorn, M.; Walker, D.A.; Heim, B.; Raynolds, M.K.; Epstein, H.E.; Schwieder, M. (2013): Ground-Based Hyperspectral Characterization of Alaska Tundra Vegetation along Environmental Gradients. Remote Sens., 5, 3971-4005.

Buddenbaum, H.; Seeling, S.; Hill, J. (2013): Fusion of full waveform LiDAR and imaging spectroscopy remote sensing data for the characterization of forest stands. International Journal of Remote Sensing, 34 (13), 4511-4524.

Kaufmann, H.; Foerster, S.; Segl, K.; Kuester, T.; Rogass, C.; Hofer, S.; Mueller, A.; Heiden, U.; Chlebek, C.; Rossner, G. (2013): The Environmental Mapping and Analysis Program (EnMAP) – Present status and science activities. HyspIRI science workshop. Pasadena, USA.

Kaufmann, H.; Segl, K.; Küster, T.; Rogaß, C.; Förster, S.; Wulf, H.; Hofer, S.; Sang, B.; Storch, T.; Heiden, U.; Mueller, A.; Rossner, G.; Chlebek, C. (2013): The environmental mapping and analysis program (EnMAP) – Present status of preparatory phase Proceedings, IEEE International Geoscience and Remote Sensing Symposium – IGARSS, 2013, Melbourne, Australia.

Locherer, M., Hank, T., Mauser, W. (2013): Assessing The Potential Of The Future EnMAP Mission For The Multi-Seasonal Retrieval Of Biophysical Land Surface Parameters Using Multi-Sensoral Airborne Spectroscopy. ESA Living Planet Symposium 9.-13.9. 2013 Edinburgh (UK), Special Publication SP-722, ESA SP-722. 2-13, p.21.LINK: http://adsabs.harvard.edu/abs/2013ESASP.722E..21L

Mielke, C.; Bösche, N.; Rogaß, C.; Segl, K.; Kaufmann, H.; de Wit, M. (2013): Spectroscopy of geological materials and alteration zones, in comparison to Hyperion and simulated EnMAP data, in Rodalquilar Southern Spain Proceedings, 8th EARSeL SIG Imaging Spectroscopy Workshop, 2013, Nantes, France.

Okujeni, A.; van der Linden, S.; Cierpinski, M.; Hostert, P. (2013): A comparison of advanced regression algorithms for quantitative mapping of urban land-cover. 33. Wissenschaftlich-Technische Jahrestagung der DGPF. February 27 - March 1, Freiburg, Germany.

Okujeni, A.; van der Linden, S.; Cierpinski, M.; Hostert, P. (2013): Transferring support vector regression (SVR) models from airborne to EnMAP-like data from urban areas. 8th EARSeL Workshop of Special Interest Group in Imaging Spectroscopy. April 8-10, Nantes, France.

Okujeni, A.; van der Linden, S.; Tits, L.; Somers, B.; Hostert, P. (2013): Support vector regression and synthetically mixed training data for quantifying urban land cover. Remote Sensing of Environment, 137, 184-197.

Pueschel, P. (2013): The influence of scanner parameters on the extraction of tree metrics from FARO Photon 120 terrestrial laser scans.ISPRS Journal of Photogrammetry and Remote Sensing, 78, 58-68.

Pueschel, P.; Newnham, G.; Rock, G.; Udelhoven, T.; Werner, W.; Hill, J. (2013): The influence of scan mode and circle fitting on tree stem detection, stem diameter and volume extraction from terrestrial laser scans. ISPRS Journal of Photogrammetry and Remote Sensing, 77, 44-56.

Rogaß, C.; Brell, M.; Segl, K.; Küster, T.; Kaufmann, H. (2013): Automated Detection of Spatial Distortions of Hyperspectral Push-broom Sensors - Application to the EnMAP Mission Proceedings, The 2013 European Space Agency Living Planet Symposium, 2013, Edinburgh, UK.

Rogaß, C.; Brell, M.; Segl, K.; Küster, T.; Kaufmann, H. (2013): Automatic reduction of keystone – Applications to EnMAPProceedings, 8th EARSeL SIG Imaging Spectroscopy Workshop, 2013, Nantes, France

Rogaß, C.; Segl, K.; Küster, T.; Kaufmann, H. (2013): Performance of correlation approaches for the evaluation of spatial distortion reductions. Remote Sensing Letters, 4(12), 1214-1223.

Storch, T.; Bachmann, M.; Eberle, S; Habermeyer, M.; Makasy, C.; de Miguel, A.; Mühle, H.; Müller, R. (2013): EnMAP Ground Segment Design: An Overview and Its Hyperspectral Image Processing Chain. Earth Observation for Global Change, Earth Observation for Global Change, Lecture Notes in Geoinformation and Cartography, Springer, 49-62.

Storch, T.; Habermeyer, M.; Eberle, S.; Mühle, H.; Müller, R. (2013): Towards a critical design of an operational ground segment for an Earth observation mission. Journal of Applied Remote Sensing, 7, 1.

Udelhoven, T.; Delfosse, P.; Bossung, C.; Ronellenfitsch, F.; Mayer, F.; Schlerf, M.; Machwitz, M.; Hoffmann, L. (2013): Retrieving the Bioenergy Potential from Maize Crops Using Hyperspectral Remote Sensing, Remote Sensing, 5, 254-273.

Wilczok, C.; Brosinsky, A.; Foerster, S. (2013): Estimating vegetation cover fraction dynamics by linear spectral unmixing for soil erosion assessment. 8th EARSeL Workshop on Imaging Spectroscopy. 2013, Nantes, France.

Örek, H.; Doerffer, R.; Röttgers, R.; Boersma, M.; Wiltshire, K. H. (2013): Contribution to a bio-optical model for remote sensing of Lena River water. Biogeosciences, 10, 7081-7094; doi: 10.5194/bg-10-7081-2013

2012

Bochow, M.; Heim, B.; Küster, T.; Rogaß, C.; Bartsch, I.; Segl, K.; Kaufmann H. (2012): Automatic detection and delineation of surface water bodies in airborne hyperspectral data. In: Proceedings 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2012), August 22-27, Munich, Germany, pp. 5226-5229.

Bochow, M.; Heim, B.; Küster, T.; Rogaß, C.; Bartsch, I.; Segl, K.; Reigber, S.; Kaufmann, H. (2012): On the Use of Airborne Imaging Spectroscopy  Data for the Automatic Detection and Delineation of Surface Water Bodies. In: Remote Sensing of Planet Earth, Yann Chemin (Ed.), ISBN: 978-953-307-919-6, InTech

Buddenbaum, H.; Steffens, M. (2012): Mapping the distribution of chemical properties in soil profiles using laboratory imaging spectroscopy, SVM and PLS regression. EARSeL eProceedings, 11 (1): 25-32.

Buddenbaum, H.; Steffens, M. (2012): The effects of spectral pretreatments on chemometric analyses of soil profiles using laboratory imaging spectroscopy. Applied and Environmental Soil Science, Special Issue on Quantitative Soil Spectroscopy, 2012, 274903, 12 pages.

Buddenbaum, H.; Stern, O.; Stellmes, M.; Stoffels, J.; Pueschel, P.; Hill, J.; Werner, W: (2012): Field Imaging Spectroscopy of Beech Seedlings under Dryness Stress. Remote Sensing, 4 (12), 3721-3740.

Kuester, T.; Segl, K.; Spengler, D.; Kaufmann, H. (2012): Correction of BRDF-effects in vegetation indices using simulated Sentinel-2 data. Proc. Sentinel-2 Prep. Symp., April 23-27, ESA-ESRIN, Frascati (Rome), Italy.

Locherer, M., Hausamann, D., Schuttler, T. (2012): Practical science education in remote sensing at the DLR_School_Lab Oberpfaffenhofen. International Geoscience and Remote Sensing Symposium (IGARSS), 22.-27.7. 2012 Munich, Germany. IEEE Explore, pp. 7389-7392. LINK: https://ieeexplore.ieee.org/abstract/document/6351922/

Mauser, W., Bach, H., Hank, T., Zabel, F., Putzenlechner, B. (2012): How spectroscopy from space will support world agriculture. International Geoscience and Remote Sensing Symposium (IGARSS), 22.-27.7. 2012 in Munich, Germany. IEEE Explore, pp. 7321-7324. LINK: https://ieeexplore.ieee.org/document/6351970/

Mielke, C.; Fuchs, Y.; Rogaß, C.; Segl, K.; Pustlauck, F.; Blumenstein, O.; Kaufmann, H.; de Wit, M. (2012): The potential of spectroscopy to monitor mine waste and acid mine drainage in South Africa., Proc. 4th EARSeL Workshop on Remote Sensing and Geology, May 24-25, Mykonos, Greece, pp. 156-162.

Müller, R.; Bachmann, M.; Chlebek, C.; Krawczyk, H.; de Miguel, A.; Palubinskas, G.; Schneider, M.; Schwind, P.; Storch, T.; Mogulsky, V.; Sang, B. (2012): The EnMAP Hyperspectral Satellite Mission. An Overview and Selected Concepts. Proc. 3th Annual Hyperspectral Imaging Conference (HSI 2012), Istituto Nazionale di Geofisica e Vulcanologia (INGV), May 15-16, Rome, Italy, pp. 39-44.

Okujeni, A.; van der Linden, S.; Rabe, A.; Cierpinski, M.; Hostert, P. (2012): On the influence of spatial scale on the accuracy of support vector regression models from synthetically mixed spectral libraries. IEEE Geoscience and Remote Sensing Symposium (IGARSS). July 22-27, Munich, Germany.

Pueschel, P.; Buddenbaum, H.; Hill,  J. (2012): An efficient approach to standardizing the processing of hemispherical images for the estimation of forest structural attributes. Agricultural and Forest Meteorology, 160: 1-13.

Richter, K., Hank, T., Atzberger, C., Locherer, M. and Mauser, W. (2012): Regularization strategies for agricultural monitoring: The EnMAP vegetation analyzer (AVA). International Geoscience and Remote Sensing Symposium (IGARSS), 22.-27.7. 2012 in Munich, Germany. IEEE Explore, pp. 6613-6616. LINK: https://ieeexplore.ieee.org/document/6352083/

Richter, K.; Atzberger, C.; Hank, T.; Mauser, W. (2012): Derivation of biophysical variables from Earth Observation data: validation and statistical measures. Journal of Applied Remote Sensing, 6(1), 063557-1 - 063557-23.

Rogaß, C.; Spengler, D.; Bochow, M.; Segl, K.; Lausch, A.; Doktor, D.; Roessner, S.; Behling, R.; Wetzel, H.-U.; Urata, K.; Hueni, A.; Kaufmann, H. (2012): A Contribution to the Reduction of Radiometric Miscalibration of Pushbroom Sensors. In: Remote Sensing - Advanced Techniques and Platforms, Boris Escalante-Ramirez (Ed.), ISBN: 978-953-51-0652-4, InTech

Schneider, M.; Müller, R.; Krawczyk, H.; Bachmann, M.; Storch, T.; Mogulsky, V.; Sang, B. (2012): The Future Spaceborne Hyperspectral Imager EnMAP: Its In-Flight Radiometric and Geometric Calibration Concept. Proc. 22th Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS 2012), August 25-September 1, Melbourne, Australia, pp. 267-272.

Schwind, P.; Müller, R.; Palubinskas, G.; Storch, T. (2012): An in-depth simulation of EnMAP acquisition geometry. ISPRS Journal of Photogrammetry and Remote Sensing, 70: 99-106.

Segl, K.; Guanter, L.; Rogass, C.; Kuester, T.; Roessner, S.; Kaufmann, H.; Sang, B.; Mogulsky, V.; Hofer, S. (2012): EeteS—The EnMAP End-to-End Simulation Tool. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 5(2):522-530.

Segl, K.; Guanter, L.; Rogass, C;, Kuester, T.; Roessner, S.; Kaufmann, H.; Sang, B.; Mogulsky, V.; Hofer, S. (2012): EeteS - The EnMAP End-to-End Simulation Tool. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5(2): 522-530.

Storch, T.; Lenfert, K.; Schneider, M.; Mogulsky, V.; Bachmann, M.; Sang, B.; Müller, R.; Hofer, S.; Chlebek, C. (2012): Pre- and In-Flight Geometric Characterization and Calibration Concepts for the EnMAP Mission. Proc. 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2012), July 22-27, Munich, Germany, pp. 5021-5024.

Waske, B.; van der Linden, S.; Oldenburg, C.; Jakimow, B.; Rabe, A.; Hostert, P. (2012): imageRF - A user-oriented implementation for remote sensing image analysis with Random Forests. Environmental Modelling & Software, 35, 2.

2011

Buddenbaum, H.; Pueschel, P.; Stellmes, M.; Werner, W.; Hill, J. (2011): Measuring water and Chlorophyll content on the leaf and canopy scale. EARSeL eProceedings, 10 (1): 66-72.

Heldens, W.; Heiden, U.; Esch, T.; Stein, E.; Müller, A. (2011): Can the Future EnMAP Mission Contribute to Urban Applications? A Literature Survey. Remote Sensing, 3 (9), Seiten 1817-1846. doi: 10.3390/rs3091817 ISSN 2072-4292

Jakimow, B.; van der Linden, S.; Rabe, A.; Hostert, P. (2011): Support Vector Regression for the estimation of biophysical parameters and identification of relevant feature subsets. 7th EARSeL Workshop of Special Interest Group in Imaging Spectroscopy. April, 11-13, Edinburg, Scotland, UK.

Missling, K.-D.; Damerow, H.; Habermeyer, M.; Kaufmann, H.; Maass, H.; Mühle, H.; Müller, R.; Schwarz, J.; Storch, T.; Tegler, M.; Tian, T. (2011): Payload Ground Segment of the EnMAP Mission. In: Proceedings der 45. Ziolkovski- Konferenz, Seiten 23-29. Russische Akademie der Wissenschaften (Selbstverlag). 45. Ziolkovski- Konferenz, 14.-17.Sept. 2010, Kaluga, Russland. ISBN 978 5 94541 073 2.

Okujeni, A.; van der Linden, S.; Cierpinski, M.; Hostert, P. (2011): A non-linear approach to describe the spectral mixing space of urban areas. 7th EARSeL Workshop of Special Interest Group in Imaging Spectroscopy. April, 11-13, Edinburgh, Scotland, UK.

Rabe, A.; van der Linden, S.; Jakimow, B.; Hostert, P. (2011): Support Vector Machine basierte Klassifikation und Regression in der Geofernerkundung. DGPF-workshop "Neue Methoden für die Auswertung und Interpretation von Fernerkundungsdaten", DGPF Arbeitskreis "Auswertung von Fernerkundungsdaten". October 26, Halle, Germany.

Rabe, A.; van der Linden, S.; Leitão, P.J.; Hostert, P. (2011): The EnMAP-Box. 7th EARSeL SIG Imaging Spectroscopy workshop. April, 11-13, Edinburgh, Scotland, UK.

Richter, R., Schläpfer, D., Müller, A., (2011): Operational Atmospheric Correction for Imaging Spectrometers Accounting for the Smile Effect. IEEE Transactions on Geoscience and Remote Sensing, 49(5), 1772-1780.

Roessner, S., Segl, K., Bochow, M., Heiden, U, Heldens, W., and Kaufmann, H. (2011): Potential of hyperspectral remote sensing for analyzing the urban environment. In: Urban Remote Sensing: Monitoring, Synthesis and Modeling in the Urban Environment. Wiley Oxford, ISBN: 978-0-470-74958-6, 408, pp. 49-62, 2011.

Rogaß, C., Spengler, D., Bochow, M., Segl, K., Lausch, A., Doktor, D., Roessner, S., Behling, R., Wetzel, H.-U., Kaufmann, H., (2011): Reduction of Radiometric Miscalibration—Applications to Pushbroom Sensors. Sensors, 11, 6370-6395.

Storch, T.; Bachmann, M.; Eberle, S; Habermeyer, M.; Makasy, C.; de Miguel, A.; Mühle, H.; Müller, R. (2011): EnMAP Ground Segment Design: An Overview and Its Hyperspectral Image Processing Chain. Proc. Earth Observation for Global Change 2011 (EOGC 2011), April  13-15, Munich, Germany.

2010

Axmann, R.; Eberle, S. (2010): Missionplanning and Operational Constraints and their Resolution for EO Missions like EnMAP. Proceedings of the SpaceOps 2010 Conference (Huntsville, AL, USA, 2010-04-25 to 2010-04-30)

Bachmann, M.; Habermeyer, M.; Müller, A.; Müller, R.; Schneider, M.; Storch, T. (2010): Operational Quality Control for Hyperspectral Data. Proceedings of the hyperspectral Workshop 2010 (Frascati, Italy, 2010-02-17 to 2010-02-19)

Bachmann, M.; Makasy, C.; de Miguel, A.; Müller, A.; Müller,R.; Neumann,A.; Palubinskas, G.; Richter, R.; Schneider, M.; Storch,T.; Walzel,T.; Kaufmann, H.; Guanter, L.; Segl, K.; Heege,T.; Kiselev, V. (2010): Processing Chain, Calibration and Data Quality Procedures of the Future Hypersepctral Satellite Mission EnMAP. Proceedings of the HyspIRI Workshop (Pasadena, CA, USA, 2010-08-24 to 2010-08-26)

Bargen, A.; Bachmann, M.; Chlebek, C.; Guanter, L.; Hofer, S.; Kaufmann, H.; Mogulsky, V.; Müller,R.; Neumann, A.; Rossner, G.; Sang, B.; Segl, K.; Storch, T.; Walzel, T (2010): The EnMAP Mission: The Basic Sequence from Measurement to Product Including Quality Indication and Validation. Proceedings of the 2010 ESA Living Planet Symposium (Bergen, Norway, 2010-06-28 to 2010-07-02)

Damerow, H.; Richter, J.; Schwarz, J.; Maass, H. (2010): Integrated Real-Time Processing of X-band Telemetry. Proceedings of the European Telemetry Conference 2010 (Hamburg, Germany, 2010-05-18 to 2010-05-19)

Habermeyer, M.; Storch, T.; Eberle, S.; Makasy, C.; Maslin, S.; de Miguel, A.; Mißling, K.-D.; Mühle, H.; Müller, R.; Engelbrecht, S.; Gredel, J.; Heiden, U. (2010): Ground Segment Design of the EnMAP Hyperspectral Satellite Mission. Proceedings of the Hyperspectral Workshop 2010 (Fascati, Italy, 2010-02-17 to 2010-02-19)

Hank, T.; Richter, K.; Frank, T.; Friese, M.; Bach, H.; Locherer, M.; Mauser, W. (2010): Potential of the upcoming German EnMAP hyperspectral mission for the assimilation of agricultural remote sensing products into biophysical land surface models. Abstract AGU Fall Meeting, December 2010, Moscone Convention Center, San Francisco (USA).

Heiden, U.; Gredel, J.; Pinnel, N.; Mühle, H.; Pengler, I.; Reissig, K.; Dietrich, D.; Heinen, T.; Storch, T.; Eberle, S.; Kaufmann H. (2010): he User Interface of the EnMAP Satellite Mission. Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium - IGARSS 2010 (Honolulu, HI, USA, 2010-07-25 to 2010-07-30)

Kaufmann, H., Guanter, L., Segl, K., Foerster, S., Hofer, S., Sang, B., Stuffler, T., Mueller, A., Hill, J., Mauser, W., Hostert, P., Doerffer, R., Bach, H., Rossner, G., and Chlebek, C. (2010): EnMAP hyperspectral mission - Science issues. Hyperspectral Workshop, Frascati, Italy, online, 2010.

Kaufmann, H.; Segl, K.; Itzerott, S.; Bach, H.; Wagner, A.; Hill, J.; Oppermann, B.; Heldens, W.; Stein, E.; Müller, A.; van der Linden, S.; Leitao, P.J.; Rabe, A.; Hostert, P. (2010): Hyperspectral Algorithms: Report in the frame of EnMAP preparation activities. Scientific Technical Report; 10/08. doi: 10.2312/GFZ.b103-10089

Müller, R.; Bachmann, M.; Makasy, C.; de Miguel, A.; Müller, A.; Neumann, A.; Palubinskas, G.; Richter, R.; Schneider, M.; Storch,T.; Walzel, T.; Kaufmann, H.; Guanter, L.; Segl,K.; Heege, T.; Kiselev, V. (2010): he Processing Chain and Cal/Val Operations of the Future Hyperspectral Satellite Mission. EnMAP 2010 IEEE Aerospace Conference Proceedings (Big Sky, MT, USA, 2010-03-06 to 2010-03-13)

Peisker, T., Spengler, D., Segl, K., Kaufmann, H., and Hostert, P. (2010): Simulation of EnMAP measured crop canopy spectra - Challenges posed by varying viewing geometry and plant phenology. Hyperspectral Workshop, Frascati, Italy, online, 2010.

Richter, K.; Hank, T.; Mauser, W. (2010): Preparatory analyses and development of algorithms for agricultural applications in the context of the EnMAP hyperspectral mission. SPIE 2010, Remote Sensing for Agriculture, Ecosystems, and Hydrology, Proc. SPIE 7824, 782407.

Sang, B., Hofer, S., Foerster, K.-P., Stuffler, T., Schubert, J., Neumann, C., Mogulsky, V., Kaufmann, H., Mueller, A., and Chlebek, C. (2010): Instrument concept for the dual hyperspectral imaging spectrometer of the German EnMAP mission. Proc. SPIE Conf. on Optical Engineering and Applications, August 10-14, San Diego, online, 2009.

Schwind, P.; Müller, R.; Palubinskas, G.; Storch, T.; Makasy, C. (2010): A Geometric Simulator for the Hyperspectral Mission EnMAP. Proceedings of the ISPRS Com I and Canadian Geomatics Conference (Calgary, Canada, 2010-06-15 to 2010-06-18)

Segl, K., Guanter, L., Kaufmann, H., Schubert, J., Kaiser, S., Sang, B., and Hofer, S. (2010): Simulation of spatial sensor characteristics in the context of the EnMAP hyperspectral mission. IEEE-Transactions, 48/7, pp. 3046-3054, 2010.

Segl, K., Guanter, L., and Kaufmann, H. (2010): Simulation of Spatial Sensor Characteristics in the Context of the EnMAP Hyperspectral Mission, IEEE Transactions on Geoscience and Remote Sensing, 48, pp. 3046–3054, 2010.

Storch, T.; Eberle, S.; Makasy, C.; Maslin, S.; de Miguel, A.; Mißling, K.-D.; Mühle, H.; Müller, R.; Engelbrecht, S.; Gredel, J.; Müller, A. (2010): On the Design of the Ground Segment for the Future Hyperspectral Satellite Mission EnMAP. 2010 IEEE Aerospace Conference Proceedings (Big Sky, MT, USA, 2010-03-06 to 2010-03-13)

Waske, B.; van der Linden, S.; Benediktsson, J.; Rabe, A.; Hostert, P. (2010): Sensitivity of Support Vector Machines to Random Feature Selection in Classification of Hyperspectral Data. IEEE Transactions on Geosciences and Remote Sensing, 48, 2880-2889.

de Miguel, A.; Bachmann, M.; Makasy, C.; Müller, A.; Müller, R.; Neumann, A.; Palubinskas, G; Richter, R.; Schneider, M; Storch, T.; Walzel, T.; Heege, T.; Kiselev, V. (2010): Processing and Calibration Activities of the Future Hyperspectral Satellite Mission EnMAP. Proceedings of the ISPRS COM I and Canadioan Geometics Conference 2010 (Calgary, Canada, 2010-06-15 to 2010-05-18)

de Miguel, A.; Bachmann, M.; Makasy, C.; Müller, A.; Müller, R.; Neumann, A.; Palubinskas, G; Richter, R.; Schneider, M; Storch, T.; Walzel, T.; Wang, X.; Heege, T.; Kiselev, V. (2010): Processing and Calibration Activities of the Future Hyperspectral Satellite Mission EnMAP. Proceedings of the Hyperspectral Workshop 2010 (Frascati, Italy, 2010-02-17 to 2010-02-19)

van der Linden, S.; Jakimow, B.; Rabe, A.; Okujeni, A.; Haubrock, S.; Hostert, P. (2010): Identifying Relevant Spectral Features by Support Vector Regression and Sequential Feature Forward Selection. Hyperspectral Workshop, ESA. March, 17-19, Frascati, Italy.

2009

Guanter, L. Richter, R. and Kaufmann, H. (2009): On the application of the MODTRAN4 atmospheric radiative transfer code to optical remote sensing. International Journal of Remote Sensing, 30/6, pp. 1407-1424, 2009.

Guanter, L., Segl, K., Sang, B., Alonso, L., Kaufmann, H., and Moreno, J. (2009): Scene-based spectral calibration assessment of high spectral resolution imaging spectrometers. Optics Express,17/14, 11594-11606, 10.1364/ OE.17.011594, 2009.

Guanter, L.; Segl, K.; Kaufmann, H. (2009): Simuation of the optical remote-sensing scences with application to the EnMAP hyperspectral mission. IEEE Transactions on Geoscience and Remote Sensing, 47, 7, 2340-2351.

Müller R.;  Bachmann, M.; Makasy, C.; de Miguel, A.; Müller; A.; Palubinskas, G.; Richter, R.; Schneider, M.; Storch, T.; Neumann, A.; Walzel, T.; Kaufmann, H.; Guanter, L.; Segl, K. (2009): EnMAP - The future hyperspectral satellite mission: product generation. Proceedings of the ISPRS Hannover Workshop 2009 (Hannover, Germany, 2009-06-02 to 2009-06-05). The International Archives of  the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXVIII-1-4-7/W5, ISPRS.

Storch, T.; de Miguel, A.; Palubinskas, G.; Müller R.; Richter, R.; Müller; A.; Guanter, L.; Segl, K.; Kaufmann, H. (2009): Processing chain for the future hyperspectral mission EnMAP. Accepted for the 6th EARSEL SIG IS Workshop Imaging Spectroscopy (Tel Aviv, Israel, 2009-03-16 to 2009-03-19)

Stuffler, Klaus Förster, Stefan Hofer, Manfred Leipold, Bernhard Sang, Hermann Kaufmann, Boris Penne, Andreas Mueller, and Christian Chlebek (2009): Hyperspectral imaging—An advanced instrument concept for the EnMAP mission (Environmental Mapping and Analysis Programme).  Acta Astronautica, Volume 65, Issues 7-8, pages 1107-1112 Proceedings of the 59th International Astronautical Congress 2008 (Glasgow, GB, 2009-09-29 to 2009-10-03)

van der Linden, S.; Hostert, P. (2009): The influence or urban surface structures on the accuracy of impervious area maps from airborne hyperspectral data. Remote Sensing of Environment, 113, 2298-2305.

van der Linden, S.; Udelhoven, T.; Leitão, P.J.; Rabe, A.; Damm, A.; Hostert, P. (2009): SVM Regression for Hyperspectral Image Analysis. 6th Workshop EARSeL SIG Imaging Spectroscopy. March 16-19, Tel Aviv, Israel.

2008

Peisker, T., Spengler, D., Segl, K., Itzerott, S., and Kaufmann, H. (2008): Simulation of Hyperspectral Reflectance Data Using Artificial 3D Crop Fields. in: Ehlers, M., Behnke, K., Gerstengarbe, F.-W., Hillen, F., Koppers, L., Stroink, L., Wächter, J. (Eds.), Digital Earth Summit on Geoinformatics, Tools for Global Change Research, pp. 39-44, 2008.

Storch, T., de Miguel, A.; Müller R.; Müller; A.; Neumann, A.; Walzel,T.; Bachmann, M.; Palubinskas, G.; Lehner, M.; Richter, R.; Borg, E.; Fichtelmann, B.; Heege, T.; Schroeder, M.; Reinartz, P. (2008): The Future Spaceborne Hyperspectral Imager EnMAP: Its calibration, validation, and processing chain. Proceedings of the 21th Congress of the International Society for Photogrammetry and Remote Sensing - ISPRS 2008 (Beijing, China, 2008-07-11). The International Archives of the Photogrammetry , Remote Sensing and Spatial Information Sciences XXXVII-B1. ISPRS, The Netherlands, pages 1265-1270.

2007

Schreier, G.; Dech, S.; Diedrich, E.; Maass, H.; Mikusch, E. (2007): Earth Observation Data Payload Ground Segments at DLR for GMES. In: 58th International Astronautical Congress, 58th International Astronautical Congress, Hyderabad, India, 2007-9-24 - 2007-9-28.

Stuffler, T.; Kaufmann, H.; Hofer, S.; Förster, K.-P.; Schreier, G.; Müller, A.; Eckardt, A.; Bach, H.; Penne, B.; Benz, U.; Haydn, R. (2007): The EnMAP hyperspectral imager- An advanced optical payload for future applications in Earth observation programmes, Acta Astronautica, 61, 1-6, 115-120.

Stuffler, T.; Kaufmann, H.; Hofer, S.; Förster, K.-P.; Schreier, G.; Müller, A.; Eckardt, A.; Penné, B.; Haydn, R. (2007): The German Hyperspectral Satellite EnMAP - The Next Generation in Optical Remote Sensing (Abstract). In: Sandau, R.; Röser, H.-P.; Valenzuela, A. [Eds.]: Small Satellites for Earth Observation - Digest of the 6th International Symposium of the International Academy of Astronautics, Berlin, April 23-26, 2007, ISBN 3-89685-571-9.

2006

Kaufmann, H.; Segl, K.; Chabrillat, S.; Hofer, S.; Stuffler, T.; Müller, A.; Richter, R.; Schreier, G.; Haydn, R.; Bach, H. (2006): A Hyperspectral Sensor for Environmental Mapping and Analysis (Invited paper), IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2006) & 27th Canadian Symposium on Remote Sensing (Denver, Colorado, USA 2006).

Müller, A.; Kaufmann, H.; Hofer, S.; Chlebek, Ch.; Richter, R.; Gredel, J.; Segl, K.; Förster, K.-P. (2006): Instrument Requirements, Data Processing, and Mission Scenarios for the German Hyperspectral mission EnMAP (Environmental Mapping and Analysis Program), Session Keynote, The 13th Australasian Remote Sensing and Photogrammetry Conference, Canberra, Australia, Monday 20 – Friday 24 November 2006.

2005

Kaufmann, H.; Segl, K.; Chabrillat, S.; Müller, A.; Richter, R.; Schreier, G.; Hofer, S.; Stuffler, T.; Haydn, R.; Bach, H.; Benz, U. (2005): EnMAP – An Advanced Hyperspectral Mission, Proceedings, 4th EARSel Workshop on Imaging Spectroscopy (Warsaw 2005), 55-60.

2004

Hofer, S.; Kaufmann, C.; Schreier, G.; Müller, A.; Mehl, H.; Langemann, M.; Bach, H.; Benz, U.; Haydn, R. (2004): The Advanced Hyperspectral Mission EnMAP - Germany Prepares for the Future. In: Final Papers 55th IAC 2004, CD-ROM, International Astronautical Congress, Vancouver, October 4 - 8, 2004.

Müller, A., Richter, R.; Kaufmann, H.; Stuffler, T.; Hofer, S.; Mehl, H.; Schreier, G.; Langemann, M. (2004): EnMAP (Environmental Monitoring and Analysis Programm) - A German hyperspectral initiative, Twelfth Australasian Remote Sensing & Photogrammetry Conference [electronic resource] : 18-22 October 2004, 12th Australasian Remote Sensing and Photogrammetry Conference (Fremantle, W.A. 2004).

2003

Kaufmann, H., Chabrillat, S., Dech, S., Habermeyer, M., Holzwarth, S. (2003): Environmental Mapping and Analysis Program Based on the Use of the Airborne Reflective Emmissive Spectrometer (ARES). 3rd EARSeL Workshop on Imaging Spectroscopy, Herrsching, 13-16 May 2003, EARSeL, Proc. 3rd EARSeL Workshop on Imaging Spectroscopy, Herrsching, 13-16 May 2003, (2003).

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