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Bargiel, D. (2013). Capabilities of high resolution satellite radar for the detection of semi-natural habitat structures and grasslands in agricultural landscapes. Ecological Informatics, 13, 9-16.
Bargiel, D., Herrmann, S., & Jadczyszyn, J. (2013). Using high-resolution radar images to determine vegetation cover for soil erosion assessments. Journal of Environmental Management, 124, 82-90.
Müntinga, H., Ahlers, H., Krutzik, M., Wenzlawski, A., Arnold, S., Becker, D., Bongs, K., Dittus, H., Duncker, H., Gaaloul, N., Gherasim, C., Giese, E., Grzeschik, C., Hänsch, T. W., Hellmig, O., Herr, W., Herrmann, S., Kajari, E., Kleinert, S., ... Rasel, E. M. (2013). Interferometry with Bose-Einstein condensates in microgravity. Physical review letters, 110(9), Artikel 093602.
Schubert, C., Hartwig, J., Ahlers, H., Posso-Trujillo, K., Gaaloul, N., Velte, U., Landragin, A., Bertoldi, A., Battelier, B., Bouyer, P., Sorrentino, F., Tino, G. M., Krutzik, M., Peters, A., Herrmann, S., Lämmerzahl, C., Cacciapouti, L., Rocco, E., Bongs, K., ... Rasel, E. M. (2013). Differential atom interferometry with 87Rb and 85Rb for testing the UFF in STE-QUEST. Vorabveröffentlichung online.


von Haaren, C., Herrmann, S., Nadin, V., Benoit, M., Lovett, A., Bäcklund, A.-K., Verburg, P. H., Elbe, S., Banski, J., Barberi, P., Konkoly-Gyuró, E., Macombe, C., & Firmino, A. (2012). RUFUS – Rural Future networks about Environmental and Socio-economic Dynamics: Management for Sustainability. EU Theme 8: Socio-Economic Sciences and Humanities.


Bargiel, D., & Herrmann, S. (2011). Multi-Temporal Land-Cover Classification of Agricultural Areas in Two European Regions with High Resolution Spotlight TerraSAR-X Data. Remote sensing, 3(5), 859-877.
Herrmann, S., van de Fliert, E., & Alkan-Olsson, J. (2011). Editorial: Integrated assessment of agricultural sustainability: Exploring the use of models in stakeholder processes. International Journal of Agricultural Sustainability, 9(2), 293-296.


Bargiel, D., Herrmann, S., Lohmann, P., & Sörgel, U. (2010). Land use classification with high-resolution satellite radar for estimating the impacts of land use change on the quality of ecosystem services. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 38(7B), 68-73.
Berkhoff, K., & Herrmann, S. (2010). Understanding land use change with the aid of an integrated modeling framework – a case study on rural South-West China. In M. K. J. van Ittersum, J. Wolf, & H. H. van Laar (Hrsg.), Integrated Assessment of Agriculture and Sustainable Development; setting the agenda for science and policy (AgSAP 2009).: 10-12 March 2009, Hotel Zuiderduin, Egmond aan Zee, The Netherlands: proceedings. Wageningen: Wageningen University Plant Production Systems AgSAP Office (S. 558)
Herrmann, S., Döllefeld, M., Berkhoff, K., Galler, C., & Bredemeier, B. (2010). Single Case Study Report Straubing-Bogen. RUFUS Deliverable.
Herrmann, S. (2010). Supporting the diversities of rural regions in Europe. Public Service Review – Science & Technology, 2009(4), 184.
Scholz, J., & Herrmann, S. (2010). Rural Regions in Europe. A new typology showing the diversity of European rural regions. RUFUS discussion paper 2010-4.
Wahren, A., Berkhoff, K., Münch, A., Herrmann, S., & Feger, K. H. (2010). A setup for a scenario-driven water balance at landscape scale-assessment with AKWA-M®-Embedded in a model framework for land-use planning's decision support in mountainous southwest China. Journal of earth science, 21(6), 974-978.
Wahren, A., Berkhoff, K., Herrmann, S., & Feger, K. H. (2010). Building an integrated modeling framework for assessing land-use change and its consequences for areal water balance in mountainous Southwest China. Advances in Geosciences, 27, 71-77.


Berkhoff, K., & Herrmann, S. (2009). Modeling land use change: Modeling Land Use Change. In Advances in GIScience: Proceedings of the 12th AGILE Conference (S. 309-328). (Lecture Notes in Geoinformation and Cartography). Kluwer Academic Publishers.
Berkhoff, K., & Herrmann, S. (2009). Modeling land use change: A GIS based modeling framework to support integrated land use planning (NabanFrame). In M. Sester, L. Bernard, & V. Paelke (Hrsg.), Advances in GIScience: (Lecture Notes in Geoinformation and Cartography series) Springer.
Henseler, M., Wirsig, A., Herrmann, S., Krimly, T., & Dabbert, S. (2009). Modeling the impact of global change on regional agricultural land use through an activity-based non-linear programming approach. Agricultural systems, 100(1-3), 31-42.
Herrmann, S., & Berkhoff, K. (2009). GIS based land use modelling – LUCC scenarios at the regional scale. In UNESCO (Hrsg.), Proceedings of the ERSEC International Conference 2008 "Sustainable Land Use and Water Management", Beijing, 8-10 October 2008 (S. 231-239)


Berkhoff, K., Cotter, M., Herrmann, S., & Sauerborn, J. (2008). Use of remote sensing data as basic information for applied land use change modelling. In Proceedings of the ERSEC Conference on “Sustainable Land Use and Water Management”, 8 -10 October 2008 Beijing.


Herrmann, S. (Hrsg.) (2007). Geo-Informations-Technologien als Mittler in Beteiligungsprozessen am Beispiel der Umsetzung der EG-Wasserrahmenrichtlinie. KTBL-Verlag.