Dr. Sebastian Mader

Beiträge in Zeitschriften

S. Estel, S. Mader, C. Levers, P.H. Verburg, M. Baumann & T. Kuemmerle (2018): Combining satellite data and agricultural statistics to map grassland management intensity in Europe. Environmental Research Letters, 13 (7), 074020. DOI

E. Haß, D. Frantz, S. Mader & J. Hill (in press): Global Analysis of the Differences Between the MODIS Vegetation Index Compositing Date and the Actual Acquisition Date.IEEE Geoscience and Remote Sensing Letters.DOI

D. Frantz, M. Stellmes, A. Röder, T. Udelhoven, S. Mader, and J. Hill (2016): Improving the Spatial Resolution of Land Surface Phenology by Fusing Medium- and Coarse-Resolution Inputs.IEEE Transactions on Geoscience and Remote Sensing, 54 (7): 4153-4164. DOI
Download the post-print version here

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

Rumbaur, C., Thevs, N., Disse, M., Ahlheim, M., Brieden, A., Cyffka, B., Duethmann, D., Feike, T., Frör, O., Gärtner, P., Halik, Ü., Hill, J., Hinnenthal, M., Keilholz, P., Kleinschmit, B., Krysanova, V., Kuba, M., Mader, S., Menz, C., Othmanli, H., Pelz, S., Schroeder, M., Siew, T. F., Stender, V., Stahr, K., Thomas, F. M., Welp, M., Wortmann, M., Zhao, X., Chen, X., Jiang, T., Luo, J., Yimit, H., Yu, R., Zhang, X., and Zhao, C. (2015): Sustainable management of river oases along the Tarim River (SuMaRiO) in Northwest China under conditions of climate change, Earth System Dynamics, 6, 83-107, doi:10.5194/esd-6-83-2015. Link

J. Stoffels, S. Mader, J. Hill, W. Werner & G. Ontrup (2012): Satellite-based stand-wise forest cover type mapping using a spatially adaptive classification approach. European Journal of Forest Research, 131 (4): 1071-1089. DOI: 10.1007/s10342-011-0577-2

Vohland, M., Mader, S. & Dorigo, W. (2010): Applying different inversion techniques to retrieve stand variables of summer barley with PROSPECT + SAIL. Int. J. Appl. Earth Observation & Geoinformation (JAG), 12, 71-80.  

Konferenzbeiträge

J. Hill, J. Langshausen, J. Stoffels, H. Buddenbaum, S. Mader, T. Sachtleber & G. Ontrup (2014): Integrating Sentinel-2 Data into a Geo-Information-Based Forest Inventory and Monitoring Concept of the Rhineland-Palatinate Federal State (Germany). SENTINEL-2 for Science Workshop, Frascati, Italy, 20-22 May 2014. (Poster presentation)

J. Hill, J. Langshausen, J. Stoffels, S. Mader, T. Sachtleber, H. Buddenbaum & J. Dietz (2014): Integration von Sentinel-Daten in GI-basierte Forstinventur- und Monitoringkonzepte auf Bundeslandebene. Nationales Forum für Fernerkundung und Copernicus 2014, 8-10 April, Berlin, Germany. (Oral Presentation)

J. Stoffels, J. Hill, T. Sachtleber, S. Mader, J. Langshausen, H. Buddenbaum, O. Stern & S. Dotzler (2014): Strategien zur satellitengestützten Waldinventur. RESA-Workshop, 5.-6. March 2014, Bonn, Germany. (Oral Presentation)

Jarmer, T., Hill, J. & Mader, S. (2007): The use of hyperspectral remote sensing data for the assessment of chemical properties of dryland soils in SE-Spain. Proceedings 5th EARSeL Workshop on Imaging Spectroscopy. Bruges, Belgium, April 23-25 2007.

Vohland, M. & Mader, S. (2007): From HyMap Imagery to Spatially Distributed Vegetation Water Contents - A Comparison of Different Estimation Approaches Based on Canopy Reflectance Modelling. In: "Von der Medizintechnik bis zur Planetenforschung - Photogrammetrie und Fernerkundung für das 21. Jahrhundert", Tagungsband der 21. Wissenschaftlich-Technischen Jahrestagung der DGPF, 19.-21. Juni 2007, Basel (= DGPF Publikationen, Band 16), 407-416

Hill, J., Röder, A., Mader, S. (2006): Landdegradation und Desertifikation. Die Erfassung prozessrelevanter Oberflächeneigenschaften mit optischen Fernerkundungssystemen. In: Kulke, E., Monheim, H. & Wessel, K. (Eds.):GrenzWerte - Tagungsbericht und wissenschaftliche Abhandlungen des 55. Deutschen Geographentages Trier 2005, pp. 651-660.

Mader, S., Vohland, M., Jarmer, T. & Casper, M. (2006): Crop classification with hyperspectral data of the HyMap sensor using different feature extraction techniques. – In: Remote Sensing of Land Use and Land cover. Proc. of the 2nd Workshop of the EARSeL Special Interest Group on Land Use and Land Cover, Bonn, 28-30 September 2006, 96-101. Download

Vohland, M., Jarmer, T., Mader, S. (2006): Assessment of the leaf area index (LAI) for summer barley from field spectroradiometer and HyMap image data using the PROSPECT + SAIL models. – In: Remote Sensing of Land Use and Land cover. Proc. of the 2nd Workshop of the EARSeL Special Interest Group on Land Use and Land Cover, Bonn, 28-30 September 2006, 249-257. Download

Schlerf, M., Atzberger, C., Mader, S., Udelhoven, T. (2005): Estimating conifer forest LAI with HyMap data using a reflectance model and artificial neural nets. In: Zagajewski, B. & Sobczak, M. (Eds.): Imaging Spectroscopy - New Quality in Environmental Studies, Warsaw: 673-678

Vohland, M., Mader, S., Schlerf, M. (2005): Retrieval of Canopy Properties for Grassland With Widely Varying Management Intensities Using Field and Imaging Spectrometer Data. - In: C. Kleinn, J. Nieschulze, B. Sloboda (Hrsg.): Remote Sensing and Geographical Information Systems for Environmental Studies - Proc. 1st Goettingen GIS and Remote Sensing Days (Vol. 2), Goettingen, 7-8 October 2004, 116-126 Download

Schlerf, M., Atzberger, C., Udelhoven, T., Jarmer, S., Mader, S., Werner, W. & Hill, J. (2003): Spectrometric estimation of leaf pigments in Norway spruce needles using band-depth analysis, partial least-square regression and inversion of a conifer leaf model.In: Müller, A. (Ed.): 3rd EARSeL Workshop on Imaging Spectroscopy, Herrsching, May 13-16, 2003. Download

Sonstige

Mader, S. (2012): A Framework for the Phenological Analysis of Hypertemporal Remote Sensing Data Based on Polynomial Spline Models – Ein Rahmenkonzept zur phenologischen Analyse von hypertemporalen Fernerkundungsdaten auf der Basis polynomischer Spline-Modelle. Dissertation, Universität Trier.

Hill, J., Boer, M., Jarmer, T. & Mader, S. (2002): Der Einsatz von Hyperspektraldaten zur modellbasierten Bewertung von Landdegradations- und Desertifikationserscheinungen im Guadalentin (SE-Spanien). - 20. DFD-Nutzerseminar, Neustrelitz, 6.-8. Oktober 2003 (auf CD) Download