Since 11/2016: Senior Lecturer and Researcher, FU Berlin, Department of Earth Sciences, Remote Sensing and Geoinformatics

05/2011 – 10/2016: PostDoc and lecturer; BMBF-Project TFO (The Future Okavango) and SASSCAL (Southern African Science Service Centre for Climate Change and Adaptive Land Management), Trier University, Environmental Remote Sensing and Geoinformatics

04/2011: PhD (Dr. rer. nat), thesis title: Land use change syndromes as a framework for integrating satellite observations into the assessment of dryland degradation, Trier University

01/2003 - 04/2011: Scientific assistant and PhD; EU projects LADAMER (Land Degradation Assessment in Mediterranean Europe) and DeSurvey (A Surveillance System for Assessing and Monitoring of Desertification) as well as the Interreg IVa project Regiowood; Trier University, Environmental Remote Sensing and Geoinformatics

12/2002: Diploma in Applied Environmental Sciences, Thesis: “Ableitung sonneninduzierter Chlorophyll-Fluoreszenz zur Detektion von Pflanzenstress” (Deduction of sun-induced chlorophyll-fluorescence for the detection of plants under stress conditions); Trier University and DLR Oberpfaffenhofen

10/1996 - 12/2002: Studies of Applied Environmental Sciences; main subjects: remote sensing and geomathematics, subsidiary subjects: soil sciences and climatology; Trier University

OrcID: 0000-0001-7325-6152

ResearcherID: D-9035-2016

ResearchGate

Google Scholar

Please, refer to the university course catalog.

Research Interests

I am specialized in time series analysis of medium and coarse resolution remote sensing time series and I have been working for more than ten years in the field of land cover/use change detection. Moreover, I have attended in many field studies and campaigns to collect validation data with spectrometers and many other instruments.

I am interested in interdisciplinary environmental research, especially in the evaluation of ecosystem goods and services and I have a strong background in remote sensing based monitoring of land degradation and desertification. I worked in many EU-funded projects, amongst others the LADAMER project and the DeSurvey project, which were dedicated to assessment of land degradation in the Mediterranean. During the last years, I was involved in the international interdisciplinary project SASSCAL, which is funded by the German Federal Ministry of Education and Research is a joint initiative of Angola, Botswana, Namibia, South Africa, Zambia, and Germany, responding to the challenges of global change.

Background

I received my Diploma in Applied Environmental Sciences in 2002, with an emphasis on optical remote sensing and geomathematics and I wrote my diploma thesis in collaboration with the German Aerospace Centre (DLR), Oberpfaffenhofen, Germany. Until October 2016, I was a senior scientist in the Department of Environmental Remote Sensing and Geoinformatics at Trier University, Germany, where I also obtained my PhD in 2012.

Refereed Journal Papers

Ji, C., Jilge, M.,  Heiden, U., Stellmes, M. and Feilhauer, H. (2020): Sampling Robustness in Gradient Analysis of Urban Material Mixtures. IEEE Transactions on Geoscience and Remote Sensing. doi: 10.1109/TGRS.2020.3040342.

Fenske, K., Feilhauer, H., Förster, M., Stellmes, M., Waske, B. (2020): Hierarchical classification with subsequent aggregation of heathland habitats using an intra-annual RapidEye time-series. International Journal of Applied Earth Observation and Geoinformation 87, 102036. doi:10.1016/j.jag.2019.102036.

Frantz, D., Stellmes, M. and Hostert, P. (2018): A Global MODIS Water Vapor Database for the Operational Atmospheric Correction of Historic and Recent Landsat Imagery. Remote Sensing, 11, 257; doi:10.3390/rs11030257

Röder; A., Stellmes, M., Frantz, D. & Hill, J. (2018): Remote sensing-based environmental assessment and monitoring - generation of operational baseline and enhanced experimental products in southern Africa. Biodiversity & Ecology, 6: 344-354, doi:10.7809/b-e.00344.

Schneibel, A., Röder, A., Stellmes, M. & Frantz, D. (2018): Long-term land use change analysis in south-central Angola. Assessing the trade-off between major ecosystem services with remote sensing data 360-367, Biodiversity & Ecology, 6: 360-367, doi:10.7809/b-e.00346.

Schneibel, A., Frantz, D., Röder, A., Stellmes, M., Fischer, K. and Hill, J. (2017): Using Annual Landsat Time Series for the Detection of Dry Forest Degradation Processes in South-Central Angola. Remote Sensing, 9, 905. doi:10.3390/rs9090905

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

Schneibel, A., Stellmes, M., Röder, A., Frantz, D., Kowalski, B., Haß, E. and J. Hill (2017): Assessment of spatio-temporal changes of smallholder cultivation patterns in the Angolan Miombo belt using segmentation of Landsat time series. Remote Sensing of Environment, 195, 118-129.

Frantz, D., Röder, A., Stellmes, M. and  J. Hill (2017): Phenology-adaptive pixel-based compositing using optical earth observation imagery. Remote Sensing of Environment, 190, 331-347.

Frantz, D., M. Stellmes, A. Röder, and J. Hill (2016): Fire spread from MODIS burned area data: obtaining fire dynamics information for every single fire. International Journal of Wildland Fire. http://dx.doi.org/10.1071/WF16003

Frantz, D., 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.

Frantz, D., A. Röder, M. Stellmes, and J. Hill (2016): An Operational Radiometric Landsat Preprocessing Framework for Large-Area Time Series Applications. IEEE Transactions on Geoscience and Remote Sensing, 54 (7): 3928-3943.

Revermann, R., M. Finck, M. Stellmes, B.J. Strohbach, D. Frantz & J. Oldeland (2016): Linking Land Surface Phenology and Vegetation-Plot Databases to Model Terrestrial Plant α-Diversity of the Okavango Basin. Remote Sensing 8 (5), 370.

Schneibel, A., Stellmes, M., Röder, A., Finckh, M., Revermann, R., Frantz, D. and Hill, J. (2016): Evaluating the trade-off between food and timber resulting from the conversion of Miombo forests to agricultural land in Angola using multi-temporal Landsat data. Science of The Total Environment, 548–549: 390-401.

Frantz, D., Röder, A., Stellmes, M., and Hill, J. (2015): On the derivation of a spatially distributed aerosol climatology for its incorporation in a radiometric Landsat pre-processing framework. Remote Sensing Letters, 6 (8): 647-656.

Röder, A., Pröpper, M., Stellmes, M., Schneibel, A. & Hill, J. (2015): Assessing urban growth and rural land use transformations in a cross-border situation in Northern Namibia and Southern Angola. Land Use Policy 42: 340-254.

Stellmes, M. Frantz, D. Finckh, M., Revermann, R., Röder, A. & Hill, J. (2013): Fire frequency, fire seasonality and fire intensity within the Okavango region derived from MODIS fire products. Biodiversity & Ecology, 5, 351-362.

Röder, A., Stellmes, M., Domptail, S., Eschenbach, A., Finckh, M., Gröngröft, A., Helmschrot, J., Pröpper, M., Schneibel, A. & Stoffels, J. (2013): Cumulative Effects of Policy and Management Actions on Ecosystem Services: Challenges and Methodological Approaches in The Future Okavango Project. Biodiversity & Ecology, 5, 167-183.

Schneibel, A., Stellmes, M., Revermann, R., Finckh, M., Röder, A. & Hill, J. (2013): Agricultural expansion during the post-civil war period in southern Angola based on bi-temporal Landsat data. Biodiversity & Ecology, 5, 311-319.

Wehberg, J., Bock, M., Weinzierl, T., Conrad, O., Böhner, J., Stellmes, M., Landschreiber, L. (2013): Terrain-based Landscape Structure Classification in Relation to Remote Sensing Products and Soil Data for the Okavango Catchment. Biodiversity & Ecology, 5, 221–233.

Domptail, S. E., Nuppenau, E.-A., Azebaze, N., Brown, L. D., Falk, T., Finckh, M., Große, L. M., Kowalski, B., Pröpper, M., Stellmes, M., Overmann, J. (2013): Using trade-offs and synergies in ecosystem services for resource management. Biodiversity & Ecology 5, 185–193.

Stellmes, M., Röder, A., Udelhoven, T. & Hill, J. (2013): Mapping syndromes of land change in Spain with remote sensing time series, demographic and climatic data. Land Use Policy, 30, 685-702.

Buddenbaum, H., O. Stern, M. Stellmes, J. Stoffels, P. Pueschel, J. Hill & W. Werner (2012): Field Imaging Spectroscopy of Beech Seedlings under Dryness Stress. Remote Sensing, 4: 3721-3740. doi:10.3390/rs4123721

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.

Sonnenschein, R., Kuemmerle, T., Udelhoven, T., Stellmes, M. & Hostert, P. (2011): Differences in Landsat-based trend analyses in drylands due to the choice of vegetation estimate. Remote Sensing of Environment, 115 (6): 1408-1420.

Stellmes, M., Udelhoven, T., Röder, A., Sonnenschein, R. and Hill, J. (2010): Dryland observation at local and regional scale - comparison of Landsat TM/ETM+ and NOAA AVHRR time series. Remote Sensing of Environment, 114 (10), p. 2111–2125, doi:10.1016/j.rse.2010.04.016.

Del Barrio, G., Puigdefabregas, J., Sanjuan, M. E., Stellmes, M. and Ruiz, A. (2010): Assessment and monitoring of land condition in the Iberian Peninsula, 1989-2000. Remote Sensing of Environment, 114 (8), p. 1817-1832, doi:10.1016/j.rse.2010.03.009.

T. Udelhoven, M. Stellmes, G. del Barrio, J. Hill (2009): Assessment of rainfall and NDVI anomalies in Spain (1989-1999) using distributed lag models. International Journal of Remote Sensing, 30(8), p. 1961 - 197, doi: 10.1080/0143116080254682.

Udelhoven, T. van der Linden, S. Waske, B. Stellmes, M. Hoffmann, L. (2009): Hypertemporal Classification of Large Areas Using Decision Fusion. IEEE Geoscience and Remote Sensing Letters, 6(3), , p. 592-596, doi: 10.1109/LGRS.2009.2021960.

Rascher, U., Agati, G., Alonso, L., ... Stellmes, M., ... Udelhoven, T., ... (2009): CEFLES2: the remote sensing component to quantify photosynthetic efficiency from the leaf to the region by measuring sun-induced fluorescence in the oxygen absorption bands, Biogeosciences, 6, p. 1181-1198.

Hill, J., Stellmes, M., Udelhoven, T., Röder, A., & Sommer, S. (2008): Mediterranean desertification and land degradation Mapping related land use change syndromes based on satellite observations. Global and Planetary Change, 64, p. 146-157.

Lorent, H., Evangelou, C., Stellmes, M., Hill, J., Papanastasis, V.P., Tsiourlis, G., Röder, A., & Lambin, E.F. (2008): Land degradation and economic conditions of agricultural households in a marginal region of northern Greece. Global and Planetary Change, 64, p. 198-209.

Refereed Book Articles

Stellmes, M., Sonnenschein, R., Röder, A., Udelhoven, T., Sommerm S. & Hill, J. (2015): Land Degradation Assessment and Monitoring of Drylands. In P. Thenkabail (ed.), Remote Sensing of Water Resources, Disasters, and Urban Studies, Remote Sensing Handbook, Volume 3, Boca Raton, USA, p. 417-452.

Udelhoven, Th., Stellmes, M. & Röder, A. (2015): Assessing rainfall-EVI relationships in the Okavango catchment employing MODIS time series data and distributed lag models: In C. Kuenzer, S. Dech & S. Wagner (Eds.), Remote Sensing Time Series. Revealing Land Surface Dynamics (pp. 225-245). Berlin, Heidelberg: Springer (ISBN 978-3-319-15967-6).

Hill, J., Stellmes, M. & Wang, C. (2014): Land Transformation Processes in NE China: Tracking Trade-Offs in Ecosystem Services Across Seceral Decades with Landsat-TM/ETM+ time series. In: Manakos, I. & Braun, M. (eds.): Land Use and Land Cover Mapping in Europe - Practices and Trends. Springer, p. 383 - 410.

Maier, Stefan W., Günther, Kurt P., Stellmes, Marion (2003): Sun-Induced Fluorescence: A New Tool for Precision Farming.In: M. McDonald, J. Schepers, L. Tartly, T. VanToai and D. Major (Hrsg.): Digital Imaging and Spectral Techniques: Applications to Precision Agriculture and Crop Physiology. ASA Special Publication Number 66, p. 209-222.

Books

Stellmes, M. (2012): Land use change syndromes as a framework for integrating satellite observations into the assessment of dryland degradation. Dissertation, Universität Trier.

Other

Cherlet, M., Hutchinson, C., Reynolds, J., Hill, J., Sommer, S., von Maltitz, G. (Eds.), World Atlas of Desertification, Publication Office of the European Union, Luxembourg, 2018 (Contributing author).

M. Pröpper, Gröngröft, A., Finckh, M., Stirn, S., De Cauwer, V., Lages, F., Masamba, W., Murray-Hudson, M., Schmidt, L., Strohbach, B., and Jürgens, N. (eds.) (2015): The Future Okavango – Findings, Scenarios and Recommendations for Action. Research Project Final Synthesis Report 2010 -2015. (Contributing author)

Stellmes, M., Frantz, D., Finckh, M., Revermann, R. (2013): Okavango Basin - Earth Observation. Biodiversity & Ecology, 5, 23-27.

Schneibel, A., Stellmes, M., Frantz, D., Finckh, M., Revermann, R. (2013): Cusseque - Earth Observation. Biodiversity & Ecology, 5, 55-57.

Frantz, D., Schneibel, A., Stellmes, M., Revermann, R., Finckh, M. (2013): Caiundo - Earth Observation. Biodiversity & Ecology, 5, 87-89.

Röder, A., Schneibel, A., Stellmes, M., Frantz, D. (2013): Mashare - Earth Observation. Biodiversity & Ecology, 5, 113-115.

Schneibel, A., Stellmes, M., Frantz, D., Revermann, R., Finckh, M. (2013): Seronga - Earth Observation. Biodiversity & Ecology, 5, 139-141.

Weissteiner, C. J., Böttcher, K., Mehl, W., Sommer S. & Stellmes M. (2008): Mediterranean-wide Green Vegetation Abundance for Land Degradation Assessment Derived from AVHRR NDVI and Surface Temperature 1989 to 2005. JRC Scientific and technical reports.

Conference Articles

Hill, J., Stellmes, M., Stoffels, J., Werner, W., Shtern, O. & Frantz, D. (2011): Assessing the Sensitivity of European Beech (Fagus sylvatica L.) Stands to Severe Drought Based on Measurements from Earth Observation Satellites. In, 1st Forestry Workshop: Operational Remote Sensing in Forest Management. 2-3 June 2011, Prague, Czech Republic.

Röder, A., Hubert, S., Stellmes, M., Scarth, P., Bautista, S. & Cortina, J. (2010): Characterizing landscape properties in southeasthern Spain by combining classification and multi-date spectral mixture analysis. Surveying and Spatial Sciences Institute (eds.): Proceedings of the 15th Australasian Remote Sensing & Photogrammetry Conference, 13th – 17th September 2010, Alice Springs (Australia), 15 pp (http://www.15.arspc.com/proceedings)

Hill, J., Dach, C., del Barrio, G., Stellmes, M., Helldén, U. & Wang, C. (2010): Integrating MODIS-EVI and Gridded Rainfall/temperature Fields for Assessing Land Degradation Dynamics in Horqin Sandy Lands, Inner Mongolia (China). Reuter, R. (ed.): 30th EARSeL Symposium – Remote Sensing for Science, Education and Natural and Cultural Heritage, UNESCO, Paris (France), 31 May – 3 June, 2101.

Röder, A., Hubert, S., Stellmes, M., Scarth, M., Bautista, S., Cortina, J. (2010): Characterizing Land Use Change in a Complex Semi-arid Landscape by Combined Assessment of Land Transformations and Modifications. Reuter, R. (ed.): 30th EARSeL Symposium – Remote Sensing for Science, Education and Natural and Cultural Heritage, UNESCO, Paris (France), 31 May – 3 June, 2101, pp. 231-238

Röder, A., Stellmes, M., Hill, J., Kuemmerle, T., & Tsiourlis, G. (2008): Analysing land cover change using time series analysis of Landsat data and geoinformation processing: a natural experiment in Northern Greece. In, SPIE, Remote Sensing for Agriculture, Ecosystems, and Hydrology X (DOI:10.1117/1112.800265). Cardiff.

Stellmes, M., Udelhoven, T., Röder, A., & Hill, J. (2008): Dryland observation at local and regional scale: comparison of Landsat TM and NOAA AVHRR time series. In, SPIE, Remote Sensing for Agriculture, Ecosystems, and Hydrology X (DOI:10.1117/1112.800266). Cardiff.

Vohland, M., & Stellmes, M. (2008): Using evapotranspiration estimates from Landsat TM data to analyse uncertainties of a spatially distributed hydrological model (PRMS). In, SPIE, Remote Sensing for Agriculture, Ecosystems, and Hydrology X (DOI: 10.1117/1112.800271 )

Stellmes, M., Schickling, A., Werner, W. & Hill, J. (2007): Detection of chlorophyll fluorescence by active and passive methods – field experiments with barley. 3rd International Workshop on Remote Sensing of Vegetation Fluorescence, CNR, Florence.

Udelhoven, T. & Stellmes, M. (2007): Changes in Land Surface Conditions on the Iberian Peninsula (1989 to 2004) Detected by Means of Time Series Analysis from Hypertemporal Remote Sensing Data. International Workshop in the Analysis of Multi-temporal Remote Sensing Images, MultiTemp 2007, Leuven, 1-6.

Hill, J.; Jarmer, T.; Udelhoven, T. & Stellmes, M. (2006): Remote sensing and geomatics applications for desertification and land degradation monitoring and assesment.- In: Escadafal, R. & Paracchini, M. L. (eds.): Geometrics for land and water management: Achievements and challenges in the Euromed context, International Workshop, Joint Research Centre, Italy, 23-25 June 2004, 15-22.

Stellmes, M., Sommer, S. and Hill, J. (2006): Use of the NOAA AVHRR NDVI-Ts feature space to derive vegetation cover estimates from long term time series for determining regional vegetation trends in the Mediterranean.In: A. Röder & J. Hill (Eds.): Proceedings of the 1st International Conference on "Remote Sensing and Geoinformation Processing in the Assessment and Monitoring of Land Degradation and Desertification. In support of the UN Convention to Combat Desertification"; 7.-9. Sept. 2005, Trier, Germany, pp. 231-238.

Stellmes, Marion, Sommer, Stefan & Hill, Joachim (2005): Regional vegetation monitoring based on the NOAA AVHRR time series in the Mediterranean Area.In Erasmi, S., Cyffka, B., Kappas, M. (Eds.): GGRS 2004 - 1st Göttingen GIS & Remote Sensing Days - Environmental studies. Göttinger Geographische Abhandlungen, Heft 113, p. 124-130.

Data and software:

Frantz, D., Stellmes, M., and Ernst, S. (2021). Water vapor database for atmospheric correction of Landsat imagery. Zenodo. Dataset available online: https://doi.org/10.5281/zenodo.4468700

Frantz, David; Stellmes, Marion (2018): Water vapor database for atmospheric correction of Landsat imagery. PANGAEA, https://doi.org/10.1594/PANGAEA.893109

Frantz, D. (2017): FORCE –Framework for Operational Radiometric Correction for Environmental Monitoring. https://www.uni-trier.de/index.php?id=63673 (intellectual contribution).

Frantz, D. and Stellmes, M. (2016): MODISFire. https://www.uni-trier.de/index.php?id=59110&L=0