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Heine, I., Stüve, P., Kleinschmit, B. and Itzerott, S. (2015). Reconstruction of Lake Level Changes of Groundwater-Fed Lakes in Northeastern Germany Using RapidEye Time Series [10]. Water 2015, 4175-4199.

Nieland, S., Kleinschmit, B. and Förster, M. (2015). Using ontological inference and hierarchical matchmaking to overcome semantic heterogeneity in remote sensing-based biodiversity monitoring [11]. International Journal of Applied Earth Observation and Geoinformation, 133-141.

Corbane, C., Lang, S., Pipkins, K., Alleaume, S., Deshayes, M., García Milláne, V., Strasser, T., Vanden Borre, J., Toon, S. and Förster, M. (2015). Remote sensing for mapping natural habitats and their conservation status – New opportunities and challenges [12]. International Journal of Applied Earth Observation and Geoinformation, 7-16.

Schuster, C., Schmidt, T., Conrad, C., Kleinschmit, B. and Förster, M. (2015). Grassland Habitat Mapping by Intra-Annual Time Series Analysis - Comparison of RapidEye and TerraSAR-X Satellite Data [13]. International Journal of Applied Earth Observation and Geoinformation, 25-34.

Baur, A. H., Förster, M. and Kleinschmit, B. (2015). The spatial dimension of urban greenhouse gas emissions: analyzing the influence of spatial structures and LULC patterns in European cities [14]. Landscape Ecology. Springer.

Förster, M. and Frick, A. (2015). Fernerkundung als Hilfe im Naturschutz - Aktuelle Sensoren und Methoden angewandt auf Großschutzgebiete in Brandenburg [15]. Forum der Geoökologie, 22-25.


Dugord, P., Lauf, S., Schuster, C. and Kleinschmit, B. (2014). Land use patterns, temperature distribution, and potential heat stress risk - The case study Berlin, Germany [16]. Computers, Environment and Urban Systems, 86-98.

Behling, R., Roessner, S., Segl, K., Kleinschmit, B. and Kaufmann, H. (2014). Robust Automated Image Co-Registration of Optical Multi-Sensor Time Series Data: Database Generation for Multi-Temporal Landslide Detection [17]. Remote Sensing, 2572-2600.

Behling, R., Roessner, S., Kaufmann, H. and Kleinschmit, B. (2014). Automated Spatiotemporal Landslide Mapping over Large Areas Using RapidEye Time Series Data [18]. Remote Sensing, 8026-8055.

Schmidt, T., Schuster, C., Kleinschmit, B. and Förster, M. (2014). Evaluating an Intra-Annual Time Series for Grassland Classification—How Many Acquisitions and What Seasonal Origin Are Optimal? [19]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 3428-3439.

Rumbaur, C., Thevs, N., Disse, M., Ahlheim, M., Brieden, A., Cyffka, B., Doluschitz, R., 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., Stender, V., Stahr, K., Thomas, F., Welp, M., Wortmann, M., Zhao, X., Chen, X., Jiang, T., Zhao, C., Zhang, X., Luo, J., Yimit, H. and Yu, R. (2014). Sustainable management of river oases along the Tarim River in North-Western China under conditions of climate change [20]. Earth System Dynamics, 1221-1273.

Lauf, S., Haase, D. and Kleinschmit, B. (2014). Linkages between ecosystem services provisioning, urban growth and shrinkage – A modeling approach assessing ecosystem service trade-offs [21]. Ecological Indicators, 73–94.

Gärtner, P., Förster, M., Kurban, A. and Kleinschmit, B. (2014). Object based change detection of Central Asian Tugai vegetation withvery high spatial resolution satellite imagery [22]. International Journal of Applied Earth Observation and Geoinformation. Elsevier, 110-121.

Tillack, A., Clasen, A., Kleinschmit, B. and Förster, M. (2014). Estimation of Seasonal Leaf Area Index in an Alluvial Forest Using High Resolution Satellite-based Vegetation Indices [23]. Remote Sensing of Environment, 52-63.

Fassnacht, F., Neumann, C., Förster, M., Buddenbaum, H., Ghosh, A., Clasen, A., Joshi, P. and Koch, B. (2014). Comparison of feature selection algorithms for classifying tree-species with hyperspectral data on three central-european test sites [24]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

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