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Förster, M. and Frick, A. (2015). Fernerkundung als Hilfe im Naturschutz - Aktuelle Sensoren und Methoden angewandt auf Großschutzgebiete in Brandenburg [9]. 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 [10]. 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 [11]. 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 [12]. 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? [13]. 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 [14]. 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 [15]. 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 [16]. 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 [17]. 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 [18]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Rannow, S., Macgregor, N., Albrecht, J., Förster, M., Heiland, S., Janauer, G., Morecroft, M., Neubert, M., Sarbu, A. and Sienkiewicz, J. (2014). Managing Protected Areas under Climate Change - challenges and priorities [19]. Environmental Management, 732-743.

Suchenwirth, L., Stümer, W., Schmidt, T., Förster, M. and Kleinschmit, B. (2014). Large-scale mapping of carbon stocks in riparian forests with self-organizing maps and the k-nearest-neighbor algorithm [20]. Forests, 1635-1652.

Rannow, S. and Förster, M. (2014). Managing Protected Areas under Climate Change - Diverse Management for Biodiversity [21]. Environmental Management, 669-670.

Förster, M. and Kleinschmit, B. (2014). Significance Analysis of Different Types of Ancillary Geodata Utilized in a Multisource Classification Process for Forest Identification in Germany [22]. IEEE Transactions on Geoscience and Remote Sensing, 3453-3463.


Marquard, E., Dauber, J., Doerpinghaus, A., Dröschmeister, R., Frommer, J., Frommolt, K.-H., Gemeinholzer, B., Henle, K., Hillebrand, H., Kleinschmit, B., Klotz, S., Kraft, D., Premke-Kraus, M., Römbke, J., Vohland, K. and Wägele, W. (2013). Biodiversitätsmonitoring in Deutschland: Herausforderungen für Politik, Forschung und Umsetzung [23]. Natur und Landschaft, 337-341.

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