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2017

Moran, N., Nieland, S., Tintrup gen. Suntrup, G. and Kleinschmit, B. (2017). Combining machine learning and ontological data handling for multi-source classification of nature conservation areas [9]. International Journal of Applied Earth Observation and Geoinformation, 124–133.


Golovko, D., Roessner, S., Behling, R., Wetzel, H.-U. and Kleinschmit, B. (2017). Evaluation of Remote-Sensing-Based Landslide Inventories for Hazard Assessment in Southern Kyrgyzstan [10]. Remote Sensing, 1-22.


Marx, A. and Kleinschmit, B. (2017). Sensitivity analysis of RapidEye spectral bands and derived vegetation indices for insect defoliation detection in pure Scots pine stands [11]. iForest Biogeosciences and Forestry, 659-668.


Schmidt, J., Fassnacht, F. E., Neff, C., Lausch, A., Kleinschmit, B., Förster, M. and Schmidtlein, S. (2017). Adapting a Natura 2000 field guideline for a remote sensing-based assessment of heathland conservation status [12]. International Journal of Applied Earth Observation and Geoinformation, 61-71.


Schulz, C., Koch, R., Cierjacks, A. and Kleinschmit, B. (2017). Land change and loss of landscape diversity at the Caatinga phytogeographical domain e Analysis of pattern-process relationships with MODIS land cover products (2001-2012) [13]. Journal of Arid Environments, 54-74.


2016

Golovko, D., Roessner, S., Behling, R. and Kleinschmit, B. (2016). Automated derivation and spatio-temporal analysis of landslide properties in southern Kyrgyzstan [14]. Natural Hazards. Springer, 1-28.


Ward, K., Lauf, S., Kleinschmit, B. and Endlicher, W. (2016). Heat waves and urban heat islands in Europe: A review of relevant drivers [15]. Science of the Total Environment, 527–539.


Lauf, S., Haase, D. and Kleinschmit, B. (2016). The effects of growth, shrinkage, population aging and preference shifts on urban development—A spatial scenario analysis of Berlin, Germany [16]. Land Use Policy. Elsevier B.V., 240-254.


Gärtner, P., Förster, M. and Kleinschmit, B. (2016). The benefit of synthetically generated RapidEye and Landsat 8 data fusion time series for riparian forest disturbance monitoring [17]. Remote Sensing of Environment. Elsevier, 237-247.


Ting, N., Kurban, A., Ablekim, A., Gärtner, P., Kleinschmit, B., Haiwen, L. and Ilniyaz, O. (2016). Appropriate Sampling Quantity for Detecting Physiological Characteristic of Populus Euphratica Oliv. Leaves [18]. Journal of Anhui Agricultural Sciences, 9-11.


Behling, R., Roessner, S., Golovko, D. and Kleinschmit, B. (2016). Derivation of long-term spatiotemporal landslide activity—A multi-sensor time series approach. [19]. Remote Sensing of Environment, 88-104.


Neumann, C., Förster, M., Kleinschmit, B. and Itzerott, S. (2016). Utilizing a PLSR-Based Band-Selection Procedure for Spectral Feature Characterization of Floristic Gradients [20]. EEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1-15.


Heuner, M., Weber, A., Schröder, U., Kleinschmit, B. and Schröder, B. (2016). Facilitating political decisions using species distribution models to assess restoration measures in heavily modified estuaries. [21]. Marine pollution bulletin, 250-260.


Graf-Rosenfellner, M., Cierjacks, A., Kleinschmit, B. and Lang, F. (2016). Soil formation and its implications for stabilization of soil organic matter in the riparian zone [22]. Catena, 9-18.


Neumann, C., Itzerott, S., Weiss, G., Kleinschmit, B. and Schmidtlein, S. (2016). Mapping multiple plant species abundance patterns - A multiobjective optimization procedure for combining reflectance spectroscopy and species ordination [23]. Ecological Informatics, 61–76.


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