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Klinke, R., Kuechly, H., Frick, A., Förster, M., Schmidt, T., Holtgrave, A.-K. a. K. B., Spengler, D. and Neumann, C. (2018). Indicator-Based Soil Moisture Monitoring ofWetlands by Utilizing Sentinel and Landsat Remote Sensing Data [10]. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 71–84.

Heuner, M., Schröder, B., Schröder, U. and Kleinschmit, B. (2018). Contrasting elevational responses of regularly flooded 4 marsh plants in navigable estuaries [11]. Ecohydrology & Hydrobiology, 1-17.

Luan, X., Buyantuev, A., Baur, A. H., Kleinschmit, B., Wang, H., Wei, S., Liu, M. and Xu, C. (2018). Linking greenhouse gas emissions to urban landscape structure: the relevance of spatial and thematic resolutions of land use/cover data [12]. Landscape Ecology, 1211–1224.

Gras, P., Knuth, S., Börner, K., Marescot, L., Benhaiem, S., Aue, A., Wittstatt, U., Kleinschmit, B. and Kramer-Schadt, S. (2018). Landscape Structures Affect Risk of Canine Distemper in Urban Wildlife [13]. Frontiers in Ecology and Evolution, 1-16.


Koch, R., Almeida-Cortezb, J. S. and Kleinschmit, B. (2017). Revealing areas of high nature conservation importance in aseasonally dry tropical forest in Brazil: Combination of modelled plantdiversity hot spots and threat patterns [14]. Journal for Nature Conservation. Elsevier, 24-39.

Georgi, C., Spengler, D., Itzerott, S. and Kleinschmit (2017). Automatic delineation algorithm for site-specific management zones based on satellite remote sensing data [15]. Precision Agriculture

Möller, M., Gerstmann, H., Gao, F., Dahms, T. C. and Förster, M. (2017). Coupling of phenological information and simulated vegetation index time series: Limitations and potentials for the assessment and monitoring of soil erosion risk [16]. Catena, 192-205.

Neumann, C., Itzerott, S., Weiss, G., Kleinschmit, B. and Schmidtlein, S. (2017). Mapping multiple plant species abundance patterns - A multiobjective optimization procedure for combining reflectance spectroscopy and species ordination [17]. Ecological Informatics. Elsevier, 61-76.

Ayazli, I. E., Kilic, F., Lauf, S., Kleinschmit, B. and Demir, H. (2017). Creating urban growth simulation models driven by the bosphorus bridges [18]. Fresenius Environmental Bulletin, 113-117.

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 [19]. 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 [20]. 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 [21]. 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 [22]. 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) [23]. Journal of Arid Environments, 54-74.


Golovko, D., Roessner, S., Behling, R. and Kleinschmit, B. (2016). Automated derivation and spatio-temporal analysis of landslide properties in southern Kyrgyzstan [24]. Natural Hazards. Springer, 1-28.

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