direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

Zeitschriftenbeiträge

vor >> [7]

2019

Kattenborn, T., Lopatina, J., Förster, M., Braun, A. C. and Fassnacht, F. E. (2019). UAV data as alternative to field sampling to map woody invasive species based on combined Sentinel-1 and Sentinel-2 data [8]. Remote Sensing of Environment, 61-73.


Schulz, C. and Kleinschmit, B. (2019). Zentralasiatische Tugai-Auwälder – Ein gefährdetes Ökosystem [9]. Auenmagazin, 11-17.


2018

Holtgrave, A.-K., Förster, M., Greifeneder, F., Notarnicola, C. and Kleinschmit, B. (2018). Estimation of Soil Moisture in Vegetation-Covered Floodplains with Sentinel-1 SAR Data Using Support Vector Regression [10]. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 85–101.


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 [11]. 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 [12]. 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 [13]. 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 [14]. Frontiers in Ecology and Evolution, 1-16.


2017

Heine, I., Brauer, A., Heim, B., Itzerott, S., Kasprzak, P., Kienel, U. and Kleinschmit, B. (2017). Monitoring of Calcite Precipitation in Hardwater Lakes with Multi-Spectral Remote Sensing Archives [15]. Water, 1-31.


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 [16]. 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 [17]. 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 [18]. 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 [19]. 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 [20]. 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 [21]. 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 [22]. Remote Sensing, 1-22.


vor >> [29]

Nach oben

Fachgebiet Geoinformation in der Umweltplanung
Sekretariat EB5
Raum EB 236a
Straße des 17. Juni 145
D - 10623 Berlin
Tel.: +49 (0)30 314 - 73 29 0
Fax: +49 (0)30 314 - 23 50 7
E-Mail-Anfrage [30]
------ Links: ------

Zusatzinformationen / Extras

Direktzugang

Schnellnavigation zur Seite über Nummerneingabe

Diese Seite verwendet Matomo für anonymisierte Webanalysen. Mehr Informationen und Opt-Out-Möglichkeiten unter Datenschutz.
Copyright TU Berlin 2008