| Crop type classification using fusion of sentinel-1 and sentinel-2 data: Assessing the impact of feature selection, optical data availability, and parcel sizes on the accuracies A Orynbaikyzy, U Gessner, B Mack, C Conrad Remote sensing 12 (17), 2779, 2020 | 95 | 2020 |
| A semi-automated approach for the generation of a new land use and land cover product for Germany based on Landsat time-series and Lucas in-situ data B Mack, P Leinenkugel, C Kuenzer, S Dech Remote Sensing Letters 8 (3), 244-253, 2017 | 92 | 2017 |
| Optimization of object-based image analysis with random forests for land cover mapping J Stefanski, B Mack, B Waske IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013 | 84 | 2013 |
| Identification of high nature value grassland with remote sensing and minimal field data S Stenzel, FE Fassnacht, B Mack, S Schmidtlein Ecological indicators 74, 28-38, 2017 | 67 | 2017 |
| Remote sensing of scattered Natura 2000 habitats using a one-class classifier S Stenzel, H Feilhauer, B Mack, A Metz, S Schmidtlein International Journal of Applied Earth Observation and Geoinformation 33 …, 2014 | 67 | 2014 |
| Assessing forest cover dynamics and forest perception in the Atlantic Forest of Paraguay, combining remote sensing and household level data E Da Ponte, B Mack, C Wohlfart, O Rodas, M Fleckenstein, N Oppelt, ... Forests 8 (10), 389, 2017 | 63 | 2017 |
| Multi-faceted land cover and land use change analyses in the Yellow River Basin based on dense Landsat time series: Exemplary analysis in mining, agriculture, forest, and urban … C Wohlfart, B Mack, G Liu, C Kuenzer Applied Geography 85, 73-88, 2017 | 63 | 2017 |
| Can i trust my one-class classification? B Mack, R Roscher, B Waske Remote Sensing 6 (9), 8779-8802, 2014 | 58 | 2014 |
| Invasive tree species detection in the Eastern Arc Mountains biodiversity hotspot using one class classification R Piiroinen, FE Fassnacht, J Heiskanen, E Maeda, B Mack, P Pellikka Remote sensing of environment 218, 119-131, 2018 | 56 | 2018 |
| Mapping raised bogs with an iterative one-class classification approach B Mack, R Roscher, S Stenzel, H Feilhauer, S Schmidtlein, B Waske ISPRS Journal of Photogrammetry and Remote Sensing 120, 53-64, 2016 | 48 | 2016 |
| In-depth comparisons of MaxEnt, biased SVM and one-class SVM for one-class classification of remote sensing data B Mack, B Waske Remote sensing letters 8 (3), 290-299, 2017 | 45 | 2017 |
| The potential of open geodata for automated large-scale land use and land cover classification P Leinenkugel, R Deck, J Huth, M Ottinger, B Mack Remote Sensing 11 (19), 2249, 2019 | 44 | 2019 |
| Combining fractional cover images with one-class classifiers enables near real-time monitoring of fallows in the Northern Grains region of Australia L Zhao, F Waldner, P Scarth, B Mack, Z Hochman Remote Sensing 12 (8), 1337, 2020 | 6 | 2020 |
| Applied one-class classification of remote sensing data BM Mack | 3 | 2017 |
| Optimizing support vector data description by automatically generating outliers B Mack, B Waske EARSeL 7th SIG-Imaging Spectroscopy Workshop, Edinburgh, 2011 | 3 | 2011 |
| Crop Mapping for a Future Copernicus Agricultural Service L Moser, G Ramminger, M Probeck, C Rieke, B Mack, C Storch, ... IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 1 | 2018 |
| Earth Observation Time Series for Global Environmental Change C Künzer, K Clauss, A Dietz, P Leinenkugel, B Mack, I Klein, U Gessner, ... | | 2016 |
| Mapping paddy rice in Asia: a multi-sensor, time-series approach. K Clauss, B Mack, S Dech, C Künzer | | 2016 |
| Pan-European Land Cover Classification with Landsat Data–Preliminary Results B Mack, P Leinenkugel, J Huth, U Gessner, C Künzer Proceedings of the 36th Annual EARSeL Symposium, 137-138, 2016 | | 2016 |
| A full Automated Approach for the Generation and Analysis of Land Use and Land Cover Based on High Resolution Satellite Timeseries B Mack, P Leinenkugel, C Künzer | | 2016 |
Claudia KuenzerProfessor and Head of Department 'Land Surface Dynamics', German Aerospace Center (DLR)E-mailová adresa ověřena na: dlr.de
