| Assessment of very high spatial resolution satellite image segmentations AP Carleer, O Debeir, E Wolff Photogrammetric Engineering & Remote Sensing 71 (11), 1285-1294, 2005 | 405 | 2005 |
| Geographical random forests: a spatial extension of the random forest algorithm to address spatial heterogeneity in remote sensing and population modelling S Georganos, T Grippa, A Niang Gadiaga, C Linard, M Lennert, ... Geocarto International 36 (2), 121-136, 2021 | 245 | 2021 |
| Very high resolution object-based land use–land cover urban classification using extreme gradient boosting S Georganos, T Grippa, S Vanhuysse, M Lennert, M Shimoni, E Wolff IEEE geoscience and remote sensing letters 15 (4), 607-611, 2018 | 242 | 2018 |
| Exploitation of very high resolution satellite data for tree species identification A Carleer, E Wolff Photogrammetric Engineering & Remote Sensing 70 (1), 135-140, 2004 | 240 | 2004 |
| Less is more: Optimizing classification performance through feature selection in a very-high-resolution remote sensing object-based urban application S Georganos, T Grippa, S Vanhuysse, M Lennert, M Shimoni, S Kalogirou, ... GIScience & remote sensing 55 (2), 221-242, 2018 | 208 | 2018 |
| Urban land cover multi‐level region‐based classification of VHR data by selecting relevant features AP Carleer, E Wolff International Journal of Remote Sensing 27 (6), 1035-1051, 2006 | 199 | 2006 |
| Monitoring grass nutrients and biomass as indicators of rangeland quality and quantity using random forest modelling and WorldView-2 data A Ramoelo, MA Cho, R Mathieu, S Madonsela, R Van De Kerchove, ... International journal of applied earth observation and geoinformation 43, 43-54, 2015 | 196 | 2015 |
| Multi-phenology WorldView-2 imagery improves remote sensing of savannah tree species S Madonsela, MA Cho, R Mathieu, O Mutanga, A Ramoelo, Ż Kaszta, ... International Journal of Applied Earth Observation and Geoinformation 58, 65-73, 2017 | 105 | 2017 |
| Mapping urban land use at street block level using openstreetmap, remote sensing data, and spatial metrics T Grippa, S Georganos, S Zarougui, P Bognounou, E Diboulo, Y Forget, ... ISPRS International Journal of Geo-Information 7 (7), 246, 2018 | 103 | 2018 |
| An open-source semi-automated processing chain for urban object-based classification T Grippa, M Lennert, B Beaumont, S Vanhuysse, N Stephenne, E Wolff Remote Sensing 9 (4), 358, 2017 | 98 | 2017 |
| Textural and contextual land-cover classification using single and multiple classifier systems O Debeir, I Van den Steen, P Latinne, P Van Ham, E Wolff Photogrammetric Engineering and Remote Sensing 68 (6), 597-606, 2002 | 78 | 2002 |
| Using local climate zones in Sub-Saharan Africa to tackle urban health issues O Brousse, S Georganos, M Demuzere, S Vanhuysse, H Wouters, E Wolff, ... Urban climate 27, 227-242, 2019 | 76 | 2019 |
| Seasonal separation of African savanna components using worldview-2 imagery: a comparison of pixel-and object-based approaches and selected classification algorithms Ż Kaszta, R Van De Kerchove, A Ramoelo, MA Cho, S Madonsela, ... Remote Sensing 8 (9), 763, 2016 | 66 | 2016 |
| Segmentation of very high spatial resolution satellite images in urban areas for segments-based classification E Frauman, E Wolff Proceedings for 3rd International Symposium Remote Sensing and Data Fusion …, 2005 | 66 | 2005 |
| Fully convolutional networks and geographic object-based image analysis for the classification of VHR imagery N Mboga, S Georganos, T Grippa, M Lennert, S Vanhuysse, E Wolff Remote Sensing 11 (5), 597, 2019 | 65 | 2019 |
| Comparison of very high spatial resolution satellite image segmentations AP Carleer, O Debeir, E Wolff Image and signal processing for remote sensing IX 5238, 532-542, 2004 | 65 | 2004 |
| Effects of historical urbanization in the Brussels Capital Region on surface air temperature time series: a model study R Hamdi, A Deckmyn, P Termonia, GR Demarée, P Baguis, S Vanhuysse, ... Journal of Applied Meteorology and Climatology 48 (10), 2181-2196, 2009 | 52 | 2009 |
| Extraction of land use/land cover related information from very high resolution data in urban and suburban areas T Van de Voorde, W De Genst, F Canters, N Stephenne, E Wolff, M Binard Remote Sensing in Transition. Proceedings of the 23rd Symposium of the …, 2004 | 50 | 2004 |
| Scale matters: Spatially partitioned unsupervised segmentation parameter optimization for large and heterogeneous satellite images S Georganos, T Grippa, M Lennert, S Vanhuysse, BA Johnson, E Wolff Remote Sensing 10 (9), 1440, 2018 | 45 | 2018 |
| Region-based classification potential for land-cover classification with very high spatial resolution satellite data AP Carleer, E Wolff Proceedings of 1st International Conference on Object-based Image Analysis …, 2006 | 45 | 2006 |
Sabine VanhuysseEarth Observation and Geospatial Information scientist, Department of Geoscience Environment andVerified email at ulb.ac.be
