| A multi-scale hierarchical framework for developing understanding of river behaviour to support river management AM Gurnell, M Rinaldi, B Belletti, S Bizzi, B Blamauer, G Braca, AD Buijse, ... Aquatic sciences 78, 1-16, 2016 | 252 | 2016 |
| The use of remote sensing to characterise hydromorphological properties of European rivers S Bizzi, L Demarchi, RC Grabowski, CJ Weissteiner, W Van de Bund Aquatic sciences 78, 57-70, 2016 | 122 | 2016 |
| Hierarchical object-based mapping of riverscape units and in-stream mesohabitats using LiDAR and VHR imagery L Demarchi, S Bizzi, H Piégay Remote Sensing 8 (2), 97, 2016 | 86 | 2016 |
| Assessing the performance of two unsupervised dimensionality reduction techniques on hyperspectral APEX data for high resolution urban land-cover mapping L Demarchi, F Canters, C Cariou, G Licciardi, JCW Chan ISPRS Journal of Photogrammetry and Remote Sensing 87, 166-179, 2014 | 72 | 2014 |
| Multiple endmember unmixing of CHRIS/Proba imagery for mapping impervious surfaces in urban and suburban environments L Demarchi, F Canters, JCW Chan, T Van de Voorde IEEE Transactions on Geoscience and Remote Sensing 50 (9), 3409-3424, 2012 | 54 | 2012 |
| Regional hydromorphological characterization with continuous and automated remote sensing analysis based on VHR imagery and low‐resolution LiDAR data L Demarchi, S Bizzi, H Piégay Earth Surface Processes and Landforms 42 (3), 531-551, 2017 | 53 | 2017 |
| Recursive feature elimination and random forest classification of natura 2000 grasslands in lowland river valleys of poland based on airborne hyperspectral and LiDAR data fusion L Demarchi, A Kania, W Ciężkowski, H Piórkowski, Z Oświecimska-Piasko, ... Remote Sensing 12 (11), 1842, 2020 | 49 | 2020 |
| LiDAR‐based fluvial remote sensing to assess 50–100‐year human‐driven channel changes at a regional level: The case of the Piedmont Region, Italy S Bizzi, H Piégay, L Demarchi, W Van de Bund, CJ Weissteiner, F Gob Earth Surface Processes and Landforms 44 (2), 471-489, 2019 | 44 | 2019 |
| A hierarchical multi-scale framework and indicators of hydromorphological processes and forms AM Gurnell, M Bussettini, B Camenen, M González Del Tánago, ... European Commission within the 7th Framework Programme, 2014 | 42 | 2014 |
| Impact of urban land-cover classification on groundwater recharge uncertainty EM Ampe, I Vanhamel, E Salvadore, J Dams, I Bashir, L Demarchi, ... IEEE Journal of selected topics in applied earth observations and remote …, 2012 | 42 | 2012 |
| Learning coordinated traffic light control TT Pham, T Brys, ME Taylor, T Brys, MM Drugan, PA Bosman, MD Cock, ... Proceedings of the Adaptive and Learning Agents workshop (at AAMAS-13) 10 …, 2013 | 35 | 2013 |
| Mapping impervious surfaces from superresolution enhanced CHRIS/Proba imagery using multiple endmember unmixing L Demarchi, JCW Chan, J Ma, F Canters ISPRS Journal of Photogrammetry and Remote sensing 72, 99-112, 2012 | 26 | 2012 |
| Object-based ensemble learning for pan-european riverscape units mapping based on copernicus VHR and EU-DEM data fusion L Demarchi, W van de Bund, A Pistocchi Remote Sensing 12 (7), 1222, 2020 | 23 | 2020 |
| Bathymetric mapping of shallow rivers with UAV hyperspectral data V Gentile, M Mrόz, M Spitoni, J Lejot, H Piégay, L Demarchi Fifth International Conference on Telecommunications and Remote Sensing 1, 43-49, 2016 | 21 | 2016 |
| Chorma nski, J L Demarchi, A Kania, W Ciezkowski, H Piórkowski, Z Oswiecimska-Piasko Recursive feature elimination and random forest classification of natura, 2000 | 20 | 2000 |
| Multi-source remote sensing recognition of plant communities at the reach scale of the Vistula River, Poland AR da Silva, L Demarchi, D Sikorska, P Sikorski, P Archiciński, J Jóźwiak, ... Ecological Indicators 142, 109160, 2022 | 9 | 2022 |
| Binary classification strategies for mapping urban land cover with ensemble classifiers JCW Chan, L Demarchi, T Van de Voorde, F Canters IGARSS 2008-2008 IEEE International Geoscience and Remote Sensing Symposium …, 2008 | 8 | 2008 |
| Mapping sealed surfaces from CHRIS/Proba data: a multiple endmember unmixing approach L Demarchi, F Canters, JCW Chan, T Van de Voorde 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2010 | 6 | 2010 |
| Use of superresolution enhanced CHRIS/Proba images for land-cover classification and spectral unmixing J Ma, L Demarchi, T Van de Voorde, F Canters | 5 | 2009 |
| Multi-temporal spectral unmixing to characterise change in the urban spatial structure of the Greater Dublin area T Van de Voorde, L Demarchi, F Canters 28th EARSeL Symposium and Workshops: Remote Sensing for a Changing Europe, 2-5, 2009 | 5 | 2009 |
Simone BizziUniversity of Padova, Department of geosciencesZweryfikowany adres z unipd.it
