| Normalized Difference Flood Index for rapid flood mapping: Taking advantage of EO big data F Cian, M Marconcini, P Ceccato Remote Sensing of Environment 209, 712-730, 2018 | 223 | 2018 |
| Sentinel-1 for monitoring land subsidence of coastal cities in Africa using PSInSAR: A methodology based on the integration of SNAP and staMPS F Cian, JMD Blasco, L Carrera Geosciences 9 (3), 124, 2019 | 102 | 2019 |
| Flood depth estimation by means of high-resolution SAR images and lidar data F Cian, M Marconcini, P Ceccato, C Giupponi Natural Hazards and Earth System Sciences 18 (11), 3063-3084, 2018 | 82 | 2018 |
| Multiform flood risk in a rapidly changing world: what we do not do, what we should and why it matters A Kruczkiewicz, F Cian, I Monasterolo, G Di Baldassarre, A Caldas, ... Environmental Research Letters 17 (8), 081001, 2022 | 28 | 2022 |
| Integration of earth observation and census data for mapping a multi-temporal flood vulnerability index: a case study on Northeast Italy F Cian, C Giupponi, M Marconcini Natural Hazards 106, 2163-2184, 2021 | 22 | 2021 |
| Combining LULC data and agricultural statistics for A better identification and mapping of High nature value farmland: A case study in the veneto Plain, Italy M Bonato, F Cian, C Giupponi Land Use Policy 83, 488-504, 2019 | 16 | 2019 |
| Integrated modelling of social-ecological systems for climate change adaptation C Giupponi, AG Ausseil, S Balbi, F Cian, A Fekete, AK Gain, ... Socio-Environmental Systems Modelling 3, 2022 | 10 | 2022 |
| Mapping and quantifying the human-environment interactions in middle Egypt using machine learning and satellite data fusion techniques JM Delgado Blasco, F Cian, RF Hanssen, G Verstraeten Remote Sensing 12 (3), 584, 2020 | 9 | 2020 |
| Leveraging global and local data sources for flood hazard assessment and mitigation: An application of machine learning to Manila M Haraguchi, F Cian, U Lall Contributing Paper to the, 1-39, 2019 | 3 | 2019 |
| Subsidence Determination in the city of Valencia and its surroundings using radar interferometry JM Delgado, F Cian, AB Ruescas, F Sarti, M Datcu, R Capilla The 3rd International Symposium on Recent Advances in Quantitative Remote …, 2010 | 2 | 2010 |
| Improving rapid flood impact assessment: An enhanced multi-sensor approach including a new flood mapping method based on Sentinel-2 data F Cian, JMD Blasco, C Ivanescu Journal of Environmental Management 369, 122326, 2024 | 1 | 2024 |
| Sentinel-1 and 2 data fusion for land management and disaster risk assessment F Cian, JM Delgado, M Marconcini, G Rivolta, C Giupponi | 1 | 2016 |
| Preparing for Floods in Manila, the Philippines Using a Machine Learning Technique-Making Global Satellite Data Locally Applicable M Haraguchi, F Cian, U Lall AGU Fall Meeting Abstracts 2018, H43G-2511, 2018 | | 2018 |
| Designing Financial Instruments for Rapid Flood Response Using Remote Sensed and Archival Hazard and Exposure Information U Lall, M Allaire, P Ceccato, M Haraguchi, F Cian, A Bavandi AGU Fall Meeting Abstracts 2017, NH24A-03, 2017 | | 2017 |
| Social vulnerability and flood risk assessment using satellite remote sensing: a support for decision making in a changing climate scenario F Cian Università Ca'Foscari Venezia, 2017 | | 2017 |
| A flood index based on EO big data for an improved flood mapping, depth estimation and impact assessment in a changing climate F Cian, M Marconcini | | 2016 |
| Ka-InSAR: Application and System Requirement Analysis Report T Börner, F López Dekker, F Cian, S Kuntz Deutsches Zentrum für Luft-und Raumfahrt eV (DLR), Institut für …, 2011 | | 2011 |
| Subsidence determination in the city of Valencia and its surroundings using RADAR interferometry JMD Blasco, F Cian, AB Ruescas, F Sarti, M Datcu, R Capilla International Symposium on Recent Advances in Quantitative remote Sensing …, 2010 | | 2010 |
| Mediterraneo Foriero RR Mangini, E Zatta, S Antoniadis, S Baggio, M Basso, E Bassolino, ... | | |
| Piano C RR Mangini, E Zatta, S Antoniadis, S Baggio, M Basso, E Bassolino, ... | | |
Mattia MarconciniGerman Aerospace Center - DLRΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα dlr.de
