| Near real-time wildfire progression monitoring with Sentinel-1 SAR time series and deep learning Y Ban, P Zhang, A Nascetti, AR Bevington, MA Wulder Scientific reports 10 (1), 1322, 2020 | 142 | 2020 |
| Monitoring the impact of land cover change on surface urban heat island through Google Earth Engine: Proposal of a global methodology, first applications and problems R Ravanelli, A Nascetti, RV Cirigliano, C Di Rico, G Leuzzi, P Monti, ... Remote Sensing 10 (9), 1488, 2018 | 99 | 2018 |
| Dimensionality reduction and feature selection for object-based land cover classification based on Sentinel-1 and Sentinel-2 time series using Google Earth Engine O Stromann, A Nascetti, O Yousif, Y Ban Remote Sensing 12 (1), 76, 2019 | 90 | 2019 |
| High-resolution SAR radargrammetry: A first application with COSMO-SkyMed spotlight imagery P Capaldo, M Crespi, F Fratarcangeli, A Nascetti, F Pieralice IEEE Geoscience and Remote Sensing Letters 8 (6), 1100-1104, 2011 | 60 | 2011 |
| DSM generation from high resolution imagery: applications with WorldView-1 and Geoeye-1. P Capaldo, M Crespi, F Fratarcangeli, A Nascetti, F Pieralice Italian Journal of Remote Sensing/Rivista Italiana di Telerilevamento 44 (1), 2012 | 52 | 2012 |
| DSM generation from optical and SAR high resolution satellite imagery: Methodology, problems and potentialities AN P Capaldo, M Crespi, F Fratarcangeli Geoscience and Remote Sensing Symposium, 2012. Proceedings. IGARSS 2000 …, 2012 | 43* | 2012 |
| DSM generation from very high optical and radar sensors: problems and potentialities along the road from the 3D geometric modeling to the surface model AN M Crespi, P Capaldo, F Fratarcangeli Geoscience and Remote Sensing Symposium, 2010. IGARSS 3, 2020-2022, 2010 | 43* | 2010 |
| Continuous monitoring of urban land cover change trajectories with landsat time series and landtrendr-google earth engine cloud computing T Mugiraneza, A Nascetti, Y Ban Remote Sensing 12 (18), 2883, 2020 | 34 | 2020 |
| py2DIC: A new free and open source software for displacement and strain measurements in the field of experimental mechanics V Belloni, R Ravanelli, A Nascetti, M Di Rita, D Mattei, M Crespi Sensors 19 (18), 3832, 2019 | 33 | 2019 |
| Learning U-Net without forgetting for near real-time wildfire monitoring by the fusion of SAR and optical time series P Zhang, Y Ban, A Nascetti Remote Sensing of Environment 261, 112467, 2021 | 28 | 2021 |
| Evaluation and comparison of different radargrammetric approaches for Digital Surface Models generation from COSMO-SkyMed, TerraSAR-X, RADARSAT-2 imagery: Analysis of Beauport … P Capaldo, A Nascetti, M Porfiri, F Pieralice, F Fratarcangeli, M Crespi, ... ISPRS Journal of Photogrammetry and Remote Sensing 100, 60-70, 2015 | 28 | 2015 |
| An implicit radar convolutional burn index for burnt area mapping with Sentinel-1 C-band SAR data P Zhang, A Nascetti, Y Ban, M Gong ISPRS Journal of Photogrammetry and Remote Sensing 158, 50-62, 2019 | 26 | 2019 |
| Uni-temporal multispectral imagery for burned area mapping with deep learning X Hu, Y Ban, A Nascetti Remote Sensing 13 (8), 1509, 2021 | 25 | 2021 |
| WorldView-2 data for hierarchical object-based urban land cover classification in kigali: integrating rule-based approach with urban density and greenness indices T Mugiraneza, A Nascetti, Y Ban Remote Sensing 11 (18), 2128, 2019 | 25 | 2019 |
| Monitoring of urbanization and analysis of environmental impact in Stockholm with Sentinel-2A and SPOT-5 multispectral data D Furberg, Y Ban, A Nascetti Remote Sensing 11 (20), 2408, 2019 | 20 | 2019 |
| Digital surface models from ZiYuan-3 triplet: performance evaluation and accuracy assessment F Fratarcangeli, G Murchio, M Di Rita, A Nascetti, P Capaldo International journal of remote sensing 37 (15), 3505-3531, 2016 | 20 | 2016 |
| Sentinel-1 and sentinel-2 data fusion for urban change detection using a dual stream U-net S Hafner, A Nascetti, H Azizpour, Y Ban IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 19 | 2021 |
| Sentinel-2 MSI data for active fire detection in major fire-prone biomes: A multi-criteria approach X Hu, Y Ban, A Nascetti International Journal of Applied Earth Observation and Geoinformation 101 …, 2021 | 18 | 2021 |
| Open source tool for DSMs generation from high resolution optical satellite imagery: development and testing of an OSSIM plug-in M Di Rita, A Nascetti, M Crespi International journal of remote sensing 38 (7), 1788-1808, 2017 | 17 | 2017 |
| Fast terrain modelling for hydrogeological risk mapping and emergency management: the contribution of high-resolution satellite SAR imagery A Nascetti, P Capaldo, M Porfiri, F Pieralice, F Fratarcangeli, L Benenati, ... Geomatics, Natural Hazards and Risk 6 (5-7), 554-582, 2015 | 17 | 2015 |
Mattia CrespiGeodesy and Geomatics Division - DICEA - Sapienza University of RomeVerified email at uniroma1.it
