| Detecting Burn Severity across Mediterranean Forest Types by Coupling Medium-Spatial Resolution Satellite Imagery and Field Data L Saulino, A Rita, A Migliozzi, C Maffei, E Allevato, AP Garonna, ... Remote Sensing 12 (4), 741, 2020 | 72 | 2020 |
| A field experiment on spectrometry of crop response to soil salinity AP Leone, M Menenti, A Buondonno, A Letizia, C Maffei, G Sorrentino Agricultural Water Management 89 (1-2), 39-48, 2007 | 72 | 2007 |
| Relating Spatiotemporal Patterns of Forest Fires Burned Area and Duration to Diurnal Land Surface Temperature Anomalies C Maffei, S Alfieri, M Menenti Remote Sensing 10 (11), 1777, 2018 | 50* | 2018 |
| Predicting forest fires burned area and rate of spread from pre-fire multispectral satellite measurements C Maffei, M Menenti ISPRS Journal of Photogrammetry and Remote Sensing 158, 263-278, 2019 | 48 | 2019 |
| Applying Independent Component Analysis on Sentinel-2 Imagery to Characterize Geomorphological Responses to an Extreme Flood Event near the Non-Vegetated Río Colorado Terminus … J Li, X Yang, C Maffei, S Tooth, G Yao Remote Sensing 10 (5), 725, 2018 | 35 | 2018 |
| Digital Elevation Models for topographic characterisation and flood flow modelling along low-gradient, terminal dryland rivers: A comparison of spaceborne datasets for the Río … J Li, Y Zhao, P Bates, J Neal, S Tooth, L Hawker, C Maffei Journal of Hydrology 591, 125617, 2020 | 31 | 2020 |
| Combining multi-spectral and thermal remote sensing to predict forest fire characteristics C Maffei, R Lindenbergh, M Menenti ISPRS Journal of Photogrammetry and Remote Sensing 181, 400-412, 2021 | 26 | 2021 |
| A MODIS-based perpendicular moisture index to retrieve leaf moisture content of forest canopies C Maffei, M Menenti International Journal of Remote Sensing 35 (5), 1829-1845, 2014 | 20 | 2014 |
| Observing the response of terrestrial vegetation to climate variability across a range of time scales by time series analysis of land surface temperature M Menenti, HRG Malamiri, H Shang, SM Alfieri, C Maffei, L Jia Multitemporal Remote Sensing: Methods and Applications, 277-315, 2016 | 17 | 2016 |
| Prediction of Soil Properties with VIS-NIR-SWIR Reflectance Spectroscopy and Artificial Neural Networks: A Case Study on three Pedoenvironments of the Campania Region, Italy AP Leone, G Calabrò, E Coppola, C Maffei, M Menenti, M Tosca, M Vella, ... Advances in GeoEcology 39, 689-702, 2008 | 11 | 2008 |
| Time series of land surface temperature from daily MODIS measurements for the prediction of fire hazard C Maffei, S Alfieri, M Menenti Parte: http://hdl. handle. net/10316.2/34013, 2014 | 10* | 2014 |
| The MODIS: based perpendicular moisture index as a tool for mapping fire hazard: indirect validation in three areas of the Mediterranean C Maffei, L Bonora, F Maselli, A Mangiavillano, M Menenti Parte: http://hdl. handle. net/10316.2/34013, 2014 | 8* | 2014 |
| Characterising fire hazard from temporal sequences of thermal infrared MODIS measurements C Maffei, S Alfieri, M Menenti EARSeL eProceedings 12 (1), 1-7, 2013 | 8 | 2013 |
| Retrieval of vegetation moisture indicators for dynamic fire risk assessment with simulated MODIS radiance C Maffei, AP Leone, M Vella, G Meoli, M Tosca, M Menenti 2007 IEEE International Geoscience and Remote Sensing Symposium, 4648-4651, 2007 | 7 | 2007 |
| Multi-angular hyperspectral observations of Mediterranean forest with PROBA–CHRIS M Menenti, F Maselli, M Chiesi, R Benedetti, S Cristofori, D Guzzi, ... Imaging Spectrometry X 5546, 204-212, 2004 | 5 | 2004 |
| An application of the Perpendicular Moisture Index for the prediction of fire hazard C Maffei, M Menenti EARSeL eProceedings 13 (1), 13-19, 2014 | 3 | 2014 |
| Combination of LANDSAT and EROS-B satellite images with GPS and LiDAR data for land monitoring. A case study: The Sant'Arcangelo Trimonte dump P Addabbo, M di Bisceglie, M Focareta, C Galdi, C Maffei, SL Ullo 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 2 | 2015 |
| Integration of satellite observations and ground-based measurements for landfill monitoring P Addabbo, M di Bisceglie, M Focareta, C Maffei, SL Ullo Metrology for Aerospace (MetroAeroSpace), 2015 IEEE, 411-415, 2015 | 2 | 2015 |
| The use of MODIS-simulated spectral bands for monitoring plant water stress as a help for dynamic fire risk assessment C Maffei, AP Leone, M Vella, G Meoli, M Menenti Remote Sensing, 63590Q-63590Q-10, 2006 | 2 | 2006 |
| Remote sensing-based prediction of forest fire characteristics C Maffei | 1 | 2022 |
Massimo MenentiTU DelftAdresse e-mail validée de tudelft.nl
