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Carmine Maffei
Carmine Maffei
MedITech Competence Center I4.0
Verified email at meditech4.com - Homepage
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Cited by
Cited by
Year
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
702007
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
662020
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
44*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
402019
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
342018
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
212020
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
202021
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
182014
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
132016
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
102008
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
9*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
82013
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
72007
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
42004
An application of the Perpendicular Moisture Index for the prediction of fire hazard
C Maffei, M Menenti
EARSeL eProceedings 13 (1), 13-19, 2014
32014
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
22015
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
22015
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
22006
Remote sensing-based prediction of forest fire characteristics
C Maffei
12022
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