Obserwuj
Carmine Maffei
Carmine Maffei
MedITech Competence Center I4.0
Zweryfikowany adres z meditech4.com - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
632007
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
402020
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
272019
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
27*2018
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
262018
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
172014
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
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
122020
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
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
72004
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
62021
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
6*2014
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
6*2014
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
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
Characterising fire hazard from temporal sequences of thermal infrared MODIS measurements
C Maffei, S Alfieri, M Menenti
EARSeL eProceedings 12 (1), 1-7, 2013
22013
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
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
12015
The potential of remote sensing measurements of canopy reflectance for the evaluation of live fuel moisture content and fire hazard mapping
C Maffei, M Menenti
Modelling Fire Behaviour and Risk, 9, 2012
12012
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20