Stefano Pignatti
Stefano Pignatti
Researcher, CNR IMAA
Email verificata su imaa.cnr.it
Titolo
Citata da
Citata da
Anno
Evaluating Hyperion capability for land cover mapping in a fragmented ecosystem: Pollino National Park, Italy
S Pignatti, RM Cavalli, V Cuomo, L Fusilli, S Pascucci, M Poscolieri, ...
Remote Sensing of Environment 113 (3), 622-634, 2009
1092009
Evaluation of the potential of the current and forthcoming multispectral and hyperspectral imagers to estimate soil texture and organic carbon
F Castaldi, A Palombo, F Santini, S Pascucci, S Pignatti, R Casa
Remote Sensing of Environment 179, 54-65, 2016
1082016
Deterioration status of asbestos-cement roofing sheets assessed by analyzing hyperspectral data
C Bassani, RM Cavalli, F Cavalcante, V Cuomo, A Palombo, S Pascucci, ...
Remote Sensing of Environment 109 (3), 361-378, 2007
982007
Vegetation indices combining the red and red-edge spectral information for leaf area index retrieval
Q Xie, J Dash, W Huang, D Peng, Q Qin, H Mortimer, R Casa, S Pignatti, ...
IEEE Journal of selected topics in applied earth observations and remote …, 2018
772018
Remote hyperspectral imagery as a support to archaeological prospection
RM Cavalli, F Colosi, A Palombo, S Pignatti, M Poscolieri
Journal of Cultural Heritage 8 (3), 272-283, 2007
762007
A two-step optimization procedure for assessing water constituent concentrations by hyperspectral remote sensing techniques: An application to the highly turbid Venice lagoon …
F Santini, L Alberotanza, RM Cavalli, S Pignatti
Remote Sensing of Environment 114 (4), 887-898, 2010
722010
Remote sensing water observation for supporting Lake Victoria weed management
RM Cavalli, G Laneve, L Fusilli, S Pignatti, F Santini
Journal of environmental management 90 (7), 2199-2211, 2009
722009
A comparison of sensor resolution and calibration strategies for soil texture estimation from hyperspectral remote sensing
R Casa, F Castaldi, S Pascucci, A Palombo, S Pignatti
Geoderma 197, 17-26, 2013
662013
Wheat lodging monitoring using polarimetric index from RADARSAT-2 data
H Yang, E Chen, Z Li, C Zhao, G Yang, S Pignatti, R Casa, L Zhao
International Journal of Applied Earth Observation and Geoinformation 34 …, 2015
652015
The PRISMA hyperspectral mission: Science activities and opportunities for agriculture and land monitoring
S Pignatti, A Palombo, S Pascucci, F Romano, F Santini, T Simoniello, ...
2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, 4558 …, 2013
602013
Hyperspectral sensor data capability for retrieving complex urban land cover in comparison with multispectral data: Venice city case study (Italy)
RM Cavalli, L Fusilli, S Pascucci, S Pignatti, F Santini
Sensors 8 (5), 3299-3320, 2008
602008
Transport infrastructure surveillance and monitoring by electromagnetic sensing: the ISTIMES project
M Proto, M Bavusi, R Bernini, L Bigagli, M Bost, F Bourquin, LM Cottineau, ...
Sensors 10 (12), 10620-10639, 2010
552010
Experimental approach to the selection of the components in the minimum noise fraction
U Amato, RM Cavalli, A Palombo, S Pignatti, F Santini
IEEE Transactions on Geoscience and Remote Sensing 47 (1), 153-160, 2008
532008
Hyperspectral remote sensing data to map hazardous materials in a rural and industrial district: The Podgorica dwellings case studies
RM Cavalli, S Pascucci, S Pignatti
2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution …, 2009
492009
Airborne hyperspectral remote sensing in Italy
R Bianchi, CM Marino, S Pignatti
Satellite Remote Sensing, Proc. SPIE. 2318, Recent Advances in Remote …, 1994
481994
Chlorophyll estimation in field crops: an assessment of handheld leaf meters and spectral reflectance measurements
R Casa, F Castaldi, S Pascucci, S Pignatti
Journal of Agricultural Science 153, 876–890, 2015
462015
A comparison of hybrid machine learning algorithms for the retrieval of wheat biophysical variables from sentinel-2
D Upreti, W Huang, W Kong, S Pascucci, S Pignatti, X Zhou, H Ye, R Casa
Remote Sensing 11 (5), 481, 2019
432019
Estimating wheat yield in China at the field and district scale from the assimilation of satellite data into the Aquacrop and simple algorithm for yield (SAFY) models
PC Silvestro, S Pignatti, S Pascucci, H Yang, Z Li, G Yang, W Huang, ...
Remote Sensing 9 (5), 509, 2017
392017
Geophysical and hyperspectral data fusion techniques for in-field estimation of soil properties
R Casa, F Castaldi, S Pascucci, B Basso, S Pignatti
Vadose Zone Journal 12 (4), 2013
382013
Downstream services for rice crop monitoring in Europe: From regional to local scale
L Busetto, S Casteleyn, C Granell, M Pepe, M Barbieri, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
372017
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