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Alessandro Matese
Alessandro Matese
CNR-IBE (Institute of Bioeconomy - National Research Council)
Verified email at cnr.it
Title
Cited by
Cited by
Year
Intercomparison of UAV, aircraft and satellite remote sensing platforms for precision viticulture
A Matese, P Toscano, SF Di Gennaro, L Genesio, FP Vaccari, J Primicerio, ...
Remote sensing 7 (3), 2971-2990, 2015
8062015
A flexible unmanned aerial vehicle for precision agriculture
J Primicerio, SF Di Gennaro, E Fiorillo, L Genesio, E Lugato, A Matese, ...
Precision Agriculture 13 (4), 517-523, 2012
5362012
Forestry applications of UAVs in Europe: A review
C Torresan, A Berton, F Carotenuto, SF Di Gennaro, B Gioli, A Matese, ...
International journal of remote sensing 38 (8-10), 2427-2447, 2017
5322017
High-resolution UAV-based thermal imaging to estimate the instantaneous and seasonal variability of plant water status within a vineyard
LG Santesteban, SF Di Gennaro, A Herrero-Langreo, C Miranda, JB Royo, ...
Agricultural Water Management 183, 49-59, 2017
3022017
Technology in precision viticulture: A state of the art review
A Matese, S Filippo Di Gennaro
International journal of wine research, 69-81, 2015
2512015
A wireless sensor network for precision viticulture: The NAV system
A Matese, SF Di Gennaro, A Zaldei, L Genesio, FP Vaccari
Computers and electronics in agriculture 69 (1), 51-58, 2009
2042009
Practical applications of a multisensor UAV platform based on multispectral, thermal and RGB high resolution images in precision viticulture
A Matese, SF Di Gennaro
Agriculture 8 (7), 116, 2018
1682018
Unmanned Aerial Vehicle (UAV)-based remote sensing to monitor grapevine leaf stripe disease within a vineyard affected by esca complex
SF Di Gennaro, E Battiston, S Di Marco, O Facini, A Matese, M Nocentini, ...
Phytopathologia Mediterranea, 262-275, 2016
1492016
Estimation of water stress in grapevines using proximal and remote sensing methods
A Matese, R Baraldi, A Berton, C Cesaraccio, SF Di Gennaro, P Duce, ...
Remote Sensing 10 (1), 114, 2018
1472018
Assessment of a canopy height model (CHM) in a vineyard using UAV-based multispectral imaging
A Matese, SF Di Gennaro, A Berton
International Journal of Remote Sensing 38 (8-10), 2150-2160, 2017
1332017
Methane and carbon dioxide fluxes and source partitioning in urban areas: The case study of Florence, Italy
B Gioli, P Toscano, E Lugato, A Matese, F Miglietta, A Zaldei, FP Vaccari
Environmental Pollution 164, 125-131, 2012
1222012
Development of Low-Cost Air Quality Stations for Next Generation Monitoring Networks: Calibration and Validation of PM2.5 and PM10 Sensors
A Cavaliere, F Carotenuto, F Di Gennaro, B Gioli, G Gualtieri, F Martelli, ...
Sensors 18 (9), 2843, 2018
1112018
Recent advances in Unmanned Aerial Vehicles forest remote sensing—A systematic review. Part II: Research applications
R Dainelli, P Toscano, SF Di Gennaro, A Matese
Forests 12 (4), 397, 2021
1042021
Recent advances in unmanned aerial vehicle forest remote sensing—A systematic review. Part I: A general framework
R Dainelli, P Toscano, SF Di Gennaro, A Matese
Forests 12 (3), 327, 2021
972021
A precision agriculture approach for durum wheat yield assessment using remote sensing data and yield mapping
P Toscano, A Castrignanò, SF Di Gennaro, AV Vonella, D Ventrella, ...
Agronomy 9 (8), 437, 2019
952019
Carbon dioxide emissions of the city center of Firenze, Italy: measurement, evaluation, and source partitioning
A Matese, B Gioli, FP Vaccari, A Zaldei, F Miglietta
Journal of Applied Meteorology and Climatology 48 (9), 1940-1947, 2009
952009
A low-cost and unsupervised image recognition methodology for yield estimation in a vineyard
SF Di Gennaro, P Toscano, P Cinat, A Berton, A Matese
Frontiers in plant science 10, 559, 2019
912019
Retrieving soil moisture in rainfed and irrigated fields using Sentinel-2 observations and a modified OPTRAM approach
M Ambrosone, A Matese, SF Di Gennaro, B Gioli, M Tudoroiu, L Genesio, ...
International journal of applied earth observation and geoinformation 89, 102113, 2020
722020
Sentinel-2 validation for spatial variability assessment in overhead trellis system viticulture versus UAV and agronomic data
SF Di Gennaro, R Dainelli, A Palliotti, P Toscano, A Matese
Remote Sensing 11 (21), 2573, 2019
682019
Multisensor approach to assess vineyard thermal dynamics combining high-resolution unmanned aerial vehicle (UAV) remote sensing and wireless sensor network (WSN) proximal sensing
SF Di Gennaro, A Matese, B Gioli, P Toscano, A Zaldei, A Palliotti, ...
Scientia Horticulturae 221, 83-87, 2017
682017
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