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Sergio Ruggieri
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2020 – today
- 2024
- [c15]Vito Iacobellis
, Andrea Gioia
Advancing Sustainable Water Management in Southern Italy Through Integrated Hydrological Modeling and Earth Observation. ICCSA (Workshops 5) 2024: 217-229 - [c14]Giuseppe Satalino, Davide Palmisano, Anna Balenzano, Francesco P. Lovergine, Francesco Mattia, Francesco Nutini, Mirco Boschetti, Giorgia Verza, Michele Rinaldi, Sergio Ruggieri, Francesco Ciavarella, Carmen Manganiello, Vanessa Paredes Gómez, David Alfonso Nafría García:
Copernicus Sentinels For Tillage Change Detection. IGARSS 2024: 1249-1252 - [c13]Michele Rinaldi, Sergio Ruggieri, Francesco Ciavarella, Giuseppe Satalino, Davide Palmisano, Anna Balenzano, Cinzia Albertini, Francesco P. Lovergine, Francesco Mattia, Vito Iacobellis, Andrea Gioia, Donato Impedovo, Luigi Nardella, Michele Di Cataldo, Nicoletta Noviello, Rocchina Guarini, Patrizia Sacco, Maria Virelli, Deodato Tapete, Pasquale Garofalo:
A Crop Model for Large Scale and Early Irrigation Requirements Estimation. IGARSS 2024: 2807-2810 - [c12]Giuseppe Satalino, Anna Balenzano, Francesco P. Lovergine, Cinzia Albertini, Davide Palmisano, Francesco Mattia, Sergio Ruggieri, Pasquale Garofalo, Michele Rinaldi, Vito Iacobellis, Andrea Gioia, Donato Impedovo, Luigi Nardella, Michele Di Cataldo, Nicoletta Noviello, Rocchina Guarini, Patrizia Sacco, Maria Virelli, Deodato Tapete:
Earth Observation for the Early Forecast of Irrigation Needs. IGARSS 2024: 4912-4915 - 2023
- [c11]Francesco Mattia, Anna Balenzano, Giuseppe Satalino
Earth Observation Retrieval and Classification Algorithms for Agriculture. IGARSS 2023: 1428-1431 - [c10]Michele Rinaldi, Sergio Ruggieri
How Can Be Used Earth Observation Data in Conservation Agriculture Monitoring? IGARSS 2023: 2022-2025 - 2022
- [j4]Carmela Riefolo
Potential of GPR data fusion with hyperspectral data for precision agriculture of the future. Comput. Electron. Agric. 199: 107109 (2022) - [j3]Angelo Cardellicchio
View VULMA: Data Set for Training a Machine-Learning Tool for a Fast Vulnerability Analysis of Existing Buildings. Data 7(1): 4 (2022) - [c9]Angelo Cardellicchio
Deep Learning Approaches for Image-Based Detection and Classification of Structural Defects in Bridges. ICIAP Workshops (1) 2022: 269-279 - [c8]Francesco Mattia, Anna Balenzano, Giuseppe Satalino
Multi-Frequency Sar Data for Agriculture. IGARSS 2022: 5176-5179 - 2021
- [j2]Annamaria Castrignanò
Semi-Automatic Method for Early Detection of Xylella fastidiosa in Olive Trees Using UAV Multispectral Imagery and Geostatistical-Discriminant Analysis. Remote. Sens. 13(1): 14 (2021) - 2020
- [j1]Emanuele Barca, Annamaria Castrignanò
A new supervised classifier exploiting spectral-spatial information in the Bayesian framework. Int. J. Appl. Earth Obs. Geoinformation 86 (2020) - [c7]Michele Rinaldi, Salvatore Antonio Colecchia
A European Test Site for Ground Data Measurement and Earth Observation Services Validation. IGARSS 2020: 4534-4537
2010 – 2019
- 2019
- [c6]Davide Palmisano, Oliver Cartus, Urs Wegmüller, Giuseppe Satalino
Sensitivity of Sentinel-1 Interferometric Coherence to Crop Structure and Soil Moisture. IGARSS 2019: 6219-6222 - [c5]Giuseppina Uva, Valentino Sangiorgio
A novel rapid survey form for the vulnerability assessment of existing building stock based on the "Index Building" approach. SMC 2019: 976-981 - 2018
- [c4]Giuseppe Satalino, Francesco Mattia
Sentinel-1 & Sentinel-2 Data for Soil Tillage Change Detection. IGARSS 2018: 6627-6630 - 2012
- [c3]Francesco Mattia
Time series of COSMO-SkyMed data for landcover classification and surface parameter retrieval over agricultural sites. IGARSS 2012: 6511-6514 - 2011
- [c2]Anna Balenzano
On the use of multi-temporal series of COSMO-SkyMed data for LANDcover classification and surface parameter retrieval over agricultural sites. IGARSS 2011: 142-145
2000 – 2009
- 2009
- [c1]Giuseppe Satalino, Francesco Mattia
LAI Estimation of Agricultural Crops from Optical Data at Different Spatial Resolution. IGARSS (4) 2009: 797-800
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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