Optimal interpolation to re-analyse PM10 concentration modelling simulations. - Gabriele Candiani; Claudio Carnevale; Veronica Filisina; Giovanna Finzi; Enrico Pisoni; Marialuisa Volta (CDC, 2009)

Assimilation of Chemical Ground Measurements in Air Quality Modeling. - Gabriele Candiani; Claudio Carnevale; Enrico Pisoni; Marialuisa Volta (LSSC, 2009)

Off-line Data Assimilation to provide the best estimate of tropospheric ozone concentrations by means of EnKF. - Gabriele Candiani; Claudio Carnevale; Giovanna Finzi; Enrico Pisoni; Marialuisa Volta (CDC, 2010)

Airborne remote sensing for mapping asbestos roofs in aosta valley. - Federico Frassy; Gabriele Candiani; Pieralberto Maianti; Andrea Marchesi; Francesco Rota Nodari; Marco Rusmini; Carlo Albonico; Marco Gianinetto (IGARSS, 2012)

High-resolution SAR and high-resolution optical data integration for sub-urban land-cover classification. - Marco Rusmini; Gabriele Candiani; Federico Frassy; Pieralberto Maianti; Andrea Marchesi; Francesco Rota Nodari; Luigi Dini; Marco Gianinetto (IGARSS, 2012)

BOMBER: A tool for estimating water quality and bottom properties from remote sensing images. - Claudia Giardino; Gabriele Candiani; Mariano Bresciani; ZhongPing Lee; Stefano Gagliano; Monica Pepe (Comput. Geosci., 2012)

Hyperdimensional data exploitation through parametric reduction. - Loredana Pompilio; Monica Pepe; Gabriele Candiani (WHISPERS, 2014)

Evaporative Fraction as an Indicator of Moisture Condition and Water Stress Status in Semi-Arid Rangeland Ecosystems. - Francesco Nutini; Mirco Boschetti; Gabriele Candiani; Stefano Bocchi; Pietro Alessandro Brivio (Remote. Sens., 2014)

Mapping Asbestos-Cement Roofing with Hyperspectral Remote Sensing over a Large Mountain Region of the Italian Western Alps. - Federico Frassy; Gabriele Candiani; Marco Rusmini; Pieralberto Maianti; Andrea Marchesi; Francesco Rota Nodari; Giorgio Dalla Via; Carlo Albonico; Marco Gianinetto (Sensors, 2014)

Geolithological mapping of carbonate system deposits for hydrocarbon exploration using hyperspectral imagery. - Monica Pepe; Mirco Boschetti; Gabriele Candiani; Paolo Villa; Fabrizio Piero Righetti; Valentina Clementi (IGARSS, 2015)

Characterization of fine metal particles using hyperspectral imaging in automatic weee recycling systems. - Gabriele Candiani; Nicoletta Picone; Loredana Pompilio; Monica Pepe; Marcello Colledani (WHISPERS, 2015)

Mapping of Asbestos Cement Roofs and Their Weathering Status Using Hyperspectral Aerial Images. - Chiara Cilia; Cinzia Panigada; Micol Rossini; Gabriele Candiani; Monica Pepe; Roberto Colombo (ISPRS Int. J. Geo Inf., 2015)

A Simple Fusion Method for Image Time Series Based on the Estimation of Image Temporal Validity. - Mar Bisquert; Gloria Bordogna; Agnès Bégué; Gabriele Candiani; Maguelonne Teisseire; Pascal Poncelet (Remote. Sens., 2015)

Characterization of Fine Metal Particles Derived from Shredded WEEE Using a Hyperspectral Image System: Preliminary Results. - Gabriele Candiani; Nicoletta Picone; Loredana Pompilio; Monica Pepe; Marcello Colledani (Sensors, 2017)

Prototyping Vegetation Traits Models in the Context of the Hyperspectral Chime Mission Preparation. - Jochem Verrelst; Charlotte De Grave; Eatidal Amin; Pablo Reyes; Miguel Morata; Enrique Portales; Santiago Belda; Giulia Tagliabue; Cinzia Panigada; Mirco Boschetti; Gabriele Candiani; Karl Segl; et al. (IGARSS, 2021)

Multi Crop Estimation of LAI from Sentinel-2 VIs with Parametric Regression Approach: Comparison of Performances and VIs Sensitivity. - Margherita De Peppo; Francesco Nutini; Gabriele Candiani; Giorgio Ragaglini; Andrea Taramelli; Federico Filipponi; Mirco Boschetti (ASITA, 2022)

Retrieving Biophysical And Biochemical Crop Traits Using Continuum-Removed Absorption Features From Hyperspectral Proximal Sensing. - Ramin Heidarian Dehkordi; Francesco Nutini; Simone Mereu; Gabriele Candiani; Margherita De Peppo; Mirco Boschetti (WHISPERS, 2022)

Evaluation of Hybrid Models to Estimate Chlorophyll and Nitrogen Content of Maize Crops in the Framework of the Future CHIME Mission. - Gabriele Candiani; Giulia Tagliabue; Cinzia Panigada; Jochem Verrelst; Valentina Picchi; Juan Pablo Rivera Caicedo; Mirco Boschetti (Remote. Sens., 2022)

Assessing Wheat Yield and Grain Protein Content with Machine Learning and Satellite Hyperspectral Data: Multi-Year Explorative Analysis. - Marina Ranghetti; Mirco Boschetti; Francesco Nutini; Micol Rossini; Gabriele Candiani (WHISPERS, 2023)

The Influence of Plasmodesmata Number and Opening State on Molecular Transports in Plants. - Beatrice Ruzzante; Alessandro Piscopo; Svyatoslav Salo; Maurizio Magarini; Gabriele Candiani (IEEE Trans. Mol. Biol. Multi Scale Commun., 2023)

Self-Supervised Convolutional Neural Network Learning in a Hybrid Approach Framework to Estimate Chlorophyll and Nitrogen Content of Maize from Hyperspectral Images. - Ignazio Gallo; Mirco Boschetti; Anwar Ur Rehman; Gabriele Candiani (Remote. Sens., 2023)

Towards crop traits estimation from hyperspectral data: evaluation of neural network models trained with real multi-site data or synthetic RTM simulations. - Lorenzo Parigi; Gabriele Candiani; Ignazio Gallo; Piero Toscano; Mirco Boschetti (FedCSIS, 2024)

Active Learning Strategies for Remote Sensing Estimation of Agronomic Parameters with Limited Calibration Data. - Donato Amitrano; Gabriele Candiani; Luca Cicala; Marco De Mizio; Francesco Tufano (IGARSS, 2024)

Crop Traits Retrival from Prisma Imagery with Machine Learning: A Comparison of Data Driven and Hybrid Approach with a Multi-Year Multi-Crop Dataset. - Gabriele Candiani; Francesco Nutini; Lorenzo Parigi; Monica Pepe; Mirco Boschetti (WHISPERS, 2024)

Retrieval of Wheat Traits from Prisma Data Through Neural Networks with Different Training Setups. - Lorenzo Parigi; Gabriele Candiani; Mirco Boschetti (WHISPERS, 2024)

Vegetation Biomass and Nitrogen Content Estimation Using Ensembles: Regression and Active Learning Strategies for Field Sampling Reduction. - Donato Amitrano; Gabriele Candiani; Luca Cicala; Marco De Mizio; Francesco Tufano (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Towards an Improved High-Throughput Phenotyping Approach: Utilizing MLRA and Dimensionality Reduction Techniques for Transferring Hyperspectral Proximal-Based Model to Airborne Images. - Ramin Heidarian Dehkordi; Gabriele Candiani; Francesco Nutini; Federico Carotenuto; Beniamino Gioli; Carla Cesaraccio; Mirco Boschetti (Remote. Sens., 2024)