S. Pignatti

发表

Suitability of CASI and ATM airborne remote sensing data for archaeological subsurface structure detection under different land cover: the Arpi case study (Italy)

S. Pascucci, R. Cavalli, A. Palombo, 2010 .

Remote hyperspectral imagery as a support to archaeological prospection

R. Cavalli, A. Palombo, S. Pignatti, 2007 .

Evaluation of the potential of the current and forthcoming multispectral and hyperspectral imagers to estimate soil texture and organic carbon

R. Casa, S. Pascucci, A. Palombo, 2016 .

Specific spectral bands for different land cover contexts to improve the efficiency of remote sensing archaeological prospection: The Arpi case study

S. Pascucci, R. Cavalli, A. Palombo, 2009 .

Multiscale fuel type mapping in fragmented ecosystems: preliminary results from hyperspectral MIVIS and multispectral Landsat TM data

R. Lasaponara, S. Pignatti, A. Lanorte, 2006 .

Characterization and Mapping of Fuel Types for the Mediterranean Ecosystems of Pollino National Park in Southern Italy by Using Hyperspectral MIVIS Data

R. Lasaponara, S. Pignatti, A. Lanorte, 2006 .

Relations between morphological settings and vegetation covers in a medium relief landscape of Central Italy

Stefano Pignatti, Simone Pascucci, Rosa Maria Cavalli, 2006 .

Evaluating Hyperion capability for land cover mapping in a fragmented ecosystem : Pollino National Park, Italy

Stefano Pignatti, Vincenzo Cuomo, Simone Pascucci, 2009 .

Multiscale integration of satellite, airborne and field data for Mediterranean vegetation studies in the natural area of the Castelporziano Estate (Rome)

R. Cavalli, S. Pignatti, F. Manes, 2006 .

A Comparison of Moment-Independent and Variance-Based Global Sensitivity Analysis Approaches for Wheat Yield Estimation with the Aquacrop-OS Model

Wenjiang Huang, R. Casa, S. Pascucci, 2020, Agronomy.

Deterioration status of asbestos-cement roofing sheets assessed by analyzing hyperspectral data

V. Cuomo, S. Pascucci, R. Cavalli, 2007 .

Hyperspectral Sensor Data Capability for Retrieving Complex Urban Land Cover in Comparison with Multispectral Data: Venice City Case Study (Italy)

S. Pascucci, R. Cavalli, S. Pignatti, 2008, Sensors.

MIVIS image geocoding experience on merging position attitude system data and public domain GPS stream (ASI-GeoDAF)

A. Palombo, S. Pignatti, G. Avanzi, 2006 .

Estimation of soil properties at the field scale from satellite data: a comparison between spatial and non‐spatial techniques

R. Casa, S. Pascucci, A. Palombo, 2014 .

Using imaging spectroscopy to map red mud dust waste: The Podgorica Aluminum Complex case study

Stefano Pignatti, Simone Pascucci, Federico Santini, 2012 .

Remote sensing water observation for supporting Lake Victoria weed management.

Stefano Pignatti, Giovanni Laneve, Federico Santini, 2009, Journal of environmental management.

Sensitivity analysis of the Aquacrop and SAFYE crop models for the assessment of water limited winter wheat yield in regional scale applications

Stefano Pignatti, Guijun Yang, Raffaele Casa, 2017, PloS one.

Estimating Winter Wheat Leaf Area Index From Ground and Hyperspectral Observations Using Vegetation Indices

Bing Zhang, Wenjiang Huang, Pengfei Chen, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A comparison of sensor resolution and calibration strategies for soil texture estimation from hyperspectral remote sensing

Stefano Pignatti, Raffaele Casa, Simone Pascucci, 2013 .

Correction of sun glint effect on MIVIS data of the Sicily campaign in July 2000

E. Zappitelli, R. Cavalli, S. Pignatti, 2006 .

Chlorophyll estimation in field crops: an assessment of handheld leaf meters and spectral reflectance measurements

R. Casa, S. Pascucci, S. Pignatti, 2014, The Journal of Agricultural Science.

Estimation of soil organic carbon from airborne hyperspectral thermal infrared data: a case study

Stefano Pignatti, Raffaele Casa, Simone Pascucci, 2014 .

Statistical Classification for Assessing PRISMA Hyperspectral Potential for Agricultural Land Use

Stefano Pignatti, Anestis Antoniadis, Umberto Amato, 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Development of a tool for automatic bare soil detection from multitemporal satellite optical imagery for digital soil mapping applications

S. Pascucci, S. Pignatti, N. Mzid, 2020 .

Dynamics of sun-induced chlorophyll fluorescence and reflectance to detect stress-induced variations in canopy photosynthesis.

M. Rossini, R. Colombo, F. Miglietta, 2020, Plant, cell & environment.

Frequency analysis and data correlation for beam displacement measurements based on the ISTIMES campaign in Montagnole

S. Nordebo, M. Gustafsson, S. Pignatti, 2012 .

Multi-Technique Application for Waste Material Detection and Soil Remediation Strategies: The Red Mud Dust and Fly Ash Case Studies

S. Pascucci, A. Palombo, S. Pignatti, 2011 .

Evaluation of Agricultural Bare Soil Properties Retrieval from Landsat 8, Sentinel-2 and PRISMA Satellite Data

R. Casa, S. Pascucci, S. Pignatti, 2022, Remote. Sens..

Relationships between morphological units and vegetation categories of Soratte Mount (Italy) as inferred by processing elevation and MIVIS hyperspectral data

S. Pascucci, R. Cavalli, S. Pignatti, 2003 .

Sino-Eu Earth Observation Data to Support the Monitoring and Management of Agricultural Resources

Stefano Pignatti, Giovanni Laneve, Guijun Yang, 2021, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

PRISMA L1 and L2 Performances within the PRISCAV Project: The Pignola Test Site in Southern Italy

L. Mona, R. Casa, S. Pascucci, 2022, Remote. Sens..

Dragon 4-Satellite Based Analysis of Diseases on Permanent and Row Crops in Italy and China

Wenjiang Huang, S. Pignatti, G. Laneve, 2021 .

Prisma Noise Coefficients Estimation

R. Casa, S. Pascucci, S. Pignatti, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

COASTAL WATER ASSESSMENT AND MONITORING BY HYPERSPECTRAL REMOTE SENSING TECHNIQUES: SELECTED APPLICATIONS IN THE ADRIATIC SEA

R. Cavalli, S. Pignatti, F. Santini, 2010 .

A Comparison between Standard and Functional Clustering Methodologies: Application to Agricultural Fields for Yield Pattern Assessment

Stefano Pignatti, Maria Francesca Carfora, Raffaele Casa, 2018, Remote. Sens..

PRISMA sensor evaluation: a case study of mineral mapping performance over Makhtesh Ramon, Israel

E. Ben-Dor, S. Pignatti, D. Heller Pearlshtien, 2021, International Journal of Remote Sensing.

The PRISMA hyperspectral mission: Science activities and opportunities for agriculture and land monitoring

Stefania Matteoli, Marco Diani, Giovanni Corsini, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Identification of Fusarium Head Blight in Winter Wheat Ears Using Continuous Wavelet Analysis

Yingying Dong, Linyi Liu, Wenjiang Huang, 2019, Sensors.

Bayesian Calibration of the Aquacrop-OS Model for Durum Wheat by Assimilation of Canopy Cover Retrieved from VENµS Satellite Data

Stefano Pignatti, Wenjiang Huang, Raffaele Casa, 2020, Remote. Sens..

Vegetation Indices Combining the Red and Red-Edge Spectral Information for Leaf Area Index Retrieval

Wenjiang Huang, Yingying Dong, Huichun Ye, 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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

Wenjiang Huang, Hao Yang, Stefano Pignatti, 2017, Remote. Sens..

An Analysis of Bare Soil Occurrence in Arable Croplands for Remote Sensing Topsoil Applications

Stefano Pignatti, Wenjiang Huang, Raffaele Casa, 2021, Remote. Sens..

Early stage variable rate nitrogen fertilization of silage maize driven by multi-temporal clustering of archive satellite data

Stefano Pignatti, Raffaele Casa, Simone Pascucci, 2017 .

Assessment of the abnormal growth of floating macrophytes in Winam Gulf (Kenya) by using MODIS imagery time series

Stefano Pignatti, Giovanni Laneve, Angelo Palombo, 2013, Int. J. Appl. Earth Obs. Geoinformation.

Reducing the Influence of Soil Moisture on the Estimation of Clay from Hyperspectral Data: A Case Study Using Simulated PRISMA Data

Stefano Pignatti, Raffaele Casa, Angelo Palombo, 2015, Remote. Sens..

Performance of a Portable FT-NIR MEMS Spectrometer to Predict Soil Features

R. Casa, S. Pascucci, S. Pignatti, 2022, Soil Systems.

An Empirical Ocean Colour Algorithm for Estimating the Contribution of Coloured Dissolved Organic Matter in North-Central Western Adriatic Sea

Stefano Pignatti, Mauro Marini, Simone Pascucci, 2017, Remote. Sens..

Crop Mapping Using Random Forest and Particle Swarm Optimization based on Multi-Temporal Sentinel-2

Stefano Pignatti, Elahe Akbari, Najmeh Neysani Samany, 2020, Remote. Sens..

Geophysical and Hyperspectral Data Fusion Techniques for In‐Field Estimation of Soil Properties

Stefano Pignatti, Bruno Basso, Raffaele Casa, 2013 .

Aerial remote sensing hyperspectral techniques for rocky outcrops mapping

Stefano Pignatti, Valerio Tramutoli, Carolina Filizzola, 2002 .

Optimal Spectral Domain Selection for Maximizing Archaeological Signatures: Italy Case Studies

Stefano Pignatti, Simone Pascucci, Rosa Maria Cavalli, 2009, Sensors.

Downstream Services for Rice Crop Monitoring in Europe: From Regional to Local Scale

Stefano Pignatti, Anna Rampini, Daniela Stroppiana, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Vicarious CAL/VAL Approach for Orbital Hyperspectral Sensors Using Multiple Sites

Daniela Heller Pearlshtien, E. Ben-Dor, S. Pignatti, 2023, Remote. Sens..

Retrieving vegetation cover types in the complex natural ecosystem of the Pollino National Park (South Italy) through Hyperion data

Stefano Pignatti, Simone Pascucci, Lorenzo Fusilli, 2007, SPIE Remote Sensing.

Evaluation of Airborne HySpex and Spaceborne PRISMA Hyperspectral Remote Sensing Data for Soil Organic Matter and Carbonates Estimation

G. Zalidis, D. Bochtis, S. Pignatti, 2023, Remote. Sens..

Assessment of the Potential of PRISMA Hyperspectral Data to Estimate Soil Moisture

S. Pascucci, S. Pignatti, M. Tolomio, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

A two-step optimization procedure for assessing water constituent concentrations by hyperspectral remote sensing techniques: An application to the highly turbid Venice lagoon waters

Stefano Pignatti, Federico Santini, Rosa Maria Cavalli, 2010 .

Aerosol Optical Retrieval and Surface Reflectance from Airborne Remote Sensing Data over Land

Stefano Pignatti, Rosa Maria Cavalli, Cristiana Bassani, 2010, Sensors.

Laboratory activity for a new procedure of MIVIS calibration and relative validation with test data

Stefano Pignatti, Fabio Madonna, A. Palombo, 2006 .

Use of airborne hyperspectral images to assess the spatial distribution of oil spilled during the Trecate blow-out (Northern Italy)

Stefano Pignatti, Remo Bianchi, Carlo M. Marino, 1995, Remote Sensing.

Modeling and Multi-Temporal Characterization of Total Suspended Matter by the Combined Use of Sentinel 2-MSI and Landsat 8-OLI Data: The Pertusillo Lake Case Study (Italy)

Stefano Pignatti, Valeria Satriano, Emanuele Ciancia, 2020, Remote. Sens..

A Comparison of Hybrid Machine Learning Algorithms for the Retrieval of Wheat Biophysical Variables from Sentinel-2

Wenjiang Huang, Huichun Ye, Stefano Pignatti, 2019, Remote. Sens..

Temporal Polarimetric Behavior of Oilseed Rape (Brassica napus L.) at C-Band for Early Season Sowing Date Monitoring

Hao Yang, Stefano Pignatti, Chunjiang Zhao, 2014, Remote. Sens..

Special Issue "Hyperspectral Remote Sensing of Agriculture and Vegetation"

Stefano Pignatti, Wenjiang Huang, Raffaele Casa, 2020, Remote. Sens..

Volcano-tectonic scenario of Vulsini Volcanoes (Central Italy) from LANDSAT-MSS images and digital elevation data

S. Pignatti, M. Poscolieri, D. Palladino, 1990 .

Red mud soil contamination near an urban settlement analyzed by airborne hyperspectral remote sensing

Stefano Pignatti, Giovanni Laneve, Simone Pascucci, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

Wheat lodging monitoring using polarimetric index from RADARSAT-2 data

Stefano Pignatti, Lei Zhao, Raffaele Casa, 2015, Int. J. Appl. Earth Obs. Geoinformation.

Potential of hyperspectral remote sensing for field scale soil mapping and precision agriculture applications

Stefano Pignatti, Raffaele Casa, Simone Pascucci, 2012 .

TASI-600 high resolution airborne thermal data for accurate materials detection in urban scenarios

S. Pascucci, A. Palombo, S. Pignatti, 2014 .

Maize Crop and Weeds Species Detection by Using Uav Vnir Hyperpectral Data

S. Pignatti, R. Casa, A. Harfouche, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

UAV-based hyperspectral imaging for weed discrimination in maize

Stefano Pignatti, Umberto Nanni, Luigi Laura, 2019, Precision agriculture ’19.

Predicting soil nutrients with PRISMA hyperspectral data at the field scale: the Handan (south of Hebei Province) test cases

S. Pascucci, S. Pignatti, Saham Mirzaei, 2024, Geo-Spatial Information Science.

Early-Season Crop Mapping by PRISMA Images Using Machine/Deep Learning Approaches: Italy and Iran Test Cases

S. Pascucci, A. Palombo, S. Pignatti, 2024, Remote. Sens..

Automatic recognition of rocky outcrops from MIVIS data: a test case on a selected area of the Pollino National Park (southern Italy)

Stefano Pignatti, Marcello Schiattarella, Valerio Tramutoli, 2002, Remote Sensing.

Pollino Project Action D: a multiscale approach in the space-time domain to environmental risk monitoring

Tiziana Simoniello, Stefano Pignatti, Teodosio Lacava, 2002, Remote Sensing.