Antoni Broquetas

Professor

Universitat Politècnica de Catalunya

Spain

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Antoni Broquetas is a Professor at Universitat Politècnica de Catalunya, Spain. His research encompasses advanced techniques in remote sensing, radar imaging, and agricultural monitoring, as evidenced by his recent articles on biomass estimation, SAR altimetry, and crop dynamics. His work aims to enhance understanding and methodologies related to SAR coherence and agricultural applications using innovative algorithms and data analysis.

Articles (11)

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2024

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2024

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2022

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2021

Collaborators (4)

Jakub Nowosad

Assistant Professor

Adam Mickiewicz University in Poznań

POLAND

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Alaitz Zabala Torres

Universitat Autònoma de Barcelona (UAB)

SPAIN

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Juan M. Lopez-Sanchez

Universidad de Alicante

SPAIN

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Xavier Pons

Full Professor

Universitat Autònoma de Barcelona Departament de Geografia

SPAIN

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Antoni Broquetas

Research Interests

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Articles (11)

Improved Photosynthetic Accumulation Models for Biomass Estimation of Soybean and Cotton Using Vegetation Indices and Canopy Height

Accelerated Algorithm for Back-Projection Fully Focused SAR Altimetry

Bistatic SAR Imaging and Precise Orbit Determination Using Geostationary Telecommunication Satellites

Decorrelation rate and daily cycle in sub-daily time series of SAR coherence amplitude

A Fully Focused SAR Omega-K Closed-Form Algorithm for the Sentinel-6 Radar Altimeter: Methodology and Applications

Assessment of the Impact of Long Integration Time in Geosynchronous SAR Imagery of Agricultural Fields by Means of GB-SAR Data

Facility for Continuous Agricultural Field Monitoring With a GB-PolSAR

Eyelid Dynamics Characterization with 120 GHz mmW Radar

Monitoring Corn Crop Height and Growth Rate With Interferometric Coherence

Interferometric Orbit Determination System for Geosynchronous SAR Missions: Experimental Proof of Concept

Fusing Landsat and SAR Data for Mapping Tropical Deforestation through Machine Learning Classification and the PVts-β Non-Seasonal Detection Approach

Collaborators (4)

Jakub Nowosad

Alaitz Zabala Torres

Juan M. Lopez-Sanchez

Xavier Pons

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