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Akademický článek

Monitoring Corn Crop Height and Growth Rate With Interferometric Coherence

Autor: Mireia Mas, Antoni Broquetas, Xavier Fabregas, Albert Aguasca, Jordi Llop, Jinglong Liu, Jordi J. Mallorqui Franquet, Arturo Villarroya-Carpio, Juan M. Lopez-Sanchez

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 20041-20049 (2024)

Future radar Earth observation missions, with reduced revisit times, will offer the capability to obtain valuable data applicable to agriculture and meteorology. They will contribute to a better understanding of some observed changes that exhibit tim

Externí odkaz: https://doaj.org/article/1357542e19244437bf8723a49c6f6d27

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Akademický článek

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

Autor: Albert Aguasca, Antoni Broquetas, Juan M. Lopez-Sanchez, Xavier Fabregas, Jordi J. Mallorqui Franquet, Mireia Mas

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 1338-1347 (2024)

Geosynchronous synthetic aperture radar (GeoSAR) missions offer the advantage of near-continuous monitoring of specific regions on Earth, making them essential for applications that require continuous information. However, wind-induced motion along t

Externí odkaz: https://doaj.org/article/6491f5aad3974e00a2ffc6956844bda1

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Akademický článek

A Machine Learning Approach to Determine Risk Factors for Respiratory Bacterial/Fungal Coinfection in Critically Ill Patients with Influenza and SARS-CoV-2 Infection: A Spanish Perspective

Publikováno v: Antibiotics, Vol 13, Iss 10, p 968 (2024)

Background: Bacterial/fungal coinfections (COIs) are associated with antibiotic overuse, poor outcomes such as prolonged ICU stay, and increased mortality. Our aim was to develop machine learning-based predictive models to identify respiratory bacter

Externí odkaz: https://doaj.org/article/e452448605d54a81895a0de508373855

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