European Facility For Airborne Research

European Facility For Airborne Research Nov. 27, 2020, 22:07

Author archives: HOLZWARTH Stefanie

Mapping leaf area index in a mixed temperate forest using Fenix airborne hyperspectral data and Gaussian processes regression

Last update on Nov. 4, 2020.

Machine learning algorithms, in particular, kernel-based machine learning methods such as Gaussian processes regression (GPR) have shown to be promising alternatives to traditional empirical methods for retrieving vegetation parameters from remotely sensed data. However, the performance of GPR in predicting forest biophysical parameters has hardly been examined using full-spectrum airborne hyperspectral data. The main objective ...

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EUFAR’s Compatibility Check with International Standards

Last update on Dec. 9, 2019.

During the previous funding period of the EUFAR project (2008 - 2013), several efforts were made to harmonise different processes within the research infrastructure. Common protocols conforming to existing European and American airborne science best practices were developed and disseminated to the EUFAR community. These protocols served only as guidelines for the EUFAR partners and implementation ...

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