Publications by authors named "Ruzena Janoutova"
Article Synopsis
- Accurate retrieval of forest functional traits from remote sensing data is essential for assessing forest health and productivity, requiring a detailed database of spectral properties and corresponding traits.
- Existing datasets are often narrow in focus, hindering the ability to develop generalizable machine learning models for forest trait prediction.
- This study introduces a comprehensive high-resolution dataset of hyperspectral Look-Up Tables designed for Central European temperate broadleaf forests, featuring 3.5 million unique trait combinations that can be leveraged to enhance machine learning model training and improve remote sensing algorithms.
