Leaf spectroscopy, trait, and genetic data were collected for two beech species at two mature forest sites. ENVIDAT compiled measurements from top and bottom canopy leaves sampled during the summers of 2021 and 2022. The dataset captures multi-faceted plant physiology for oriental and European beech trees.
Use Cases
- Predict leaf traits like chlorophyll content from spectral reflectance data using regression models.
- Classify beech species (oriental vs. European) using genetic markers or spectral signatures.
- Analyze trait variation between top-of-canopy and bottom-of-canopy leaves for the same tree.
- Model the relationship between genetic data and observable leaf traits or spectral properties.
Strengths
- Data integrates three modalities: spectroscopy, physical traits, and genetics.
- Includes samples from two distinct canopy positions (top and bottom).
- Covers two consecutive growing seasons (2021 and 2022).
- Samples from two mature forest sites in different countries (France and Switzerland).
Limitations
- Sample size is unknown and may be limited to two forest sites.
- Geographic coverage is restricted to Central Europe.
- Specific column names, data formats, and row counts are not provided.
Provenance
- Source
- ENVIDAT, hosted on NASA Earthdata.
- Collection Method
- Field sampling of leaves from mature forest canopies for spectral, trait, and genetic analysis.
- Time Range
- Summer 2021 and Summer 2022.
- Freshness
- Data is from 2021-2022 sampling, last updated in the catalog on 2023-01-01.
- Geography
- Allenwiller, France and Wäldi, Switzerland.