Seedling Canopy Chemistry: Nitrogen and Chlorophyll in Douglas-fir and Maple

This dataset contains foliar chemistry measurements from a controlled experiment on seedling canopies of Douglas-fir (Pseudotsuga menziesii) and bigleaf maple (Acer macrophyllum). Seedlings were subjected to different fertilization levels to create canopies with varying nitrogen and chlorophyll concentrations, with canopy reflectance measured under natural sunlight prior to destructive analysis. The dataset likely contains tabular data linking canopy chemistry to reflectance properties for these two species.

Use Cases

• Calibrating remote sensing models for foliar nitrogen based on controlled canopy chemistry variations.
• Validating spectral indices for chlorophyll estimation using reflectance data paired with destructive chemical analysis.
• Investigating the relationship between foliar chemistry and reflectance for coniferous (Douglas-fir) and broadleaf (bigleaf maple) species.
• Studying the effects of fertilization and canopy density on spectral signatures of seedling canopies.

Strengths

• Data is from a controlled experiment designed to isolate variations in foliar chemistry (nitrogen, chlorophyll) for model development.
• Cross-platform presence on datagov and nasa_earthdata signals its importance and curation within a scientific data ecosystem.

Limitations

• Column names and row counts are not provided in any source, limiting assessment of data structure and volume.
• Conflicting last-updated dates (1993 vs. 2026) create uncertainty about data currency and potential revisions.
• License is ambiguously specified as 'other-license-specified' without details on reuse terms.

Provenance

Source

National Aeronautics and Space Administration

Collection Method

Controlled fertilization experiment on seedling canopies, with subsequent destructive foliar chemistry analysis and canopy reflectance measurement under natural sunlight.

Time Range

1992-1993

Freshness

2026-04-09 22:12:15.686917 (from datagv, but conflicts with 1993 date from nasa_earthdata)