Thirty-two quaking aspen and thirty-one black spruce sites were studied in the Superior National Forest to relate remote sensing data to biophysical parameters. This NASA airborne and field campaign inventory includes measurements of biomass, leaf area index, net primary productivity, bark area index, and ground vegetation coverage. The data is hosted on AWS Open Data under a CC-BY-4.0 license.
Use Cases
- Modeling the relationship between biomass density and stem density based on the described inverse relationship for aspen stands.
- Estimating forest productivity based on the described allometric equations and back-projection methods for radial and height growth.
- Analyzing the link between leaf area index and biomass density based on the described tight, nearly linear relationship for spruce.
- Classifying forest canopy coverage based on the visual estimates of percent coverage for canopy, subcanopy, and understory vegetation.
Strengths
- Data covers 63 distinct forest sites (32 aspen, 31 spruce), providing a basis for comparative analysis.
- Focuses on multiple key biophysical parameters including biomass, LAI, and net primary productivity.
- Explicitly developed to improve methodologies for measuring forest stand characteristics for remote sensing and ecology.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- NASA airborne and field campaigns.
- Collection Method
- Field measurements and visual estimations at forest sites.
- Time Range
- null
- Freshness
- null
- Geography
- Superior National Forest (boreal forest region).