The northeastern United States is the geographic scope of the Digi-Sylva dataset. It integrates field measurements and airborne laser scanning data to provide forest attributes at the plot level across the boreal-temperate ecotone. The dataset was authored by Wei, Xinyuan and last updated on the Harvard Dataverse platform in April 2026.
Use Cases
- Modeling forest biomass and structure based on integrated field and airborne laser scanning measurements.
- Analyzing ecological gradients across the boreal-temperate ecotone based on plot-level forest attributes.
- Calibrating or validating remote sensing algorithms for forest monitoring based on ground-truth data.
Strengths
- Integrates two complementary data sources: field measurements and airborne laser scanning.
- Focuses on the ecologically significant boreal-temperate ecotone in the northeastern United States.
- Provides data at the plot level, a standard unit for ecological and forestry studies.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and file size are unknown, which may limit suitability assessment.
- The dataset's freshness should be verified as the last update date is in the future (2026-04-27).
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Integration of field measurements and airborne laser scanning.
- Time Range
- null
- Freshness
- Last updated 2026-04-27 14:37:32; freshness should be verified.
- Geography
- Boreal-temperate ecotone of the northeastern United States