Superior National Forest Biophysical Remote Sensing Validation Dataset

NASA collected a multimodal dataset over a 50 x 50 km area of boreal forest in Minnesota during the summers of 1983 and 1984. Satellite, aircraft, helicopter, and ground observations were integrated to investigate relationships between radiometric signals and biophysical properties like leaf area index and biomass. This dataset was designed to scale aircraft measurements to satellite data for remote sensing of ecosystem parameters.

Use Cases

• Validating satellite-derived leaf area index estimates using ground and aircraft measurements.
• Modeling relationships between spectral reflectance and forest biomass.
• Developing scaling algorithms to translate fine-scale aircraft data to coarser satellite footprints.
• Studying the biophysical characteristics of North American boreal forest ecosystems.

Strengths

• Multimodal data collection integrates satellite, aircraft, helicopter, and ground observations for scaling analysis.
• Focuses on a large, contiguous 2,500 sq km study area within the Superior National Forest.
• Targets key forest biophysical parameters including leaf area index, biomass, and net primary productivity.

Limitations

• Specific column names, row counts, and dataset size are not documented across any platform.
• Conflicting last updated dates exist between sources (1984 on NASA Earthdata vs. 2026 on Data.gov).
• Documentation is explicitly noted as incomplete ('currently in work').

Provenance

Source

National Aeronautics and Space Administration (NASA)

Collection Method

Intensive field experiment combining satellite, aircraft, helicopter, and ground-based observations.

Time Range

Summers of 1983 and 1984

Freshness

2026-03-12 21:32:24.063717

Geography

50 x 50 km area centered near Ely, Minnesota, USA, at the southern edge of the North American boreal forest.