AfriSAR Forest Canopy Structure from UAVSAR PolInSAR and TomoSAR

NASA's AfriSAR dataset provides forest vertical structure and uncertainty products for Gabonese forests, derived from multi-baseline Polarimetric Interferometric SAR and Polarimetric Coherence Tomographic SAR techniques. Data were collected during multiple UAVSAR flights in February-March 2016 as part of a joint NASA/ESA campaign. Supplementary products include radar backscatter, coherence, and viewing and terrain geometry data.

Use Cases

• Validating forest canopy height models using derived vertical structure products.
• Analyzing radar backscatter and coherence for forest type classification.
• Studying the relationship between viewing/terrain geometry and SAR signal response in tropical forests.
• Developing or benchmarking PolInSAR and PCT/PC-TomoSAR processing algorithms for vegetation.

Strengths

• Data originates from a joint NASA/ESA campaign (AfriSAR), indicating a high-caliber scientific collection effort.
• Products include both final canopy structure estimates and intermediate parameters like backscatter and coherence, supporting method development.
• Collection used repeat-pass flights with the UAVSAR instrument, enabling multi-baseline interferometric analysis.

Limitations

• Core metadata such as row count, file size, and specific column names are unavailable from all listed platforms.
• Conflicting 'last updated' dates exist between sources (2016-03-08 on NASA Earthdata vs. 2026-03-13 on Data.gov), creating uncertainty about version currency.

Provenance

Source

National Aeronautics and Space Administration (NASA)

Collection Method

Data collected from multiple repeat-pass flights using the UAVSAR instrument, with products derived via PolInSAR and PCT/PC-TomoSAR techniques.

Time Range

February-March 2016

Freshness

2026-03-13 18:50:05.653019

Geography

Gabonese forests