SMAPVEX19-22: UAVSAR Radar Mosaics for Forest Soil Moisture

SMAPVEX19-22 field campaign collected daily mosaicked UAVSAR images at three polarization configurations from April to July 2022 near Petersham, Massachusetts. The terrain-flattened gamma-corrected radar data targets forested land cover to validate satellite-derived soil moisture estimates. This dataset supports the Soil Moisture Active Passive Validation Experiment's goal of improving remote sensing accuracy in vegetated areas.

Use Cases

• Validating satellite soil moisture estimates based on UAVSAR polarization data.
• Analyzing radar backscatter changes in forested areas over a daily time series.
• Developing terrain-flattened gamma correction methods for synthetic aperture radar imagery.
• Studying the relationship between radar polarization and soil moisture under vegetation cover.

Strengths

• Provides daily composited data over a four-month campaign (April-July 2022), enabling temporal analysis.
• Includes three polarization configurations, offering multiple dimensions for radar signal analysis.
• Data is terrain-flattened and gamma-corrected, indicating a processed, analysis-ready product.
• Cross-platform presence on Data.gov and NASA EarthData signals its importance and curation.

Limitations

• Column names and data structure are unknown, limiting immediate analytical use.
• Conflicting 'last updated' dates (2026 vs. 2022) across platforms create uncertainty about metadata freshness.
• Dataset size and row counts are unspecified.

Provenance

Source

National Aeronautics and Space Administration

Collection Method

Mosaicked from Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) images collected during the SMAPVEX19 22 field campaign.

Time Range

April to July 2022

Freshness

2026-03-13 20:17:20.785851

Geography

Vicinity of Petersham, Massachusetts, USA