Live fuel moisture measurements from the U.S. Forest Service are matched with remotely-sensed variables from sources like Sentinel-1 and Landsat-8. Each row corresponds to a ground measurement at a specific latitude, longitude, and date, paired with a time series of satellite observables. The dataset was aggregated by MLHUB and last updated in 2023.
Use Cases
- Predicting live fuel moisture percentages based on time-series satellite data.
- Modeling wildfire risk and vegetation flammability based on ground-truthed moisture measurements.
- Analyzing the relationship between soil texture maps and live fuel moisture.
- Developing remote sensing algorithms for vegetation water content using Sentinel-1 and Landsat-8 data.
Strengths
- Ground measurements are sourced from the authoritative U.S. Forest Service National Fuel Moisture Database.
- Includes a time series of satellite data for six fortnights preceding each measurement, which may allow for greater predictability.
- Measurements are geolocated with latitude and longitude and sampled from a standardized 5-acre plot.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Last updated 2023-01-01 00:00:00; freshness should be verified.
Provenance
- Source
- United States Forest Service National Fuel Moisture Database, NASA Earthdata via MLHUB.
- Collection Method
- Manually collected ground measurements matched with interpolated, remotely-sensed satellite and map data.
- Freshness
- 2023-01-01 00:00:00
- Geography
- Western United States.