5-meter resolution maps estimate belowground biomass in the Atchafalaya and Terrebonne basins for August 2021. ORNL_CLOUD produced these data by applying an Ordinary Least Squares Regression model, trained on 40 concurrent field samples, to AVIRIS-NG-derived aboveground biomass and necromass products. The dataset captures peak biomass conditions for that single collection period.
Use Cases
- Model carbon sequestration potential by analyzing the spatial distribution of belowground biomass estimates.
- Validate or calibrate broader-scale biomass models using the high-resolution 5-meter gridded data.
- Study relationships between aboveground biomass, necromass, and belowground biomass as inferred by the OLSR model.
- Assess spatial variability in wetland organic accretion drivers using the derived belowground biomass maps.
Strengths
- High spatial resolution of approximately 5 meters per pixel.
- Model trained on 40 field samples where aboveground biomass, necromass, total nitrogen, and belowground biomass were measured concurrently.
- Data provided in cloud-optimized GeoTIFF (COG) format for efficient access.
Limitations
- Limited temporal coverage to a single snapshot from August 2021.
- Model trained on a relatively small field sample set (n=40), which may limit generalizability.
- Estimates are derived from an inference model, not direct measurement, and are specific to herbaceous vegetation in the studied basins.
Provenance
- Source
- NASA Earthdata, ORNL_CLOUD.
- Collection Method
- Belowground biomass estimated via an Ordinary Least Squares Regression model applied to AVIRIS-NG Level 3 derived aboveground biomass and necromass products.
- Time Range
- August 2021.
- Freshness
- Data represents conditions from August 2021, with no stated update frequency.
- Geography
- Atchafalaya and Terrebonne basins in southern Louisiana, USA.