CO2 and CH4 Fluxes from Waterbodies, Yukon-Kuskokwim Delta, Alaska

NASA provides estimates of carbon dioxide and methane diffusive fluxes from approximately 17,000 waterbodies in the central-interior Yukon-Kuskokwim Delta, Alaska. A gradient boosting machine learning model predicted dissolved gas concentrations using Sentinel-2, Sentinel-1, and DEM remote sensing data, trained on ~300 field samples collected in July from 2016 to 2019. The resulting data, provided as GeoTIFF and shapefile formats, include watershed landcover and scaled flux estimates.

Use Cases

• Modeling regional greenhouse gas budgets based on predicted aquatic CO2 and CH4 fluxes.
• Analyzing relationships between waterbody characteristics (size, shape, reflectance) and dissolved gas concentrations.
• Assessing landscape-level drivers of carbon emissions using integrated terrestrial-aquatic remote sensing inputs.
• Validating and scaling field observations of dissolved gases with machine learning predictions.

Strengths

• Model trained on ~300 field-collected surface water samples.
• Predictions cover approximately 17,000 waterbodies in the study region.
• Uses a multi-sensor remote sensing approach integrating Sentinel-1, Sentinel-2, and DEM data.

Limitations

• Conflicting last updated dates (2019-07-07 vs. 2026-04-10) across platforms.
• Column names and exact row counts are not specified in the provided metadata.
• Spatial and temporal coverage is limited to the central YK Delta and July months from 2016-2019.

Provenance

Source

National Aeronautics and Space Administration

Collection Method

Field observations scaled using a gradient boosting machine learning model with remote sensing drivers.

Time Range

2016-07 to 2019-07

Freshness

2026-04-10 04:35:59.259350

Geography

Central-interior Yukon-Kuskokwim Delta, Alaska