CO2 and CH4 Fluxes from Waterbodies, Yukon-Kuskokwim Delta, Alaska, 2016-2019 ... : Arctic-Boreal Vulnerability Experiment (ABoVE) ...

• Main Authors: Ludwig, S., Natali, S., Schade, J., Powell, M., Fiske, G., Schiferl, L.D., Commane, R.
• Format: Article in Journal/Newspaper
• Language: English
• Published: ORNL Distributed Active Archive Center 2024
• Subjects: BIOSPHERE, VEGETATION, VEGETATION INDEX, NORMALIZED DIFFERENCE VEGETATION INDEX NDVI; TERRESTRIAL HYDROSPHERE, SURFACE WATER, SURFACE WATER FEATURES, RIVERS/STREAMS; TERRESTRIAL HYDROSPHERE, SURFACE WATER, SURFACE WATER FEATURES, LAKES/RESERVOIRS; CLIMATE INDICATORS, TERRESTRIAL HYDROSPHERE INDICATORS, PERMAFROST MELT,; LAND SURFACE, TOPOGRAPHY, TOPOGRAPHIC EFFECTS,; TERRESTRIAL HYDROSPHERE, SURFACE WATER, WATERSHED CHARACTERISTICS,; ATMOSPHERE, ATMOSPHERIC CHEMISTRY, CARBON AND HYDROCARBON COMPOUNDS, ATMOSPHERIC CARBON DIOXIDE; TERRESTRIAL HYDROSPHERE, SURFACE WATER, SURFACE WATER FEATURES,; TERRESTRIAL HYDROSPHERE, SURFACE WATER, SURFACE WATER CHEMISTRY,; TERRESTRIAL HYDROSPHERE, WATER QUALITY/WATER CHEMISTRY, GASES, DISSOLVED CARBON DIOXIDE; TERRESTRIAL HYDROSPHERE, WATER QUALITY/WATER CHEMISTRY, GASES, DISSOLVED GASES; BIOSPHERE, ECOSYSTEMS, TERRESTRIAL ECOSYSTEMS, ALPINE/TUNDRA; LAND SURFACE, LAND USE/LAND COVER, LAND USE/LAND COVER CLASSIFICATION,; COMPUTERS, Computer; FIELD SURVEYS, WATER BOTTLES; SATELLITES, SENTINEL-1 C-SAR; SATELLITES, Sentinel-2 MSI; carbon sinks; landscape effects; methane emissions; CO2 emissions; dissolved methane; dissolved carbon dioxide; landcover map; Arctic; Kuskokwim; permafrost; Tundra; Alaska; Yukon
• Online Access: https://dx.doi.org/10.3334/ornldaac/2178; https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=2178

This dataset provides estimates of carbon dioxide (CO2) and methane (CH4) diffusive fluxes from waterbodies, and watershed landcover data for the central-interior of the Yukon-Kuskokwim Delta (YK delta), Alaska. Dissolved concentrations of methane and carbon dioxide were predicted using an integrated terrestrial-aquatic approach to scale observations based on landscape and waterbody remote sensing drivers. The observations include ~300 samples of surface water dissolved gases collected in July 2016-2019 from the central region of the YK Delta, Alaska. A machine learning model was used to generate estimated fluxes. Model inputs include Sentinel-2 MSI with derived normalized difference vegetation index (NDVI) and normalized difference water index (NDWI), an Arctic digital elevation model (DEM) with derived slope and flow accumulation, Sentinel-1 C-band July and December VV and VH composites, and a landcover map. Waterbody size, shape, and reflectance were determined using object-based image analysis in Google ...