Filters: Tags: National greenhouse gas inventory (X)3 results (25ms)
Tidal marsh biomass field plot and remote sensing datasets for six regions in the conterminous United States
Remote sensing based maps of tidal marshes, both of their extents and carbon stocks, have the potential to play a key role in conducting greenhouse gas inventories and implementing climate mitigation policies. Our objective was to generate a single remote sensing model of tidal marsh aboveground biomass and carbon that represents nationally diverse tidal marshes within the conterminous United States (CONUS). To meet this objective we developed the first national-scale dataset of aboveground tidal marsh biomass, species composition, and aboveground plant carbon content (%C) from six CONUS regions: Cape Cod, MA, Chesapeake Bay, MD, Everglades, FL, Mississippi Delta, LA, San Francisco Bay, CA, and Puget Sound, WA....
Biomass Field Plot dataset: Tidal marsh biomass field plot samples for six regions in the conterminous United States
This tidal marsh biomass field plot dataset is a compilation of aboveground tidal marsh biomass and species composition field measurements from six CONUS regions: Cape Cod, MA, Chesapeake Bay, MD, Everglades, FL, Mississippi Delta, LA, San Francisco Bay, CA, and Puget Sound, WA.
Biomass/Remote Sensing dataset: 30m resolution tidal marsh biomass samples and remote sensing data for six regions in the conterminous United States
This 30m scale dataset joins Landsat pixel footprint average field-measured biomass values, dominant species and other ancillary information with Landsat band surface reflectance and vegetation indices, NAIP-based percent cover of green vegetation, non-vegetation and open water per Landsat pixel, and Sentinel-1 radar backscatter metrics. Field sample plots were collected at each sentinel site and compiled using landsat pixel cell id as a unique identifier.