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Microbial biofilm communities are composed of fungi, bacteria, and phytoplankton taxonomic groups (e.g., cyanobacteria, diatoms, and chlorophytes), which inhabit the surface of intertidal mudflats. Such biofilms have critical roles in shorebird diets, mudflat stabilization, primary productivity, and carbon storage. These raster datasets represent the nutritional quality, quantity and pigment characteristics of biofilms located on the mudflats of South San Francisco Bay in Spring 2021, during peak shorebird migration. To produce these datasets, we used a multi-scalar remote sensing approach that coupled in-situ data with data from an ASD field spectrometer, a HySpex VNIR/SWIR imaging spectrometer (5 mm), and the...
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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....
Categories: Data;
Tags: C-band synthetic aperture radar,
Cape Cod,
Chesapeake Bay,
National greenhouse gas inventory,
Puget Sound, All tags...
Remote sensing,
San Francisco Bay,
St Mary Parish,
Terrebonne Parish,
The Everglades,
aboveground carbon stocks,
multispectral imagery,
plant biomass,
plant functional type,
tidal marsh biomass, Fewer tags
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Microbial biofilm communities are composed of fungi, bacteria, and phytoplankton taxonomic groups (e.g., cyanobacteria, diatoms, and chlorophytes), which inhabit the surface of intertidal mudflats. Such biofilms have critical roles in shorebird diets, mudflat stabilization, primary productivity, and carbon storage. These raster datasets represent the presence, nutritional quality, quantity, pigment characteristics, and likely taxonomic groups of biofilms located on the mudflats of South San Francisco Bay in Spring 2021, during peak shorebird migration. To produce these datasets, we used a multi-scalar remote sensing approach that coupled in-situ data coupled with data from an ASD field spectrometer, a HySpex VNIR/SWIR...
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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....
Categories: Data;
Tags: C-band synthetic aperture radar,
Cape Cod,
Carbon sequestration,
Chesapeake Bay,
Everglades National Park, All tags...
National greenhouse gas inventory,
Puget Sound,
San Francisco Bay,
St Mary Parish,
Terrebonne Parish,
aboveground carbon stocks,
multispectral imagery,
plant functional type,
tidal marsh biomass,
wetlands, Fewer tags
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Microbial biofilm communities are composed of fungi, bacteria, and phytoplankton taxonomic groups (e.g., chlorophytes, diatoms and cyanobacteria), which inhabit the surface of intertidal mudflats. Such biofilms have critical roles in shorebird diets, mudflat stabilization, primary productivity, and carbon storage. These raster datasets represent the likely relative proportion of three biofilm taxonomic groups – chlorophytes, diatoms, and cyanobacteria – located on the mudflats of South San Francisco Bay in Spring 2021, during peak shorebird migration. To produce these datasets, we used a multi-scalar remote sensing approach that coupled in-situ data with data from an ASD field spectrometer, a HySpex VNIR/SWIR imaging...
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