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Biomass/Remote Sensing dataset: 30m resolution tidal marsh biomass samples and remote sensing data for six regions in the conterminous United States

Dates

Publication Date
Start Date
1997
End Date
2015

Citation

Byrd, K.B., Ballanti, L.R., Thomas, N.M., Nguyen, D.K., Holmquist, J.R., Simard, M., Windham-Myers, L., Schile, L.M., Parker, V.T., Callaway, J.C., Vasey, M.C., Herbert, E.R., Davis, M.J., Woo, I., De La Cruz, S., Kroeger, K.D., Gonneea, M.E., O'Keefe Suttles, J., Megonigal, J.P., Lu, M., McFarland, E.K., Brooks, H.E.A., Drake, B.G., Peresta, G., Peresta, A., Troxler, T., Castaneda-Moya, E., 2017, Biomass/Remote Sensing dataset: 30m resolution tidal marsh biomass samples and remote sensing data for six regions in the conterminous United States: U.S. Geological Survey data release, https://doi.org/10.5066/F77943K8.

Summary

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.

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Attached Files

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Biomass_RemoteSensingDataset (1).xml
Original FGDC Metadata

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197.13 KB
Biomass_RemoteSensingDataset_Final.csv 926.7 KB

Purpose

Data were obtained in order to assess how plant community composition and vegetation structure differences across estuaries influence model development, and whether data from multiple sensors, in particular Sentinel-1 C-band synthetic aperture radar and Landsat, can improve model performance.

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