CoastSeg: 30-m atlas of the coastal shoreline attributes of California, in geoJSON format.

CoastSeg: 30-m atlas of the coastal shoreline attributes of California, in geoJSON format.

This is a shoreline atlas of California at 30m resolution, to support analysis of CoastSat/CoastSeg-derived shoreline time-series and other shoreline data, and miscellaneous  analyses of coastal shoreline data. The dataset consists of a GeoJSON files containing a 30-m shoreline estimate for California, based on an analysis of 2014 Landsat imagery (Sayre et al., 2019). This shoreline vector has been attributed with the following fields that may be useful in analyses of shoreline patterns and regional variability:

MEAN_SIG_WAVEHEIGHT (m)

TIDAL_RANGE (m)

CHLOROPHYLL (mg/L)

TURBIDITY

TEMP_MOISTURE (descriptive)

EMU_PHYSICAL (descriptive)

REGIONAL_SINUOSITY

GHM

MAX_SLOPE (%)

OUTFLOW_DENSITY

ERODIBILITY (descriptive)

LENGTH_GEO

ch_label (descriptive)

river_label (descriptive)

sinuosity_label (descriptive)

slope_label (descriptive)

tidal_label (descriptive)

turbid_label (descriptive)

wave_label (descriptive)

CSU_Descriptor (descriptive)

CSU_ID

elevation (m)

aspect (degrees N)

slope (degrees)

Fields 1 to 21 inclusive originally come from raw data https://rmgsc.cr.usgs.gov/outgoing/ecosystems/Global/USGSEsriGlobalCoastalSegmentsv1.mpk, which is described in Sayre et al (2019)

Fields 22 and 24 come from raw data originally in the U.S. Geological Survey Elevation Derivatives for National Applications (EDNA) database (https://www.usgs.gov/centers/eros/science/usgs-eros-archive-digital-elevation-elevation-derivatives-national), accessed through Earth Explorer and processed in QGIS.

The figure shows distributions of selected quantities. A python script to reproduce this plot is provided

A subset of numeric-only variables and descriptive-only variables has also been prepared and made available. A CSV version of the full dataset is also provided

References

Roger Sayre, Suzanne Noble, Sharon Hamann, Rebecca Smith, Dawn Wright, Sean Breyer, Kevin Butler, Keith Van Graafeiland, Charlie Frye, Deniz Karagulle, Dabney Hopkins, Drew Stephens, Kevin Kelly, Zeenatul Basher, Devon Burton, Jill Cress, Karina Atkins, D. Paco Van Sistine, Beverly Friesen, Rebecca Allee, Tom Allen, Peter Aniello, Irawan Asaad, Mark John Costello, Kathy Goodin, Peter Harris, Maria Kavanaugh, Helen Lillis, Eleonora Manca, Frank Muller-Karger, Bjorn Nyberg, Rost Parsons, Justin Saarinen, Jac Steiner & Adam Reed (2019) A new 30 meter resolution global shoreline vector and associated global islands database for the development of standardized ecological coastal units, Journal of Operational Oceanography, 12:sup2, S47-S56, DOI: 10.1080/1755876X.2018.1529714

Elevation Derivatives for National Applications (EDNA) Seamless Three-Dimensional Hydrologic Database Digital Object Identifier (DOI) number: /10.5066/F7TD9VTQ