Load example HEC-RAS hydraulic rasters

Loads a compact pair of depth and velocity GeoTIFFs derived from the 31 May 2022 HEC-RAS model output used by Cordero and Harris (Preprint). The sample shows the Big Blue-Kansas Rivers confluence near Manhattan, Kansas. Source cells were cropped to the manuscript's detailed visualization extent, aggregated from 3-foot to 18-foot cells, and converted to metres and metres per second. The raster geometry remains in the source project's documented NAD 1983 (CORS96) StatePlane Kansas North coordinate system.

Usage

mesohabitat_example_rasters(paths = FALSE)

Arguments

paths

Logical. If FALSE (default), return loaded SpatRaster objects. If TRUE, return their installed GeoTIFF paths.

Value

A named list with depth and velocity rasters or file paths.

References

Cordero, E. and Harris, A. (Preprint). Semi-Supervised and Supervised Machine Learning Approaches to Predicting Fluvial Mesohabitats from Satellite Data. SSRN. doi:10.2139/ssrn.7100727 .

Examples

x <- mesohabitat_example_rasters()
classify_mesohabitat_raster(x$depth, x$velocity)
#> class       : SpatRaster
#> size        : 230, 445, 1  (nrow, ncol, nlyr)
#> resolution  : 18, 18  (x, y)
#> extent      : 1725550, 1733560, 312049.5, 316189.5  (xmin, xmax, ymin, ymax)
#> coord. ref. : +proj=lcc +lat_0=38.3333333333333 +lon_0=-98 +lat_1=38.7166666666667 +lat_2=39.7833333333333 +x_0=400000 +y_0=0 +ellps=GRS80 +units=us-ft +no_defs
#> source(s)   : memory
#> categories  : mesohabitat
#> name        :           mesohabitat
#> min value   :          Shallow Pool
#> max value   : Faster than Deep Pool