RootScapeMetric relies on Landscapemetrics to extract 'Root Scape' Features akin to landscape analysis.

RootScapeMetric relies on Landscapemetrics to extract 'Root Scape' Features akin to landscape analysis.

Usage

root_scape_metrics(
  img,
  indexD = NA,
  select.layer = NULL,
  metrics = c("lsm_c_ca", "lsm_l_ent", "lsm_c_pd", "lsm_c_np", "lsm_c_pland",
    "lsm_c_area_mn", "lsm_c_area_cv", "lsm_c_enn_mn", "lsm_c_enn_cv")
)

Arguments

img

segmented raster (values = 0,1). Consider whether skeletonized raster is appropriate.

indexD

please specify depth. Will only affect the output column = "depth". Useful when used in a loop.

select.layer

Integer. Specifies which layer to use if the input is a multi-band image. Default is `2`.

metrics

which ,metrics should be calculated from the available ones in 'landscapemetrics::calculate_lsm()'.

Value

a bunch of metric values

Examples

data(seg_Oulanka2023_Session01_T067)
img = terra::rast(seg_Oulanka2023_Session01_T067)
RootScapeObject  = root_scape_metrics(img,indexD = 80, select.layer = 2,  metrics = c("lsm_c_ca"))
#> Warning: Please use 'check_landscape()' to ensure the input data is valid.