#' Title
#'
#' @param y
#' @param water_type
#' @param scale
#' @param tidy_extract
#'
#' @return
#' @export
#'
#' @examples
extract_nearest_water_pixel_distance <- function(y,
water_type="permanent",
scale=30,
tidy_extract=T,
year_range=c(2017,2020),
via
){
start_date <- paste0(year_range, "-01-01")[1]
end_date <- paste0(year_range, "-01-01")[2]
name_suffix <- glue::glue("{lubridate::year(start_date)}{lubridate::year(end_date)}")
water_yearly <- rgee::ee$ImageCollection("JRC/GSW1_3/YearlyHistory")
water_yearly_recent <- water_yearly$filterDate(start_date,end_date)
boolean_input <- switch(water_type,
"all"=">=",
"seasonal"="=",
"permanent"="="
)
val_input <- switch(water_type,
"all"=2,
"seasonal"=2,
"permanent"=3
)
res <- ee_closest_distance_to_val(x = water_yearly_recent,
y = y,
boolean = boolean_input,
val = val_input,
scale = scale,tidy_extract=tidy_extract,via=via)
res |>
group_by(new_uid) |>
summarise(value=mean(value,na.rm=T)) |>
mutate(name= glue::glue('avg_dist_perm_water_pix_{name_suffix}'))
}
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