data <- dsmSearch::get_dsm_30(bbox = c(-83.783557,42.241833,-83.696525,42.310420), key = "Your KEY")
# search for lidar data information using bbox
search_result <- dsmSearch::lidar_search(bbox = c(-83.742282,
42.273389,
-83.733442,
42.278724),
preview = FALSE)
search_result
# try coordinates -83.741289,42.270146 (in south Michigan, USA)
# radius is 1000ft
las <- dsmSearch::get_lidar(x = -83.741289,
y = 42.270146,
r = 1000,
epsg = 2253)
# download with bbox
las <- dsmSearch::get_lidar(bbox = c(-83.742282,42.273389,-83.733442,42.278724),
epsg = 2253)
# Create DTM
dtm_ <- lidR::rasterize_terrain(las, res = 5, lidR::tin())
terra::plot(dtm_)
# Create DSM
dsm_ <- lidR::rasterize_canopy(las, res = 5, lidR::dsmtin())
raster::plot(dsm_)
For more usages of lidR please refer: https://github.com/r-lidar/lidR/tree/master and https://rpubs.com/jesseast/lidR4smarties