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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
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