#!/bin/bash

GDAL_TILE_PROCESSES=16
GDAL_TILE_ZOOMS=8-14
GDAL_SAMPLING_WARP=cubic
GDAL_SAMPLING_TILE=antialias

# Create virtual dataset with coordinates
gdal_translate -of VRT -a_srs EPSG:4326 -outsize 300% 300% -gcp 5214.0 5874.0 23.125035 57.103365 -gcp 40734.0 5988.0 23.166695 57.103365 -gcp 40728.0 39768.0 23.166695 57.082535 -gcp 5178.0 39624.0 23.125035 57.082535 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-001853-PLANSETE-028-d-16_1853.JPG LVVA-001679-0217-001853-PLANSETE-028-d-16_1853.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "5214.0 5874.0\n40734.0 5988.0\n40728.0 39768.0\n5178.0 39624.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-001853-PLANSETE-028-d-16_1853.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-001853-PLANSETE-028-d-16_1853.vrt LVVA-001679-0217-001853-PLANSETE-028-d-16_1853.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-001853-PLANSETE-028-d-16_1853.cut.vrt LVVA-001679-0217-001853-PLANSETE-028-d-16_1853.xyz