#!/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 4992.0 7650.0 26.58289 56.895066666666665 -gcp 40704.0 7536.0 26.62455 56.895066666666665 -gcp 40776.0 40428.0 26.62455 56.87423666666667 -gcp 5040.0 40548.0 26.58289 56.87423666666667 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-003403-PLANSETE-084-d-7_3403.JPG LVVA-001679-0217-003403-PLANSETE-084-d-7_3403.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4992.0 7650.0\n40704.0 7536.0\n40776.0 40428.0\n5040.0 40548.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-003403-PLANSETE-084-d-7_3403.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-003403-PLANSETE-084-d-7_3403.vrt LVVA-001679-0217-003403-PLANSETE-084-d-7_3403.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-003403-PLANSETE-084-d-7_3403.cut.vrt LVVA-001679-0217-003403-PLANSETE-084-d-7_3403.xyz