#!/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 4872.0 5958.0 22.00019 56.4993 -gcp 40974.0 5952.0 22.041851666666666 56.4993 -gcp 41118.0 39678.0 22.041851666666666 56.47847 -gcp 5004.0 39720.0 22.00019 56.47847 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-001149-PLANSETE-020-a-1_1149.JPG LVVA-001679-0217-001149-PLANSETE-020-a-1_1149.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4872.0 5958.0\n40974.0 5952.0\n41118.0 39678.0\n5004.0 39720.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-001149-PLANSETE-020-a-1_1149.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-001149-PLANSETE-020-a-1_1149.vrt LVVA-001679-0217-001149-PLANSETE-020-a-1_1149.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-001149-PLANSETE-020-a-1_1149.cut.vrt LVVA-001679-0217-001149-PLANSETE-020-a-1_1149.xyz