#!/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 4800.0 7374.0 24.166556666666665 56.291001666666666 -gcp 41100.0 7392.0 24.208218333333335 56.291001666666666 -gcp 41046.0 40248.0 24.208218333333335 56.27017166666667 -gcp 4728.0 40254.0 24.166556666666665 56.27017166666667 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-002955-PLANSETE-041-h-9_2955.JPG LVVA-001679-0217-002955-PLANSETE-041-h-9_2955.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4800.0 7374.0\n41100.0 7392.0\n41046.0 40248.0\n4728.0 40254.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-002955-PLANSETE-041-h-9_2955.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-002955-PLANSETE-041-h-9_2955.vrt LVVA-001679-0217-002955-PLANSETE-041-h-9_2955.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-002955-PLANSETE-041-h-9_2955.cut.vrt LVVA-001679-0217-002955-PLANSETE-041-h-9_2955.xyz