#!/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 4710.0 5922.0 22.333478333333332 56.47847 -gcp 40866.0 5964.0 22.375138333333332 56.47847 -gcp 40920.0 39702.0 22.375138333333332 56.45764 -gcp 4764.0 39654.0 22.333478333333332 56.45764 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-001179-PLANSETE-020-c-5_1179.JPG LVVA-001679-0217-001179-PLANSETE-020-c-5_1179.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4710.0 5922.0\n40866.0 5964.0\n40920.0 39702.0\n4764.0 39654.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-001179-PLANSETE-020-c-5_1179.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-001179-PLANSETE-020-c-5_1179.vrt LVVA-001679-0217-001179-PLANSETE-020-c-5_1179.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-001179-PLANSETE-020-c-5_1179.cut.vrt LVVA-001679-0217-001179-PLANSETE-020-c-5_1179.xyz