#!/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 4842.0 7650.0 24.499845 56.37432 -gcp 41016.0 7596.0 24.541505 56.37432 -gcp 41058.0 40422.0 24.541505 56.35349 -gcp 4878.0 40482.0 24.499845 56.35349 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-003211-PLANSETE-050-d-9_3211.JPG LVVA-001679-0217-003211-PLANSETE-050-d-9_3211.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4842.0 7650.0\n41016.0 7596.0\n41058.0 40422.0\n4878.0 40482.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-003211-PLANSETE-050-d-9_3211.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-003211-PLANSETE-050-d-9_3211.vrt LVVA-001679-0217-003211-PLANSETE-050-d-9_3211.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-003211-PLANSETE-050-d-9_3211.cut.vrt LVVA-001679-0217-003211-PLANSETE-050-d-9_3211.xyz