#!/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 5202.0 5904.0 22.208495 57.207515 -gcp 40626.0 6048.0 22.250156666666665 57.207515 -gcp 40602.0 39774.0 22.250156666666665 57.186685 -gcp 5166.0 39654.0 22.208495 57.186685 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-001044-PLANSETE-017-b-10_1044.JPG LVVA-001679-0217-001044-PLANSETE-017-b-10_1044.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "5202.0 5904.0\n40626.0 6048.0\n40602.0 39774.0\n5166.0 39654.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-001044-PLANSETE-017-b-10_1044.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-001044-PLANSETE-017-b-10_1044.vrt LVVA-001679-0217-001044-PLANSETE-017-b-10_1044.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-001044-PLANSETE-017-b-10_1044.cut.vrt LVVA-001679-0217-001044-PLANSETE-017-b-10_1044.xyz