#!/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 5022.0 6018.0 21.95853 56.52013 -gcp 41040.0 6186.0 22.00019 56.52013 -gcp 41034.0 39924.0 22.00019 56.4993 -gcp 4944.0 39756.0 21.95853 56.4993 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-000898-PLANSETE-012-i-16_0898.JPG LVVA-001679-0217-000898-PLANSETE-012-i-16_0898.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "5022.0 6018.0\n41040.0 6186.0\n41034.0 39924.0\n4944.0 39756.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-000898-PLANSETE-012-i-16_0898.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-000898-PLANSETE-012-i-16_0898.vrt LVVA-001679-0217-000898-PLANSETE-012-i-16_0898.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-000898-PLANSETE-012-i-16_0898.cut.vrt LVVA-001679-0217-000898-PLANSETE-012-i-16_0898.xyz