#!/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 4734.0 6732.0 27.749395 56.33266 -gcp 41142.0 6570.0 27.791055 56.33266 -gcp 41238.0 39420.0 27.791055 56.31183166666667 -gcp 4794.0 39552.0 27.749395 56.31183166666667 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-003974-PLANSETE-104-h-3_3974.JPG LVVA-001679-0217-003974-PLANSETE-104-h-3_3974.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4734.0 6732.0\n41142.0 6570.0\n41238.0 39420.0\n4794.0 39552.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-003974-PLANSETE-104-h-3_3974.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-003974-PLANSETE-104-h-3_3974.vrt LVVA-001679-0217-003974-PLANSETE-104-h-3_3974.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-003974-PLANSETE-104-h-3_3974.cut.vrt LVVA-001679-0217-003974-PLANSETE-104-h-3_3974.xyz