#!/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 4578.0 6684.0 27.707733333333334 56.041043333333334 -gcp 41304.0 6570.0 27.749395 56.041043333333334 -gcp 41376.0 39438.0 27.749395 56.02021333333333 -gcp 4632.0 39552.0 27.707733333333334 56.02021333333333 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-004090-PLANSETE-105-h-10_4090.JPG LVVA-001679-0217-004090-PLANSETE-105-h-10_4090.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4578.0 6684.0\n41304.0 6570.0\n41376.0 39438.0\n4632.0 39552.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-004090-PLANSETE-105-h-10_4090.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-004090-PLANSETE-105-h-10_4090.vrt LVVA-001679-0217-004090-PLANSETE-105-h-10_4090.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-004090-PLANSETE-105-h-10_4090.cut.vrt LVVA-001679-0217-004090-PLANSETE-105-h-10_4090.xyz