#!/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 4962.0 6354.0 23.166695 56.54096 -gcp 41028.0 6450.0 23.208356666666667 56.54096 -gcp 41040.0 40224.0 23.208356666666667 56.52013 -gcp 4932.0 40080.0 23.166695 56.52013 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-002172-PLANSETE-030-h-9_2172.JPG LVVA-001679-0217-002172-PLANSETE-030-h-9_2172.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4962.0 6354.0\n41028.0 6450.0\n41040.0 40224.0\n4932.0 40080.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-002172-PLANSETE-030-h-9_2172.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-002172-PLANSETE-030-h-9_2172.vrt LVVA-001679-0217-002172-PLANSETE-030-h-9_2172.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-002172-PLANSETE-030-h-9_2172.cut.vrt LVVA-001679-0217-002172-PLANSETE-030-h-9_2172.xyz