#!/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 5040.0 6306.0 26.749533333333332 56.624278333333336 -gcp 41028.0 6288.0 26.791193333333332 56.624278333333336 -gcp 41040.0 39162.0 26.791193333333332 56.60344833333333 -gcp 5022.0 39174.0 26.749533333333332 56.60344833333333 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-003538-PLANSETE-085-e-11_3538.JPG LVVA-001679-0217-003538-PLANSETE-085-e-11_3538.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "5040.0 6306.0\n41028.0 6288.0\n41040.0 39162.0\n5022.0 39174.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-003538-PLANSETE-085-e-11_3538.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-003538-PLANSETE-085-e-11_3538.vrt LVVA-001679-0217-003538-PLANSETE-085-e-11_3538.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-003538-PLANSETE-085-e-11_3538.cut.vrt LVVA-001679-0217-003538-PLANSETE-085-e-11_3538.xyz