#!/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 5232.0 7260.0 24.208218333333335 56.624278333333336 -gcp 41172.0 7350.0 24.249878333333335 56.624278333333336 -gcp 41082.0 40176.0 24.249878333333335 56.60344833333333 -gcp 5094.0 40098.0 24.208218333333335 56.60344833333333 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-002763-PLANSETE-040-e-10_2763.JPG LVVA-001679-0217-002763-PLANSETE-040-e-10_2763.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "5232.0 7260.0\n41172.0 7350.0\n41082.0 40176.0\n5094.0 40098.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-002763-PLANSETE-040-e-10_2763.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-002763-PLANSETE-040-e-10_2763.vrt LVVA-001679-0217-002763-PLANSETE-040-e-10_2763.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-002763-PLANSETE-040-e-10_2763.cut.vrt LVVA-001679-0217-002763-PLANSETE-040-e-10_2763.xyz