#!/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 4542.0 5556.0 21.416938333333334 56.72842833333333 -gcp 40422.0 5748.0 21.458598333333335 56.72842833333333 -gcp 40356.0 39504.0 21.458598333333335 56.70759833333334 -gcp 4464.0 39312.0 21.416938333333334 56.70759833333334 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-000189-PLANSETE-005-c-7_0189.JPG LVVA-001679-0217-000189-PLANSETE-005-c-7_0189.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4542.0 5556.0\n40422.0 5748.0\n40356.0 39504.0\n4464.0 39312.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-000189-PLANSETE-005-c-7_0189.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-000189-PLANSETE-005-c-7_0189.vrt LVVA-001679-0217-000189-PLANSETE-005-c-7_0189.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-000189-PLANSETE-005-c-7_0189.cut.vrt LVVA-001679-0217-000189-PLANSETE-005-c-7_0189.xyz