#!/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 5208.0 6570.0 27.666073333333333 56.70759833333334 -gcp 41316.0 6438.0 27.707733333333334 56.70759833333334 -gcp 41376.0 39294.0 27.707733333333334 56.68676833333333 -gcp 5262.0 39420.0 27.666073333333333 56.68676833333333 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-003798-PLANSETE-103-b-9_3798.JPG LVVA-001679-0217-003798-PLANSETE-103-b-9_3798.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "5208.0 6570.0\n41316.0 6438.0\n41376.0 39294.0\n5262.0 39420.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-003798-PLANSETE-103-b-9_3798.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-003798-PLANSETE-103-b-9_3798.vrt LVVA-001679-0217-003798-PLANSETE-103-b-9_3798.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-003798-PLANSETE-103-b-9_3798.cut.vrt LVVA-001679-0217-003798-PLANSETE-103-b-9_3798.xyz