#!/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 4950.0 6570.0 27.707733333333334 56.774253333333334 -gcp 40908.0 6390.0 27.716065 56.774253333333334 -gcp 41016.0 39210.0 27.716065 56.770088333333334 -gcp 5070.0 39378.0 27.707733333333334 56.770088333333334 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-003755-PLANSETE-102-h-10-XXI_3755.JPG LVVA-001679-0217-003755-PLANSETE-102-h-10-XXI_3755.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4950.0 6570.0\n40908.0 6390.0\n41016.0 39210.0\n5070.0 39378.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-003755-PLANSETE-102-h-10-XXI_3755.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-003755-PLANSETE-102-h-10-XXI_3755.vrt LVVA-001679-0217-003755-PLANSETE-102-h-10-XXI_3755.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-003755-PLANSETE-102-h-10-XXI_3755.cut.vrt LVVA-001679-0217-003755-PLANSETE-102-h-10-XXI_3755.xyz