#!/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 4992.0 5982.0 21.666903333333334 57.45747333333333 -gcp 40218.0 6030.0 21.708565 57.45747333333333 -gcp 40248.0 39822.0 21.708565 57.436643333333336 -gcp 5046.0 39750.0 21.666903333333334 57.436643333333336 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-000585-PLANSETE-009-b-9_0585.JPG LVVA-001679-0217-000585-PLANSETE-009-b-9_0585.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4992.0 5982.0\n40218.0 6030.0\n40248.0 39822.0\n5046.0 39750.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-000585-PLANSETE-009-b-9_0585.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-000585-PLANSETE-009-b-9_0585.vrt LVVA-001679-0217-000585-PLANSETE-009-b-9_0585.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-000585-PLANSETE-009-b-9_0585.cut.vrt LVVA-001679-0217-000585-PLANSETE-009-b-9_0585.xyz