#!/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 4860.0 6840.0 27.54109 56.4993 -gcp 41124.0 6690.0 27.58275 56.4993 -gcp 41220.0 39582.0 27.58275 56.47847 -gcp 4938.0 39702.0 27.54109 56.47847 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-003911-PLANSETE-104-a-2_3911.JPG LVVA-001679-0217-003911-PLANSETE-104-a-2_3911.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4860.0 6840.0\n41124.0 6690.0\n41220.0 39582.0\n4938.0 39702.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-003911-PLANSETE-104-a-2_3911.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-003911-PLANSETE-104-a-2_3911.vrt LVVA-001679-0217-003911-PLANSETE-104-a-2_3911.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-003911-PLANSETE-104-a-2_3911.cut.vrt LVVA-001679-0217-003911-PLANSETE-104-a-2_3911.xyz