#!/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 4896.0 6930.0 26.999498333333335 56.54096 -gcp 41142.0 6804.0 27.041158333333332 56.54096 -gcp 41220.0 39648.0 27.041158333333332 56.52013 -gcp 4938.0 39762.0 26.999498333333335 56.52013 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-003694-PLANSETE-094-g-9_3694.JPG LVVA-001679-0217-003694-PLANSETE-094-g-9_3694.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4896.0 6930.0\n41142.0 6804.0\n41220.0 39648.0\n4938.0 39762.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-003694-PLANSETE-094-g-9_3694.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-003694-PLANSETE-094-g-9_3694.vrt LVVA-001679-0217-003694-PLANSETE-094-g-9_3694.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-003694-PLANSETE-094-g-9_3694.cut.vrt LVVA-001679-0217-003694-PLANSETE-094-g-9_3694.xyz