#!/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 4794.0 5856.0 21.50026 57.270005 -gcp 40176.0 6030.0 21.54192 57.270005 -gcp 40110.0 39810.0 21.54192 57.249175 -gcp 4722.0 39654.0 21.50026 57.249175 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-000627-PLANSETE-009-g-13_0627.JPG LVVA-001679-0217-000627-PLANSETE-009-g-13_0627.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4794.0 5856.0\n40176.0 6030.0\n40110.0 39810.0\n4722.0 39654.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-000627-PLANSETE-009-g-13_0627.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-000627-PLANSETE-009-g-13_0627.vrt LVVA-001679-0217-000627-PLANSETE-009-g-13_0627.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-000627-PLANSETE-009-g-13_0627.cut.vrt LVVA-001679-0217-000627-PLANSETE-009-g-13_0627.xyz