#!/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 2205.8279158699806 3366.9094947251524 22 57.5 -gcp 30558.770554493305 3288.7062742920602 22.5 57.5 -gcp 30711.852772466536 29730.456413103835 22.5 57.25 -gcp 2187.7399617590827 29799.79122709606 22 57.25 LAT075_16-Ugale.jpg LAT075_16-Ugale.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "2205.8279158699806 3366.9094947251524\n30558.770554493305 3288.7062742920602\n30711.852772466536 29730.456413103835\n2187.7399617590827 29799.79122709606" | \
  gdaltransform -tps -output_xy LAT075_16-Ugale.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LAT075_16-Ugale.vrt LAT075_16-Ugale.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LAT075_16-Ugale.cut.vrt LAT075_16-Ugale.xyz