#!/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 2244.7495219885277 3303.5730149916717 22 57.75 -gcp 30342.564053537284 3207.696279844531 22.5 57.75 -gcp 30579.90057361377 29517.338145474736 22.5 57.5 -gcp 2166.7036328871895 29598.794558578564 22 57.5 LAT075_15-Dundaga.jpg LAT075_15-Dundaga.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "2244.7495219885277 3303.5730149916717\n30342.564053537284 3207.696279844531\n30579.90057361377 29517.338145474736\n2166.7036328871895 29598.794558578564" | \
  gdaltransform -tps -output_xy LAT075_15-Dundaga.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LAT075_15-Dundaga.vrt LAT075_15-Dundaga.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LAT075_15-Dundaga.cut.vrt LAT075_15-Dundaga.xyz