#!/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 2050.787492762015 1168.760144524736 26 57.75 -gcp 10074.414302258252 1185.2659811006115 27.5 57.75 -gcp 10115.441951360743 7537.744302390216 27.5 57.11666666666667 -gcp 1977.2249565720904 7505.358393551973 26 57.11666666666667 k_001_kta-3-415_44.jpeg k_001_kta-3-415_44.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "2050.787492762015 1168.760144524736\n10074.414302258252 1185.2659811006115\n10115.441951360743 7537.744302390216\n1977.2249565720904 7505.358393551973" | \
  gdaltransform -tps -output_xy k_001_kta-3-415_44.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_kta-3-415_44.vrt k_001_kta-3-415_44.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES k_001_kta-3-415_44.cut.vrt k_001_kta-3-415_44.xyz