#!/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 3138.75 31392.343524180098 26.333333333333332 55.75 -gcp 3045.75 8736.709560867148 27.333333333333332 55.75 -gcp 22632.75 8626.627987770984 27.333333333333332 55.25 -gcp 22665.0 31565.544747081716 26.333333333333332 55.25 Latvijas_un_Lietuvas_topogr._kartes__Braslava_un_apkartne__6828_A1_L32_11_02.JPG Latvijas_un_Lietuvas_topogr._kartes__Braslava_un_apkartne__6828_A1_L32_11_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "12840.0 8654.985008328706\n3045.0 8736.0\n3121.5 20053.494169905607\n3138.0 31392.0\n12904.5 31475.998334258744\n22665.0 31566.0\n22683.0 20069.985008328706\n22635.0 8625.0" | \
  gdaltransform -tps -output_xy Latvijas_un_Lietuvas_topogr._kartes__Braslava_un_apkartne__6828_A1_L32_11_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  Latvijas_un_Lietuvas_topogr._kartes__Braslava_un_apkartne__6828_A1_L32_11_02.vrt Latvijas_un_Lietuvas_topogr._kartes__Braslava_un_apkartne__6828_A1_L32_11_02.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Latvijas_un_Lietuvas_topogr._kartes__Braslava_un_apkartne__6828_A1_L32_11_02.cut.vrt Latvijas_un_Lietuvas_topogr._kartes__Braslava_un_apkartne__6828_A1_L32_11_02.xyz