#!/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 1858.726040978189 2464.652100840336 22.5 57.25 -gcp 16052.002643754131 2515.9033613445376 23 57.25 -gcp 16054.87673496365 15958.805042016807 23 57 -gcp 1802.402181097158 15916.66386554622 22.5 57 Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Talsi_6828_A1_L25_21_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Talsi_6828_A1_L25_21_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1858.726040978189 2464.652100840336\n16052.002643754131 2515.9033613445376\n16054.87673496365 15958.805042016807\n1802.402181097158 15916.66386554622\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Talsi_6828_A1_L25_21_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Talsi_6828_A1_L25_21_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Talsi_6828_A1_L25_21_02.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Talsi_6828_A1_L25_21_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Talsi_6828_A1_L25_21_02.xyz