#!/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 1750.5 2781.235294117647 22 56.5 -gcp 16308.75 2794.727731092437 22.5 56.5 -gcp 16384.5 16281.194537815127 22.5 56.25 -gcp 1752.75 16274.891176470588 22 56.25 Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ezere_6828_A1_L25_18_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ezere_6828_A1_L25_18_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1750.5 2781.235294117647\n16308.75 2794.727731092437\n16384.5 16281.194537815127\n1752.75 16274.891176470588\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ezere_6828_A1_L25_18_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ezere_6828_A1_L25_18_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ezere_6828_A1_L25_18_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_Ezere_6828_A1_L25_18_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ezere_6828_A1_L25_18_02.xyz