#!/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 2824.5 2926.6857142857143 27.5 56.75 -gcp 17193.0 3012.9306722689075 28 56.75 -gcp 17191.5 16492.075630252104 28 56.5 -gcp 2733.0 16392.13319327731 27.5 56.5 Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ludza_6828_A1_L25_95_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ludza_6828_A1_L25_95_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"2824.5 2926.6857142857143\n17193.0 3012.9306722689075\n17191.5 16492.075630252104\n2733.0 16392.13319327731\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ludza_6828_A1_L25_95_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ludza_6828_A1_L25_95_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ludza_6828_A1_L25_95_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_Ludza_6828_A1_L25_95_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ludza_6828_A1_L25_95_02.xyz