#!/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 3388.5 2763.2680672268907 25 56.25 -gcp 18033.0 2856.4268907563023 25.5 56.25 -gcp 18025.5 16353.51512605042 25.5 56 -gcp 3306.0 16261.830252100839 25 56 Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Nereta_6828_A1_L25_57_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Nereta_6828_A1_L25_57_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"3388.5 2763.2680672268907\n18033.0 2856.4268907563023\n18025.5 16353.51512605042\n3306.0 16261.830252100839\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Nereta_6828_A1_L25_57_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Nereta_6828_A1_L25_57_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Nereta_6828_A1_L25_57_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_Nereta_6828_A1_L25_57_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Nereta_6828_A1_L25_57_02.xyz