#!/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 1890.1576338400528 2673.16974789916 24 57.5 -gcp 15974.102775941838 2716.8411764705884 24.5 57.5 -gcp 16030.912425644416 16187.047899159665 24.5 57.25 -gcp 1825.8321216126901 16132.846218487393 24 57.25 Latvijas_dalas_Lietuvas_dalas_un_I_NuR6RcC.kartes_Saulkrasti_6828_A1_L25_35_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Saulkrasti_6828_A1_L25_35_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1890.1576338400528 2673.16974789916\n15974.102775941838 2716.8411764705884\n16030.912425644416 16187.047899159665\n1825.8321216126901 16132.846218487393\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Saulkrasti_6828_A1_L25_35_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Saulkrasti_6828_A1_L25_35_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Saulkrasti_6828_A1_L25_35_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_Saulkrasti_6828_A1_L25_35_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Saulkrasti_6828_A1_L25_35_02.xyz