#!/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 3642.0 3052.9386554621847 26 57.5 -gcp 17796.0 3073.8848739495797 26.5 57.5 -gcp 17839.5 16557.653781512607 26.5 57.25 -gcp 3619.5 16525.857142857145 26 57.25 Latvijas_dalas_Lietuvas_dalas_un_Iga_OvZzsrh.kartes_Palsmane_6828_A1_L25_69_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Palsmane_6828_A1_L25_69_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"3642.0 3052.9386554621847\n17796.0 3073.8848739495797\n17839.5 16557.653781512607\n3619.5 16525.857142857145\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Palsmane_6828_A1_L25_69_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Palsmane_6828_A1_L25_69_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Palsmane_6828_A1_L25_69_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_Palsmane_6828_A1_L25_69_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Palsmane_6828_A1_L25_69_02.xyz