#!/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 1762.5 2350.6823529411763 23 57.25 -gcp 16012.5 2325.3714285714286 23.5 57.25 -gcp 16098.0 15786.024369747898 23.5 57 -gcp 1789.5 15802.349579831933 23 57 Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Engure_6828_A1_L25_26_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Engure_6828_A1_L25_26_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1762.5 2350.6823529411763\n16012.5 2325.3714285714286\n16098.0 15786.024369747898\n1789.5 15802.349579831933\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Engure_6828_A1_L25_26_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Engure_6828_A1_L25_26_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Engure_6828_A1_L25_26_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_Engure_6828_A1_L25_26_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Engure_6828_A1_L25_26_02.xyz