#!/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 2350.5 3045.6100840336135 24.416666666666668 58.25 -gcp 18481.5 3021.3453781512603 25 58.25 -gcp 18589.5 16487.08655462185 25 58 -gcp 2346.0 16506.385714285716 24.416666666666668 58 Latvijas_dalas_Lietuvas_dalas_u_oPZppLx.kartes_Kilingi-Nemme_6828_A1_L25_41_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Kilingi-Nemme_6828_A1_L25_41_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"2350.5 3045.6100840336135\n18481.5 3021.3453781512603\n18589.5 16487.08655462185\n2346.0 16506.385714285716\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Kilingi-Nemme_6828_A1_L25_41_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Kilingi-Nemme_6828_A1_L25_41_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Kilingi-Nemme_6828_A1_L25_41_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_Kilingi-Nemme_6828_A1_L25_41_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Kilingi-Nemme_6828_A1_L25_41_02.xyz