#!/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 2367.0 2575.6242356864923 26.2766666 57 -gcp 22105.5 2686.7426347971095 26.2766666 56.5 -gcp 21976.5 32932.806837131735 24.926666599999997 56.5 -gcp 2277.0 32557.739299610894 24.926666599999997 57 Latvijas_un_Igaunijas_topografiskas_Jaunjelgava-Jekabpils_6828_A1_L36_23_02.JPG Latvijas_un_Igaunijas_topografiskas_Jaunjelgava-Jekabpils_6828_A1_L36_23_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "12229.5 2630.2495835646864\n2367.0 2577.0\n2344.5 17584.50999444753\n2273.25 32555.25124930594\n12125.25 32764.510827318154\n21973.5 32931.001665741256\n22057.5 17826.010827318154\n22107.0 2685.0" | \
  gdaltransform -tps -output_xy Latvijas_un_Igaunijas_topografiskas_Jaunjelgava-Jekabpils_6828_A1_L36_23_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  Latvijas_un_Igaunijas_topografiskas_Jaunjelgava-Jekabpils_6828_A1_L36_23_02.vrt Latvijas_un_Igaunijas_topografiskas_Jaunjelgava-Jekabpils_6828_A1_L36_23_02.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Latvijas_un_Igaunijas_topografiskas_Jaunjelgava-Jekabpils_6828_A1_L36_23_02.cut.vrt Latvijas_un_Igaunijas_topografiskas_Jaunjelgava-Jekabpils_6828_A1_L36_23_02.xyz