#!/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 2934.0 3120.0 23.25 57 -gcp 19074.0 3237.0 24 57 -gcp 19200.0 23472.0 24 56.5 -gcp 2871.0 23334.0 23.25 56.5 lvva/Igaunijas_un_Latvijas_terit._dalu_topogr._kartes_Jelgava-_ZA_6828_A1_L31_23_02.JPG Igaunijas_un_Latvijas_terit._dalu_topogr._kartes_Jelgava-_ZA_6828_A1_L31_23_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "2934.0 3120.0\n19074.0 3237.0\n19200.0 23472.0\n2871.0 23334.0" | \
  gdaltransform -tps -output_xy Igaunijas_un_Latvijas_terit._dalu_topogr._kartes_Jelgava-_ZA_6828_A1_L31_23_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  Igaunijas_un_Latvijas_terit._dalu_topogr._kartes_Jelgava-_ZA_6828_A1_L31_23_02.vrt Igaunijas_un_Latvijas_terit._dalu_topogr._kartes_Jelgava-_ZA_6828_A1_L31_23_02.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Igaunijas_un_Latvijas_terit._dalu_topogr._kartes_Jelgava-_ZA_6828_A1_L31_23_02.cut.vrt Igaunijas_un_Latvijas_terit._dalu_topogr._kartes_Jelgava-_ZA_6828_A1_L31_23_02.xyz