#!/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 3261.0 3102.0 22.5 57 -gcp 19398.0 3180.0 23.25 57 -gcp 19383.0 23385.0 23.25 56.5 -gcp 3063.0 23286.0 22.5 56.5 lvva/Igaunijas_un_Latvijas_terit._dalu_topogr._kartes_Jelgava-_ZR_6828_A1_L31_24_02.JPG Igaunijas_un_Latvijas_terit._dalu_topogr._kartes_Jelgava-_ZR_6828_A1_L31_24_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "3261.0 3102.0\n19398.0 3180.0\n19383.0 23385.0\n3063.0 23286.0" | \
  gdaltransform -tps -output_xy Igaunijas_un_Latvijas_terit._dalu_topogr._kartes_Jelgava-_ZR_6828_A1_L31_24_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  Igaunijas_un_Latvijas_terit._dalu_topogr._kartes_Jelgava-_ZR_6828_A1_L31_24_02.vrt Igaunijas_un_Latvijas_terit._dalu_topogr._kartes_Jelgava-_ZR_6828_A1_L31_24_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-_ZR_6828_A1_L31_24_02.cut.vrt Igaunijas_un_Latvijas_terit._dalu_topogr._kartes_Jelgava-_ZR_6828_A1_L31_24_02.xyz