#!/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 1590.0 2488.9268907563023 23.5 56.5 -gcp 16120.5 2484.3705882352942 24 56.5 -gcp 16236.0 15960.353781512604 24 56.25 -gcp 1615.5 15976.884033613445 23.5 56.25 Latvijas_dalas_Lietuvas_dalas_un_Igau_NV0zr5k.kartes_Platone_6828_A1_L25_32_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Platone_6828_A1_L25_32_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1590.0 2488.9268907563023\n16120.5 2484.3705882352942\n16236.0 15960.353781512604\n1615.5 15976.884033613445\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Platone_6828_A1_L25_32_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Platone_6828_A1_L25_32_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Platone_6828_A1_L25_32_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_Platone_6828_A1_L25_32_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Platone_6828_A1_L25_32_02.xyz