#!/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 2027.25 2419.6878151260503 21.5 57.75 -gcp 16084.5 2442.3672268907567 22 57.75 -gcp 16146.0 15895.726890756301 22 57.5 -gcp 1983.0 15859.85294117647 21.5 57.5 Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ovisi_6828_A1_L25_7_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ovisi_6828_A1_L25_7_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"2027.25 2419.6878151260503\n16084.5 2442.3672268907567\n16146.0 15895.726890756301\n1983.0 15859.85294117647\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ovisi_6828_A1_L25_7_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ovisi_6828_A1_L25_7_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ovisi_6828_A1_L25_7_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_Ovisi_6828_A1_L25_7_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Ovisi_6828_A1_L25_7_02.xyz