#!/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 1618.5 2572.741176470588 27 56 -gcp 16341.0 2667.4277310924367 27.5 56 -gcp 16344.0 16162.905042016806 27.5 55.75 -gcp 1545.0 16062.320168067226 27 55.75 Latvijas_dalas_Lietuvas_dalas_un_Iga_8Rifq62.kartes_Kraslava_6828_A1_L25_90_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Kraslava_6828_A1_L25_90_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1618.5 2572.741176470588\n16341.0 2667.4277310924367\n16344.0 16162.905042016806\n1545.0 16062.320168067226\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Kraslava_6828_A1_L25_90_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Kraslava_6828_A1_L25_90_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Kraslava_6828_A1_L25_90_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_Kraslava_6828_A1_L25_90_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Kraslava_6828_A1_L25_90_02.xyz