#!/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 1689.0 2614.8243697478993 27.5 56 -gcp 16380.0 2599.8714285714286 28 56 -gcp 16504.5 16048.899159663866 28 55.75 -gcp 1716.0 16077.39075630252 27.5 55.75 Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Indra_6828_A1_L25_98_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Indra_6828_A1_L25_98_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1689.0 2614.8243697478993\n16380.0 2599.8714285714286\n16504.5 16048.899159663866\n1716.0 16077.39075630252\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Indra_6828_A1_L25_98_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Indra_6828_A1_L25_98_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Indra_6828_A1_L25_98_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_Indra_6828_A1_L25_98_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Indra_6828_A1_L25_98_02.xyz