#!/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 1528.5 2005.6974789915967 24 57.25 -gcp 15537.0 2095.81512605042 24.5 57.25 -gcp 15576.025291134643 15407.244234137645 24.5 57 -gcp 1524.0 15340.82268907563 24 57 Latvijas_dalas_Lietuvas_dalas_un__cLpm0bg.kartes_Daugavgriva_6828_A1_L25_36_02.JPG Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Daugavgriva_6828_A1_L25_36_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1528.5 2005.6974789915967\n15537.0 2095.81512605042\n15583.5 15404.999159663867\n1524.0 15335.997478991598\" | \
  gdaltransform -tps -output_xy Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Daugavgriva_6828_A1_L25_36_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Daugavgriva_6828_A1_L25_36_02.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Daugavgriva_6828_A1_L25_36_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_Daugavgriva_6828_A1_L25_36_02.cut.vrt Latvijas_dalas_Lietuvas_dalas_un_Igaunijas_top.kartes_Daugavgriva_6828_A1_L25_36_02.xyz