#!/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 1992.2440514469454 684.9861188228763 35.99670716 72.00020465 -gcp 16646.48729903537 696.944058856191 47.99709773 72.00039614 -gcp 18181.665916398713 16431.19489172682 47.99760554 68.00032752 -gcp 427.65627009646306 16417.691560244308 35.9972833 68.00014075 -gcp 9316.125 1048.916018878401 41.99688538 72.00030341 -gcp 9306.375 16856.337243198224 41.99743034 68.00023707 vlasenko/north/r-37_38.jpg r-37_38.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "1992.2440514469454 684.9861188228763\n16646.48729903537 696.944058856191\n18181.665916398713 16431.19489172682\n427.65627009646306 16417.691560244308" | \
  gdaltransform -tps -output_xy r-37_38.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  r-37_38.vrt r-37_38.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES r-37_38.cut.vrt r-37_38.xyz