#!/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 4380.0 5880.0 21.250295 56.41598 -gcp 40566.0 5958.0 21.291955 56.41598 -gcp 40602.0 39702.0 21.291955 56.39515 -gcp 4434.0 39630.0 21.250295 56.39515 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-000382-PLANSETE-006-e-3_0382.JPG LVVA-001679-0217-000382-PLANSETE-006-e-3_0382.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4380.0 5880.0\n40566.0 5958.0\n40602.0 39702.0\n4434.0 39630.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-000382-PLANSETE-006-e-3_0382.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-000382-PLANSETE-006-e-3_0382.vrt LVVA-001679-0217-000382-PLANSETE-006-e-3_0382.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-000382-PLANSETE-006-e-3_0382.cut.vrt LVVA-001679-0217-000382-PLANSETE-006-e-3_0382.xyz