#!/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 4398.0 5676.0 21.250295 56.624278333333336 -gcp 40344.0 5718.0 21.291955 56.624278333333336 -gcp 40494.0 39516.0 21.291955 56.60344833333333 -gcp 4416.0 39408.0 21.250295 56.60344833333333 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-000223-PLANSETE-005-e-11_0223.JPG LVVA-001679-0217-000223-PLANSETE-005-e-11_0223.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4398.0 5676.0\n40344.0 5718.0\n40494.0 39516.0\n4416.0 39408.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-000223-PLANSETE-005-e-11_0223.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-000223-PLANSETE-005-e-11_0223.vrt LVVA-001679-0217-000223-PLANSETE-005-e-11_0223.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-000223-PLANSETE-005-e-11_0223.cut.vrt LVVA-001679-0217-000223-PLANSETE-005-e-11_0223.xyz