#!/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 5070.0 5874.0 23.083373333333334 57.145025 -gcp 40560.0 5934.0 23.125035 57.145025 -gcp 40584.0 39678.0 23.125035 57.124195 -gcp 5082.0 39612.0 23.083373333333334 57.124195 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-001844-PLANSETE-028-d-7_1844.JPG LVVA-001679-0217-001844-PLANSETE-028-d-7_1844.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "5070.0 5874.0\n40560.0 5934.0\n40584.0 39678.0\n5082.0 39612.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-001844-PLANSETE-028-d-7_1844.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-001844-PLANSETE-028-d-7_1844.vrt LVVA-001679-0217-001844-PLANSETE-028-d-7_1844.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-001844-PLANSETE-028-d-7_1844.cut.vrt LVVA-001679-0217-001844-PLANSETE-028-d-7_1844.xyz