#!/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 5304.0 5874.0 22.291816666666666 57.228345 -gcp 40710.0 6066.0 22.333478333333332 57.228345 -gcp 40620.0 39810.0 22.333478333333332 57.207515 -gcp 5214.0 39612.0 22.291816666666666 57.207515 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-001042-PLANSETE-017-b-8_1042.JPG LVVA-001679-0217-001042-PLANSETE-017-b-8_1042.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "5304.0 5874.0\n40710.0 6066.0\n40620.0 39810.0\n5214.0 39612.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-001042-PLANSETE-017-b-8_1042.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-001042-PLANSETE-017-b-8_1042.vrt LVVA-001679-0217-001042-PLANSETE-017-b-8_1042.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-001042-PLANSETE-017-b-8_1042.cut.vrt LVVA-001679-0217-001042-PLANSETE-017-b-8_1042.xyz