#!/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 5082.0 6726.0 27.957698333333333 56.72842833333333 -gcp 41136.0 6690.0 27.99936 56.72842833333333 -gcp 41118.0 39552.0 27.99936 56.70759833333334 -gcp 5040.0 39570.0 27.957698333333333 56.70759833333334 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-003812-PLANSETE-103-c-8_3812.JPG LVVA-001679-0217-003812-PLANSETE-103-c-8_3812.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "5082.0 6726.0\n41136.0 6690.0\n41118.0 39552.0\n5040.0 39570.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-003812-PLANSETE-103-c-8_3812.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-003812-PLANSETE-103-c-8_3812.vrt LVVA-001679-0217-003812-PLANSETE-103-c-8_3812.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-003812-PLANSETE-103-c-8_3812.cut.vrt LVVA-001679-0217-003812-PLANSETE-103-c-8_3812.xyz