#!/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 4584.0 5826.0 21.54192 57.290835 -gcp 39960.0 5940.0 21.583581666666667 57.290835 -gcp 39960.0 39720.0 21.583581666666667 57.270005 -gcp 4566.0 39600.0 21.54192 57.270005 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-000624-PLANSETE-009-g-10_0624.JPG LVVA-001679-0217-000624-PLANSETE-009-g-10_0624.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4584.0 5826.0\n39960.0 5940.0\n39960.0 39720.0\n4566.0 39600.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-000624-PLANSETE-009-g-10_0624.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-000624-PLANSETE-009-g-10_0624.vrt LVVA-001679-0217-000624-PLANSETE-009-g-10_0624.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-000624-PLANSETE-009-g-10_0624.cut.vrt LVVA-001679-0217-000624-PLANSETE-009-g-10_0624.xyz