#!/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 4740.0 5436.0 21.458598333333335 57.311665 -gcp 40086.0 5454.0 21.50026 57.311665 -gcp 40170.0 39234.0 21.50026 57.290835 -gcp 4806.0 39210.0 21.458598333333335 57.290835 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-000004-PLANSETE-002-i-8_0004.JPG LVVA-001679-0217-000004-PLANSETE-002-i-8_0004.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4740.0 5436.0\n40086.0 5454.0\n40170.0 39234.0\n4806.0 39210.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-000004-PLANSETE-002-i-8_0004.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-000004-PLANSETE-002-i-8_0004.vrt LVVA-001679-0217-000004-PLANSETE-002-i-8_0004.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-000004-PLANSETE-002-i-8_0004.cut.vrt LVVA-001679-0217-000004-PLANSETE-002-i-8_0004.xyz