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September 21, 2020 13:35
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Downloads a cropped portion of each band from a sentinel 2 tile, generates NDVI and RGB images from the cropped downloads.
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-1.0 200 0 0 | |
-0.3 255 40 0 | |
-0.1 255 150 0 | |
0.1 255 240 0 | |
0.3 0 230 0 | |
0.5 0 190 0 | |
1.0 0 130 0 | |
nv 0 0 0 0 |
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#!/bin/bash | |
set -e | |
# Usage: | |
# $ bash crop.sh GEOJSON_FILE BUCKET/TILE_PATH | |
# | |
# Example: | |
# $ bash crop.sh field.geojson sentinel-s2-l1c/tiles/22/J/GQ/2019/11/16/0 | |
export AWS_REQUEST_PAYER=requester | |
FIELD=$1 | |
TILE=$2 | |
OUTP=$3 | |
seq -f "B%02g" 1 12 | xargs -L1 -I@ -P12 -t \ | |
gdalwarp -of GTiff \ | |
-cutline ${FIELD} \ | |
-crop_to_cutline \ | |
-ot UInt16 \ | |
-t_srs EPSG:4326 \ | |
-srcnodata 0 \ | |
-overwrite \ | |
/vsis3/${TILE}/@.jp2 ${OUTP}_@.tif | |
gdal_merge.py \ | |
-of GTiff \ | |
-o ${OUTP}_RGB.tif \ | |
-a_nodata 0 \ | |
-ot UInt16 \ | |
-separate \ | |
${OUTP}_B04.tif ${OUTP}_B03.tif ${OUTP}_B02.tif | |
gdal_translate \ | |
-of PNG \ | |
-ot Byte \ | |
-scale \ | |
-a_nodata 0 \ | |
-outsize 800% 800% \ | |
${OUTP}_RGB.tif ${OUTP}_RGB.png | |
gdal_calc.py \ | |
-A ${OUTP}_B04.tif \ | |
-B ${OUTP}_B08.tif \ | |
--calc "(B*1.-A*1.)/(B*1.+A*1.)" \ | |
--type Float32 \ | |
--format GTiff \ | |
--overwrite \ | |
--outfile ${OUTP}_NDVI.tif | |
gdaldem color-relief ${OUTP}_NDVI.tif rel.txt ${OUTP}_NDVI_color.tif -alpha | |
gdal_translate \ | |
-of PNG \ | |
-ot Byte \ | |
-scale \ | |
-a_nodata 0 \ | |
-outsize 800% 800% \ | |
${OUTP}_NDVI_color.tif ${OUTP}_NDVI_color.png | |
gdaldem color-relief ${OUTP}_NDVI.tif abs.txt ${OUTP}_NDVI_color_absoulte.tif -alpha | |
gdal_translate \ | |
-of PNG \ | |
-ot Byte \ | |
-scale \ | |
-a_nodata 0 \ | |
-outsize 800% 800% \ | |
${OUTP}_NDVI_color_absolute.tif ${OUTP}_NDVI_color_absolute.png |
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0% 200 0 0 | |
35% 255 40 0 | |
45% 255 150 0 | |
55% 255 240 0 | |
65% 0 230 0 | |
75% 0 190 0 | |
100% 0 130 0 | |
nv 0 0 0 0 |
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