SCL to JSON

README.md

@@ -124,17 +124,19 @@ This script uses `gdal_merge.py` and  `gdal_translate` to merge all the images w
 mergeImagesByDirectory.sh /home/geoint/NAS/images/ 
 ```
 
-## Count Total Area for Each L2A SCL Class (`geosentinel/L2ASCLtoJSON`)
-This script count the total number of each of the 12 classes in a SCL image form a Sentinel-2 L2A product.
+## Count Total Area for Each L2A SCL Class (`geosentinel/L2ASCLtoJSON` and `tools/SCLimageListToJSON.sh`)
+*L2ASCLtoJSON.py* script will count the total number of each of the 12 classes in a SCL image form a Sentinel-2 L2A product.
+*SCLimageListToJSON.sh* script will do the same for each tif image in a directory.
 
 ```json
 {
 	"wkt":"POLYGON((-89.62955474853516 21.05230266883862,-89.55093383789061 21.05230266883862,-89.52930450439452 20.965126493194475,-89.6484375 20.873408465645696,-89.72877502441405 20.95294341625548,-89.65805053710938 21.056788298627097,-89.62955474853516 21.05230266883862))" ,
-	"filename":"/home/geoint/NAS/data/mergecrop/20180214SCL_20m.tif"
 }
 ```
 ```bash
-L2ASCLtoJSON.py meridaSCL.json > SCLresult.json
+L2ASCLtoJSON.py /home/geoint/NAS/data/20180214_SCL_20m.tif meridaSCL.json > SCLresult.json
 
 ```
 
+
+

tools/SCLimageListToJSON.sh

@@ -4,4 +4,6 @@ CGF=$2
 JOBS=${3:-1}
 
 cd $DIR
-ls *_SCL_20m.tif | parallel --jobs $JOBS L2ASCLtoJSON.py {} $2
+ls *.tif | parallel --jobs $JOBS 'L2ASCLtoJSON.py '{}' $2 > $(echo '{}' | cut -d"." -f1).json'
+
+