Commit 865aaf23 authored by Manuel Grizonnet's avatar Manuel Grizonnet

DOC: minor edits in otb python english version

parent 4b94b7bd
......@@ -199,10 +199,12 @@ ExtractROI.STARTX=140
~app-python/images/SENTINEL2A_*/~ Do all files have the same disk
size? Why?
*Note:* On the command line, launch the ~gdalinfo~ command on different band
files to check the pixel size and the number of pixels.
3. On the command line, launch the ~gdalinfo~ command on different band
files to check the pixel size, the number of pixels and the minimum
and maximum values. Do we have common minimum values between
different bands? Why?
*Note 2:* Make sure that OTB binary files ($otb-path/bin) is included
*Note:* Make sure that OTB binary files ($otb-path/bin) is included
in your PATH environment variable.
4. Look at /MASKS subfolder : there is a CLM file that contains a cloud
......@@ -448,8 +450,6 @@ ExtractROI.STARTX=140
for each of the 3 water masks.You may launch the otb application in the commandline:
otbcli-XXXXX -in XXXX -out XXXX -param1 XXXX
4. What would you conclude about the results?
** OTB Applications on Python API :solutions:
*** Introduction : Water monitoring in the Laguna de la Nina(Peru) event
1. Open in Monteverdi the composition_*.vrt file (RGB composition) of each
......@@ -571,7 +571,7 @@ ExtractROI.STARTX=140
4. Look at the 20161218 final NDVI mask. What are the lines detected as water?
*** Comparison with a reference
*** Comparison with a reference: exercise5.py
1. Open the image ~ref/occurrence_90W_0N.tif~ in QGIS or Monteverdi. What values do you observe
around the coordinates lon: -80.6767, lat: -5.91. Do you observe any zone with 90-100 occurrence?
......
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