Difference between revisions of "Mandi Assignment Data Preparation"
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These three images are taken on 2014-11-28, 2015-11-15 and 2016-03-06. <br/> | These three images are taken on 2014-11-28, 2015-11-15 and 2016-03-06. <br/> | ||
As the clouds have covered more than 90% of the area in these images, I think they are meaningless to my further analysis. <br/> | As the clouds have covered more than 90% of the area in these images, I think they are meaningless to my further analysis. <br/> | ||
| − | Hence, I take the three images as noise data and they should | + | Hence, I take the three images as noise data and they should be filtered out. <br/> |
Revision as of 19:02, 14 July 2017
The data set has two forms of image data: TIF files and ASCII files. Both of them contains same information.
I use QGIS to load the TIF files for visualization and JMP to load the ASCII files for stacking data.
Noise Data Filtering
There are totally 12 TIF files. I load them into QGIS and mapped B3, B2 and B1 to RGB and generate the "true-color" images as below.
When looking at these "true-color" images, there are three images in which the preserve area cannot be seen clearly due to the clouds.
These three images are taken on 2014-11-28, 2015-11-15 and 2016-03-06.
As the clouds have covered more than 90% of the area in these images, I think they are meaningless to my further analysis.
Hence, I take the three images as noise data and they should be filtered out.
