Cloudless satellite image

Remote Sensing
I found excellent Image-compositing scripts for filtering weather out of satellite images <https://github
Author

Benny Istanto

Published

April 15, 2013

I found excellent Image-compositing scripts for filtering weather out of satellite images https://github.com/celoyd/wheather and decided to give a try.

This analysis based on MODIS subsets image from NASA - https://lance-modis.eosdis.nasa.gov. See below:

Located directly on the Equator and covered with mountains and rainforest, Indonesia is one of the cloudiest places on Earth. Getting cloud free image from MODIS is difficult

[caption id=“” align=“alignnone” width=“1024”]Sample quick look, 23 July 2012 Sample quick look, 23 July 2012 [/caption]

Following the script, I downloaded the MODIS quick look. And you can see every day sometimes cloud-free and mostly not.

[caption id=“” align=“alignnone” width=“1024”]1 - 31 July 2012, 1km pix res 1 - 31 July 2012, 1km pix res [/caption]

If we could create an average image from all the collection in the previous picture, it will look as below picture.

[caption id=“” align=“alignnone” width=“1024”]Simple average Simple average [/caption]

Then we can sort per pixel of all the image collection, and leave the least cloudy-looking layers and average the rest. Details are below:

Finally choose the top of quality and we got below picture.

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