This project won first place at NASA Space Apps Kuala Lumpur 2018

Nasa provides ( an easy way to visualize worldview GIBS data in your browser with certain layers such as carbon monoxide and dust layers that reflect pollution levels on the same map. Using worldview earth data and imagery, we can get a satellite image with added layers for the user’s location or from a specified area on a page from our app.

We then used a Convolutional Neural Network (CNN) to transform the input image to stylised output image. The perceptual loss function was used for training the VGG16 CNN. The CNN takes two images, where the first image is world view input image and second image is an art style (for example Van Gogh or Salvador Dali’s style). Feed forwarding these two images on trained CNN outputs the transformed image based on the selected painting style.

These images were then used to generate various custom merchandise through an easy to use interface called SKAI and intends to act as a prototype of a platform for all to share and sell their designs for earth-aware merchandise in the future!

Categories: Hackathons


AChiman · March 3, 2019 at 2:47 pm

Hello there,

My name is Aly and I would like to know if you would have any interest to have your website here at promoted as a resource on our blog ?

We are in the midst of updating our broken link resources to include current and up to date resources for our readers. Our resource links are manually approved allowing us to mark a link as a do-follow link as well
If you may be interested please in being included as a resource on our blog, please let me know.


    eshaan · April 30, 2019 at 4:09 am

    Hi Aly, sure thing! I’ll be adding more resources here soon too. Feel free to link this blog on!

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