Dear research colleagues,

Is there a method to detect glaciers from out of space with satellite images?

Resolution is of course the bottleneck here. So coarser than 100m image data is not beneficial.

1) What Satellite Images are most beneficial for this task?

2) What type of image data might be suited best? Is a specific choice of bands helpful or do LST provide most promising results?

3) I have encountered this work below. It seems very promising, can someone evaluate?Article Google Earth Engine Open-Source Code for Land Surface Temper...

The final goal is to automatically generate masks in shape of these glaciers. For example with help of unsupervised k-means classification or if necessary supervised classification to recognize and distinguish between glaciers and everything else including snow-covered soil by color (examples attached, as you can see it does not work very well yet.). These masks are further a key element for the test part in a CNN project.

Here is a very nice project with very fine masks from lakes and sea instead of glaciers: https://github.com/JiahuiYu/generative_inpainting/issues/451

Since I work mostly with GEE, here are several LST datasets which I ask you to evaluate if you have more experience than me:

https://developers.google.com/earth-engine/datasets/tags/temperature

Cheers,

Sven Szardien

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