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![](img/NCAR_GISpipe.gif){:width="800px"} @@ -30,6 +31,23 @@ If you choose this topic, you can expect to learn about automatic geometry recon - - - +======= +## Water (level) detection with ICESat-2 measurements + +![](img/water_profile){:width="600px"} + +ICESat-2, a spaceborne lidar system, can measure terrain elevations every 0.7m along its ground track. +As such, it can be seen as a profiling lidar, drawing cross-sections over the Earth. +When combined with a water mask, it can also be used to measure water levels. +For this topic we will investigate automatic water (level) detection methods, making use of the multiple return pattern that ICESat-2 exhibits over strong reflectors such as water (see figure). +If successful, we could update and expand mangrove and wetland maps (which are now based on optical imagery) critical for conservation purposes and carbon stock models. +The method(s) should be able to scale to the full ICESat-2 dataset (1 PB), and therefore ideally be implemented in the Julia programming language (if you know C++ and Python it's not very difficult to learn Julia, we can help). + +**Contact:** [Maarten Pronk](https://www.evetion.nl/) + [Hugo Ledoux](https://3d.bk.tudelft.nl/hledoux) + + +- - - +>>>>>>> dec557a4 (Add icesat-2 topic) ## Adding trees to City4CFD