awesome-ICESat-2

This is a repository list the resource of ICESat-2 applications

1. Topohack

• Taking ICESat-2 to the mountains: a workflow using satellite laser altimetry to resolve topography over complex terrain https://github.com/ICESAT-2HackWeek/topohack

2. DeepIceDrain

• Mapping and monitoring deep subglacial water activity in Antarctica using remote sensing and machine learning https://github.com/weiji14/deepicedrain

3. ICESat-2 meltwater depth retrievals

• Application to surface melt on southern Amery Ice Shelf, East Antarctica By comparing the estimated depths for all algorithms and the manual method. https://github.com/fliphilipp/ameryMeltLakesICESat2

4. Icepyx

• Python tools for obtaining and working with ICESat-2 data https://github.com/icesat2py/icepyx

5. compareATL03-06-08

• use the OpenAltimetry API to quickly compare different ICESat-2 data products
  https://github.com/fliphilipp/compareATL03-06-08

6. New ocean subsurface optical properties from space lidars: CALIOP/CALIPSO and ATLAS/ICESat-2

7. Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion [arxiv paper]

* Semantic Segmentation and Semantic Scene Completion:https://github.com/yanx27/JS3C-Net
![](FigureFolder/Hnet-image.gif) <br>
* Other similar applications:<br>
    * PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling
    https://github.com/yanx27/Pointnet_Pointnet2_pytorch    
    https://github.com/dragonbook/pointnet2-pytorch

8. A photon-counting LiDAR bathymetric method based on adaptive variable ellipse filtering

• Adaptive filtering code:

  • Code for Kalman and Bayesian filters: https://nbviewer.jupyter.org/github/rlabbe/Kalman-and-Bayesian-Filters-in-Python/blob/master/table_of_contents.ipynb
    Reference book: Kalman and Bayesian Filters in Python
    Python package: https://github.com/rlabbe/filterpy
  • Code: https://github.com/EderSantana/adaptive_kernel_methods
  • kernel adaptive filter Code: https://github.com/ninja3697/Kernel-Adaptive-Filtering-in-Python