This repository contains a set of functions for analyzing ICESat-2 Data, ice penetrating radar data from the Center for Remote Sensing of Ice Sheets, and other cryospheric geophysical data. In addition, there are a series of tutorial notebooks that break-down how to read and interpret many of these polar geophysical datasets.
This work is primarily in support of the following awards:
NASA-80NSSC20K0958, NASA-80NSSC21K0753, NSF-2019719, and NSF-2118285.
Table of Contents
These tools were primarily designed for use within the Holschuh lab group, but in the spirit of open science, we want to make anything that might be useful available for public use. There will likely be parts of the code that do not work when you clone this library, but it is hard for me to know all the ways this code may fail until you all test it! Feel free to reach out if something doesn't work, and I'm happy to help you debug.
The following sections provide a list of the functions that may be useful to you. Each function has a description in its header, but we provide a brief statement for each below.
- is2_fileselect: This function identifies either ATL06 or ATL11 files that fall within a bounding-box, as well as the associated SEGIDs for that region.
- is2_timeconvert: This function converts the delta_T variable in ICESat-2 data to decimal years
- read_h5: This is just a simplified h5 file reader, which can read in any ICESat-2 data file.
- Tutorials/ICESat2_Read_and_Plotting: This notebook describes the structure of ICESat-2 data, but relies on Tyler Sutterly's reader functions.
- depth_shift: This function takes in a radar dataset and converts it from two-way travel time to depth.
- elevation_shift: This function takes in a radar dataset and converts it from two-way travel time to absolute elevation (WGS84).
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
Distributed under the MIT License. See LICENSE.txt
for more information.
Nick Holschuh - nholschuh@amherst.edu
Project Link: https://github.com/nholschuh/NDH_PythonTools
- Much of the code here was built in support of my wonderful students at Amherst. Don't underestimate a passionate Amherst student!