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itslive

NOTE: this book is no longer maintained. Please go to 'Cloud-native geospatial data cube workflows,' linked below, instead.

https://github.com/e-marshall/itslive

Science Score: 64.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ✓
    Committers with academic emails
    2 of 6 committers (33.3%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (11.6%) to scientific vocabulary

Keywords

aws-s3 climate glaciology remote-sensing xarray
Last synced: 6 months ago · JSON representation ·

Repository

NOTE: this book is no longer maintained. Please go to 'Cloud-native geospatial data cube workflows,' linked below, instead.

Basic Info
Statistics
  • Stars: 10
  • Watchers: 3
  • Forks: 4
  • Open Issues: 1
  • Releases: 1
Archived
Topics
aws-s3 climate glaciology remote-sensing xarray
Created almost 4 years ago · Last pushed 11 months ago
Metadata Files
Readme Contributing Citation

readme.md

ITS_LIVE + Xarray Tutorial Jupyter Book

DOI Jupyter Book Badge Binder
❗❗This book is no longer maintained. Please see cloud-open-source-geospatial-datacube-workflows instead.❗❗

The Inter-mission Time Series of Land Ice Velocity and Elevation (ITS_LIVE) is a dataset of global ice velocity measurements derived from displacement between pairs of satellite images generated by feature tracking algorithms. The dataset ingests NASA Landsat 7, 8, 9 and European Space Agency (ESA) Sentinel-1 & 2 image pairs and produces low-latency ice surface velocity data. It is available for access and download in multiple forms; this tutorial accesses the data stored as Zarr data cubes in S3 (Amazon Simple Storage Service) buckets on AWS. Users are provided instructions outlining two ways to follow along with the tutorial material. One option is running the tutorial locally. We provide an environment.yml file to configure a local computing environment. Alternatively, the tutorial has a preconfigured JupyterLab environment hosted on www.mybinder.org that enables users to run the tutorial in the cloud with no requirement for local computational resources.

Thanks for visiting the github repo for this tutorial demonstrating accessing + working with ITS_LIVE ice velocity data using Xarray and other python packages. If you have questions about the tutorial's content, please feel free to start a Discussions topic. If you find a bug or error, you can raise an Issue.

Owner

  • Name: Emma Marshall
  • Login: e-marshall
  • Kind: user
  • Location: Salt Lake City, UT
  • Company: University of Utah

PhD student at University of Utah using remote sensing to study mountain glaciers.

Citation (CITATION.cff) 

cff-version: 1.0.0
message: "If you use this module, please cite it as below."
authors:
- family-names: "Emma"
  given-names: "Marshall"
  orcid: "https://orcid.org/0000-0001-6348-977X"
- family-names: "Deepak"
  given-names: "Cherian"
  orcid: "https://orcid.org/0000-0002-6861-8734"
- family-names: "Scott"
  given-names: "Henderson"
  orcid: "https://orcid.org/0000-0003-0624-4965"
- family-names: "Jessica"
  given-names: "Scheick"
  orcid: "https://orcid.org/0000-0002-3421-4459"
title: "Using xarray to examine cloud-based glacier surface velocity data"
version: 1.0.0
doi: https://zenodo.org/records/6804325
date-released: 2022-07-22
url: "https://github.com/e-marshall/itslive"

GitHub Events

Total
  • Issues event: 24
  • Watch event: 1
  • Issue comment event: 18
  • Push event: 43
  • Pull request event: 4
  • Create event: 2
Last Year
  • Issues event: 24
  • Watch event: 1
  • Issue comment event: 18
  • Push event: 43
  • Pull request event: 4
  • Create event: 2

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 95
  • Total Committers: 6
  • Avg Commits per committer: 15.833
  • Development Distribution Score (DDS): 0.568
Past Year
  • Commits: 14
  • Committers: 2
  • Avg Commits per committer: 7.0
  • Development Distribution Score (DDS): 0.286
Top Committers
Name Email Commits
Emma Marshall e****8@g****m 41
e-marshall 5****8 21
Emma Marshall 5****l 19
Emma Marshall e****l@c****u 8
dcherian d****k@c****t 3
Scott Henderson s****h@u****u 3
Committer Domains (Top 20 + Academic)
uw.edu: 1 cherian.net: 1 cisl-racine.scd.ucar.edu: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 34
  • Total pull requests: 21
  • Average time to close issues: 4 months
  • Average time to close pull requests: 5 days
  • Total issue authors: 6
  • Total pull request authors: 3
  • Average comments per issue: 1.21
  • Average comments per pull request: 1.29
  • Merged pull requests: 19
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 14
  • Pull requests: 4
  • Average time to close issues: about 1 month
  • Average time to close pull requests: about 8 hours
  • Issue authors: 3
  • Pull request authors: 2
  • Average comments per issue: 0.64
  • Average comments per pull request: 1.5
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • dcherian (14)
  • e-marshall (7)
  • scottyhq (6)
  • mikemorris12 (5)
  • andersy005 (1)
  • alex-s-gardner (1)
Pull Request Authors
  • e-marshall (18)
  • scottyhq (5)
  • dcherian (4)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

binder/environment.yml conda
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