LT-GEE

Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:

https://github.com/eMapR/LT-GEE

Science Score: 20.0%

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

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: mdpi.com
  • Committers with academic emails
    1 of 4 committers (25.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (4.2%) to scientific vocabulary

Keywords

change-detection google-earth-engine landsat landscape-dynamics landtrendr mapping time-series-analysis
Last synced: 5 months ago · JSON representation

Repository

Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:

Basic Info
Statistics
  • Stars: 216
  • Watchers: 24
  • Forks: 67
  • Open Issues: 22
  • Releases: 0
Topics
change-detection google-earth-engine landsat landscape-dynamics landtrendr mapping time-series-analysis
Created about 8 years ago · Last pushed about 2 years ago
Metadata Files
Readme License

README.md

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LT-GEE

Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm

Guide

Manuscript

Citation

Kennedy, R.E., Yang, Z., Gorelick, N., Braaten, J., Cavalcante, L., Cohen, W.B., Healey, S. (2018). Implementation of the LandTrendr Algorithm on Google Earth Engine. Remote Sensing. 10, 691.



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Except as otherwise noted, the content of this repository and accompanying description site (https://emapr.github.io/LT-GEE/) are licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License.

Owner

  • Name: eMapR Lab
  • Login: eMapR
  • Kind: organization
  • Email: emapr.lab@oregonstate.edu
  • Location: Oregon State University

OSU Environmental Monitoring, Analysis, and Process Recognition Lab

GitHub Events

Total
  • Issues event: 4
  • Watch event: 20
  • Fork event: 3
Last Year
  • Issues event: 4
  • Watch event: 21
  • Fork event: 3

Committers

Last synced: 6 months ago

All Time
  • Total Commits: 222
  • Total Committers: 4
  • Avg Commits per committer: 55.5
  • Development Distribution Score (DDS): 0.14
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Justin Braaten j****n@g****m 191
Justin Braaten j****e@u****m 16
Peter Clary c****e@o****u 13
Robert Kennedy r****k@u****m 2
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 44
  • Total pull requests: 5
  • Average time to close issues: 3 months
  • Average time to close pull requests: about 1 month
  • Total issue authors: 35
  • Total pull request authors: 2
  • Average comments per issue: 1.52
  • Average comments per pull request: 2.0
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 4
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 4
  • Pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • jdbcode (7)
  • kharris91 (2)
  • clarype (2)
  • agataelia (2)
  • LuK2019 (1)
  • Xibeiliang (1)
  • mngbrmz (1)
  • MartinBrandt (1)
  • anagha-salim (1)
  • Walshe-d (1)
  • binghhhh (1)
  • Mcflyuu (1)
  • lucas-johnson (1)
  • brhays91 (1)
  • Daniel-Platt (1)
Pull Request Authors
  • jdbcode (4)
  • robitalec (1)
Top Labels
Issue Labels
enhancement (6) bug (5) question (1) support (1)
Pull Request Labels