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

Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:
https://github.com/eMapR/LT-GEE

change-detection google-earth-engine landsat landscape-dynamics landtrendr mapping time-series-analysis

Last synced: about 2 months ago
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Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:

Host: GitHub
URL: https://github.com/eMapR/LT-GEE
Owner: eMapR
License: apache-2.0
Created: 2018-02-19T23:36:28.000Z (over 6 years ago)
Default Branch: master
Last Pushed: 2024-01-31T21:35:16.000Z (5 months ago)
Last Synced: 2024-04-22T23:36:29.464Z (2 months ago)
Topics: change-detection, google-earth-engine, landsat, landscape-dynamics, landtrendr, mapping, time-series-analysis
Language: JavaScript
Homepage: https://emapr.github.io/LT-GEE
Size: 86 MB
Stars: 186
Watchers: 25
Forks: 63
Open Issues: 16
Metadata Files:
- Readme: README.md
- License: LICENSE

Lists

open-sustainable-technology - LT-GEE - Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. (Natural Resources / Soil and Land)

README

        ![banner image](https://github.com/eMapR/LT-GEE/blob/master/docs/imgs/lt_gee_symbols_small.png)

# LT-GEE

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





## [Guide](https://emapr.github.io/LT-GEE/) 

## [Manuscript](http://www.mdpi.com/2072-4292/10/5/691) 

## 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.





![banner image](https://github.com/eMapR/LT-GEE/blob/master/docs/imgs/gee_windows_small.png)

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](https://creativecommons.org/licenses/by/4.0/), and code samples are licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0).