donato-morresi/cdmt: Change Detection by Multispectral Trends
Implementation of the Change Detection by Multispectral Trends (CDMT) algorithm for mapping inter-annual changes in Landsat time series. CDMT employs the High-dimensional Trend Segmentation (HiTS) procedure proposed by Maeng (2019) to detect changepoints at the pixel level. Landsat time series can be either univariate or multivariate.
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | GPL (>= 3) |
| Version | 1.0.0 |
| URL | https://github.com/donato-morresi/cdmt |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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