npphen: Vegetation Phenological Cycle and Anomaly Detection using Remote
Sensing Data
Calculates phenological cycle and anomalies using a non-parametric
approach applied to time series of vegetation indices derived from remote sensing data
or field measurements. The package implements basic and high-level functions for
manipulating vector data (numerical series) and raster data (satellite derived products).
Processing of very large raster files is supported. For more information, please check
the following paper:
Chávez et al. (2023) <doi:10.3390/rs15010073>.
| Version: |
2.0.1 |
| Depends: |
R (≥ 3.6.0) |
| Imports: |
terra (≥ 1.5-17), ks, methods, graphics, stats, lubridate |
| Suggests: |
parallel, tcltk, leaflet, sf |
| Published: |
2025-04-11 |
| DOI: |
10.32614/CRAN.package.npphen |
| Author: |
Roberto O. Chávez 
[aut],
Sergio A. Estay
[aut],
José A. Lastra
[cre, ctb],
Carlos G. Riquelme
[ctb] |
| Maintainer: |
José A. Lastra <jose.lastra at pucv.cl> |
| BugReports: |
https://github.com/labGRS/npphen/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/labGRS/npphen, https://labgrs.github.io/npphen/ |
| NeedsCompilation: |
no |
| Citation: |
npphen citation info |
| In views: |
AnomalyDetection |
| CRAN checks: |
npphen results |
Documentation:
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