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: |
2.0.0 |
| Depends: |
R (≥ 3.6.0) |
| Imports: |
terra (≥ 1.5-17), ks, methods, graphics, stats, lubridate |
| Suggests: |
parallel, tcltk, leaflet, sf |
| Published: |
2023-10-12 |
| DOI: |
10.32614/CRAN.package.npphen |
| Author: |
Roberto O. Chávez [cre, aut], Sergio A. Estay [cre, 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 |
| CRAN checks: |
npphen results |