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 | 
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