npphen: Vegetation Phenological Cycle and Anomaly Detection using RemoteSensing 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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