Package: npphen 2.0.0

José A. Lastra

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>.

Authors:Roberto O. Chávez [cre, aut], Sergio A. Estay [cre, aut], José A. Lastra [cre,ctb] & Carlos G. Riquelme [ctb]

npphen_2.0.0.tar.gz
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npphen.pdf |npphen.html
npphen/json (API)

# Install 'npphen' in R:
install.packages('npphen', repos = c('https://labgrs.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/labgrs/npphen/issues

Datasets:
  • modis_dates - A vector with dates for both RasterStack datasets: Mega drought and Blooming Desert, with 929 dates
  • phents - A dataframe with 8-days MODIS NDVI of a pixel with deciduous Nothofagus macrocarpa forest, Central Chile, using MOD13Q1/MYD13Q1 combined

On CRAN:

5 exports 4 stars 1.53 score 18 dependencies 6 scripts 281 downloads

Last updated 12 months agofrom:a78f4bdbdc. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 23 2024
R-4.5-winNOTEAug 23 2024
R-4.5-linuxNOTEAug 23 2024
R-4.4-winNOTEAug 23 2024
R-4.4-macNOTEAug 23 2024
R-4.3-winNOTEAug 23 2024
R-4.3-macNOTEAug 23 2024

Exports:ExtremeAnomExtremeAnoMapPhenPhenKplotPhenMap

Dependencies:cpp11FNNgenericskernlabKernSmoothkslatticelubridateMatrixmclustmgcvmulticoolmvtnormnlmepracmaRcppterratimechange