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npphen  

Vegetation Phenological Cycle and Anomaly Detection using Remote Sensing Data
View on CRAN: Click here


Download and install npphen package within the R console
Install from CRAN:
install.packages("npphen")

Install from Github:
library("remotes")
install_github("cran/npphen")

Install by package version:
library("remotes")
install_version("npphen", "2.0.0")



Attach the package and use:
library("npphen")
Maintained by
José A. Lastra
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-08-31
Latest Update: 2023-10-12
Description:
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: Ch
How to cite:
José A. Lastra (2017). npphen: Vegetation Phenological Cycle and Anomaly Detection using Remote Sensing Data. R package version 2.0.0, https://cran.r-project.org/web/packages/npphen
Previous versions and publish date:
1.1-0 (2017-08-31 12:05), 1.1.1 (2021-11-20 02:20), 1.5.0 (2022-05-24 12:40), 1.5.1 (2022-06-02 14:40), 1.5.2 (2022-06-03 23:50)
Other packages that cited npphen R package
View npphen citation profile
Other R packages that npphen depends, imports, suggests or enhances
Functions, R codes and Examples using the npphen R package
Some associated functions: ExtremeAnoMap . ExtremeAnom . Phen . PhenKplot . PhenMap . modis_dates . npphen . phents . 
Some associated R codes: ExtremeAnoMap.R . ExtremeAnom.R . Phen.R . PhenKplot.R . PhenMap.R . data.R . npphen-package.R .  Full npphen package functions and examples
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