phents

A dataframe with 8-days MODIS NDVI of a pixel with deciduous Nothofagus macrocarpa forest, Central Chile,
using MOD13Q1/MYD13Q1 combined

datasets

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>.

Josc3<a9> Lastra

npphen

Vegetation Phenological Cycle and Anomaly Detection using Remote
Sensing Data

Roberto O. Chávez

Sergio A. Estay

José A. Lastra

Carlos G. Riquelme

phents function

A data frame with 929 rows and 2 variables:<dl>
 <dt>dates</dt>
<dd>dates for each record</dd> <dt>NDVI</dt>
<dd>NDVI value for a pixel of deciduous N. macrocarpa forest</dd>
</dl>

Format

A dataframe with 8-days MODIS NDVI of a pixel with deciduous Nothofagus macrocarpa forest, Central Chile,
using MOD13Q1/MYD13Q1 combined — phents

A data frame with 929 rows and 2 variables:<dl>
 <dt>dates</dt>
<dd>dates for each record</dd>

 <dt>NDVI</dt>
<dd>NDVI value for a pixel of deciduous N. macrocarpa forest</dd>


</dl>

phents: A dataframe with 8-days MODIS NDVI of a pixel with deciduous Nothofagus macrocarpa forest, Central Chile, using MOD13Q1/MYD13Q1 combined

Description

Usage

Arguments

Format