fill_missing_ndvi {portalr}

Fill in historic ndvi data to the complete timeseries being fit

Description

Fill in historic ndvi data to the complete timeseries being fit

Usage

fill_missing_ndvi(ndvi, level, last_time, moons = NULL)

Arguments

ndvi

ndvi data

level

specify "monthly" or "newmoon"

last_time

the last time step to have been completed

moons

moon data (required if level = "newmoons" and forecasts are needed)

Details

missing values during the time series are replaced using na.interp, missing values at the end of the time series are forecast using auto.arima with seasonality (using Fourier transform)

Value

a data.frame with time and ndvi values