temporalComposite: Calculate MODIS Composite Images

In MODIS: Acquisition and Processing of MODIS Products

Description

Based on a user-defined function, e.g. max for maximum value composites (MVC), aggregate native 16-day MODIS datasets to custom temporal composites.

Usage

temporalComposite(
  x,
  y,
  timeInfo = extractDate(x, asDate = TRUE)$inputLayerDates,
  interval = c("month", "year", "fortnight"),
  fun = max,
  na.rm = TRUE,
  cores = 1L,
  filename = "",
  ...
)

Arguments

x	Raster* or character. MODIS composite dataset with an associated "composite_day_of_the_year" SDS, e.g. all vegetation indices products (MOD13).
y	Raster* or character. MODIS "composite_day_of_the_year" SDS associated with 'x'.
timeInfo	Date vector corresponding to all input layers. If not further specified, this is tried to be created through invoking extractDate upon 'x', assuming standard MODIS file names.
interval	character. Time period for aggregation, see aggInterval.
fun, na.rm	function. See overlay.
cores	integer. Number of cores for parallel processing.
filename	character. Optional output filename.
...	Additional arguments passed to writeRaster.

Value

A Raster* object.

Author(s)

Florian Detsch

See Also

aggInterval, calc, writeRaster.

Examples

## Not run: 
library(mapview)
frc <- as(subset(franconia, district == "Mittelfranken"), "Spatial")
tfs <- runGdal("MOD13A1", begin = "2015001", end = "2016366", extent = frc,
            job = "temporalComposite", SDSstring = "100000000010")

ndvi <- sapply(tfs[[1]], "[[", 1)
cdoy <- sapply(tfs[[1]], "[[", 2)

mmvc <- temporalComposite(ndvi, cdoy)
plot(mmvc[[1:4]])

## End(Not run)

MODIS documentation built on Nov. 12, 2020, 5:06 p.m.