get_npp: Get Net Annual NPP (CONUS)

In joshualerickson/exploreRGEE: Explores Google Earth Engine

Get Net Annual NPP (CONUS)

Description

This function gets Net Primary Productivity products for selected time frames. Cloud masking will be at 50% if TRUE; however, for 'ld_NPP' 255 will be masked out.

Usage

get_npp(
  aoi,
  method = "ld_NPP",
  param = NULL,
  stat = "median",
  cloud_mask = TRUE,
  startDate = "1986-01-01",
  endDate = "2019-01-01",
  mask = FALSE,
  m.low = NULL,
  m.high = NULL,
  c.low = 1,
  c.high = 12
)

Arguments

aoi	A sf object indicating the extent of the geom.
method	A character indicating what method to use, e.g. 'ld_NPP', 'modis_NPP', 'terra', 'aqua'.
param	A character indicating what band to visualize, e.g. 'annualNPP', 'Npp', etc.
stat	A character indicating what to reduce the imageCollection by, e.g. 'median' (default), 'mean', 'max', 'min', 'sum', 'stdDev', 'first'.
cloud_mask	logical whether to mask out certain cloud artifacts. TRUE (default).
startDate	character format date, e.g. "2018-10-23"
endDate	character format date, e.g. "2018-10-23"
mask	logical whether to mask out certain ranges
m.low	numeric low value for mask, e.g. greater than 'm.low'
m.high	numeric high value for mask, e.g. less than 'm.high'
c.low	numeric lower month value for calendar range
c.high	numeric higher month value for calendar range

Details

The methods currently available:

• ld_NPP: UMT/NTSG/v2/LANDSAT/NPP; 1986-01-01 - 2019-01-01.

• modis_NPP: UMT/NTSG/v2/MODIS/NPP; 2001-01-01 - 2019-01-01.

• terra: MODIS/006/MOD17A3HGF; 2001-01-01 - 2019-01-01.

• aqua: MODIS/006/MYD17A3HGF; 2002-01-01 - 2019-01-01.

Value

A list of Earth Engine Objects and arguments.

Examples

## Not run: 
# Load Libraries

library(rgee)
ee_Initialize()
library(exploreRGEE)

# Bring in data
huc <- exploreRGEE::huc

npp <- get_npp(huc, method = 'ld_NPP', param = 'annualNPP', startDate = '2014-01-01',
                  endDate = '2018-12-31')



## End(Not run)

joshualerickson/exploreRGEE documentation built on May 9, 2022, 10:33 p.m.