This function uses the 30-m resolution image collection of Landsat Net Primary Productivity to get selected time frames. There's really only one product here so 'cloud_mask' is a method instead of a logical.
get_npp(
aoi,
method = "cloud_mask",
param = "annualNPP",
stat = "median",
startDate = "1986-01-01",
endDate = "2019-01-01",
mask = FALSE,
m.low = NULL,
m.high = NULL,
c.low = 1,
c.high = 12
)A sf object indicating the extent of the geom.
A character indicating what method to use, e.g. 'cloud_mask', 'raw'.
A character indicating what band to visualize, e.g. 'annualNPP'.
A character indicating what to reduce the imageCollection by, e.g. 'median' (default), 'mean', 'max', 'min', 'sum', 'stdDev', 'first'.
character format date, e.g. "2018-10-23"
character format date, e.g. "2018-10-23"
logical whether to mask out certain ranges
numeric low value for mask, e.g. greater than 'm.low'
numeric high value for mask, e.g. less than 'm.high'
numeric lower month value for calendar range
numeric higher month value for calendar range
A list of Earth Engine Objects and arguments.
The Landsat Net Primary Production (NPP) CONUS dataset estimates NPP using Landsat Surface Reflectance for CONUS. NPP is the amount of carbon captured by plants in an ecosystem, after accounting for losses due to respiration. NPP is calculated using the MOD17 algorithm (see MOD17 User Guide) with Landsat Surface Reflectance, gridMET, and the National Land Cover Database. Some composites were masked out because of missing data, high cloud contamination, and/or erroneous pixels which didn't meet the gap-filling method.
if (FALSE) {
# Load Libraries
library(rgee)
rgee::ee_intialize()
library(exploreRGEE)
# Bring in data
huc <- exploreRGEE::huc
npp <- get_npp(huc, method = 'cloud_mask', param = 'annualNPP', startDate = '2014-01-01',
endDate = '2018-12-31')
}