A function that extract a time series of Aerosol index variables.
Arguments
- to, from
it's a string object,starting and final date.
- band
name of band.
- region
is a feature or feature collection.
- fun
function for extract statistic zonal (count, kurtosis, max, mean, median, min, mode, percentile, std, sum, variance, first).
- scale
A nominal scale in meters of the projection to work in.
Details
Name of some bands.
absorbing_aerosol_index (mol/m²): A measure of the prevalence of aerosols in the atmosphere, calculated by this equation using the 354/388 wavelength pair.
sensor_altitude (mol/m²): Altitude of the satellite with respect to the geodetic sub-satellite point (WGS84).
sensor_azimuth_angle (degrees): Azimuth angle of the satellite at the ground pixel location (WGS84); angle measured East-of-North.
sensor_zenith_angle (degrees): Zenith angle of the satellite at the ground pixel location (WGS84); angle measured away from the vertical.
sensor_zenith_angle (degrees): Azimuth angle of the Sun at the ground pixel location (WGS84); angle measured East-of-North.
solar_zenith_angle (degrees):Zenith angle of the satellite at the ground pixel location (WGS84); angle measured away from the vertical.
Examples
if (FALSE) {
library(tidyverse)
library(rgee)
library(innovar)
library(sf)
ee_Initialize()
# 1. Reading a sf object
data("Peru")
region <- Peru
region_ee <- pol_as_ee(region , id = 'distr' , simplify = 1000)
# 2. Extracting climate information
data <- region_ee %>% get_aero(
from = "2019-02-01", to = "2019-12-31",
band = "absorbing_aerosol_index", fun = "max")
}