get_o3: Extract Ozone data of Sentinel5
In healthinnovation/lis: InnovaLab Toolkit

get_o3

R Documentation

Extract Ozone data of Sentinel5

Description

A function that extract a time series of ozone (2018-07-10T11:02:44Z - 2022-05-15T00:00:00).

Usage

get_o3(from, to, band, region, fun = "max", scale = 1000)

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.

O3_column_number_density (mol/m²): Total atmospheric column of O3 between the surface and the top of atmosphere, calculated with the DOAS algorithm.
O3_column_number_density_amf (mol/m²): Weighted mean of cloudy and clear air mass factor (amf) weighted by intensity-weighted cloud fraction.
O3_slant_column_number_density (mol/m²): O3 ring corrected slant column number density.
O3_effective_temperature (K): Ozone cross section effective temperature.
cloud_fraction: Effective cloud fraction. See the Sentinel 5P L2 Input/Output Data Definition Spec, p.220.
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.
solar_azimuth_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.

Value

a tibble object with the new variables.

Examples

## Not run: 

library(tidyverse)
library(rgee)
library(innovar)
library(sf)
ee_Initialize()

# 1. Reading a sf object
region <- Peru
region_ee <- pol_as_ee(region , id = 'distr' , simplify = 1000)
# 2. Extracting climate information
data <- region_ee %>% get_o3(
  from = "2019-02-01", to = "2019-12-31",
  band = "CO_column_number_density", fun = "max")

## End(Not run)

healthinnovation/lis documentation built on June 19, 2024, 6:06 a.m.