Skip to contents

Extract Nitrogen Dioxide data of Sentinel5

Source: R/get_no2.R
get_no2.Rd

A function that extract a time series of nitrogen dioxide (2018-07-10T10:05:44Z - 2022-05-15T00:00:00).

Usage

get_no2(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.

Value

a tibble object with the new variables.

Details

Name of some bands.

  • NO2_column_number_density (mol/m²): Total vertical column of NO2 (ratio of the slant column density of NO2 and the total air mass factor).

  • tropospheric_NO2_column_number_density (mol/m²): tropospheric vertical column of NO2.

  • stratospheric_NO2_column_number_density (mol/m²): stratospheric vertical column of NO2

  • NO2_slant_column_number_density (mol/m²): NO2 slant column density

  • tropopause_pressure (Pa): topopause pressure

  • absorbing_aerosol_index: Aerosol index (at wavelengths 354/388, i.e. the OMI pair) from the AER_AI level 2 product. See Level 2 Algorithms - Aerosol Index.

  • cloud_fraction: Effective cloud fraction. See the Sentinel 5P L2 Input/Output Data Definition Spec, p.220.

  • sensor_altitude (m): 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.

  • 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.

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_no2(
  from = "2019-02-01", to = "2019-12-31",
  band = "NO2_column_number_density", fun = "max")
}