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Sentinel-5P Level-3 (GeoTIFF)

Provides Sentinel-5P level-3 dataset for given time range and AOI


Introduction

The Sentinel-5P mission aims to perform atmospheric measurements with high spatio-temporal resolution. The Sentinel-5P Level 3 images are clipped, converted to Cloud Optimized GeoTIFF and used for air quality studies, climate monitoring or forecasting. The Sentinel-5P Level 3 images are acquired by the satellite sensor Sentinel-5P anywhere on the globe and are available starting with 2018.

Sentinel-5P Image
Sentinel-5P Image

Technical Information

Compatible blocks

Compatible blocks
Export Data (Raster)
Time Series Image Statistics

Geographic Coverage

The geographic coverage is global.

Dataset Information

SpecificationsDescription
Data ProviderAWS
InstrumentTropospheric Monitoring Instrument (TROPOMI)
Image TypeOptical (wavelength bands range between ultraviolet and shortwave infrared)
MeasurementsAir quality (sulfur dioxide, carbon monoxide etc.)
Ozone & UV radiation
Climate monitoring
Climate forecasting
Processing LevelsL3
Spatial ResolutionsMin: 7 x 3.5 sq. km.
Revisit FrequencyDaily
Data AvailabilitySince July 2018
File FormatCloud Optimized GeoTIFF
Clip to GeometryYes
Bit Depth32-bit float per pixel
Coordinate SystemWGS84 (EPSG 4326)
Can be reused in an UP42 workflowNo

Product Types

LayerDescription
L3__AER_AIUV Aerosol Index Daily composites (averages)
L3__CH4___Methane (CH4) total column Daily composites (averages)
L3__CLOUD_Cloud fraction, top pressure Daily composites (averages)
L3__CO____Carbon Monoxide (CO) total column Daily composites (averages)
L3__HCHO__Formaldehyde (HCHO) total column Daily composites (averages)
L3__NO2___Nitrogen Dioxide (NO2) Daily composites (averages)
L3__O3____Ozone (O3) total column Daily composites (averages)
L3__SO2___Sulphur Dioxide (SO2) total column Daily composites (averages)

The image metadata is returned by the Sentinel-5P Pre-Operations Data Hub.

Limitations

This data block does not support test queries or quicklooks.
This data block provides one image per day for a given interval.

How it works

Supported JSON parametersDefault valueMinMaxExamples
time"2020-05-01T00:00:00+00:00/2021-12-31T23:59:59+00:00"01.07.2018Present"time": "2018-11-01T00:00:00+00:00/2018-11-30T23:59:59+00:00"
layer""n.a.n.a."layer": "L3__NO2___"
qa_mask"nomask"n.a.n.a."qa_mask": "mask75"
geojson_urlnulln.a.n.a."geojson_url": "https://gist.githubusercontent.com/up42-epicycles/first_workflow_aoi.geojson"
fail_on_missingfalsen.a.n.a."fail_on_missing": false
bbox/contains/intersectsnulln.a.n.a.Please check the examples from the job parameters.
Good to Know

If you provide a URL to a GeoJSON that contains multiple geometries, the output is generated per geometry and then organized in sub-folders (per geometry feature).

Examples

Example based on a workflow created with the data block Sentinel-5P Level-3 (GeoTIFF) and the processing block Time Series Image Statistics:

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Capabilities

Output

raster
custom
band
[
  "L3__AER_AI",
  "L3__CH4___",
  "L3__CLOUD_",
  "L3__CO____",
  "L3__HCHO__",
  "L3__NO2___",
  "L3__O3____",
  "L3__SO2___"
]
up42_standard
dtypefloat
formatGTiff
sensorSentinel5P
resolution3500
processing_levell3
To know more please check the block capabilities specifications.

For more information, please refer to the marketplace.