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.
Technical information
Compatible blocks
| Compatible blocks |
|---|
| Export Data (Raster) |
| Time Series Image Statistics |
Geographic coverage
The geographic coverage is global.
Dataset information
| Specifications | Description |
|---|---|
| Data provider | AWS |
| Instrument | Tropospheric Monitoring Instrument (TROPOMI) |
| Image type | Optical (wavelength bands range between ultraviolet and shortwave infrared) |
| Measurements | Air quality (sulfur dioxide, carbon monoxide etc.) Ozone & UV radiation Climate monitoring Climate forecasting |
| Processing levels | L3 |
| Spatial resolutions | Min: 7 x 3.5 km2 |
| Revisit frequency | Daily |
| Data availability | Since July 2018 |
| File format | Cloud Optimized GeoTIFF |
| Clip to geometry | Yes |
| Bit depth | 32-bit float per pixel |
| Coordinate system | WGS84 (EPSG 4326) |
| Can be reused in an UP42 workflow | No |
Product types
| Layer | Description |
|---|---|
L3__AER_AI | UV 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 parameters | Default value | Min | Max | Examples |
|---|---|---|---|---|
time | "2020-05-01T00:00:00+00:00/2021-12-31T23:59:59+00:00" | 01.07.2018 | Present | "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_url | null | n.a. | n.a. | "geojson_url": "https://gist.githubusercontent.com/up42-epicycles/first_workflow_aoi.geojson" |
fail_on_missing | false | n.a. | n.a. | "fail_on_missing": false |
bbox/contains/intersects | null | n.a. | n.a. | Please check the examples from the job parameters. |
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:
Capabilities
Output
raster
| custom | |
|---|---|
band | [
"L3__AER_AI",
"L3__CH4___",
"L3__CLOUD_",
"L3__CO____",
"L3__HCHO__",
"L3__NO2___",
"L3__O3____",
"L3__SO2___"
] |
| up42_standard | |
|---|---|
dtype | float |
format | GTiff |
sensor | Sentinel5P |
resolution | 3500 |
processing_level | l3 |
For more information, please refer to the marketplace.