Active fire detection with Sentinel-3 SLSTR

../_images/tuto_active-fire-detect_icon.png

Active fire detection with Sentinel-3 SLSTR

This service takes as input a Sentinel-3 SLSTR L1 acquisition and generates maps of the identified hot spots with Sentinel-3 cloud mask and CCI Global Land Cover. For input Sentinel-3 acquisitions on descending orbits it also generates RGB reflectances and hot spots maps.

EO sources supported

  • Sentinel-3 SLSTR L1

Output specifications

Output – Active fire
Correspondent file Active fire
Raster format GeoTIFF
resolution Native
Projection types EPSG:3857 - WGS84 – Pseudo Mercator
Output Filename example Active fire - product GeoTIFF (2019-08-25T13:54:37.0880000Z/2019-08-25T13:57:37.0880000Z DESCENDING) (2019-08- 25T13:54:37.0880000Z/2019-08-25T13:57:37.0880000Z DESCENDING)
Output – Active fire detection bitmask
Correspondent file Active fire detection bitmask
Raster format GeoTIFF
resolution Native
Projection types EPSG:3857 - WGS84 – Pseudo Mercator
Output Filename example Active fire detection bitmask (2019-08-25T13:54:37.0880000Z/2019-08-25T13:57:37.0880000Z DESCENDING) (2019-08- 25T13:54:37.0880000Z/2019-08-25T13:57:37.0880000Z DESCENDING)
Output – Active fire geojson
Correspondent file Active fire geojson
Raster format geojson
Output Filename example Active fire geojson (2019-08-25T13:54:37.0880000Z/2019-08-25T13:57:37.0880000Z DESCENDING) (2019-08-25T13:54:3 7.0880000Z/2019-08-25T13:57:37.0880000Z DESCENDING)
Output – Cloud mask
Correspondent file Cloud mask
Raster format GeoTIFF
resolution Native
Projection types EPSG:3857 - WGS84 – Pseudo Mercator
Output Filename example Cloud mask (2019-08-25T13:54:37.0880000Z/2019-08-25T13:57:37.0880000Z DESCENDING) (2019-08-25T13:54:37.0880000 Z/2019-08-25T13:57:37.0880000Z DESCENDING)
Output – notebook used for generating active_fire
Correspondent file Reproducibility notebook used for generating active_fire
File format Python file
Output Filename example Reproducibility notebook used for generating active_fire_20190825_135437_20190825_135737
Output – stage-in notebook for Sentinel-3 data for generating active_fire
Correspondent file stage-in notebook for Sentinel-3 data for generating active_fire
File format Python file
Output Filename example Reproducibility stage-in notebook for Sentinel-3 data for generating active_fire_20190825_135437_20190825_135737
  • RGB reflectances (DESCENDING orbits only)
Output – Reflectances composite
Correspondent file Reflectances composite
Raster format GeoTIFF
resolution Native
Projection types EPSG:3857 - WGS84 – Pseudo Mercator
Output Filename example Reflectances composite (2019-08-25T13:54:37.0880000Z/2019-08-25T13:57:37.0880000Z DESCENDING) (2019-08-25T13:5 4:37.0880000Z/2019-08-25T13:57:37.0880000Z DESCENDING)
Output – Reflectances composite and bitmask
Correspondent file Reflectances composite and bitmask
Raster format GeoTIFF
resolution Native
Projection types EPSG:3857 - WGS84 – Pseudo Mercator
Output Filename example Reflectances composite and bitmask (2019-08-25T13:54:37.0880000Z/2019-08-25T13:57:37.0880000Z DESCENDING) (201 9-08-25T13:54:37.0880000Z/2019-08-25T13:57:37.0880000Z DESCENDING)

This tutorial will describe the processing of Sentinel-3 SLSTR L1 images to generate a Hot spot map for the two input Sentinel-3 acquisitions on the GEP.

Select the processing

  • Login to the platform (see user section)
  • Select the processing service “Active fire detection with Sentinel-3 SLSTR”:
../_images/tuto_active-fire-detect_1.png

The “Active fire detection with Sentinel-3 SLSTR” panel is displayed with parameters values to be filled-in.

Fill the parameters

Reference input

  • Select the Sentinel-3 data collection in the EO Data button.
  • Select the area for which you want to do an anlysis, e.g over Bolivia.
../_images/tuto_active-fire-detect_1.1.png
  • Click on the lens icon to open the Search Panel
  • Select SL_1_RBT___ as Product Type
  • Apply the date value 2019-08-25 in both time:start and time:end fields
../_images/tuto_active-fire-detect_2.png
  • Drag and Drop the selected item in the first Input reference field:
../_images/tuto_active-fire-detect_3.png

Note

input can be picked up directly by using the following text filter: S3B_SL_1_RBT____20190825T135437_20190825T135737_20190826T182935_0180_029_124_3240_LN2_O_NT_003

Area Of Interest in WKT

  • Use the default value None

Note

you can also specify manually an AOI in WKT format, or draw an area on the map using the search tool and get its value from the Magic tool wizard

F1_BT threshold for daily acquisitions

F1_BT (Fire Band 1 Brightness Temperature) threshold in Kelvin degrees for daily acquisitions (descending passes)

  • Use the default value 325

BT difference threshold for daily acquisitions

BT (Brightness Temperature) difference threshold in Kelvin degrees for daily acquisitions (descending passes)

  • Use the default value 18

F1_BT threshold for night acquisitions

F1_BT (Fire Band 1 Brightness Temperature) threshold in Kelvin degrees for night acquisitions (ascending passes)

  • Use the default value 315

BT difference threshold for night acquisitions

BT (Brightness Temperature) difference threshold for night acquisitions

  • Use the default value 15

Run the job

  • Click on the button Run Job and see the Running Job
../_images/tuto_active-fire-detect_4.png
  • After about 20 minutes, see the Successful Job:
../_images/tuto_active-fire-detect_5.png

Results: download and visualization

  • Click on the button Show results
  • See the result on map:
../_images/tuto_active-fire-detect_6.png

  • The following files are produced:

    • Active fire - product GeoTIFF
    • Active fire detection bitmask
    • Active fire geojson
    • Cloud mask
    • Reflectances composite
    • Reflectances composite and bitmask
    • Reproducibility notebook used for generating active_fire_20190825_135437_20190825_135737
    • Reproducibility stage-in notebook for Sentinel-3 data for generating active_fire_20190825_135437_20190825_135737