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Automatic system to generate an
RGB mosaic of the Alps
A. Vianello, M. Amatori, A. Jacob, S. Tritini, B. Ventura
RGB mosaic system
Goal: Provide the latest image without clouds all
over the Alps
RGB mosaic system
Problem: The Alps are often covered by clouds
Goal: Provide the latest image without clouds all
over the Alps
RGB mosaic system
Tile information:
• UTM grid number
• Acquisition date
• Cloud coverage %
Tile overlapping
Rule:
Every tile is updated when a new one
with a cloud coverage and no-data
less then 30% is downloaded
RGB mosaic system
32TPS tile history
Spatial resolution: 1 pixel = 10 meters
100 Km
Screenshot date: 15-11-2019
Final RGB mosaic
Spatial resolution: 1 pixel = 10 meters
100 Km
Screenshot date: 15-11-2019
Final RGB mosaic
2 km
Spatial resolution: 1 pixel = 10 meters
100 Km
Screenshot date: 13-11-2019
Final RGB mosaic
Images processing: RGB generation and color stretching
Images automatization for images download, processing,
publication
Web Map Service for the Mosaic
DES Data Exchange Server is a software developed by Eurac
Research to facilitate automatization of tasks
PostgreSQL + PostGIS are used to store the UTM grid layer
and to update the attribute values
Development tools
Sen2Core
processing
Daily S2-
images
download
Unzip and move
files
RGB image
creation
Update layer store
in geoserver for the
single tile
Update group:
layer's order with
most recent tile on
the top
DES task to run bash script and python code
Update grid layer
with tile infoREADY
Workflow
File not
corrupted No Data < 30%
Cloud
coverage < 30%
Additional results
Flood event in Venice countryside, autumn 2018
Before After
Outlook:
To improve the quality of the mosaic we will use a Web Coverage Processing Service (WCPS)
to update the image with a pixel based approach.
Tile based Pixel based
Mosaic pixel based for 2019 in South Tyrol
http://sao.eurac.edu
Map: http://sdi.eurac.edu/sao_rgb/
WMS service: http://saocompute.eurac.edu/geoserver/ows?SERVICE=WMS/
Mosaic layer name: EURAC_S2_RGB_10m_alps_last
Tile layer name example: SENTINEL2:T33TWN
Eurac Research WMS service
Data provider
Copernicus Open Access Hub: https://scihub.copernicus.eu/
Map: http://sdi.eurac.edu/sao_rgb/
WMS service: http://saocompute.eurac.edu/geoserver/ows?SERVICE=WMS/
Mosaic layer name: EURAC_S2_RGB_10m_alps_last
Tile layer name example: SENTINEL2:T33TWN
Eurac Research WMS service
Copernicus Open Access Hub: https://scihub.copernicus.eu/
Thank you
andrea.vianello@eurac.edu
Data provider

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SFScon19 - Andrea Vianello - Automatic system to generate an RGB mosaic of the Alps

  • 1. Automatic system to generate an RGB mosaic of the Alps A. Vianello, M. Amatori, A. Jacob, S. Tritini, B. Ventura
  • 3. Goal: Provide the latest image without clouds all over the Alps RGB mosaic system
  • 4. Problem: The Alps are often covered by clouds Goal: Provide the latest image without clouds all over the Alps RGB mosaic system
  • 5. Tile information: • UTM grid number • Acquisition date • Cloud coverage % Tile overlapping Rule: Every tile is updated when a new one with a cloud coverage and no-data less then 30% is downloaded RGB mosaic system
  • 7. Spatial resolution: 1 pixel = 10 meters 100 Km Screenshot date: 15-11-2019 Final RGB mosaic
  • 8. Spatial resolution: 1 pixel = 10 meters 100 Km Screenshot date: 15-11-2019 Final RGB mosaic 2 km
  • 9. Spatial resolution: 1 pixel = 10 meters 100 Km Screenshot date: 13-11-2019 Final RGB mosaic
  • 10. Images processing: RGB generation and color stretching Images automatization for images download, processing, publication Web Map Service for the Mosaic DES Data Exchange Server is a software developed by Eurac Research to facilitate automatization of tasks PostgreSQL + PostGIS are used to store the UTM grid layer and to update the attribute values Development tools
  • 11. Sen2Core processing Daily S2- images download Unzip and move files RGB image creation Update layer store in geoserver for the single tile Update group: layer's order with most recent tile on the top DES task to run bash script and python code Update grid layer with tile infoREADY Workflow File not corrupted No Data < 30% Cloud coverage < 30%
  • 12. Additional results Flood event in Venice countryside, autumn 2018 Before After
  • 13. Outlook: To improve the quality of the mosaic we will use a Web Coverage Processing Service (WCPS) to update the image with a pixel based approach. Tile based Pixel based
  • 14. Mosaic pixel based for 2019 in South Tyrol http://sao.eurac.edu
  • 15. Map: http://sdi.eurac.edu/sao_rgb/ WMS service: http://saocompute.eurac.edu/geoserver/ows?SERVICE=WMS/ Mosaic layer name: EURAC_S2_RGB_10m_alps_last Tile layer name example: SENTINEL2:T33TWN Eurac Research WMS service Data provider Copernicus Open Access Hub: https://scihub.copernicus.eu/
  • 16. Map: http://sdi.eurac.edu/sao_rgb/ WMS service: http://saocompute.eurac.edu/geoserver/ows?SERVICE=WMS/ Mosaic layer name: EURAC_S2_RGB_10m_alps_last Tile layer name example: SENTINEL2:T33TWN Eurac Research WMS service Copernicus Open Access Hub: https://scihub.copernicus.eu/ Thank you andrea.vianello@eurac.edu Data provider