Team 1: Easy-to-Use Satellite Images Discovery in a Map Viewer

1. Unifying Data and
Metadata
Tomáš Řezník, Karel Charvát, Šimon Leitgeb, Štěpán Kafka
TEAM 1 Easy-to-Use Satellite Images Discovery in a Map
Viewer
Orléans OGC/INSPIRE Hackathon, 22/3/2018

2. Supporting R&I Horizon 2020
projects
NextGEOSS
26 partners
from 12 countries
2016 – 2020
10.2 mil. €
http://nextgeoss.eu
Data-Driven Bioeconomy
48 partners
from 17 countries
2017 – 2019
16.2 mil. €
http://databio.eu
Policy Development based
on
Advanced Geospatial Data
Analytics and
Visualisation
15 partners
from 6 countries
2017 – 2020
3.9 mil. €
http://polivisu.eu/

3. Why?
The way we currently handle
geospatial metadata.
Images adopted from: organicwineexchange.com, vectorstock.com
Where can I find information on
what’s inside?
We have an application exactly for
that. Just go into the room at the
end of the shop, press the red
button to start the scanner and
then wait few seconds to see the
information that appears.

4. Current situation

5. Let’s move on
Image adopted from: Reznik, T., Chudy, R., Micietova, E. Normalized evaluation of the performance, capacity
and availability of catalogue services: a pilot study based on INfrastruture for SPatial InfoRmation in Europe.
International Journal of Digital Earth 9, 325-341 (2016). doi: 10.1080/17538947.2015.1019581

6. Software ingredients
• HSLayers NG
• Visualization library based on OL, Cordova, Bootstrap etc.
• http://ng.hslayers.org/
• Copernicus Open Access API
• Source of Sentinel images
• https://scihub.copernicus.eu
• NASA API
• Source of Landsat (and other images)
• https://api.nasa.gov/

7. Copernicus Open Access API
• Sample query
https://scihub.copernicus.eu/dhus/search?q=footp
rint:%22Intersects(POLYGON((16.75%2049.03,%201
7.12%2049.04,%2017.06%2049.30,%2016.78%204
9.29,%2016.75%2049.03)))%22&FORMAT=json
JSON
metadata parser

8. Copernicus Open Access API
• API produces JSON, however it is firstly parsed and
transformed into GeoJSON to handle geospatial
information correctly (Python script developed)
• Communication to NASA API in progress
JSON
metadata parser
GeoJSON

9. Current status

10. Outlook – Filtering
• Sample query
https://scihub.copernicus.eu/dhus/search?q=footp
rint:%22Intersects(POLYGON((16.75%2049.03,%201
7.12%2049.04,%2017.06%2049.30,%2016.78%204
9.29,%2016.75%2049.03)))%22&FORMAT=json
JSON
Metadata parser
328 satellite images
available
radar
multispectral
x
x

11. Outlook – Notifications
New Sentinel-2B image is available.
70.8% cloud coverage
DOWNLOAD (SAFE, 750 MB) IGNORE
Ongoing work also on integration of the NASA API (https://api.nasa.gov)

12. May the metadata be with you!
Image adopted from: http://clipground.com