Slide deck for the IPCC Briefing to Latvian Parliamentarians
Joint GWP CEE/DMCSEE training: Copernicus Land Monitoring Services for drought analysis by Roel Van Hoolst
1. Global Land Service
Operated through a consortium, lead by
Copernicus Land Monitoring Services for drought analysis Bruno Smets, Roel Van Hoolst VITO
2. Overview of Copernicus
Copernicus
Space Component European Space Agency (ESA) Sentinel & contributing satellite missions, ground segments
In-situ Component
European Environment Agency (EEA) land, air and water monitoring sensors
Service Component European Commission (EC) Land Marine Atmosphere Emergency Security Climate change
3. Global Land Service
•Support and consolidate:
–EU contribution to GEO/GEOSS
–EU policies at international level
•e. g. Climate and Development policies
–EU commitments under international treaties and conventions
•e. g. UN “Rio” conventions: UNFCCC, UNCCD, UNCBD
•EU Policy focus:
–Crop Monitoring and Food security in/outside Europe
–Biodiversity, Protected areas and Forest cover monitoring
–Drought Assessment and Desertification
–Carbon modeling, land use and land cover change
–Support to Earth Observation African Activities
5. 5
Portfolio 2014
Variable
Temporal Coverage
Temporal resolution
Spatial coverage
Spatial resolution
Sensor
Timeliness
LAI/FAPAR/FCover
1999 – present
10 days
Global
1km
SPOT/VGT
PROBA-V
3 days
2014 – present
10 days*
Europe
333m
PROBA-V
3 days
NDVI/VCI/VPI
1999 – present
10 days
Global
1km
SPOT/VGT
PROBA-V
3 days
Dry Matter Productivity
2009 – present
10 days
Global
1km
SPOT/VGT
PROBA-V
3 days
Burnt Area
1999 – present
1 day
Global
1km
SPOT/VGT
PROBA-V
3 days
TOC Reflectance
2013 – present
10 days
Global
1km
SPOT/VGT
PROBA-V
3 days
Surface Albedo
1999 – present
10 days
Global
1km
SPOT/VGT
PROBA-V
3 days
Land Surface Temperature
2009 – present
1 hour
10 days*
Global
0.05°
Geo
1 day
Soil Water Index
2007 – present
1 day
10 days*
Global
0.1°
Metop / ASCAT
1 day
Water bodies
1999 – present
10 days
Africa
Global*
1km
SPOT/VGT
PROBA-V
3 days
* Coming soon
http://proba-v.vgt.vito.be/
6. Quality Control
•Self-assessment by Consortium#1
–Technical product quality
–Scientific product quality
•Quality Assessment (CEOS LPV)
•Quality Monitoring, incl. cross-cut
–Service quality
•Independent assessment by Consortium#2
–Audit
–Reviews
–Technical user group
11. Crop monitoring information support
•Qualitative analysis
-Highlight areas with anomalies
-Reduce the field of investigation of the ground truth.
-Convergence of evidence with different sources of information (RS and field network)
•Quantitative analysis
- Yield forecast
•Impact analysis
-Quantify the extension of an anomaly
-Area, villages, population, production
12. Demonstration of the use of Copernicus product
•Generate standard crop monitoring analysis products from Copernicus Land service data.
•Preliminary test made with fAPAR monthly composite
•Over Slovenia
•Using the JRC free software SPIRITS
13. Post-Processing Software: SPIRITS
•JRC-VITO development: Software for the Processing and Interpretation of Remotely Sensed Image Time Series
•All tools to exploit RS time series & to make agro- meteorological bulletins
•Freely available, incl. Manual & Tutorials
•Many users: VITO, JRC, FAO, WFP, Africa
•Training sessions (± 50 so far)
14. The challenge of information analysis The analysis support products
•MAP analysis over Slovenia
- fAPAR evolution and anomalies
- Return frequency of fAPAR anomalies
- Cluster analysis
•GRAPH analysis per admin/land use
- fAPAR profil evolution
- at admin level 1 and 2
- over agriculture or forest/natural zones
15. The challenge of information analysis The reference data set
•Analysis made at statistics region and districts
•Through GLC2006 agriculture area
16. MAPs analysis protocols in SLOVENIA
fAPAR
1 dekad at a time
N dekads at a time
ANOMALIES
Cluster
VALUE
Cluster
Relative difference
Return frequency
17. Ten day fAPAR
Visualize the vegetation development extension
Need to display all the time series to get the time evolution
10 day fAPAR data
18. Ten day fAPAR anomalies
Visualize the vegetation development anomalies (stress, drought)
Difficult to identify area with persistent anomalies
19. Ten day fAPAR anomalies
Introduce another way to measure the anomalies
Use return frequency value
20. Cluster analysis of fAPAR evolution over AGRICULTURE
space and time synthesis
combine start/duration/intensity/extension
of fAPAR values
focus on land use (here “agriculture”)
-
Low
fAPAR
+
1
2
3
4
5
high fAPAR
21. Cluster analysis of fAPAR anomalies space and time synthesis combine start/duration/intensity/extension of an anomaly along the season focus on land use (here “agriculture”)
Mean
1999-2012
2013
above
+
1
2
3
4
5
-
2013 below
Class with a significant negative anomaly:
-20% below mean during more than one month
22. GRAPH analysis protocols
1 Period / 1 Year N Periods / 1 Year
Impact anomalies analysis
ANOMALIES VALUE
MAY JUNE JULY AUGUST SEPTEMBER OCTOBER
1 11 21 1 11 21 1 11 21 1 11 21 1 11 21 1 11 21
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
NDVI
RFE
INTENSITY
Impact anomalies analysis
%DIF
NDVI
25. NDVI profil evolution to analyse late/early start and higer/lower vegetation by comparing 2013 with average/min/max
GOOD
DEVELOPMENT
BELOW
AVERAGE
PASTURE
AGRICULTURE
26. Seasonal fAPAR evolution over the all historical series
under implementation
per statistics region and per land use (agriculture)
comparison of on going season with all the historical years
identify late start, shortened season, lower/higher potential
27. Seasonal fAPAR anomalies IMPACT evolution under implementation per statistics region and per land use (agriculture) calculate the agriculture areas affected by different anomalies classes along the season (here compared to mean)
For ONE date (ex. 20130911)
For the season (ex.20130501 to 20130911)
km2
28. Conclusion
•Copernicus Global Land service is operational
–Since 2013 … EC budget available till at least 2020
–Sustainable ‘daily’ delivery of NRT global products at ‘1km’
•13 global bio-geophysical variables
•Linked to consistent time series
•Continuous quality monitoring
•Continuous evolution
–In cooperation with FP7/H2020 projects
–Introduce back-up sensor
•Based METOP-AVHRR (sustain deliveries)
–Increase Spatial resolution 1km -> 300m
•2014: vegetation variables over Europe
•2015: more variables over Globe
–Exploit new capabilities from sensors
•2015 (tbc) SWI@1km: Metop ASCAT + Sentinel-1
•2016(tbc): add Sentinel-3 (1km / 300m), +PROBA-V -> S3A+B
•(tbc): Daily Global at 100m
–Add new products
•E.g. Phenology, Snow, Water Level, Vegetation Counter, ….
–Add hot-spot monitoring
•Sentinel-2 based, e.g. 30m FAPAR
29. Coordinator:
Bruno Smets – VITO
bruno.smets@vito.be
S&T contact:
Roselyne Lacaze – HYGEOS
rl@hygeos.com
Website:
http://land.copernicus.eu/global
Helpdesk:
helpdesk@vgt.vito.be
Contract Management:
Michael Cherlet – JRC
copernicuslandproducts@jrc.ec.europa.eu
Global Land consortium
Associates
29
Contact
30. Interesting online applications
Time series viewer (VITO)
•Visualisation of Copernicus NDVI, fAPAR
& CHIRPS rainfall data
•Prototype online:
http://tsviewer.vito-eodata.be/
Agricultural Stress Index System (VITO/FAO)
•Added value products derived from
METOP NDVI/BT4 imagery
& ECMWF/FEWS NET RFE rainfall data
•Maps & graphs online at:
http://www.fao.org/giews/earthobservation/