Upload
truongtu
View
222
Download
1
Embed Size (px)
Citation preview
“SENTINEL-2 FOR AGRICULTURE” OVER MULTIPLE SITES
Bellemans N., Bontemps S., Arias M.,, Cara C., Dedieu G., Guzzonato E., Hagolle O., Inglada J., Morin D., Rabaute T., Savinaud M., Udroiu
C., Valero S., Koetz B., Defourny P.
and 12 benchmarking & demonstration site partners
11-12 October – 2016 JECAM Science Meeting – Kiev, Ukraine
• EO response to operational agricultural applications: – Emerging collaborative initiatives endorsed by G20 in the context of GEO
(AMIS, GEOGLAM)
– JECAM initiative opening the door to move from local experiments to global solutions
– CEOS support to global agriculture users requirements
– US and Chinese efforts on 30-m global croplands mapping
– Sentinel-2 mission to finally reach agriculture expectations (jointly with Landsat-8 and Sentinel-1)
Unique momentum for satellite
remote sensing in agriculture
Multispectral High Resolution Optical Imager
• Launch: Sentinel-2a in orbit since June 23rd 2015
Sentinel-2b : Q1 2017
• 13 bands (VIS, NIR & SWIR)
• 290 km swath at 10, 20 and 60 m
•Systematic acq. of all land and coasts
•5 days repeat cycle with 2 satellites
•7 years design lifetime (max. 12 yrs)
290 km
Sentinel-2 Swath & resolution 10 m for field scale mapping
10 meters resolution
Sentinel-2 for Agriculture project : User-driven approach to define the requirements
Consortium Champion Users + sites managers
Support & data provider
Survey filed up by 42 institutions
1st User Consultation organized by ESA in 2012
2nd User Consultation through surveys in 2014
1st Sen2-Agri Users Workshop – FAO May 2014
2nd Sen2-Agri Users Workshop – EU Nov. 2015
EARLY AREA INDICATOR
EARLY AREA INDICATOR
Binary map identifying annually cultivated land at 10m updated every month
Crop type map at 10 m for the main regional
crops including irrigated/rainfed
discrimination
Vegetation status map at 20 m delivered every
week (NDVI, LAI, pheno index)
Monthly cloud free surface reflectance composite at 10-20 m
System to deliver 4 Sen2-Agri products
in line with the GEOGLAM core products
3-phase approach
Users requirements & methods
development 2014
System development and EO products
2015
Demonstration & Validation 2016-2017
User Requirements Products specification Methods development
12 sites globally distributed
12 test sites, relying on JECAM network, spread over the world, which represent more than 17 major crop types
4 scientific papers published
Benchmarking to select the best
algorithms for each product
Phase 1
Phase 1- Users req. and methods development
2014
Phase 2 - System development
and EO products 2015
Phase 3 – Demonstration
& Validation 2016-2017
User Requirements
Products specification
Methods development
4 agriculture products
Open source system
Prototypes & validation
based on SPOT 4/5
Take 5 & Landsat-8
12 sites globally distributed
Phase 2 Sen2-Agri system development
and test from SPOT & Landsat-8 data
A open source system designed to run in an automated/offline mode and deliver agricultural products as the satellite images are ingested
Sen2-Agri system design
Phase 1- Users req. and methods development
2014
Phase 2 - System development
and EO products 2015
User Requirements
Products specification
Methods development
4 agriculture products
Open source system
Prototypes & validation
based on SPOT 4/5
Take 5 & Landsat-8
12 sites globally distributed
Phase 3 Sen2-Agri demonstration & Validation
Demonstration & Validation 2016-2017
National use cases Local use cases Capacity building Training activities
Fitness-to-use assessment
System qualification
To demonstrate the Sen2-Agri system and NRT products using Sentinel-2a & Landsat 8 at national scale with in situ system implementation
Demonstration phase : 3 national sites
Ukraine (SRI) South Africa (ARC) Mali (ICRISAT & IER)
Demonstration phase : 8 local sites
+ Bangladesh & Obregon (Mexico) (CIMMYT)
To demonstrate NRT products using Sentinel-2 & Landsat 8 at local scale
(~ 300 x 300 km)
Demonstration production status on the Sen2Agri production server
Site Season Automatic Download
L2A Atm Corr
L3A Composite (/month)
L3B LAI (/10 days)
L4A IS data Cropland
(/month from mid-season)
L4A no IS data Cropland
(/month from mid-season)
L4B Croptype
(2x/season)
Ukraine April - Oct 2016 NRT (S2 & L8) NRT (S2 & L8) In progress Until July
In progress Until July
NRT September
TBS NRT September
Mali June – Nov 2016 NRT NRT In progress Until July
In progress Until July
TBS TBS TBS
South Africa Oct 2016 – April
2017 Season not started yet
/ / / / / /
China June – Oct 2016 NRT NRT NRT
Until August
In progress Until June
TBS TBS TBS
Sudan July – Nov 2016 NRT NRT NRT
Until August
NRT Until October
TBS NRT
September TBS
France Feb – Nov 2016 NRT NRT In progress Until June
In progress Until July
TBS TBS TBS
Morocco Jan – July 2016 NRT NRT TBS TBS TBS TBS TBS
Madagascar Oct 2016 – April
2017 Season not started yet
/ / / / / /
*TBS : to be started
Parallel processing at national site manager premises.
First nationwide cloud free composite at 10m
resolution from Sentinel-2
1st of July composite
Overall accuracy: 0,96
Non cropland
Cropland
F-score cropland: 0,97
First nationwide crop type map at 10m
resolution from Sentinel-2
Train set – 5536 parcels/samples
1st system validation:
Fully independent validation still to be performed
Overall accuracy = 0,81
First nationwide crop type map at 10m
resolution from Sentinel-2
1st system validation:
France & Sudan cloud free composite
France – Midi-Pyrénées Sudan – White Nile / South Sudan
Amount of downloaded product (L1C Sentinel-2 and L1T Landsat 8)
For the system initialization (multi-temporal atmospheric correction)
S2: 63 products, 226 GB
L8: 327 products, 621 GB
For the growing season until today
S2: 427 products – 1.341TB
L8: 623 products – 1.2TB
Amount of L2A generated
For the system initialization
S2: 63 products, 756 GB (2 months)
L8: 146 products, 205 GB (3 months)
For the growing season until today
S2: 427 products – 5.33 TB
L8 : 554 products – 775 GB
High level figures :
Ukraine national demonstration
• For Atmospheric correction: Around 30 minutes per tile
• For Cloud free composite: 8 days for a product with S2 and L8 using a 50-day
moving window (~800Giga of data combined)
• For LAI: Approx. 3 minutes/ tile
• For Cropland mask: About 3 days for the raw crop mask, about 5 days for post-
filtering step
• For Croptype map: About 8 days
National hardware server : 2 x Intel(R) Xeon(R) CPU E5-2650 v3 @ 2.30GHz (20 cores
total, 40 threads), 128 GB RAM (26 TB disk space)
System performances over national sites
Use cases objectives:
• Evaluate the overall performance of the system in real conditions
• Get feedback from the users
• Assess the level of support that further deployment of the system would require
• Get results and materials useful for the promotion of project’s results
Going from EO products to information
Ukraine France, Midi-Pyrénées
Morocco Madagascar Sudan/South-Sudan
Main interest Winter wheat crop production estimation
Real time water management for irrigation
- Tracking crop development of wheat and sugar beet, - Optimization of water allocation for irrigation
Food security: main crop acreage and conditions
Create reliable and up-to-date agricultural land cover database and an area frame for sampling in Agricultural Estimates
Information to retrieve from the Sen2Agri products
- Area of winter wheat - Indicator of the development stage and LAI of winter wheat - Crop type - NDVI - LAI
Maize map and growth stage for irrigation performances - Crop type - NDVI - LAI
- The area of wheat and sugar beet fields - NDVI an indicator of the crop development
Cropland, rice area, diversity of crops, rice growth anomalies -Crop mask -Crop type -NDVI -LAI
Area of main crops Indicator of the development stage -Crop type -NDVI
Season 2016 : area indicator per oblast
for the 5 main crops
18/02/2016
18/04/2016
28/04/2016
17/06/2016
17/07/2016
09/08/2016
LAI series over cropland
18/02/2016
18/04/2016
28/04/2016
17/06/2016
17/07/2016
09/08/2016
LAI series over winter wheat
Capacity Building - Hands-on Training Nov.15 at UCLouvain May 12-14 at LPS-Prague
User documentation
Product description sheets and the Product data structure summary
• Launch of the NRT production over South Africa and Madagascar where the season is starting
• Open system transferred to the sites
• Importance of an independent validation dataset to perform strong and fully independent product validation
• Accompany the sites in their use case development with local needs and local end-users
Next steps
Demonstration : to be completed by Spring 2017
to release a qualified Sen2-Agri system
Release of a qualified Sen2Agri system as open source code validated, fully documented and downloadable for all
http://www.esa-sen2agri.org/
Thank you for your attention
…and let’s learn from the diversity of agrosystems
http://www.esa-sen2agri.org/