jecam collaborative priorities - nasa harvest
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G20 Global Agriculture Monitoring Initiative
GEOGLAM
:JECAM Collaborative Priorities
Pierre Defourny (UCLouvain) and Andrew Davidson (AAFC)Co-leads of JECAM
The GEO Agricultural Communityof Practice established JECAM in 2009 to enhance internationalR&D collaboration around agriculturalmonitoring towards a better use satelliteEarth Observation.
JECAM achieves this by: Network of voluntary research sites distributed across the world Share standards, time series from EO satellites and in-situ data Supporting methods inter-comparison of mapping, monitoring
and modeling
Origins
Beijing , 2009
Global network of over 30 voluntary JECAM sites
long-term network of widely distributed sites collecting each year differentEO time series and corresponding in situ data on a voluntary basis to embrace the global diversity of croppings systems
Network
• Develop common standards in definition, reporting methods and field protocols.
• Collect and share time-series datasets from a variety of Earth observing satellites and in-situ crop and meteorological measurements
• The Committee on Earth Observing Satellites (CEOS) and member agencies support with the acquisition and timely provision of data.
• Catalyze R&D activities across JECAM sites to establish a common understanding of the scientific state of the art
• Support the scaling up and the transition from research to operational monitoring system as key R&D component of GEOGLAM
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Principals
guidelines and reference documents
JECAM guidelines building onbest practices of the communityand collectively endorsed:
- Field data collection andsampling strategy
- Validation protocol
- Definition of annual cropland,typology for crop types andassociated management
- In situ measurements for biophysical variables
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guidelines and reference documents
ISO 19144-2 Land Cover Meta Language - 2014
– JECAM recommends to follow at least the JECAM guidelines or better
– Three types of in-situ data are expected to be annually collected during the main growing season
Crop mask (cropland and non-cropland)Crop type (main and possibly minor); Crop biophysical variables (e.g.biomass, LAI, fCover, or/and yield)
– Min satellite data requires a combination of optical, and Synthetic Aperture Radar (SAR) time series
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site requirementsMinimum Data Sets (MDS) for both satellite and in-situ data :
Site configuration– with the implementation of the
minimum dataset concept it is necessary to impose a predefined site configuration
– In order to encompass the diversity of regional crop types and crop development, a typical JECAM site will cover an area of 25 x 25 km (625 sq. km) and be representative of one or several cropping systems
– with a spatially nested core zone of 10 x 10 km (100 sq. km)
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10 x 10 km for most intensive field measurements
Area of 25 x 25 km representative of the cropping system
site requirements
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JECAM Request to CEOS Agencies• JECAM has received
a significant number of datasets from CEOS Agencies and has made great progress toward understanding the use of satellite data for agriculture monitoring.
• Improved access and coverage + early access to new mission datasets are needed to address the highlighted areas.
From the 2014 JECAM document JECAM Guidelines: Definition of the Minimum Earth Observation Dataset Requirements
supported by a CEOS Ad how WG
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Great CEOS support providing coordinated EO Data access for JECAM sites and a Datacube on-going experiment
Examples: SPOT-4 Take 5 and SPOT-5 Take 5 time series acq.
Radarsat-2 multi-year acquisitionand the MURF license
Pléiades imagery
Harmonized Landsat-Sentinel-2time series
Radarsat Constellation Mission acq.
RADARSAT-Constellation
supported by a CEOS Ad how WG
Past years science meeting – 2011 Calgary - Training workshop hosted by AAFC – 2014 Ottawa (Canada) hosted by AAFC (AAFC support)– 2015 Brussels (Belgium) hosted by UCLouvain (ESA Sen2-Agri support)– 2016 Kiev (Ukraine) hosted by SRI (FP7-SIGMA support)– 2017 Rome (Italy) hosted by FAO (FP7-SIGMA support)
Forthcoming - JECAM – AsiaRice joint science meeting~ 17-22 Sept. 2018 Taichung (Taiwan) hosted by Taiwan Ag. Res. Inst. (TARI support)
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annual reporting and science meetings
Brussels 2015 Rome, 2017
JECAM Experimental achievements3 cross-sites experiments published (6 papers)5 on-going cross-sites experiments
Crop Calenders
Landscape Pattern/FragmentationArgentina Brazil China Russia Ukraine
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Large diversityJECAM benchmarking of 5 cropland methods over 5 sites
large field experiment <<<<<<<<<<<<
<<<<<<<<<<<<
JECAM benchmarking of 5 cropland methods over 5 sites 5 partners to map cropland over 5 sites using the same 250 m MODIS time series and same in situ cal/val datasets
MODIS compatible with 20 ha field for cropland map Similar method accuracies for all 5 methods for a given site Differences (~9 %) according to ag. landscape patterns Influence of the data quality variable according to site
CHINA UKRAINE
large field experiment
SPOT 4 TAKE 5 FEB. TO MAY 2013
JECAM ARGENTINA
SPOT 5 TAKE 5APR. TO AUG. 2015
JECAM – cropland and crop types methods benchmarking over 12 sites in 2013over 6 sites in 2015
<<<<<<<<<<<<crop type experiment
JECAM cropland mapping method development 4 JECAM sites to test an innovative cropland classification method
CHINAUKRAINEARGENTINA BELGIUM
<<<<<<<<<<<<cross-site cropland method assessment
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JECAM source and density of calibration data (8 sites)
<<<<<<<<<<<<calibration dataset experiment
Comparison of in-situ, crowd- and land cover-derived data sources to understand their applicability for large scale cropland mapping over JECAM sites across the globe
JECAM experiment to assess the impact of the sampling strategy for cropland and crop type mapping Impact of different sampling schemes on cal./val operations - 5 JECAM sites enlarged to 4 Landsat-8 scenes- Investigation for windshield survey impact
JECAM crop type mapping in 2 contrasted cropping systems in Mali and Bangladesh
<<<<<<<<<<<<smallholder cropping system experim.
Mali Bangladesh
• 5 main crop types (cotton, maize, millet, peanut, sorghum)
• 1.45 ha±0.86 average field size• High heterogeneity level
• 2-3 crops per year (rice, lathyrus, mungbean, maize, jute, etc)
• Very small fields (~ 0.05 ha)• Very homogeneous fields
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in situ data model and data licenseSTAC – a data model to capitalize in situ over multiple years and sites (tested by JECAM Argentina)
Open data license to share JECAM data
JECAM SAR Cross-Sites Inter-comparison – Crop type mapping18 sites sharing in situ data and AAFC pre-processing all data
SAR experiments
i. Applying Operational SAR and Optical Classification Methods to Multiple Regions:
a) Applying Agriculture and Agri-Food Canada (AAFC) Earth Observation Crop Inventory Method to other JECAM Sites
b) Applying JECAM Member Sites’ SAR and Optical, OR SAR only (single frequency) Classification Methodologies to Multiple Regions
ii. Reducing the Impact of Cloud Cover on Operational Crop Inventories
iii. Multi-frequency SAR imagery for Crop Type Mapping
iv. Compact polarimetry and/or polarimetric decomposition variables for Crop Type Mapping.
Led by Andrew Davidson, Laura Dingle-Robertson (AAFC)
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JECAM SAR Cross-Sites Intercomparison – Biomass mapping10 sites sharing in situ data and AAFC pre-processing all data
SAR experiments
i. Enhance models using available data over Canadian and international JECAM sites
ii. Compare the WCM model with other models have been used by other JECAM sites
iii. Extend the model to other interested crop types such as rice
iv. Adapt the model to multi-frequency and Compact-Pol SAR.
Led by Heather McNairn, Mehdi Hosseini (AAFC)
impacts
JECAM allows to Involve JECAM partners in a fully international framework
Establish common standards to be able to dialog, to cross-compare and exchange on results
Raise the research standards and best practices for the JECAM partners
Mutually improve EO methods and in situ practicesthrough exchange and sometimes field visits
Attractive network for various initiatives
JECAM leverage resources from ESA Sentinel-2 for Agriculture, BMGates Foundation, FP7-SIGMA, FP7-Imagines, AAFC SAR inter-comparison, and link to AsiaRice
RESEARCH NEEDS and COLLABORATIVE PRIORITIES
Priorities and opportunities fromJECAM and USDA-AAFC perspective
research prioritiesShort term priorities from JECAM (within the year)o SAR on-the-job training for the JECAM SAR Inter-comparisons:
- in situ data collection (SAR specific protocols)- SAR time series exploitation by each JECAM team (Radarsat-2, Sentinel-1,
possibly TerraSAR-X)- SAR-optical synergy for crop type mapping and biomass
o Sentinel-2 time series exploitation using Sen2-Agri system versus alternative strategy :
- Training session for the JECAM teams starting with Sen2-Agri- On-going experience sharing through Sen2-Agri webinars- Exploitation using a virtual machine on cloud computing- Targeting marginal crop mapping in various contexts (limits and feasibility)
o Assessment of the HLS time series in different contexts
o Development of quantitative metrics for yield assessment
…To be completed by the JECAM network members
research prioritiesMid-term priorities from JECAM (0 to 2 years)
o In situ yield measurements : protocols and standards compatible with EO time series to discuss and recommend
o Yield estimation from EO and/or crop modelling, including the use of new ancillary datasets like IMERG, SMAP level 4 products, etc.
o Field delineation algorithm to be tested in different cropping systems
o Algorithm benchmarking for machine learning, phenometrics, and practices management across sites and geographies
…TBD at the annual science meeting
research prioritiesOpportunities for LTAR sites to join the JECAM networkaccording to the mandate of the LTAR sites ?
o Compare his/her own in situ and EO practices with regards to existing JECAM standards and exchange with others about these practices
o Get access to EO time series specifically of interest for agriculture monitoring
o Get exposed to globally distributed colleagues, challenges and get trained thanks to a very open and focused atmosphere
o Partner with scientific team to exploit long term archive across sites with shared methods
research prioritiesOpportunities for JECAM through a USDA-NASA-AAFC-SIAP partnerships
o Assessment of various new products in different cropping systems wherever they are available ou could proposed:o Evaporative Stress Index (ARS), o soil moisture product (USDA-NASA), o “Wetness” index (AAFC)o Greensat for Nitrogen management (SAGARPA-SIAP)
o Canadian Crop Yield Forecaster (AAFC - N.Newland)
o JECAM sites to be considered for the NISAR mission Cal/Val
o UAV exploitation to support in situ data measurements and scaling up
About Becoming a JECAM Member
Simple process:- Fill a questionnaire to document the site- Complete an annual report describing their research - Attend the annual science meeting- Be willing to share their science and data with other sites in the network
The value sites get from JECAM in proportional to their engagement
JECAM is a research platform, not a funder, however the coordinated nature of JECAM provides a compelling opportunity to attract research funding (national or international sponsors).
Please contact JECAM through the JECAM website (JECAM.org) or directly to Andrew Davidson( [email protected] )
