SIGMA project Overview Background SIGMA - Facts Start 1 November - - PowerPoint PPT Presentation

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SIGMA project Overview Background SIGMA - Facts Start 1 November - - PowerPoint PPT Presentation

SIGMA project Overview Background SIGMA - Facts Start 1 November 2013 30 March 2017 Agriculture AND Environment 22 partners in 17 countries SIGMA Partners VITO, CIRAD, JRC, IIASA, Alterra, RADI, NMSC, DEIMOS, GeoSAS, RCMRD,


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SLIDE 1

SIGMA project

Overview

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SLIDE 2

Background

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SLIDE 3

SIGMA - Facts

  • Start 1 November 2013 – 30 March

2017

  • Agriculture AND Environment
  • 22 partners in 17 countries
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SLIDE 4

SIGMA Partners

VITO, CIRAD, JRC, IIASA, Alterra, RADI, NMSC, DEIMOS, GeoSAS, RCMRD, Aghrymet, Sarvision, Sarmap, INTA, Geoville, UCL, EFTAS, FAO, ITC, GISAT, IKI, SRI

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SLIDE 5

SIGMA - Facts

  • Start 1 November 2013 – 30 March

2017

  • Agriculture AND Environment
  • 22 partners, 17 countries
  • VITO, CIRAD, JRC, IIASA, Alterra, RADI, NMSC, DEIMOS,

GeoSAS, RCMRD, Aghrymet, RCMRD, Sarvision, Sarmap, INTA, Geoville , UCL, EFTAS, FAO, ITC, GISAT, IKI, SRI

  • Argentina, Ukraine, China, Russia,

Africa, USA, Brazil, Vietnam, Belgium, …

  • 9 M EUR
  • GEO! (& GEOGLAM)
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SLIDE 6

Challenge

  • 2050 – 70% increase in agricultural productivity?
  • Sustainable intensification of agriculture:
  • Agricultural Expansion
  • Agricultural Intensification

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SLIDE 7

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Monitoring Agricultural production Impact Assessment of Crop land Dynamics on the Environment Satellite, ancillary, farmer declarations and Meteo data Current Yield, Area, Production estimates & forecasts Agro-met models & statistics Crop Mask “Anomaly” detection

“Short term” perspectives of agricultural Productivity

Cross-season Assessment

  • f Crop land expansion

and intensification Crop land Change Shifts in Agricultural systems

“Longer term” perspectives of agricultural Productivity

Impact assessment on other land uses, natural resources and future scenarios

SIGMA Existing monitoring systems

SIGMA Concept

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SLIDE 8

Activities

Land cover & crop land assessment (UCL) Agricultural Productivity (Alterra)

  • Env. Impact

Assessment of Land use change (IIASA)

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Sites: IKI RAN, SRI, RADI, CIRAD, INTA, VITO, UCL, GEOSAS, AGHRYMET

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SLIDE 9

Global?

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Verification & evaluation Learning Learning Evaluation Learning Evaluation

Global Local Regional

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SLIDE 10

Dataset Coordination

  • With JECAM Coordination office & GEO Sec
  • Baseline data sets
  • Sites
  • Field data
  • Satellite data (SAR, Landsat, Sentinel, DEIMOS, DMC, VHR, ..)
  • Regional, Global. Time series of:
  • FY-3
  • PROBA-V
  • MODIS / VIIRS
  • Sentinel-3
  • Metop

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SLIDE 11

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Variety of data sources

  • FY-3, DEIMOS-1, PROBA-V, Operationally available since November 2013
  • To come: Sentinel 1-2-3
  • Very High Resolution
  • CEOS through GEOGLAM
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SLIDE 12

JECAM sites

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SLIDE 13

Sites

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Argentina China Belgium - France Madagascar Brazil Tanzania Ukraine Russia

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SLIDE 14

Field data collection

  • A priori information: maps, statistics, crop calendars
  • Topography, soil (texture, type, rooting depth), climatic data

(rainfall, radiation, temperature), yields (5years)

  • Survey:
  • GPS coordinates
  • Points: Road, stratified grid
  • Field boundaries
  • Landcover information:
  • Land cover;
  • Crops: crop type
  • Crops: ancillary

» rainfed, irrigated, partially irrigated » Main cropping practise (tillage management, rotatoin, multi-cropping, use of chemicals / fertilizers, mechanization, sowing/flowering/harvesting dates, livestock)

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SLIDE 15

Data management

  • GEOSS standards

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Product Distribution Facility (PDF) Product Evaluation Facility (PEF) SIGMA Product Inputs & Outputs

SIGMA Data management Components

Agro-environmental Monitoring Community Product Analysis Facility (PAF)

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SLIDE 16

Land cover & crop land assessment

  • Challenge:
  • Diversity of systems
  • Variable field sizes, scale
  • Landscape fragmentation
  • Approach
  • Agro-env stratification
  • Reference data
  • Method benchmarking
  • Site, Regional, global, hotspots
  • Agricultural statistics

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Stratification Global RS data pre-processing MR-HR-SAR Trend analysis Crop land projections Method benchmarking and development Land cover change in hot spot areas Global cropland mapping Reference data compilation

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SLIDE 17

Agricultural Productivity

  • Challenge:
  • Agricultural systems dynamics & management practises
  • Approach
  • Trend analysis of environmental parameters
  • Multiple data sets & Compatibility
  • Soil Moisture, evapotranspiration
  • High resolution + Low resolution
  • Change detection
  • Agricultural systems analysis
  • Characterization

» Cropping system, species, rotation

  • Analyze Yield gaps using crop models & EO

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SLIDE 18

Agricultural Productivity

  • Challenge:
  • Agricultural systems dynamics & management practises
  • Approach
  • Trend analysis of environmental parameters
  • Multiple data sets & Compatibility
  • Soil Moisture, evapotranspiration
  • High resolution + Low resolution
  • Change detection
  • Agricultural systems analysis
  • Characterization

» Cropping system, species, rotation

  • Analyze Yield gaps using crop models & EO

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SLIDE 19
  • Env. Impact Assessment of Landuse Change

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  • Challenge
  • Methodology
  • Approach:
  • Local
  • Impact analysis of land use and management changes
  • Identify stress factors of yield gap analysis
  • Projections
  • Projections of cropland and major systems for 2030, 2050
  • Assess impacts on agricultural productivity
  • Global
  • Impact of crop land changes on other land cover types,

water use and nutrient balances

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SLIDE 20

Capacity building

  • Capacity needs assessment
  • Agricultural Statistics
  • Global/national Agricultural land use and crop yield

assessments

  • Design curriculum
  • Modules
  • Training and E-learning materials
  • 4 international workshops / seminars

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SLIDE 21

Expected output

  • Scientific
  • Products
  • Global agro-environmental stratification Database
  • Multi-resolution annual cropland maps
  • Country Land cover analysis database for selected areas
  • Time series of satellite derived parameters
  • Hotspot maps identifying zones with high variability and

agro-environmental changes and description

  • Maps of potential/actual yield and gaps
  • Training materials
  • SIGMA Data Management Portal

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Thank You!

VITO, CIRAD, JRC, IIASA, Alterra, RADI, NMSC, DEIMOS, GeoSAS, RCMRD, Aghrymet, Sarvision, Sarmap, INTA, Geoville, UCL, EFTAS, FAO, ITC, GISAT, IKI, SRI