aagw2010 june 09 sibiry traore seeing is believing west africa icrisat
TRANSCRIPT
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What you see is what you believe
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Objective Demonstrate the value of VHRI to
help scale up a few quick-win
productivity enhancement
technologies in 6 smallholdercommunities across Burkina Faso,
Ghana, Mali and Niger
Focus on the last 8 km
Candidate technologies:spatially optimized soil and
water management practices
Show a variety of value-added
products
Demonstrate real-world
deployability and potential
impact
Upload GIS datasets to shared
online AgCommons repository
Publish metadata on
GeoNetwork
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Phases, tasks 1: Organize project resources:
human, methods, tools
VHRIbox
VHRIex2 2: Roll out VHR and technology
related information at site level
Roll out VHRI to farmerfields (ROLLout)
: ep oy ncu ators on- armand in-silico
Populate VHRIbox throughin-situ interactions(OnFarm)
Explore VHRI supportfunctions for contour
ridge tillage (inSilico)
4: Package field data, lab data andsynthesize two-way feedbacks
Collate information fromincubators, forwardupdated maps to sites
and collect feedback(FEEDfwd)
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Very High Resolution? Veritably,
a Huge Revolution !!
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VHRI containers Preliminary VHRI extraction, in
laboratory no field experience
Results to be evaluated against
data collected during onFarm phase
6 file geodatabases created with
base imagery (BASEIMG), biomass
proxies (BIOMASS), field limits and
land use (FIELDSLU), topography
and soil information (TOPOSOIL),and ancillary data (OTHERS)
10 students trained in ESRI
geodatabase management
Operator on-screen digitization
approach can be subjective
DigitalGlobe copyright restrictions
QuickBird base imagery provided
in JPG panchromatic and
multispectral color composites only.
Full spatial resolution retained.
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A Manifesto Against Top-Down
Approaches
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Take part? Be part.
Importance of participatory
approaches
Learning by doing, Learning by
owning
Listening and observing? Giant time
leap
Farmer-led participatory sampling
approach: farmers (rather than
researchers) initiate group
formation (image group, non-image
group) themselves based on i/
family lineages, ii/ hamlets
distribution across the landscape,
iii/ relative size of hamlets in
number of households. This is an
intrinsically spatial, equitable
sampling protocol owned by thecommunity
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Sowing the Seeds of the
Bigger Picture
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ROLLout
entry points
Population: growth
Constraint: increasing demandon the production resource
base GO LOCAL Opportunity: increasing
diversification of incomesources for livelihoods GO
Identify site-specifictechnologies (and issues) thatcan benefit from VHRI support
VHRI as a tool to concurrentlyGO LOCAL and GO GLOBAL
6 sites, 3 days/site 44,000 km-person road travel
Direct interactions with 183smallholders
600+ photos, 600+mn of
streaming video
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Growing $trong
Roots
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Tree carbon
Originally: hotspots/brightspotsof soil fertility activity, buttrees in fields affect NDVI
anomalies New objective: quantify tree
layer with carbon marketsperspective
can be optimized for treedensity estimation frompanchromatic VHRI
CHT needs to be re-optimizedfor each site and for newimagery
Individual crown size estimatesfrom CHT are more prone toerror
Crown height from geometrictemplates
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Rain or Drain
That is the Question!!
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Contour Ridge Tillage
CRT specifically adapted toSudanian climate andintensifying systems (PIS, SER)
But, field sizes & geometry alsocome into play (NOB)
VHRI (+ satellite-derived DEMs)can be used to infer slope
provide some elements ofguidance for implementation ona landscape scale
However, satellite-derivedDEMs alone are not preciseenough for CRT installation at
the field level VHRI captures effects of CRT
on canopy establishment: morebiomass early (+69% avg in77% of fields, -11% avg. in
rest), more heterogeneity early,and more homogeneity late
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Carta
Franca
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Home Run with the Minister
of Agriculture
P bli
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Public awareness,
capacity building 7 bilingual blog entries online
at agcommons.org
Minister of Agriculture, Mali
Parliament representatives for
Banamba, Diema districts, Mali
Bilingual flyers produced, 14 x
4 sets of Trimble GPS andDELL computer equipment
distributed to partner NARS
10 students gained experience
with VHRI analysis and
exchange with farmers Cross-fertilization with BMZ-
funded CODEWA project
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Learnings: pluses, minuses
Pluses:
VHRI a fantastic tool for discussion support, and with demonstrated potential for arange of decision support (agro-forestry, water harvesting, fertility management)
a tool that helps both reveal (capture) farmer knowledge (including intrinsic spatialskills), and bridge shortcomings
enlightening interactions with farmers, learning opportunity for students, policymakers clearly see the potential for rural land tenure
a s n epen en y wor ng w or an enure nego a ons n
rural areas (forthcoming blog/flyer)
Minuses:
1-year timeframe more reasonable than 6-months
70K budget a limitation (field work logistics in widely distant locations)
Scarcity of qualified students (for laboratory and field activities), limited availabilityof experienced scientists for backstopping of field work
more work is needed to evolve knowledge from VHRI-triggered informationexchange (from a science perspective: need of socio-economic backstopping), ORMAYBE NOT (just dump the whole raw information without further delay)
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Next steps and recommendations
Now what?
Complete knowledge extraction from onFarm data
Serve data online on AGCommons.org including picture and video data
Next?
Continue to stimulate demand from locally elected officials through showcasing, with support
from AMEDD (Mali) Banamba, Diema districts, National Assembly.
Work out with AGCommons a communication strategy at a regional level
Develop a larger R4D proposal to scale up approach to 12 other sites in West Africa. Identifypartners and questions in East Africa (SIBEA).
Explore VHRI dissemination options with and without support. With suggested productivity
enhancement technologies, and without.
Translate VHRI into national languages interactive maps
Delegate processing tasks. Explore crowdsourcing options: VHRIbox: online student crowdsourcing with open-source software (e.g. GoogleMaps)
VHRIex2, ROLLout, FEEDfwd: through local NGO networks (to be identified)
onFarm: offline crowdsourcing with student interns (e.g. APEJ in Mali need to engage
political actors), embed VHRI in other participatory research
inSilico: re-discover locally adapted technologies with VHRI