Aagw2010 June 09 Sibiry Traore Seeing is Believing West Africa Icrisat

8/9/2019 Aagw2010 June 09 Sibiry Traore Seeing is Believing West Africa Icrisat

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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

Documents

Aagw2010 June 09 Sibiry Traore Seeing is Believing West Africa Icrisat