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GIS/RS @ILRI An Notenbaert African Agriculture GIS Week 8-16 June 2010 Nairobi, Kenya
Attention! Attention!!! ,[object Object],[object Object],Different (spatial and temporal) scales Different target audiences Different position along research-development gradient
Attention! Attention!!! ,[object Object],[object Object]
IBLI ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Managing Risk in the ASALs
Impact of Drought on Livelihoods    The Marsabit Pilot ,[object Object],[object Object],[object Object],Proportion of total income by source Livestock mortality by cause
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Insurance and Agricultural Development
Index Based Insurance ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
NASA NDVI Image Produced By: USGS-EROS Data Center. Source: Famine Early Warning System Network (FEWS-NET) ,[object Object],[object Object],[object Object],NDVI  February 2009, Dekad 3 Deviation of NDVI from long-term average  February 2009, Dekad 3 Laisamis Cluster, zndvi (1982-2008) Historical droughts
Cumulative  differential NDVI
Derivation of livestock mortality index
Cumulative zNDVI & Temporal structure of IBLI contract Product Design
Attention! Attention!!! ,[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],From global climate change models to local impacts
AOGCMs used in the downscaling work Randall et al. (2007)
Scheme of the down-scaling analysis MarkSim stochastic weather generator Observed climate grid at resolution of choice Generate daily data characteristic of  a chosen “year” (time-slice) from 2000-2099 Applications WorldClim CRU etc Weather typing Jones, Thornton, Heinke (2009). Generating characteristic daily weather data using downscaled climate model data from IPCC’s Fourth Assessment
Applications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],http://futureclim.info/
ILRI’s offering ,[object Object],[object Object],[object Object]
Livestock Expertise ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Targeting and Systems Classification Framework ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Forward looking perspective ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
ILRI’s offering ,[object Object],[object Object],[object Object]
Future beauties ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example services  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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10. ilri 9june2010

  • 1. GIS/RS @ILRI An Notenbaert African Agriculture GIS Week 8-16 June 2010 Nairobi, Kenya
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 12. Derivation of livestock mortality index
  • 13. Cumulative zNDVI & Temporal structure of IBLI contract Product Design
  • 14.
  • 15.
  • 16. AOGCMs used in the downscaling work Randall et al. (2007)
  • 17. Scheme of the down-scaling analysis MarkSim stochastic weather generator Observed climate grid at resolution of choice Generate daily data characteristic of a chosen “year” (time-slice) from 2000-2099 Applications WorldClim CRU etc Weather typing Jones, Thornton, Heinke (2009). Generating characteristic daily weather data using downscaled climate model data from IPCC’s Fourth Assessment
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.

Editor's Notes

  1. So many good things going on in ILRI, a hard choice to make. I therefore decided to pick 2 quite contrasting applications: different time and spatial scales, different target audiences & differently positioned on the research-development / output-impact-outcome gradient.
  2. More details to be added
  3. Some details about these projects to be added