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Spatial frame work and land characterizing in Africa RISING and Vital Signs
Spatial frame work and land characterizing in Africa RISING and Vital Signs
Spatial frame work and land characterizing in Africa RISING and Vital Signs
Spatial frame work and land characterizing in Africa RISING and Vital Signs
Spatial frame work and land characterizing in Africa RISING and Vital Signs
Spatial frame work and land characterizing in Africa RISING and Vital Signs
Spatial frame work and land characterizing in Africa RISING and Vital Signs
Spatial frame work and land characterizing in Africa RISING and Vital Signs
Spatial frame work and land characterizing in Africa RISING and Vital Signs
Spatial frame work and land characterizing in Africa RISING and Vital Signs
Spatial frame work and land characterizing in Africa RISING and Vital Signs
Spatial frame work and land characterizing in Africa RISING and Vital Signs
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Spatial frame work and land characterizing in Africa RISING and Vital Signs

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Presented by Zhe Guo, IFPRI at the Africa RISING–CSISA Joint Monitoring and Evaluation Meeting, Addis Ababa, Ethiopia, 11-13 November 2013 …

Presented by Zhe Guo, IFPRI at the Africa RISING–CSISA Joint Monitoring and Evaluation Meeting, Addis Ababa, Ethiopia, 11-13 November 2013

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  • 1. Spatial frame work and land characterizing in Africa RISING and Vital Signs Zhe Guo, IFPRI Africa RISING–CSISA Joint Monitoring and Evaluation Meeting, Addis Ababa, Ethiopia, 11-13 November 2013
  • 2. Current Stratification process  Biophysical variables Rainfall (1km, 5km, 50km) Temperature (1km) Elevation (90m) Slope (1km) Length of growth period (5km, 10km) Land cover (30m, 300m, 1km) Farming systems Ago-Ecological zones (1km) Targeted crop distribution (10km)  Socioeconomic variables Travel time to major market (1km) Population density (100m, 1km)  Household variables Crop types Cropping system Individual crop share Livestock type and density  Expertise knowledge and regional database  Weather station
  • 3. Ghana and Mali • Cropping systems • Length of growth period • Market access
  • 4. Tanzania • Elevation • Rainfall
  • 5. Malawi • • • • Weather station data Elevation Temperature Distance between the sites
  • 6. Ethiopia • Elevation • Rainfall • Slope
  • 7. Similarity between AR and VS  Target countries (Ghana, Tanzania, Ethiopia)  Both adopt LSMS instruments and modules  Soil sampling (nutrients, PH)  Biophysical variables  Socioeconomic variables  Agriculture production  Indicators
  • 8. Difference approaches in land stratification between AR and VS  Vital Signs:  4 Tiers: from coarse to fine spatial resolution. Tier 1: Continental and regional satellite products Tier 2: Quick ground choosing plot + existing HH Tier 3: Water station Tier 4: Very high resolution imageries + HH  Africa Rising:  Land cover is considered but does not play a key role  Using best available and reliable biophysical and socioeconomic variables  HH and communities
  • 9. Difference between AR and VS  Utilization of satellite products on land monitoring Adopting existing land cover product (1 tier) Groundtruthing on crop types on the ground Develop project oriented land cover and land use product at at multi scale Monitoring changes and evaluating impacts using very high resolution images Feature extraction and identify the homogeneous units Scale up
  • 10. Knowing land cover /cropping system pattern is important  Climate forcing  Wood fuels  Livestock's  Water security  Monitoring  Scale up  Validation  Sustainable Agricultural Intensification  Soil health  Resilience  Biodiversity
  • 11. Difference between AR and VS  Ecosystem services  Developing biodiversity security indicators  Water security
  • 12. Collaborations  Field sampling  Household survey  Spatial coverage  Ghana?

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