spatial frame work and land characterizing in africa rising and vital signs
DESCRIPTION
Presented by Zhe Guo, IFPRI at the Africa RISING–CSISA Joint Monitoring and Evaluation Meeting, Addis Ababa, Ethiopia, 11-13 November 2013TRANSCRIPT
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
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)
Current Stratification process 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
• Cropping systems
• Length of growth period
• Market access
Ghana and Mali
Tanzania
• Elevation • Rainfall
Malawi
• Weather station data
• Elevation
• Temperature
• Distance between the sites
• Elevation
• Rainfall
• Slope
Ethiopia
Target countries (Ghana, Tanzania, Ethiopia)
Both adopt LSMS instruments and modules
Soil sampling (nutrients, PH)
Biophysical variables
Socioeconomic variables
Agriculture production
Indicators
Similarity 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
Difference approaches in land stratification 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
Difference between AR and VS
Sustainable Agricultural Intensification
Soil health
Resilience
Biodiversity
Knowing land cover /cropping system pattern is important Climate forcing
Wood fuels
Livestock's
Water security
Monitoring
Scale up
Validation
Ecosystem services
Developing biodiversity security indicators
Water security
Difference between AR and VS
Field sampling
Household survey
Spatial coverage
Ghana?
Collaborations