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18 June 2012, ARDD learning event 12:
How can we measure the multiple benefits for smallholder farmers that
                       underlie resilience?




   LAND HEALTH SURVEILLANCE FRAMEWORK



                         Henry Neufeldt
                    World Agroforestry Centre
Guidelines
AFRICASOILS SENTINEL SITE
A SPATIALLY STRATIFIED, HIERARCHICAL, RAN
                                            D MIZED
                                             O
SAMPLING FRAMEWORK




                                                      Sentinel site (100 km2)

                                                       16 Clusters (1 km2)

                                                        10 Plots (1000 m2)

                                                       4 Sub-Plots (100 m2)
2   )

        sub-plots (100 m2)
PREDICTING SOC STOCKS USING SOIL
INFRARED SPECTROSCOPY




       (a)                      (b)                   (c
                                                      )
Partial least squares (PLS) regression analysis:

(a) NIR and (b) MIR cross-validation
(c) density plot showing the reference data using the thermal
oxidation and the predicted values using NIR and MIR spectroscopy
                                                                    5
MAPPING SOC STOCKS

                                                           Mapping SOC Stocks using
                                                           high resolution (QuickBird)
                                                           satellite image

                                                           A landscape level SOC stocks
                                                           mapping can be made using
                                                           medium resolution satellite
                                                           imagery such as ASTER and
                                                           Landsat




SOC stocks in the mid Yala, western Kenya. The effect of cloud is masked as no
data

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Learning Event No. 12, Session: Namirembe. ARDD2012 Rio

  • 1. 18 June 2012, ARDD learning event 12: How can we measure the multiple benefits for smallholder farmers that underlie resilience? LAND HEALTH SURVEILLANCE FRAMEWORK Henry Neufeldt World Agroforestry Centre
  • 3. AFRICASOILS SENTINEL SITE A SPATIALLY STRATIFIED, HIERARCHICAL, RAN D MIZED O SAMPLING FRAMEWORK Sentinel site (100 km2) 16 Clusters (1 km2) 10 Plots (1000 m2) 4 Sub-Plots (100 m2)
  • 4. 2 ) sub-plots (100 m2)
  • 5. PREDICTING SOC STOCKS USING SOIL INFRARED SPECTROSCOPY (a) (b) (c ) Partial least squares (PLS) regression analysis: (a) NIR and (b) MIR cross-validation (c) density plot showing the reference data using the thermal oxidation and the predicted values using NIR and MIR spectroscopy 5
  • 6. MAPPING SOC STOCKS Mapping SOC Stocks using high resolution (QuickBird) satellite image A landscape level SOC stocks mapping can be made using medium resolution satellite imagery such as ASTER and Landsat SOC stocks in the mid Yala, western Kenya. The effect of cloud is masked as no data

Notes de l'éditeur

  1. We believe these challenges can be overcome using new science and technology.First use of robust statistical sampling schemes, such as this one being used by the Africa Soil Information Service.Sample plots are randomized in a hierarchical, spatially stratified way to avoid sampling bias and allow data to be aggregated at different spatial scales.
  2. Second, use of standardised, repeatable sampling protocols, tested under the toughest possible conditions