SlideShare a Scribd company logo
1 of 6
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

More Related Content

What's hot

F:\Work\Gps & Gis\Gps
F:\Work\Gps & Gis\GpsF:\Work\Gps & Gis\Gps
F:\Work\Gps & Gis\Gps
guestf48f25
 

What's hot (18)

How to calculate NDVI using QGIS
How to calculate NDVI using QGISHow to calculate NDVI using QGIS
How to calculate NDVI using QGIS
 
SfM Workflow Presentation
SfM Workflow PresentationSfM Workflow Presentation
SfM Workflow Presentation
 
Gps presentation 2006 10
Gps presentation 2006 10Gps presentation 2006 10
Gps presentation 2006 10
 
F:\Work\Gps & Gis\Gps
F:\Work\Gps & Gis\GpsF:\Work\Gps & Gis\Gps
F:\Work\Gps & Gis\Gps
 
Global Postioning System
Global Postioning SystemGlobal Postioning System
Global Postioning System
 
Data Logging
Data LoggingData Logging
Data Logging
 
Geoscience satellite image processing
Geoscience satellite image processingGeoscience satellite image processing
Geoscience satellite image processing
 
Satellite eyes observe our world: An intro to remote sensing
Satellite eyes observe our world: An intro to remote sensingSatellite eyes observe our world: An intro to remote sensing
Satellite eyes observe our world: An intro to remote sensing
 
Workshop two
Workshop twoWorkshop two
Workshop two
 
Gps Slides Slideshare
Gps Slides SlideshareGps Slides Slideshare
Gps Slides Slideshare
 
TEAM 11: Expanding Open Land Use Map by Terrain Characteristic
TEAM 11: Expanding Open Land Use Map by Terrain CharacteristicTEAM 11: Expanding Open Land Use Map by Terrain Characteristic
TEAM 11: Expanding Open Land Use Map by Terrain Characteristic
 
GIS and GPS
GIS and GPSGIS and GPS
GIS and GPS
 
What's new in ar kit 2
What's new in ar kit 2What's new in ar kit 2
What's new in ar kit 2
 
GPS and GIS
GPS and GISGPS and GIS
GPS and GIS
 
New Jersey Land Change Viewer
New Jersey Land Change ViewerNew Jersey Land Change Viewer
New Jersey Land Change Viewer
 
Change Detection Examples
Change Detection ExamplesChange Detection Examples
Change Detection Examples
 
Applications of used gps in land surveying
Applications of used gps in land surveyingApplications of used gps in land surveying
Applications of used gps in land surveying
 
Introduction to Digital Maps
Introduction to Digital MapsIntroduction to Digital Maps
Introduction to Digital Maps
 

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

4 ROMAN_IGARSS'11.ppt
4 ROMAN_IGARSS'11.ppt4 ROMAN_IGARSS'11.ppt
4 ROMAN_IGARSS'11.ppt
grssieee
 
Indian remote sensing satellite mission
Indian remote sensing satellite missionIndian remote sensing satellite mission
Indian remote sensing satellite mission
adevekar
 
URBAN AREA PRODUCT SIMULATION FOR THE ENMAP HYPERSPECTRAL SENSOR.ppt
URBAN AREA PRODUCT SIMULATION FOR THE ENMAP HYPERSPECTRAL SENSOR.pptURBAN AREA PRODUCT SIMULATION FOR THE ENMAP HYPERSPECTRAL SENSOR.ppt
URBAN AREA PRODUCT SIMULATION FOR THE ENMAP HYPERSPECTRAL SENSOR.ppt
grssieee
 
URBAN AREA PRODUCT SIMULATION FOR THE ENMAP HYPERSPECTRAL SENSOR.ppt
URBAN AREA PRODUCT SIMULATION FOR THE ENMAP HYPERSPECTRAL SENSOR.pptURBAN AREA PRODUCT SIMULATION FOR THE ENMAP HYPERSPECTRAL SENSOR.ppt
URBAN AREA PRODUCT SIMULATION FOR THE ENMAP HYPERSPECTRAL SENSOR.ppt
grssieee
 
WE4.L10.5: ADVANCES IN NIGHTTIME SATELLITE REMOTE SENSING CAPABILITIES VIA TH...
WE4.L10.5: ADVANCES IN NIGHTTIME SATELLITE REMOTE SENSING CAPABILITIES VIA TH...WE4.L10.5: ADVANCES IN NIGHTTIME SATELLITE REMOTE SENSING CAPABILITIES VIA TH...
WE4.L10.5: ADVANCES IN NIGHTTIME SATELLITE REMOTE SENSING CAPABILITIES VIA TH...
grssieee
 
SIXTEEN CHANNEL, NON-SCANNING AIRBORNE LIDAR SURFACE TOPOGRAPHY (LIST) SIMULATOR
SIXTEEN CHANNEL, NON-SCANNING AIRBORNE LIDAR SURFACE TOPOGRAPHY (LIST) SIMULATORSIXTEEN CHANNEL, NON-SCANNING AIRBORNE LIDAR SURFACE TOPOGRAPHY (LIST) SIMULATOR
SIXTEEN CHANNEL, NON-SCANNING AIRBORNE LIDAR SURFACE TOPOGRAPHY (LIST) SIMULATOR
grssieee
 

Similar to Learning Event No. 12, Session: Namirembe. ARDD2012 Rio (20)

11h00 carlos roberto 21 08 botafogo
11h00 carlos roberto 21 08 botafogo11h00 carlos roberto 21 08 botafogo
11h00 carlos roberto 21 08 botafogo
 
In sar 1-1-2011
In sar 1-1-2011In sar 1-1-2011
In sar 1-1-2011
 
Cc ds
Cc dsCc ds
Cc ds
 
4 ROMAN_IGARSS'11.ppt
4 ROMAN_IGARSS'11.ppt4 ROMAN_IGARSS'11.ppt
4 ROMAN_IGARSS'11.ppt
 
C011121114
C011121114C011121114
C011121114
 
Indian remote sensing satellite mission
Indian remote sensing satellite missionIndian remote sensing satellite mission
Indian remote sensing satellite mission
 
isprsarchives-XXXVIII-4-W19-137-2011.pdf
isprsarchives-XXXVIII-4-W19-137-2011.pdfisprsarchives-XXXVIII-4-W19-137-2011.pdf
isprsarchives-XXXVIII-4-W19-137-2011.pdf
 
Remote sensing Techniques Dr. Ange Felix NSANZIYERA
Remote sensing Techniques Dr. Ange Felix NSANZIYERARemote sensing Techniques Dr. Ange Felix NSANZIYERA
Remote sensing Techniques Dr. Ange Felix NSANZIYERA
 
hyperspectral remote sensing and its geological applications
hyperspectral remote sensing and its geological applicationshyperspectral remote sensing and its geological applications
hyperspectral remote sensing and its geological applications
 
Remote sensing overview
Remote sensing overviewRemote sensing overview
Remote sensing overview
 
URBAN AREA PRODUCT SIMULATION FOR THE ENMAP HYPERSPECTRAL SENSOR.ppt
URBAN AREA PRODUCT SIMULATION FOR THE ENMAP HYPERSPECTRAL SENSOR.pptURBAN AREA PRODUCT SIMULATION FOR THE ENMAP HYPERSPECTRAL SENSOR.ppt
URBAN AREA PRODUCT SIMULATION FOR THE ENMAP HYPERSPECTRAL SENSOR.ppt
 
URBAN AREA PRODUCT SIMULATION FOR THE ENMAP HYPERSPECTRAL SENSOR.ppt
URBAN AREA PRODUCT SIMULATION FOR THE ENMAP HYPERSPECTRAL SENSOR.pptURBAN AREA PRODUCT SIMULATION FOR THE ENMAP HYPERSPECTRAL SENSOR.ppt
URBAN AREA PRODUCT SIMULATION FOR THE ENMAP HYPERSPECTRAL SENSOR.ppt
 
Remote sensing - Scanners
Remote sensing - ScannersRemote sensing - Scanners
Remote sensing - Scanners
 
Big Data, Big Computing, AI, and Environmental Science
Big Data, Big Computing, AI, and Environmental ScienceBig Data, Big Computing, AI, and Environmental Science
Big Data, Big Computing, AI, and Environmental Science
 
Digital Elevation Models
Digital Elevation ModelsDigital Elevation Models
Digital Elevation Models
 
IRSP6
IRSP6IRSP6
IRSP6
 
The use of spectral libraries to reduce the influence of soil moisture on the...
The use of spectral libraries to reduce the influence of soil moisture on the...The use of spectral libraries to reduce the influence of soil moisture on the...
The use of spectral libraries to reduce the influence of soil moisture on the...
 
AstroCV: A computer vision library for Astronomy
AstroCV: A computer vision library for AstronomyAstroCV: A computer vision library for Astronomy
AstroCV: A computer vision library for Astronomy
 
WE4.L10.5: ADVANCES IN NIGHTTIME SATELLITE REMOTE SENSING CAPABILITIES VIA TH...
WE4.L10.5: ADVANCES IN NIGHTTIME SATELLITE REMOTE SENSING CAPABILITIES VIA TH...WE4.L10.5: ADVANCES IN NIGHTTIME SATELLITE REMOTE SENSING CAPABILITIES VIA TH...
WE4.L10.5: ADVANCES IN NIGHTTIME SATELLITE REMOTE SENSING CAPABILITIES VIA TH...
 
SIXTEEN CHANNEL, NON-SCANNING AIRBORNE LIDAR SURFACE TOPOGRAPHY (LIST) SIMULATOR
SIXTEEN CHANNEL, NON-SCANNING AIRBORNE LIDAR SURFACE TOPOGRAPHY (LIST) SIMULATORSIXTEEN CHANNEL, NON-SCANNING AIRBORNE LIDAR SURFACE TOPOGRAPHY (LIST) SIMULATOR
SIXTEEN CHANNEL, NON-SCANNING AIRBORNE LIDAR SURFACE TOPOGRAPHY (LIST) SIMULATOR
 

More from CCAFS | CGIAR Research Program on Climate Change, Agriculture and Food Security

More from CCAFS | CGIAR Research Program on Climate Change, Agriculture and Food Security (20)

CGIAR-AICCRA Knowledge Management Guide (2021)
CGIAR-AICCRA Knowledge Management Guide (2021)CGIAR-AICCRA Knowledge Management Guide (2021)
CGIAR-AICCRA Knowledge Management Guide (2021)
 
Achieving NDC Ambition in Agriculture: How much does agriculture contribute t...
Achieving NDC Ambition in Agriculture: How much does agriculture contribute t...Achieving NDC Ambition in Agriculture: How much does agriculture contribute t...
Achieving NDC Ambition in Agriculture: How much does agriculture contribute t...
 
Achieving NDC Ambition in Agriculture: Mitigation ambition in new & updated N...
Achieving NDC Ambition in Agriculture: Mitigation ambition in new & updated N...Achieving NDC Ambition in Agriculture: Mitigation ambition in new & updated N...
Achieving NDC Ambition in Agriculture: Mitigation ambition in new & updated N...
 
Achieving NDC Ambition in Agriculture: Overview of NDC ambition in the agricu...
Achieving NDC Ambition in Agriculture: Overview of NDC ambition in the agricu...Achieving NDC Ambition in Agriculture: Overview of NDC ambition in the agricu...
Achieving NDC Ambition in Agriculture: Overview of NDC ambition in the agricu...
 
CCAFS and GRA Resources for CLIFF-GRADS 2021
CCAFS and GRA Resources for CLIFF-GRADS 2021CCAFS and GRA Resources for CLIFF-GRADS 2021
CCAFS and GRA Resources for CLIFF-GRADS 2021
 
CSA Monitoring: Understanding adoption, synergies and tradeoffs at farm and h...
CSA Monitoring: Understanding adoption, synergies and tradeoffs at farm and h...CSA Monitoring: Understanding adoption, synergies and tradeoffs at farm and h...
CSA Monitoring: Understanding adoption, synergies and tradeoffs at farm and h...
 
Livestock and sustainability in changing climate: Impacts and global best pra...
Livestock and sustainability in changing climate: Impacts and global best pra...Livestock and sustainability in changing climate: Impacts and global best pra...
Livestock and sustainability in changing climate: Impacts and global best pra...
 
Plant-based protein market in Asia
Plant-based protein market in AsiaPlant-based protein market in Asia
Plant-based protein market in Asia
 
ADB ESLAP case study outputs and synthesis results: Sustainable livestock gui...
ADB ESLAP case study outputs and synthesis results: Sustainable livestock gui...ADB ESLAP case study outputs and synthesis results: Sustainable livestock gui...
ADB ESLAP case study outputs and synthesis results: Sustainable livestock gui...
 
ADB ESLAP Case Study "Dairy value chain in Indonesia"
ADB ESLAP Case Study "Dairy value chain in Indonesia"ADB ESLAP Case Study "Dairy value chain in Indonesia"
ADB ESLAP Case Study "Dairy value chain in Indonesia"
 
Assessment of the environmental sustainability of plant-based meat and pork: ...
Assessment of the environmental sustainability of plant-based meat and pork: ...Assessment of the environmental sustainability of plant-based meat and pork: ...
Assessment of the environmental sustainability of plant-based meat and pork: ...
 
Case study on dairy value chain in China
Case study on dairy value chain in ChinaCase study on dairy value chain in China
Case study on dairy value chain in China
 
Global sustainable livestock investment overview
Global sustainable livestock investment overviewGlobal sustainable livestock investment overview
Global sustainable livestock investment overview
 
The impact of mechanization in smallholder rice production in Nigeria
The impact of mechanization in smallholder rice production in NigeriaThe impact of mechanization in smallholder rice production in Nigeria
The impact of mechanization in smallholder rice production in Nigeria
 
Biodiversity in agriculture for people and planet
Biodiversity in agriculture for people and planetBiodiversity in agriculture for people and planet
Biodiversity in agriculture for people and planet
 
Greenhouse gas (GHG) emissions & priority action in climate mitigation in the...
Greenhouse gas (GHG) emissions & priority action in climate mitigation in the...Greenhouse gas (GHG) emissions & priority action in climate mitigation in the...
Greenhouse gas (GHG) emissions & priority action in climate mitigation in the...
 
Evaluation of Rwanda climate services for agriculture through a gender lens
Evaluation of Rwanda climate services for agriculture through a gender lensEvaluation of Rwanda climate services for agriculture through a gender lens
Evaluation of Rwanda climate services for agriculture through a gender lens
 
Introduction to Climate-Smart Agriculture: Busia County, Kenya
Introduction to Climate-Smart Agriculture: Busia County, KenyaIntroduction to Climate-Smart Agriculture: Busia County, Kenya
Introduction to Climate-Smart Agriculture: Busia County, Kenya
 
Delivering information for national low-emission development strategies: acti...
Delivering information for national low-emission development strategies: acti...Delivering information for national low-emission development strategies: acti...
Delivering information for national low-emission development strategies: acti...
 
Delivering information for national low-emission development strategies: acti...
Delivering information for national low-emission development strategies: acti...Delivering information for national low-emission development strategies: acti...
Delivering information for national low-emission development strategies: acti...
 

Recently uploaded

Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlFuture Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Peter Udo Diehl
 

Recently uploaded (20)

Introduction to Open Source RAG and RAG Evaluation
Introduction to Open Source RAG and RAG EvaluationIntroduction to Open Source RAG and RAG Evaluation
Introduction to Open Source RAG and RAG Evaluation
 
Free and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
Free and Effective: Making Flows Publicly Accessible, Yumi IbrahimzadeFree and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
Free and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
 
Powerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara LaskowskaPowerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara Laskowska
 
Buy Epson EcoTank L3210 Colour Printer Online.pdf
Buy Epson EcoTank L3210 Colour Printer Online.pdfBuy Epson EcoTank L3210 Colour Printer Online.pdf
Buy Epson EcoTank L3210 Colour Printer Online.pdf
 
Demystifying gRPC in .Net by John Staveley
Demystifying gRPC in .Net by John StaveleyDemystifying gRPC in .Net by John Staveley
Demystifying gRPC in .Net by John Staveley
 
Syngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdfSyngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdf
 
Simplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdf
Simplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdfSimplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdf
Simplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdf
 
10 Differences between Sales Cloud and CPQ, Blanka Doktorová
10 Differences between Sales Cloud and CPQ, Blanka Doktorová10 Differences between Sales Cloud and CPQ, Blanka Doktorová
10 Differences between Sales Cloud and CPQ, Blanka Doktorová
 
PLAI - Acceleration Program for Generative A.I. Startups
PLAI - Acceleration Program for Generative A.I. StartupsPLAI - Acceleration Program for Generative A.I. Startups
PLAI - Acceleration Program for Generative A.I. Startups
 
Buy Epson EcoTank L3210 Colour Printer Online.pptx
Buy Epson EcoTank L3210 Colour Printer Online.pptxBuy Epson EcoTank L3210 Colour Printer Online.pptx
Buy Epson EcoTank L3210 Colour Printer Online.pptx
 
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfLinux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
 
The Metaverse: Are We There Yet?
The  Metaverse:    Are   We  There  Yet?The  Metaverse:    Are   We  There  Yet?
The Metaverse: Are We There Yet?
 
What's New in Teams Calling, Meetings and Devices April 2024
What's New in Teams Calling, Meetings and Devices April 2024What's New in Teams Calling, Meetings and Devices April 2024
What's New in Teams Calling, Meetings and Devices April 2024
 
Intro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджераIntro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджера
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
 
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlFuture Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
 
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
 
Designing for Hardware Accessibility at Comcast
Designing for Hardware Accessibility at ComcastDesigning for Hardware Accessibility at Comcast
Designing for Hardware Accessibility at Comcast
 
A Business-Centric Approach to Design System Strategy
A Business-Centric Approach to Design System StrategyA Business-Centric Approach to Design System Strategy
A Business-Centric Approach to Design System Strategy
 
AI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří KarpíšekAI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří Karpíšek
 

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

Editor's Notes

  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