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

How to calculate NDVI using QGIS
How to calculate NDVI using QGISHow to calculate NDVI using QGIS
How to calculate NDVI using QGISGowtham Gollapalli
 
F:\Work\Gps & Gis\Gps
F:\Work\Gps & Gis\GpsF:\Work\Gps & Gis\Gps
F:\Work\Gps & Gis\Gpsguestf48f25
 
Global Postioning System
Global Postioning SystemGlobal Postioning System
Global Postioning SystemManthan Dhavne
 
Geoscience satellite image processing
Geoscience satellite image processingGeoscience satellite image processing
Geoscience satellite image processinggaurav jain
 
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 sensingDr. Harald Schernthanner
 
Gps Slides Slideshare
Gps Slides SlideshareGps Slides Slideshare
Gps Slides SlideshareMark Lewellen
 
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 Characteristicplan4all
 
New Jersey Land Change Viewer
New Jersey Land Change ViewerNew Jersey Land Change Viewer
New Jersey Land Change ViewerJohn Reiser
 
Change Detection Examples
Change Detection ExamplesChange Detection Examples
Change Detection ExamplesIan Marrs
 
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 surveyingFalcon Geomatics LLC
 

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

11h00 carlos roberto 21 08 botafogo
11h00 carlos roberto 21 08 botafogo11h00 carlos roberto 21 08 botafogo
11h00 carlos roberto 21 08 botafogoslides-mci
 
4 ROMAN_IGARSS'11.ppt
4 ROMAN_IGARSS'11.ppt4 ROMAN_IGARSS'11.ppt
4 ROMAN_IGARSS'11.pptgrssieee
 
Indian remote sensing satellite mission
Indian remote sensing satellite missionIndian remote sensing satellite mission
Indian remote sensing satellite missionadevekar
 
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.pdfJosé Pasapera Gonzales
 
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 applicationsabhijeet_banerjee
 
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.pptgrssieee
 
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.pptgrssieee
 
Remote sensing - Scanners
Remote sensing - ScannersRemote sensing - Scanners
Remote sensing - ScannersPramoda Raj
 
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 ScienceIan Foster
 
Digital Elevation Models
Digital Elevation ModelsDigital Elevation Models
Digital Elevation ModelsBernd Flmla
 
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...FAO
 
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 AstronomyRoberto Muñoz
 
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) SIMULATORgrssieee
 
Platforms of Remote sensing and GIS
Platforms of Remote sensing and GISPlatforms of Remote sensing and GIS
Platforms of Remote sensing and GISMouna Guru
 

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
 
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
 
Platforms of Remote sensing and GIS
Platforms of Remote sensing and GISPlatforms of Remote sensing and GIS
Platforms of Remote sensing and GIS
 

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

Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 

Recently uploaded (20)

DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 

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