SlideShare a Scribd company logo
1 of 75
Build and Delivery Elements
Build and Delivery: Requirements

 Build and Deliver an End-to-end Prototype

     Provides an Integrated Carbon Information System

     Creates technical measurement and monitoring capabilities to assess
      carbon benefits of GEF and other program (future) carbon impact
      and benefits

     Enables technical measurement and monitoring capabilities to
      promote Best Practices and positive socio-economic outcomes

     Supports technical measurement and monitoring capabilities to
      enable policy and institutional context analysis
Build and Delivery: Requirements

 System will have certain functional attributes:
      Measure actual carbon stocks, calculate sequestered carbon
       at any given moment during project implementation.
      Forecast feasible carbon targets for GEF projects.
      Recommend policy/institutional changes to maximize carbon
       benefits or minimize trade-offs.
      Support capacity development components of GEF and non-
       GEF projects for subsequent country and community use.
Build and Delivery: Outputs

 Provides project design options to optimize carbon
 stock increases with livelihood benefits

 Provides capabilities to asses carbon characteristics
 and carbon benefits of GEF projects

 Provides access to agroforestry information for
 creating integrated sustainable agriculture systems

 Optimizes multiple benefits within a smallholder
 carbon project
Build and Delivery: Design

 Constructed on a previous approach called the
 Carbon PMMP:
    Protocols (P) that provide both tools and guidance for
     measurement and monitoring of carbon in agricultural, agro-
     forestry, and forest landscapes
    Measurement (M) that provide both above and below
     ground measurements of carbon on the landscape, considers
     all IPCC pools and is robust and statistically accurate suitable
     for project and program evaluation of carbon benefits
    Monitoring (M) that allows for continuous measurements
     over time for on going evaluation of progress in program
     carbon benefits
    Participatory (P) involvement of user communities with
     the GEF, UNEP and rural communities and their land
     managers.
Build and Delivery: Components

        Integration of a suite of measurement and
         monitoring methods and technologies:
    1.    Ground based sample frame collection of in-situ
          measurements of above ground, belowground and soil carbon
          and nitrogen
    2.    Laboratory analysis of in situ samples
    3.    Ground-calibrated remote sensing observations of land use
          and cover, vegetation attributes and structure
    4.    Statistical analytical and spatial analysis of stratified samples
          and continuous fields
    5.    Numerical models
    6.    Local and program wide social/economic impact tools and
          best practice tools
Build and Deliver

 Aim: to apply emerging technologies to measure and
 monitor land use changes to provide accurate
 environmental and carbon risk information.



  Technology Convergence        APPLIED TO:    Global Environmental
                                                      Services
   (Earth observation (EO)
  systems, Global Positioning                 (Climate change, carbon
     Systems, web-enabled                     benefits, natural resource
    Geographic Information                    management, biodiversity)
    Systems, location-based
    services, large mass data
            storage)
eastern
western




                    Fort Tenan
Eastern Sites
Western Sites
Fort Tenan Sites
Remote Sensing
Key Elements of Measurement

 Ground measurements provide calibration and detailed
    sample frame analysis
   Remote sensing takes the ground samples to extrapolate
    spatially to the landscape
   Remote sensing characterizes spatial heterogeneity and land
    use
   Spectral analysis provides rapid soil carbon measurement
   GIS provides the data base framework for organizing spatial
    data
   Carbon and nitrogen models provide ex ante calculations
    and detailed accounting
   Web-enabled geospatial information systems to provide
    local and global access
The Technology Suite


       Integrates all of these essential
       components through key
       components
       •Ground measurement and calibration
       •Site characterization and planning
       •Carbon and Nitrogen accounting & modeling
       •Access to web based spatial information
Carbon planner example

The Carbon Planner identifies high potential and high risk land use
  areas for land use carbon project. This tool is aimed at project
  developers

Geospatially related           Geospatial Mapping                Carbon Planner – Carbon Risk / Opportunity Map
    databases



    Biomass &
    Soil Carbon
                                                     Carbon Risk &
                                                      Opportunity
                                                       Analysis
     Rainfall &
    Drought Risk




    Fire / Disease
         Risk


                          Criteria for         Cadastral /
                       Project eligibility   Ownership Data
Ground calibration is essential



Our methods and
technologies provide the
basis for accounting and
reporting carbon for projects
at the local scale.
Carbon Accounting Manager




        Core System
Linking remote sensing to C and N
      models and databases
Ground
                                              measures



                                             Local
TRFIC Technologies                           communities
                       Remote measures
Carbon2Markets tools




                                         WWW


  Satellite – ground
  integration                             GEF (markets)
                       Analysis
Remote sensing monitors for permanence and
          tracking carbon in biomass




     Plantation plot

      New trees




Mature tress




 Natural forest
5. Carbon and
  Nitrogen Portal
C/N Portal
centralizes project
information
 and allows
users to access and
manage their carbon
accounts from
anywhere.
A Globally Distributed System
Monitoring multiple communities at one time
Carbon Measurement
Multi-resolution zoom capability
Integration of in situ carbon and nitrogen
   with imagery


     Plantation plot
      samples

      New trees




Mature tress
In Situ: GPS, Digital Photos, Forest Mensuration (DBH, height)
Carbon Accounting

Satellite Image        Biomass-Carbon Calculation




                                                 50-60%
                                           80%




                                                    100%

                         60-80%
Biophysical measurements




Forest density and type
mapping in Thailand
Leaf Area Index can be used as an
                           Input to NPP-Carbon models


                       L AI v s . F C (in G L A2 .0 )

        4
      3 .5
        3
      2 .5
LAI




        2
                                                        LA I-4 vs . F C (% )
      1 .5
                                                        LA I-5 vs . F C
        1
      0 .5
        0
             0   20       40           60          80   100

                      F ra c tio n a l C o v e r
Hyper-rez tree crown detection
MODIS VCF collection 3
Component 3: 30m VCF
             500m




                               VCF           30m VCF




                                     merge


Mask water   isocluster




                          30m VCF stdev
ETM+ radiometric correction (4,3,2)
Tasseled Cap Transformation
     (bright,green,wet)
VCF 500m
ETM+ isocluster
VCF 30m
Detailed View ETM+
       (4,3,2)
Detailed view VCF
       30m
Component 4: Change Detection
    30m VCF        F/NF map                          Tasseled Cap
                                       NF mask
                   >30% = Forest



                                                 +



Tasseled cap
ETM+
                              Bright
(forested
masked)                                             TM-ETM
                                                    Change
Tasseled cap                                     (deforestation)
TM
(forested
masked)                       Dark
                                           ∆≥X
Detailed View

ETM+                              TM




Acquired august 12, 2001          Acquired July 7, 1992
Forest/Non-forest mask derived from VCF 500m




   VCF 500m                Forest/Non-forest mask
Change deforestation shown in red
High resolution satellite monitoring of projects




New plantings




Older trees
Applying Remote Sensing to Land Use
                          Change


    Forest


    Burning




    Slashed


Agriculture,
grass


Agriculture,
bare soil
Land Cover Change: Inter-annual


Shifting Cultivation Transitions in Laos 2000-2001-2002


                                         Land cover   Area (ha)

                                         V-V-V        25666.02

                                         V-V-NV       2579.49

                                         NV-NV-V      3409.47

                                         NV-NV-NV     1189.17

                                         NV-V-V       2788.38

                                         NV-V-NV      603

                                         V-NV-V       2897.01

                                         NV-NV-NV     1772.28
Region east of Kingaroy, north of Nanango
Zoom in at high resolution
Region east of Kingaroy, north of
Nanango. Small blue dots are
waypopints. White is non forest/trees.
Carbon sequestration range: 4-8 tCO2e
per ha per yr (light to dark)
TRFIC Earth
User Defined Upload

GeoSearch, GeoZoom   Upload Polygons   GeoAnalyst, GeoBundle
Adaptable Interoperable Architecture

More Related Content

What's hot

Roadmap to 2nd FREL
Roadmap to 2nd FRELRoadmap to 2nd FREL
Roadmap to 2nd FRELCIFOR-ICRAF
 
Kick-Off Meeting - WP4
Kick-Off Meeting - WP4Kick-Off Meeting - WP4
Kick-Off Meeting - WP4SLOPE Project
 
WE2.TO9.1.pdf
WE2.TO9.1.pdfWE2.TO9.1.pdf
WE2.TO9.1.pdfgrssieee
 
13.s. smith sharing of results
13.s. smith sharing of results13.s. smith sharing of results
13.s. smith sharing of resultsBill Bly
 
2/10/10 - Kent State Intergovernmental Collaboration Forum - Stark County Sto...
2/10/10 - Kent State Intergovernmental Collaboration Forum - Stark County Sto...2/10/10 - Kent State Intergovernmental Collaboration Forum - Stark County Sto...
2/10/10 - Kent State Intergovernmental Collaboration Forum - Stark County Sto...EfficientGovNow
 
FDRS Development for Land and Forest Fire Prevention and Mitigation
FDRS Development for Land and Forest Fire Prevention and MitigationFDRS Development for Land and Forest Fire Prevention and Mitigation
FDRS Development for Land and Forest Fire Prevention and MitigationGlobalEnvironmentCentre
 
NESC - Final N-ETS Presentation May 2012 Kelly Release
NESC - Final N-ETS Presentation   May 2012 Kelly ReleaseNESC - Final N-ETS Presentation   May 2012 Kelly Release
NESC - Final N-ETS Presentation May 2012 Kelly ReleaseJAKIRL
 
FREL Uncertainties Estimates
FREL Uncertainties EstimatesFREL Uncertainties Estimates
FREL Uncertainties EstimatesCIFOR-ICRAF
 
Available Software Tools for Land Use GHG Inventories and Project Carbon Bala...
Available Software Tools for Land Use GHG Inventories and Project Carbon Bala...Available Software Tools for Land Use GHG Inventories and Project Carbon Bala...
Available Software Tools for Land Use GHG Inventories and Project Carbon Bala...World Agroforestry (ICRAF)
 

What's hot (12)

Roadmap to 2nd FREL
Roadmap to 2nd FRELRoadmap to 2nd FREL
Roadmap to 2nd FREL
 
Overview of TCM Mongstad
Overview of TCM MongstadOverview of TCM Mongstad
Overview of TCM Mongstad
 
Kick-Off Meeting - WP4
Kick-Off Meeting - WP4Kick-Off Meeting - WP4
Kick-Off Meeting - WP4
 
WE2.TO9.1.pdf
WE2.TO9.1.pdfWE2.TO9.1.pdf
WE2.TO9.1.pdf
 
13.s. smith sharing of results
13.s. smith sharing of results13.s. smith sharing of results
13.s. smith sharing of results
 
2/10/10 - Kent State Intergovernmental Collaboration Forum - Stark County Sto...
2/10/10 - Kent State Intergovernmental Collaboration Forum - Stark County Sto...2/10/10 - Kent State Intergovernmental Collaboration Forum - Stark County Sto...
2/10/10 - Kent State Intergovernmental Collaboration Forum - Stark County Sto...
 
WP 2.3.2 Forest Demonstrator
WP 2.3.2 Forest DemonstratorWP 2.3.2 Forest Demonstrator
WP 2.3.2 Forest Demonstrator
 
FDRS Development for Land and Forest Fire Prevention and Mitigation
FDRS Development for Land and Forest Fire Prevention and MitigationFDRS Development for Land and Forest Fire Prevention and Mitigation
FDRS Development for Land and Forest Fire Prevention and Mitigation
 
Techno-economic assessment and global sensitivity analysis for biomass-based ...
Techno-economic assessment and global sensitivity analysis for biomass-based ...Techno-economic assessment and global sensitivity analysis for biomass-based ...
Techno-economic assessment and global sensitivity analysis for biomass-based ...
 
NESC - Final N-ETS Presentation May 2012 Kelly Release
NESC - Final N-ETS Presentation   May 2012 Kelly ReleaseNESC - Final N-ETS Presentation   May 2012 Kelly Release
NESC - Final N-ETS Presentation May 2012 Kelly Release
 
FREL Uncertainties Estimates
FREL Uncertainties EstimatesFREL Uncertainties Estimates
FREL Uncertainties Estimates
 
Available Software Tools for Land Use GHG Inventories and Project Carbon Bala...
Available Software Tools for Land Use GHG Inventories and Project Carbon Bala...Available Software Tools for Land Use GHG Inventories and Project Carbon Bala...
Available Software Tools for Land Use GHG Inventories and Project Carbon Bala...
 

Viewers also liked

40 Jeff Ehlers Tli Objective2 Phase Ii Work Plan
40 Jeff Ehlers Tli Objective2 Phase Ii Work Plan40 Jeff Ehlers Tli Objective2 Phase Ii Work Plan
40 Jeff Ehlers Tli Objective2 Phase Ii Work PlanWorld Agroforestry (ICRAF)
 
Steve Burgess Seminar Presentation 22nd September
Steve Burgess Seminar Presentation 22nd SeptemberSteve Burgess Seminar Presentation 22nd September
Steve Burgess Seminar Presentation 22nd SeptemberWorld Agroforestry (ICRAF)
 
Presentation on drivers of landcover and landuse change in Kenya
Presentation on drivers of landcover and landuse change in KenyaPresentation on drivers of landcover and landuse change in Kenya
Presentation on drivers of landcover and landuse change in KenyaWorld Agroforestry (ICRAF)
 
CleanStar Mozambique: A commercial case study of sustainable food and biofuel...
CleanStar Mozambique: A commercial case study of sustainable food and biofuel...CleanStar Mozambique: A commercial case study of sustainable food and biofuel...
CleanStar Mozambique: A commercial case study of sustainable food and biofuel...World Agroforestry (ICRAF)
 
Scherr, Scaling Up Carbon Trading In Land Use 3 09
Scherr, Scaling Up Carbon Trading In Land Use 3 09Scherr, Scaling Up Carbon Trading In Land Use 3 09
Scherr, Scaling Up Carbon Trading In Land Use 3 09World Agroforestry (ICRAF)
 

Viewers also liked (18)

2 Carmendevicente Tli
2 Carmendevicente Tli2 Carmendevicente Tli
2 Carmendevicente Tli
 
40 Jeff Ehlers Tli Objective2 Phase Ii Work Plan
40 Jeff Ehlers Tli Objective2 Phase Ii Work Plan40 Jeff Ehlers Tli Objective2 Phase Ii Work Plan
40 Jeff Ehlers Tli Objective2 Phase Ii Work Plan
 
Steve Burgess Seminar Presentation 22nd September
Steve Burgess Seminar Presentation 22nd SeptemberSteve Burgess Seminar Presentation 22nd September
Steve Burgess Seminar Presentation 22nd September
 
35 Hailu Tefera Objective7 Work Plan
35 Hailu Tefera Objective7 Work Plan35 Hailu Tefera Objective7 Work Plan
35 Hailu Tefera Objective7 Work Plan
 
11 Bekele Shiferaw Objective1 Pigeonpea
11 Bekele Shiferaw Objective1 Pigeonpea11 Bekele Shiferaw Objective1 Pigeonpea
11 Bekele Shiferaw Objective1 Pigeonpea
 
Carbon Benefits Kds V3 07
Carbon Benefits Kds V3 07Carbon Benefits Kds V3 07
Carbon Benefits Kds V3 07
 
Dorisel Icraf Presentation
Dorisel   Icraf PresentationDorisel   Icraf Presentation
Dorisel Icraf Presentation
 
25 louise sperlingobjective8.3commonbean
25 louise sperlingobjective8.3commonbean25 louise sperlingobjective8.3commonbean
25 louise sperlingobjective8.3commonbean
 
Carbon Benefits4
Carbon Benefits4Carbon Benefits4
Carbon Benefits4
 
Presentation on drivers of landcover and landuse change in Kenya
Presentation on drivers of landcover and landuse change in KenyaPresentation on drivers of landcover and landuse change in Kenya
Presentation on drivers of landcover and landuse change in Kenya
 
22b E S Monyo Obj 8
22b  E S Monyo  Obj 822b  E S Monyo  Obj 8
22b E S Monyo Obj 8
 
Skole Carbon Benefits Seminar
Skole Carbon Benefits SeminarSkole Carbon Benefits Seminar
Skole Carbon Benefits Seminar
 
CleanStar Mozambique: A commercial case study of sustainable food and biofuel...
CleanStar Mozambique: A commercial case study of sustainable food and biofuel...CleanStar Mozambique: A commercial case study of sustainable food and biofuel...
CleanStar Mozambique: A commercial case study of sustainable food and biofuel...
 
15a sn nigam_objective2_groundnutindia
15a sn nigam_objective2_groundnutindia15a sn nigam_objective2_groundnutindia
15a sn nigam_objective2_groundnutindia
 
Scherr, Scaling Up Carbon Trading In Land Use 3 09
Scherr, Scaling Up Carbon Trading In Land Use 3 09Scherr, Scaling Up Carbon Trading In Land Use 3 09
Scherr, Scaling Up Carbon Trading In Land Use 3 09
 
Brent Swallow 6th October
Brent Swallow 6th OctoberBrent Swallow 6th October
Brent Swallow 6th October
 
9 Jupiter Ndjeunga Objective1 Groundnut
9 Jupiter Ndjeunga Objective1 Groundnut9 Jupiter Ndjeunga Objective1 Groundnut
9 Jupiter Ndjeunga Objective1 Groundnut
 
Increasing science quality through efficiency
Increasing science quality through efficiencyIncreasing science quality through efficiency
Increasing science quality through efficiency
 

Similar to Carbon Benefits4

Automated change detection in grass gis
Automated change detection in grass gisAutomated change detection in grass gis
Automated change detection in grass gisCOGS Presentations
 
1669_LAND_SURFACE_ALBEDO_AND_DOWNWELLING_SHORTWAVE_RADIATION_FROM_MSG_GEOSTAT...
1669_LAND_SURFACE_ALBEDO_AND_DOWNWELLING_SHORTWAVE_RADIATION_FROM_MSG_GEOSTAT...1669_LAND_SURFACE_ALBEDO_AND_DOWNWELLING_SHORTWAVE_RADIATION_FROM_MSG_GEOSTAT...
1669_LAND_SURFACE_ALBEDO_AND_DOWNWELLING_SHORTWAVE_RADIATION_FROM_MSG_GEOSTAT...grssieee
 
Gfw presentation for wb master class 27march15
Gfw presentation for wb master class 27march15Gfw presentation for wb master class 27march15
Gfw presentation for wb master class 27march15Nancy Harris
 
WaPOR version 3 - H Pelgrum - eLeaf - 05 May 2023.pdf
WaPOR version 3 - H Pelgrum - eLeaf - 05 May 2023.pdfWaPOR version 3 - H Pelgrum - eLeaf - 05 May 2023.pdf
WaPOR version 3 - H Pelgrum - eLeaf - 05 May 2023.pdfWaPOR
 
Eleanor MILNE, Stoecio MALTA "A new tracking tool for carbon benefits"
Eleanor MILNE, Stoecio MALTA "A new tracking tool for carbon benefits"Eleanor MILNE, Stoecio MALTA "A new tracking tool for carbon benefits"
Eleanor MILNE, Stoecio MALTA "A new tracking tool for carbon benefits"Global Risk Forum GRFDavos
 
IRJET- Land Use & Land Cover Change Detection using G.I.S. & Remote Sensing
IRJET-  	  Land Use & Land Cover Change Detection using G.I.S. & Remote SensingIRJET-  	  Land Use & Land Cover Change Detection using G.I.S. & Remote Sensing
IRJET- Land Use & Land Cover Change Detection using G.I.S. & Remote SensingIRJET Journal
 
EcoTas13 BradEvans e-MAST
EcoTas13 BradEvans e-MASTEcoTas13 BradEvans e-MAST
EcoTas13 BradEvans e-MASTTERN Australia
 
IRJET- Geological Boundary Detection for Satellite Images using AI Technique
IRJET- Geological Boundary Detection for Satellite Images using AI TechniqueIRJET- Geological Boundary Detection for Satellite Images using AI Technique
IRJET- Geological Boundary Detection for Satellite Images using AI TechniqueIRJET Journal
 
Advanced weather forecasting for RES applications: Smart4RES developments tow...
Advanced weather forecasting for RES applications: Smart4RES developments tow...Advanced weather forecasting for RES applications: Smart4RES developments tow...
Advanced weather forecasting for RES applications: Smart4RES developments tow...Leonardo ENERGY
 
Zebra - TRIAD-ES Joint Presentation
Zebra - TRIAD-ES Joint PresentationZebra - TRIAD-ES Joint Presentation
Zebra - TRIAD-ES Joint PresentationZEBRA Environmental
 
Using the IAQM guidance on assessing air quality impacts on nature conservati...
Using the IAQM guidance on assessing air quality impacts on nature conservati...Using the IAQM guidance on assessing air quality impacts on nature conservati...
Using the IAQM guidance on assessing air quality impacts on nature conservati...IES / IAQM
 
WE1.L10 - IMPLEMENTATION OF THE LAND, ATMOSPHERE NEAR-REAL-TIME CAPABILITY FO...
WE1.L10 - IMPLEMENTATION OF THE LAND, ATMOSPHERE NEAR-REAL-TIME CAPABILITY FO...WE1.L10 - IMPLEMENTATION OF THE LAND, ATMOSPHERE NEAR-REAL-TIME CAPABILITY FO...
WE1.L10 - IMPLEMENTATION OF THE LAND, ATMOSPHERE NEAR-REAL-TIME CAPABILITY FO...grssieee
 
OverviewofGCOM.pdf
OverviewofGCOM.pdfOverviewofGCOM.pdf
OverviewofGCOM.pdfgrssieee
 
Arturo Sanchez-Azofeifa_Challenges and opportunities in the implementation of...
Arturo Sanchez-Azofeifa_Challenges and opportunities in the implementation of...Arturo Sanchez-Azofeifa_Challenges and opportunities in the implementation of...
Arturo Sanchez-Azofeifa_Challenges and opportunities in the implementation of...TERN Australia
 
IRJET- Soil Water Forecasting System using Deep Neural Network Regression Model
IRJET- Soil Water Forecasting System using Deep Neural Network Regression ModelIRJET- Soil Water Forecasting System using Deep Neural Network Regression Model
IRJET- Soil Water Forecasting System using Deep Neural Network Regression ModelIRJET Journal
 
The GIS for the Solar Projects Development
The GIS for the Solar Projects DevelopmentThe GIS for the Solar Projects Development
The GIS for the Solar Projects DevelopmentEsri
 
''Copernicus for sustainable land management'' by Markus Erhard, European Env...
''Copernicus for sustainable land management'' by Markus Erhard, European Env...''Copernicus for sustainable land management'' by Markus Erhard, European Env...
''Copernicus for sustainable land management'' by Markus Erhard, European Env...The European GNSS Agency (GSA)
 
Remote Monitored Agricultural Vehicle
Remote Monitored Agricultural VehicleRemote Monitored Agricultural Vehicle
Remote Monitored Agricultural VehicleIRJET Journal
 

Similar to Carbon Benefits4 (20)

Automated change detection in grass gis
Automated change detection in grass gisAutomated change detection in grass gis
Automated change detection in grass gis
 
1669_LAND_SURFACE_ALBEDO_AND_DOWNWELLING_SHORTWAVE_RADIATION_FROM_MSG_GEOSTAT...
1669_LAND_SURFACE_ALBEDO_AND_DOWNWELLING_SHORTWAVE_RADIATION_FROM_MSG_GEOSTAT...1669_LAND_SURFACE_ALBEDO_AND_DOWNWELLING_SHORTWAVE_RADIATION_FROM_MSG_GEOSTAT...
1669_LAND_SURFACE_ALBEDO_AND_DOWNWELLING_SHORTWAVE_RADIATION_FROM_MSG_GEOSTAT...
 
Gfw presentation for wb master class 27march15
Gfw presentation for wb master class 27march15Gfw presentation for wb master class 27march15
Gfw presentation for wb master class 27march15
 
WaPOR version 3 - H Pelgrum - eLeaf - 05 May 2023.pdf
WaPOR version 3 - H Pelgrum - eLeaf - 05 May 2023.pdfWaPOR version 3 - H Pelgrum - eLeaf - 05 May 2023.pdf
WaPOR version 3 - H Pelgrum - eLeaf - 05 May 2023.pdf
 
Eleanor MILNE, Stoecio MALTA "A new tracking tool for carbon benefits"
Eleanor MILNE, Stoecio MALTA "A new tracking tool for carbon benefits"Eleanor MILNE, Stoecio MALTA "A new tracking tool for carbon benefits"
Eleanor MILNE, Stoecio MALTA "A new tracking tool for carbon benefits"
 
IRJET- Land Use & Land Cover Change Detection using G.I.S. & Remote Sensing
IRJET-  	  Land Use & Land Cover Change Detection using G.I.S. & Remote SensingIRJET-  	  Land Use & Land Cover Change Detection using G.I.S. & Remote Sensing
IRJET- Land Use & Land Cover Change Detection using G.I.S. & Remote Sensing
 
EcoTas13 BradEvans e-MAST
EcoTas13 BradEvans e-MASTEcoTas13 BradEvans e-MAST
EcoTas13 BradEvans e-MAST
 
IRJET- Geological Boundary Detection for Satellite Images using AI Technique
IRJET- Geological Boundary Detection for Satellite Images using AI TechniqueIRJET- Geological Boundary Detection for Satellite Images using AI Technique
IRJET- Geological Boundary Detection for Satellite Images using AI Technique
 
Advanced weather forecasting for RES applications: Smart4RES developments tow...
Advanced weather forecasting for RES applications: Smart4RES developments tow...Advanced weather forecasting for RES applications: Smart4RES developments tow...
Advanced weather forecasting for RES applications: Smart4RES developments tow...
 
Zebra - TRIAD-ES Joint Presentation
Zebra - TRIAD-ES Joint PresentationZebra - TRIAD-ES Joint Presentation
Zebra - TRIAD-ES Joint Presentation
 
Using the IAQM guidance on assessing air quality impacts on nature conservati...
Using the IAQM guidance on assessing air quality impacts on nature conservati...Using the IAQM guidance on assessing air quality impacts on nature conservati...
Using the IAQM guidance on assessing air quality impacts on nature conservati...
 
WE1.L10 - IMPLEMENTATION OF THE LAND, ATMOSPHERE NEAR-REAL-TIME CAPABILITY FO...
WE1.L10 - IMPLEMENTATION OF THE LAND, ATMOSPHERE NEAR-REAL-TIME CAPABILITY FO...WE1.L10 - IMPLEMENTATION OF THE LAND, ATMOSPHERE NEAR-REAL-TIME CAPABILITY FO...
WE1.L10 - IMPLEMENTATION OF THE LAND, ATMOSPHERE NEAR-REAL-TIME CAPABILITY FO...
 
OverviewofGCOM.pdf
OverviewofGCOM.pdfOverviewofGCOM.pdf
OverviewofGCOM.pdf
 
Arturo Sanchez-Azofeifa_Challenges and opportunities in the implementation of...
Arturo Sanchez-Azofeifa_Challenges and opportunities in the implementation of...Arturo Sanchez-Azofeifa_Challenges and opportunities in the implementation of...
Arturo Sanchez-Azofeifa_Challenges and opportunities in the implementation of...
 
IRJET- Soil Water Forecasting System using Deep Neural Network Regression Model
IRJET- Soil Water Forecasting System using Deep Neural Network Regression ModelIRJET- Soil Water Forecasting System using Deep Neural Network Regression Model
IRJET- Soil Water Forecasting System using Deep Neural Network Regression Model
 
The GIS for the Solar Projects Development
The GIS for the Solar Projects DevelopmentThe GIS for the Solar Projects Development
The GIS for the Solar Projects Development
 
SmartGeo - G. Satta
SmartGeo - G. SattaSmartGeo - G. Satta
SmartGeo - G. Satta
 
''Copernicus for sustainable land management'' by Markus Erhard, European Env...
''Copernicus for sustainable land management'' by Markus Erhard, European Env...''Copernicus for sustainable land management'' by Markus Erhard, European Env...
''Copernicus for sustainable land management'' by Markus Erhard, European Env...
 
Remote Monitored Agricultural Vehicle
Remote Monitored Agricultural VehicleRemote Monitored Agricultural Vehicle
Remote Monitored Agricultural Vehicle
 
Lecture by Prof. Sabino Bufo
Lecture by Prof. Sabino BufoLecture by Prof. Sabino Bufo
Lecture by Prof. Sabino Bufo
 

More from World Agroforestry (ICRAF)

Resilience of rubber based agroforestry facing global change
Resilience of rubber based agroforestry facing global changeResilience of rubber based agroforestry facing global change
Resilience of rubber based agroforestry facing global changeWorld Agroforestry (ICRAF)
 
How can we overcome obstacles and mobilize investments for successful, sustai...
How can we overcome obstacles and mobilize investments for successful, sustai...How can we overcome obstacles and mobilize investments for successful, sustai...
How can we overcome obstacles and mobilize investments for successful, sustai...World Agroforestry (ICRAF)
 
Forest and agroforesty options for building resilience in refugee situations:...
Forest and agroforesty options for building resilience in refugee situations:...Forest and agroforesty options for building resilience in refugee situations:...
Forest and agroforesty options for building resilience in refugee situations:...World Agroforestry (ICRAF)
 
How local application of agroecological principles can transform food systems
How local application of agroecological principles can transform food systemsHow local application of agroecological principles can transform food systems
How local application of agroecological principles can transform food systemsWorld Agroforestry (ICRAF)
 
Agroforestry systems for restoration in Brazil: reconciling social and ecolo...
Agroforestry systems for restoration in Brazil:  reconciling social and ecolo...Agroforestry systems for restoration in Brazil:  reconciling social and ecolo...
Agroforestry systems for restoration in Brazil: reconciling social and ecolo...World Agroforestry (ICRAF)
 
Vulnerabilities of forests and forest dependent people
Vulnerabilities of forests and forest dependent peopleVulnerabilities of forests and forest dependent people
Vulnerabilities of forests and forest dependent peopleWorld Agroforestry (ICRAF)
 
Pests and diseases of trees in Africa: review of a growing emergency
Pests and diseases of trees in Africa: review of a growing emergencyPests and diseases of trees in Africa: review of a growing emergency
Pests and diseases of trees in Africa: review of a growing emergencyWorld Agroforestry (ICRAF)
 
Wall posters on habitat distribution of nine tree species in Ethiopia
Wall posters on habitat distribution of nine tree species in EthiopiaWall posters on habitat distribution of nine tree species in Ethiopia
Wall posters on habitat distribution of nine tree species in EthiopiaWorld Agroforestry (ICRAF)
 
Not all roads lead to Rome: Inclusive business models and responsible finance...
Not all roads lead to Rome: Inclusive business models and responsible finance...Not all roads lead to Rome: Inclusive business models and responsible finance...
Not all roads lead to Rome: Inclusive business models and responsible finance...World Agroforestry (ICRAF)
 
Decent work and economic growth: Potential impacts of SDG 8 on forests and fo...
Decent work and economic growth: Potential impacts of SDG 8 on forests and fo...Decent work and economic growth: Potential impacts of SDG 8 on forests and fo...
Decent work and economic growth: Potential impacts of SDG 8 on forests and fo...World Agroforestry (ICRAF)
 
Forest conservation and socio-economic benefits through community forest conc...
Forest conservation and socio-economic benefits through community forest conc...Forest conservation and socio-economic benefits through community forest conc...
Forest conservation and socio-economic benefits through community forest conc...World Agroforestry (ICRAF)
 
Sustainable land management for improved livelihoods and environmental sustai...
Sustainable land management for improved livelihoods and environmental sustai...Sustainable land management for improved livelihoods and environmental sustai...
Sustainable land management for improved livelihoods and environmental sustai...World Agroforestry (ICRAF)
 
Rangeland Management in Africa Research and case studies
Rangeland Management in Africa Research and case studiesRangeland Management in Africa Research and case studies
Rangeland Management in Africa Research and case studiesWorld Agroforestry (ICRAF)
 
Sustainable transition of shifting cultivation systems for land degradation n...
Sustainable transition of shifting cultivation systems for land degradation n...Sustainable transition of shifting cultivation systems for land degradation n...
Sustainable transition of shifting cultivation systems for land degradation n...World Agroforestry (ICRAF)
 
Understanding farmer behavior and options to improve outcomes
Understanding farmer behavior and options to improve outcomesUnderstanding farmer behavior and options to improve outcomes
Understanding farmer behavior and options to improve outcomesWorld Agroforestry (ICRAF)
 
NRM Innovations for Risk Management and Agricultural Transformation in Semiar...
NRM Innovations for Risk Management and Agricultural Transformation in Semiar...NRM Innovations for Risk Management and Agricultural Transformation in Semiar...
NRM Innovations for Risk Management and Agricultural Transformation in Semiar...World Agroforestry (ICRAF)
 
Combining land restoration and livelihoods - examples from Niger
Combining land restoration and livelihoods - examples from NigerCombining land restoration and livelihoods - examples from Niger
Combining land restoration and livelihoods - examples from NigerWorld Agroforestry (ICRAF)
 

More from World Agroforestry (ICRAF) (20)

Resilience of rubber based agroforestry facing global change
Resilience of rubber based agroforestry facing global changeResilience of rubber based agroforestry facing global change
Resilience of rubber based agroforestry facing global change
 
DryDev Closeout Webinar 30th June 2020
DryDev Closeout Webinar 30th June 2020DryDev Closeout Webinar 30th June 2020
DryDev Closeout Webinar 30th June 2020
 
Farmland Biodiversity
Farmland BiodiversityFarmland Biodiversity
Farmland Biodiversity
 
How can we overcome obstacles and mobilize investments for successful, sustai...
How can we overcome obstacles and mobilize investments for successful, sustai...How can we overcome obstacles and mobilize investments for successful, sustai...
How can we overcome obstacles and mobilize investments for successful, sustai...
 
Forest and agroforesty options for building resilience in refugee situations:...
Forest and agroforesty options for building resilience in refugee situations:...Forest and agroforesty options for building resilience in refugee situations:...
Forest and agroforesty options for building resilience in refugee situations:...
 
How local application of agroecological principles can transform food systems
How local application of agroecological principles can transform food systemsHow local application of agroecological principles can transform food systems
How local application of agroecological principles can transform food systems
 
Agroforestry systems for restoration in Brazil: reconciling social and ecolo...
Agroforestry systems for restoration in Brazil:  reconciling social and ecolo...Agroforestry systems for restoration in Brazil:  reconciling social and ecolo...
Agroforestry systems for restoration in Brazil: reconciling social and ecolo...
 
Vulnerabilities of forests and forest dependent people
Vulnerabilities of forests and forest dependent peopleVulnerabilities of forests and forest dependent people
Vulnerabilities of forests and forest dependent people
 
Pests and diseases of trees in Africa: review of a growing emergency
Pests and diseases of trees in Africa: review of a growing emergencyPests and diseases of trees in Africa: review of a growing emergency
Pests and diseases of trees in Africa: review of a growing emergency
 
Wall posters on habitat distribution of nine tree species in Ethiopia
Wall posters on habitat distribution of nine tree species in EthiopiaWall posters on habitat distribution of nine tree species in Ethiopia
Wall posters on habitat distribution of nine tree species in Ethiopia
 
Not all roads lead to Rome: Inclusive business models and responsible finance...
Not all roads lead to Rome: Inclusive business models and responsible finance...Not all roads lead to Rome: Inclusive business models and responsible finance...
Not all roads lead to Rome: Inclusive business models and responsible finance...
 
Decent work and economic growth: Potential impacts of SDG 8 on forests and fo...
Decent work and economic growth: Potential impacts of SDG 8 on forests and fo...Decent work and economic growth: Potential impacts of SDG 8 on forests and fo...
Decent work and economic growth: Potential impacts of SDG 8 on forests and fo...
 
Forest conservation and socio-economic benefits through community forest conc...
Forest conservation and socio-economic benefits through community forest conc...Forest conservation and socio-economic benefits through community forest conc...
Forest conservation and socio-economic benefits through community forest conc...
 
Sustainable land management for improved livelihoods and environmental sustai...
Sustainable land management for improved livelihoods and environmental sustai...Sustainable land management for improved livelihoods and environmental sustai...
Sustainable land management for improved livelihoods and environmental sustai...
 
Rangeland Management in Africa Research and case studies
Rangeland Management in Africa Research and case studiesRangeland Management in Africa Research and case studies
Rangeland Management in Africa Research and case studies
 
Sustainable transition of shifting cultivation systems for land degradation n...
Sustainable transition of shifting cultivation systems for land degradation n...Sustainable transition of shifting cultivation systems for land degradation n...
Sustainable transition of shifting cultivation systems for land degradation n...
 
Understanding farmer behavior and options to improve outcomes
Understanding farmer behavior and options to improve outcomesUnderstanding farmer behavior and options to improve outcomes
Understanding farmer behavior and options to improve outcomes
 
Scaling watershed development in India
Scaling watershed development in IndiaScaling watershed development in India
Scaling watershed development in India
 
NRM Innovations for Risk Management and Agricultural Transformation in Semiar...
NRM Innovations for Risk Management and Agricultural Transformation in Semiar...NRM Innovations for Risk Management and Agricultural Transformation in Semiar...
NRM Innovations for Risk Management and Agricultural Transformation in Semiar...
 
Combining land restoration and livelihoods - examples from Niger
Combining land restoration and livelihoods - examples from NigerCombining land restoration and livelihoods - examples from Niger
Combining land restoration and livelihoods - examples from Niger
 

Recently uploaded

TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
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
 
"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
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rick Flair
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demoHarshalMandlekar2
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxBkGupta21
 
What is Artificial Intelligence?????????
What is Artificial Intelligence?????????What is Artificial Intelligence?????????
What is Artificial Intelligence?????????blackmambaettijean
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
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
 
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
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 

Recently uploaded (20)

TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
"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
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demo
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptx
 
What is Artificial Intelligence?????????
What is Artificial Intelligence?????????What is Artificial Intelligence?????????
What is Artificial Intelligence?????????
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
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!
 
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)
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 

Carbon Benefits4

  • 2. Build and Delivery: Requirements  Build and Deliver an End-to-end Prototype  Provides an Integrated Carbon Information System  Creates technical measurement and monitoring capabilities to assess carbon benefits of GEF and other program (future) carbon impact and benefits  Enables technical measurement and monitoring capabilities to promote Best Practices and positive socio-economic outcomes  Supports technical measurement and monitoring capabilities to enable policy and institutional context analysis
  • 3. Build and Delivery: Requirements  System will have certain functional attributes:  Measure actual carbon stocks, calculate sequestered carbon at any given moment during project implementation.  Forecast feasible carbon targets for GEF projects.  Recommend policy/institutional changes to maximize carbon benefits or minimize trade-offs.  Support capacity development components of GEF and non- GEF projects for subsequent country and community use.
  • 4. Build and Delivery: Outputs  Provides project design options to optimize carbon stock increases with livelihood benefits  Provides capabilities to asses carbon characteristics and carbon benefits of GEF projects  Provides access to agroforestry information for creating integrated sustainable agriculture systems  Optimizes multiple benefits within a smallholder carbon project
  • 5. Build and Delivery: Design  Constructed on a previous approach called the Carbon PMMP:  Protocols (P) that provide both tools and guidance for measurement and monitoring of carbon in agricultural, agro- forestry, and forest landscapes  Measurement (M) that provide both above and below ground measurements of carbon on the landscape, considers all IPCC pools and is robust and statistically accurate suitable for project and program evaluation of carbon benefits  Monitoring (M) that allows for continuous measurements over time for on going evaluation of progress in program carbon benefits  Participatory (P) involvement of user communities with the GEF, UNEP and rural communities and their land managers.
  • 6. Build and Delivery: Components  Integration of a suite of measurement and monitoring methods and technologies: 1. Ground based sample frame collection of in-situ measurements of above ground, belowground and soil carbon and nitrogen 2. Laboratory analysis of in situ samples 3. Ground-calibrated remote sensing observations of land use and cover, vegetation attributes and structure 4. Statistical analytical and spatial analysis of stratified samples and continuous fields 5. Numerical models 6. Local and program wide social/economic impact tools and best practice tools
  • 7. Build and Deliver  Aim: to apply emerging technologies to measure and monitor land use changes to provide accurate environmental and carbon risk information. Technology Convergence APPLIED TO: Global Environmental Services (Earth observation (EO) systems, Global Positioning (Climate change, carbon Systems, web-enabled benefits, natural resource Geographic Information management, biodiversity) Systems, location-based services, large mass data storage)
  • 8. eastern western Fort Tenan
  • 10.
  • 11.
  • 13.
  • 14.
  • 17. Key Elements of Measurement  Ground measurements provide calibration and detailed sample frame analysis  Remote sensing takes the ground samples to extrapolate spatially to the landscape  Remote sensing characterizes spatial heterogeneity and land use  Spectral analysis provides rapid soil carbon measurement  GIS provides the data base framework for organizing spatial data  Carbon and nitrogen models provide ex ante calculations and detailed accounting  Web-enabled geospatial information systems to provide local and global access
  • 18. The Technology Suite Integrates all of these essential components through key components •Ground measurement and calibration •Site characterization and planning •Carbon and Nitrogen accounting & modeling •Access to web based spatial information
  • 19. Carbon planner example The Carbon Planner identifies high potential and high risk land use areas for land use carbon project. This tool is aimed at project developers Geospatially related Geospatial Mapping Carbon Planner – Carbon Risk / Opportunity Map databases Biomass & Soil Carbon Carbon Risk & Opportunity Analysis Rainfall & Drought Risk Fire / Disease Risk Criteria for Cadastral / Project eligibility Ownership Data
  • 20. Ground calibration is essential Our methods and technologies provide the basis for accounting and reporting carbon for projects at the local scale.
  • 22. Linking remote sensing to C and N models and databases
  • 23. Ground measures Local TRFIC Technologies communities Remote measures Carbon2Markets tools WWW Satellite – ground integration GEF (markets) Analysis
  • 24. Remote sensing monitors for permanence and tracking carbon in biomass Plantation plot New trees Mature tress Natural forest
  • 25. 5. Carbon and Nitrogen Portal C/N Portal centralizes project information and allows users to access and manage their carbon accounts from anywhere.
  • 29.
  • 30.
  • 32. Integration of in situ carbon and nitrogen with imagery Plantation plot samples New trees Mature tress
  • 33. In Situ: GPS, Digital Photos, Forest Mensuration (DBH, height)
  • 34. Carbon Accounting Satellite Image Biomass-Carbon Calculation 50-60% 80% 100% 60-80%
  • 35. Biophysical measurements Forest density and type mapping in Thailand
  • 36. Leaf Area Index can be used as an Input to NPP-Carbon models L AI v s . F C (in G L A2 .0 ) 4 3 .5 3 2 .5 LAI 2 LA I-4 vs . F C (% ) 1 .5 LA I-5 vs . F C 1 0 .5 0 0 20 40 60 80 100 F ra c tio n a l C o v e r
  • 37. Hyper-rez tree crown detection
  • 38.
  • 39.
  • 41. Component 3: 30m VCF 500m VCF 30m VCF merge Mask water isocluster 30m VCF stdev
  • 43. Tasseled Cap Transformation (bright,green,wet)
  • 49. Component 4: Change Detection 30m VCF F/NF map Tasseled Cap NF mask >30% = Forest + Tasseled cap ETM+ Bright (forested masked) TM-ETM Change Tasseled cap (deforestation) TM (forested masked) Dark ∆≥X
  • 50. Detailed View ETM+ TM Acquired august 12, 2001 Acquired July 7, 1992
  • 51. Forest/Non-forest mask derived from VCF 500m VCF 500m Forest/Non-forest mask
  • 53. High resolution satellite monitoring of projects New plantings Older trees
  • 54. Applying Remote Sensing to Land Use Change Forest Burning Slashed Agriculture, grass Agriculture, bare soil
  • 55. Land Cover Change: Inter-annual Shifting Cultivation Transitions in Laos 2000-2001-2002 Land cover Area (ha) V-V-V 25666.02 V-V-NV 2579.49 NV-NV-V 3409.47 NV-NV-NV 1189.17 NV-V-V 2788.38 NV-V-NV 603 V-NV-V 2897.01 NV-NV-NV 1772.28
  • 56. Region east of Kingaroy, north of Nanango
  • 57. Zoom in at high resolution
  • 58. Region east of Kingaroy, north of Nanango. Small blue dots are waypopints. White is non forest/trees. Carbon sequestration range: 4-8 tCO2e per ha per yr (light to dark)
  • 59.
  • 60.
  • 61.
  • 62.
  • 63.
  • 64.
  • 65.
  • 66.
  • 67.
  • 68.
  • 70.
  • 71.
  • 72.
  • 73.
  • 74. User Defined Upload GeoSearch, GeoZoom Upload Polygons GeoAnalyst, GeoBundle