Projecting Future Unplanned Deforestation for a REDD Feasibility ...

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Challenges • Land use and land cover analysis in data poor areas o o o Difficult to find good satellite images – cloud and error free Lack of good ground truth data – many places are hard to reach on foot Lack of in country capacity to perform analysis • Models of land cover change o o o Non-stationarity of variables through time Error assessments are challenging • Don’t care about pixel-to-pixel accuracy, just need right amount of defor predicted in each carbon strata Methods are difficult to learn and take a lot of time • Hard to build capacity for this work
Conclusions • Significant amount of projected deforestation and emissions • REDD+ can be useful mechanism for raising conservation funds • Methodologically o o Land cover change analysis relatively straightforward Modeling can be difficult and needs to be revisited as project moves forward
Page 1 and 2: Projecting Future Unplanned Defores
Page 3 and 4: • 73 Land/Sea Scapes • 43 Count
Page 5 and 6: WCS and REDD+ Worldwide WCS REDD In
Page 7 and 8: REDD+ Pilot Initiatives and Project
Page 9 and 10: Takamanda Mone Context Land cover a
Page 11 and 12: Takamanda Mone Context Communities
Page 13 and 14: Takamanda Mone Context Drivers of D
Page 15 and 16: REDD Project Parameters
Page 17 and 18: Project Geography
Page 19 and 20: REDD Project Parameters Carbon Pool
Page 21 and 22: Baseline Scenario
Page 23 and 24: Past Land Cover Analysis Land Cover
Page 25 and 26: Baseline Scenario Analysis of Histo
Page 27 and 28: Baseline Scenario Analysis of Histo
Page 29 and 30: Baseline Scenario Location of Unpla
Page 31 and 32: 2 Model Validation Model Of Change
Page 33: Baseline Scenario Annual Areas of U

Projecting Future Unplanned Deforestation for a REDD Feasibility ...

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