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Eco-climatic Condition & Trends on Protected Areas of the IGAD Region

African Monitoring of the Environment for Sustainable Development. Eco-climatic Condition & Trends on Protected Areas of the IGAD Region. Eugene Kayijamahe M. Njoki Kahiu. DevCoCast Training 7 February 2011 – Enchede, The Netherlands. Outline. Objectives & Expected results Methods

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Eco-climatic Condition & Trends on Protected Areas of the IGAD Region

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  1. African Monitoring of the Environment for Sustainable Development Eco-climatic Condition & Trends on Protected Areas of the IGAD Region Eugene Kayijamahe M. Njoki Kahiu DevCoCast Training 7 February 2011 – Enchede, The Netherlands

  2. Outline • Objectives & Expected results • Methods • Study area • Input data • Processing • Overall • Exercises

  3. Objectives • To determine whether there has been changes in vegetation growth in IGAD states using rainfall pattern and vegetation indices • Expected output • Defined seasons • NDVI averages (decadal, seasonal, annual) • Rainfall averages (decadal, seasonal, annual) • Seasonal cumulative rainfall estimates • To assess the intra/inter annual trends for vegetation conditions in IGAD region using low resolution vegetation indices • Expected output • Vegetation growth conditions • Seasonal deviations of NDVI from its average • Biomass productivity • Climate change hotspots in PAs (major reduction in vegetation intensity)

  4. Methods – Study Area • Monitoring the whole of IGAD region. • More emphasis on protected areas >> • Buffer of 25km will be created for the final analysis.

  5. Input data

  6. NDVI NDVI stats (avg, max, std) RFE, DMP, NDWI Cumulate, calculate Calculate RFE_cumm, NDWI, DMP trends NDVI trends and derivates Overlay with PA, derive statistics Eco-climatic for IGAD and all PAs Methods – Overall Processing

  7. Processing: Exercises • The manual contains exercises on: • EXER 1: Pre-Processing • EXER 1.1: Sub-setting NDVI images of Africa to IGAD region extent using administration boundaries of IGAD countries • EXER 1.2: Conversion of byte data to real NDVI values using the formula supplied in the product’s documentation: Real NDVI= raw/250.

  8. Processing: Exercises ctd… • EXER2: Calculating the Annual NDVI Averages from 1996 to 2005 as a Determinant of Forage Trends in IGAD PAs • EXER 2.1: Calculate Average NDVI for Group 1 Countries, Season 1 in 1996-2005. • Exer 2.2 Calculate Average NDVI for All PAs, Season 1 of 1996-2005.

  9. Processing: Exercises ctd… • EXER 3: Calculating Average Rainfall for Season 1 and Aggregating the Values for IGAD PAs as One Explaining Factor for NDVI Trend (2000-2010) Comparisons with other vegetation products

  10. Processing: Exercises ctd… • EXER 4: Computing NGI for IGAD region

  11. Processing: Exercises ctd… • EXER 5: Computing sNDVI for IGAD region

  12. Conclusion • Further analysis and interpretation are needed for conclusive results • Process automation

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