Land Cover Mapping for the Development of Green House Gas (GHG) Inventories in the Eastern and Southern Africa Region

Friday, 19 December 2014
Jaffer Ababu Wakhayanga1, Phoebe Oduor1, Tesfaye Korme1, Hussein Farah1, Ashutosh S Limaye2, Daniel Irwin3 and Gwen Artis2, (1)Regional Centre for Mapping of Resources for Development, Nairobi, Kenya, (2)NASA Marshall Space Flight Center, Huntsville, AL, United States, (3)NASA Marshall Space Flght Ctr, Huntsville, AL, United States
Anthropogenic activities are responsible for the largest share of green house gas (GHG) emissions. Research has shown that greenhouse gases cause radioactive forcing in the stratosphere, leading to ozone depletion. Different land cover types act as sources or sinks of carbon dioxide (CO2), the most dominant GHG.Under the oversight of the United Nations Framework Convention on Climate Change (UNFCCC) the Eastern and Southern Africa (ESA) region countries are developing Sustainable National GHG Inventory Management Systems. While the countries in the ESA region are making substantial progress in setting up GHG inventories, there remains significant constraints in the development of quality and sustainable National GHG Inventory Systems. For instance, there are fundamental challenges in capacity building and technology transfer, which can affect timely and consistent reporting on the land use, land-use change and forestry (LULUCF) component of the GHG inventory development. SERVIR Eastern and Southern Africa is a partnership project between the National Aeronautics and Space Administration (NASA) and the Regional Center for Mapping of Resources for Development (RCMRD), an intergovernmental organization in Africa, with 21 member states in the ESA region. With support from the United States Agency for International Development (USAID), SERVIR ESA is implementing the GHG Project in 9 countries. The main deliverables of the project are land cover maps for the years 2000 and 2010 (also 1990 for Malawi and Rwanda), and related technical reports, as well as technical training in land cover mapping using replicable methodologies. Landsat imagery which is freely available forms the main component of earth observation input data, in addition to ancillary data collected from each country. Supervised classification using maximum likelihood algorithm is applied to the Landsat images. The work is completed for the initial 6 countries (Malawi, Zambia, Rwanda, Tanzania, Botswana, and Namibia) and ongoing in the additional 3 countries (Ethiopia, Kenya and Uganda). Our presentation focuses on the status of the GHG Project, with particular emphasis on the replicable methods adopted, dissemination mechanisms and technology transfer, as well as the database of products delivered to participating countries.