1. MRV & Reporting Status & Related Space Data Needs Kenya SDCG-7 Sydney, Australia March 4 th – 6 th 2015

2. Institutional background The System for Land-based Emissions Estimation for Kenya (SLEEK) aims at providing time series information on emissions associated with land use activities in Kenya for national planning and international reporting. Based on sources of emissions (i.e. Forests, Cropland, grasslands, soils and associated land use changes) technical working groups have been formed to provide information on emission factors The state Department of environment in the Ministry of Environment, Water and Irrigation spearheads this programme supported by the Clinton Climate Initiative and the Government of Australia MGD Session Sydney, Australia March 4 th – 6 th 2015

3. How will SLEEK support Kenya domestically? Support implementation of the Constitution, Vision 2030, NCCRS and Action Plan, Land Policy, Forest Policy and State of Environment reporting. Develop a National Forest Monitoring System Support informed decision making for Sustainable development and Sustainable land use

4. How will SLEEK support Kenya Internationally? Allow Kenya to meet international treaty obligations such as UNFCCC Support Kenya’s position in the international climate change negotiations Predict future GHG emissions and removals Provide the capacity for credible Reference Emission Level Contribution to global climate change goals Enable access to International carbon finance

5. What is the roadmap to deliver SLEEK? Year 1: Design of the program; setting up the implementation and management structures, capacity building & assessment of knowledge/capacity. Year 2: Development of the technical designs & model selection, field work to populate models and the initial system development. Year 3: Completion of field work, concerted system development, quality assurance & testing.

6. How will SLEEK integrate data?

7. Seven Elements of SLEEK SLEEK is being delivered through seven Element Working Groups that will bring institutions together to collaborate: Climate Parameters and Trends Crop Growth and Plant Parameters Forest Biomass Stock and Growth Increment Land Cover Change Land Use Change and Management Soil Carbon System Integration and Modelling

8. Key institutions involved Department of Resource Survey & Remote Sensing Kenya Meteorological Service Kenya Agricultural Research Institute Kenya Forest Service Kenyatta University Jomo Kenyatta University of Agriculture and Technology University of Nairobi National Environment Management Agency National Museums of Kenya Regional Centre For Mapping Resource For Development

9. Relevant History of NFMS The Kenya Forests Master plan of 1994 is the earliest document that proposed a national forest monitoring programme Since then forest monitoring has been done in piece meal de to costs associated E.g. 1.Kenya Indigenous forest conservation (KIFCON) supported by ODA 1990 – 1994 2.NRM programme inventorying all Plantation forests in 2009 – 2012 and supported by World Bank 3.Kenya Forest Preservation Programme supported by Japan in 2012 and piloting biomass in Mau forest 4.Increasing Capacity in Forest Resource Assessment (Ongoing) supported by Finland and developing and national forest inventory programme 5.Mapping Kenya's Forest lands 1990, 2000, 2005 and 2010 supported by Japan and world bank. Classified forestlands by canopy classes into open, moderately open and closed SDCG-7 Sydney, Australia March 4 th – 6 th 2015 9

10. Proposed Stratification System Based on carbon dynamics e.g. 1. Forestlands 1 st level – Natural, Plantation bamboo by Remote sensing 2 nd level by canopy closure by Remote sensing 3 rd level by climate and altitude (Coastal dryland, montane and western rain forests) uses ancillary data 4 th level – Species, age, associations – by ancillary data 2. Grasslands -Wooded grasslands and open grasslands 3. Croplands – Annual herbaceous, agroforestry, perennial shrubs SDCG-7 Sydney, Australia March 4 th – 6 th 2015 10

11. Status of land cover mapping State of knowledge and identification of relevant stakeholders Completion of the process manual Land cover mapping – 2014 and 2010 (March – June 2015) – 2013, 2012, 2011, 2015 (July – December 2015) – 1990 – 2009 (January – June 2016) SDCG-7 Sydney, Australia March 4 th – 6 th 2015 11

12. Space Data Needs – Wall-wall imagery required for the period 2000-2014 or since 1990? – Preference for Landsat data due to cost, availability on time series and its moderate resolution that allows categorization of our features of interest. Landsat will be used for land cover mapping and change detection – High resolution imagery (e.g. SPOT) will be used to clarify training sites – Images of the dry season and with less clouds have been proposed i.e. January – March – We wish to use a semi automated system of land cover mapping using signatures of known sites SDCG-7 Sydney, Australia March 4 th – 6 th 2015

13. Required space data types Though we are developing a manual that highlights all stages of data processing, we request pre-processed images – Level 1T. GFOI support so far a)We have received Landsat imagery for 2013 and 2014 b)We have download some data from USGS website to test speed and practicality based on our internet conditions c)We have been introduced to the COVE tool to help us identify which images may be helpful d)We have been provided with updated summaries of images available to help us decide our options SDCG-7 Sydney, Australia March 4 th – 6 th 2015 13

14. Images provided SDCG-7 Sydney, Australia March 4 th – 6 th 2015 14 2013 2014

15. Image downloads Landsat 8 for 2014 SDCG-7 Sydney, Australia March 4 th – 6 th 2015 15

16. Current challenges & obstacles where GFOI assistance may be most valuable Provision of time series pre-processed images (Annual Landsat LT1 pre processed for 1990 -2015) Provision of high resolution imagery to aid us in ground confirmation and reduce a lot of ground truthing field work (for hotspots) Training in land cover classification, change detection and uncertainty analysis Training on more efficient ground data collection methods SDCG-7 Sydney, Australia March 4 th – 6 th 2015 16