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

MRV & Reporting Status& Related Space Data Needs

Kenya

SDCG-7Sydney, Australia

March 4th – 6th 2015

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 SessionSydney, Australia


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

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

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.

How will SLEEK integrate data?

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

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

Relevant History of NFMS The Kenya Forests Master plan of 1994 is the earliest document that proposed a national forest monitoring programmeSince 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 – 19942.NRM programme inventorying all Plantation forests in 2009 – 2012 and supported by World Bank3.Kenya Forest Preservation Programme supported by Japan in 2012 and piloting biomass in Mau forest4.Increasing Capacity in Forest Resource Assessment (Ongoing) supported by Finland and developing and national forest inventory programme5.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



Proposed Stratification System

• Based on carbon dynamics e.g.

1. Forestlands • 1st level – Natural, Plantation bamboo by Remote sensing• 2nd level by canopy closure by Remote sensing• 3rd level by climate and altitude (Coastal dryland, montane

and western rain forests) uses ancillary data• 4th level – Species, age, associations – by ancillary data

2. Grasslands -Wooded grasslands and open grasslands3. Croplands – Annual herbaceous, agroforestry,

perennial shrubs



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)



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



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 fara) We have received Landsat imagery for 2013 and 2014b) We have download some data from USGS website to test speed

and practicality based on our internet conditionsc) We have been introduced to the COVE tool to help us identify

which images may be helpfuld) We have been provided with updated summaries of images

available to help us decide our options



Images provided



2013 2014

Image downloads Landsat 8 for 2014



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



Documents

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