SERVIR Eastern & Southern Africa Science Overview

SERVIR Eastern & Southern Africa Science Overview

Regional Centre for Mapping of Resources for Development (RCMRD)

KENYATTA UNIVERSITY GIS DAY – 18th Nov. 2014

Anastasia Wahome, Shannon Sarbo & Wahu Mbatia (SERVIR – E.&S. Africa)

A Powerful Partnership

– Incredible satellite data

– A mandate to work domestically

NASA has:

USAID has:

– A presence in 100 countries

– Connections to people who need

information

NASA + USAID = the potential for significant impact

in development decision-making

NASA’s Role www.servirglobal.net

NASA backstops hubs by:

– Providing scientific & technical

knowledge

– Training & building technical capacity

– SERVIR global coordination

– Coordinating hub exchanges

– Maintaining website & documents

library

Data-Informed Decision-Making www.servirglobal.net

SERVIR-Eastern & Southern Africa

& its partners work together to:

– Bridge the gap between

data & decision-making

– Strengthen scientific

expertise, knowledge, &

training

– Address critical needs to

promote sustainable

growth

Data-Informed Decision-Making

– Prepare for extreme events

– Improve resilience to climate

change

– Manage water resources

– Increase food security

– Manage land & food resources

SERVIR-Eastern & Southern Africa

& its partners work together to:

Anastasia Wahome, Shannon Sarbo and Wahu Mbatia RCMRD, 2014 SERVIR

Organizational Overview

• Regional Centre for Mapping of Resources for Development (Nairobi, Kenya).

• Inter-governmental organization established in 1975.

• 20 member countries.

• Promotes the application of geo-information towards sustainable development in member countries.

• Research & provision services in surveying, mapping, GIS, remote sensing, calibration and maintenance of surveying and mapping equipment & capacity building.


Frost Forecasting and Mapping

Inputs • MODIS satellite data • Kenya Meteorological Services numerical weather products • Ground stations data & Wireless Sensor Network (WSN)

weather data.

Outputs • Calibrated Frost Mapping and Forecasting System • Training of end users

Outcomes • Improved monitoring of local, field scale conditions to improve agricultural productivity & to predict/mitigate frost damage

• Improved weather (and other) modeling by providing fine spatial resolution data

• Increased capacity in frost monitoring

Impact Improved livelihoods due to improved agricultural productivity.

End Users Kenya Meteorological Services(KMS), Tea Research Foundation of Kenya, and Insurance Companies (AON), farmers in frost prone areas.

Team Web Services and System Developer (task lead: Eric Kabuchanga); Disasters Lead (Denis Macharia), CO Science Applications Lead (Ashutosh Limaye)


Land Potential Knowledge Systems

Inputs • Geospatial Datasets • EPIC/APEX model

Outputs • Processed raster and vector datasets for the LandPKS engine. • Mobile application for soil data collection • A regional training

Outcomes • Improved capacity of end users to predict land productivity and resilience • Improved land use and land management practices • Increased capacity of RCMRD member states to predict land productivity and resilience

through training • Increased crop yields due to proper land use & successful restoration programs in

rangeland

Impact • Improved decision making • Climate change impact due to improve preparedness and planning • Effective governance systems established as govt. ministries use LandPKS to improve

the effectiveness of extension activities

End Users • Agricultural stakeholders from the Ministries of Agriculture such as extension workers • Rangeland managers and farmers

Team Dr. Jeff Herrick, Dr. Josh Beniston, Dr. Adam Beh, Lilian Ndung’u


Mapping sea-grass, mangrove forests & coastal erosion hotspots

Inputs • Landsat 8 images • Data on sea level

Outputs • Digital imagery database, maps and spatial statistics of the current sea grass cover & coastal erosion hotspots in Kenya, Tanzania, Mozambique, and Madagascar

• Visualization tool with additional data layers as well as querying and analytical capabilities

• Training of stakeholders

Outcomes • Enhanced capacity to monitor and manage the coastal and marine ecosystems.

Impact Reduced coastal and marine ecosystems degradation

End Users Governmental and community-based organizations involved in the management of coastal and marine resources

Team Remote sensing Lead (Robinson Mugo), Remote sensing specialist (Lawrence Okello), Disasters Lead (Denis Macharia), CO Science lead (Ashutosh Limaye)


Development of land cover maps to support GHG inventories and improved land use

Inputs Satellite data (e.g. Landsat), Field & ancillary spatial data

Outputs • LULC maps for the countries. • LULUCF visualization and analysis application. • Training on LULC mapping

Outcomes • Enhanced capacity in governments to make more informed decisions on land allocation and GHG emissions.

• Increased capacity in the countries in the development of LC maps for GHG inventories.

Impact Improved policy frameworks on climate change and related sectors.

End Users Agriculture, Forestry and Land Use (AFOLU) sector technical and policy makers

Team Remote Sensing Expert (Team Lead), RS Technicians, Web Service and Development Specialist, Data Specialist.


Web-based national disaster early warning information system

Inputs • Historical datasets relevant to location and analyses of floods, droughts, forest fires and other hazards;

• Population distribution, vulnerability (exposure, adaptive capacity, and sensitivity), climate baselines

Outputs • Vector and raster datasets processed from input data; • Spatial analyses of hazard events, disaster trends • Training workshops • Web portal

Outcomes • Improved access to spatial data relevant for DRR • Improved understanding of disasters, hazards and the vulnerabilities of the

people to climate change impacts. • Enhanced capacity of the government of Rwanda to reduce losses and

damages as a result of hazards and disasters.

Impact Reduced damage and losses from disasters and hazards

End Users • Officers in the ministry of disaster management and refugee affairs, • Members of the national platform for disaster risk reduction.

Team Disasters Lead (task lead); GIS System Developer; Remote Sensing technicians, Intern.


Hazard risk identification and mapping

Inputs • Long-term and short-term rainfall, temperature, and vegetation data from satellite measurements;

• Historical hazard and disaster data from ground observations to identify areas (hotspots • Integrated household and demographic surveys data & climate datasets used to identify

vulnerability.

Outputs • Hazard Risk and vulnerability atlas • Frequencies/trends, magnitude, losses, and damages of past disasters • Hands-on training workshop for co-development team • Visualization tool

Outcomes • Improved understanding of the risk and vulnerability to the priority hazards in Malawi • Better prioritization of goals in national hazards risk management • Improved understanding of risk and vulnerability mapping procedures by the national

technical mapping experts • Availability of baseline data upon which to target priorities for funding disaster risk

reduction activities

Impact Reduced damages and losses due to hazards

End Users National Disaster Risk Management agency, Development partners (UNDP, World Bank, USAID)

Team Disasters lead, Disasters TA, RS specialist, Malawi co-development team (DoDMA, Survey department, Land Resources Conservation department, UNDP), Database Specialist, GIS System developer


Health risk information management

Inputs • Regional malaria early warning products developed by IRI through the AST • RS datasets accessible through NASA SERVIR and IRI Data Library (precipitation from

CHIRPS, FEWSNET RFE, MODIS vegetation and temperature, Vectorial Capacity Model for Malaria Transmission (VCAP)

Outputs • Climate suitability map for malaria in Zambia (showing seasonality) • An early warning system to forecast malaria (and possibly other vector-borne diseases) • Tool to assess impacts of control efforts based on climatic and environmental factors, • User engagement and training workshops • A peer-reviewed publication of the project.

Outcomes • Improved knowledge of and use of malaria suitability based on remote sensing products coupled with ground data,

• Improved knowledge of and seasonality of malaria across the year based on remote sensing climatic and environmental variables

Impact Reduced cases of malaria and deaths caused by malaria

End Users MoH’s Public Health and Research department, National Malaria Control Centre, President’s Malaria Initiative (USAID)

Team Disasters Lead, AST PI (Pietro Ceccato), RS specialist, CO Science lead.


CREST based Flood Mapping Tool

Inputs • Streamflow- data( outputs from CREST model) • High resolution DEM • Rating curves

Outputs • Trainings for capacity building • Flood mapping tool integrated with CREST model • Inundation maps-flood extent maps for specific basins

Outcomes • Increased capacity in flood management agencies on use of flood tool for decision making.

• Integration of flood early warning information in decision making to reduce impacts of flooding.

• Mitigation measures put in place to avert effects of flooding

Impact • Reduced damage to property and loss of lives due to floods

End Users Officers in Ministries of Water ,Disaster management agencies in Kenya, Uganda, Rwanda and Namibia

Team Task lead (Eric Kabuchanga), Hydrologist(Faith Mitheu) ; CO-Science (Ashutosh Limaye)


Lake Victoria Water Quality and Ecosystem Management

Inputs • MODIS 1km and 0.5km water color data, water surface temperature data. • Land cover and forest cover data for major catchments areas around Lake

Victoria. • In-situ data through collaborations with regional research institutions (e.g.

KMFRI, TAFIRI, Fisheries Research Institute-Uganda).

Outputs • Maps and analyses showing the historical and current status of water quality and erosion/degradation

• Digital map databases for Lake Victoria water quality and ecosystem erosion/degradation

• Training workshop for staff from NGOs and Ministries of Natural Resource management

• Operational system for processing MODIS data from Level 0 to Level 3

Outcomes Enhanced capacity to monitor and manage Lake Victoria water resources for the 5 riparian countries sharing the lake.

Impact Improved water quality in Lake Victoria

End Users Ministries of Natural Resource management in 5 countries

Team EO lead, RS Expert, RS Officer, System developer, CO Science lead


CREST model expansion to Uganda, Namibia and Rwanda

Inputs • Climatic data-Precipitation ( NRT and forecasts), evapotranspiration

• Observed daily stream-flow data • Topographical data- DEM, Flow direction, Flow accumulation

and Scientists( CO & RCMRD)

Outputs • Calibrated CREST model as a flood forecasting system for the priority basins

• Trainings for capacity building • Near real time alert system through email to water authorities

Outcomes

• Increased number of stakeholders using the CREST tool for decision making to reduce the impacts of climate change

Impact • Mitigation measures put in place in flood prone areas • Flood management policies developed

End Users

Stakeholders from Water ministries in Kenya, Uganda, Namibia and Rwanda

Team Task lead (Faith Mitheu), Web Services and System Developer (Eric Kabuchanga); CO-Science (Ashutosh Limaye), Disasters Lead( Dennis Macharia).


Operational Monitoring of

Water Quality on lake

Victoria Using Satellite

Imagery

Makerere

University,

Department of

Geomatics and

Land Management

Maps depicting water quality

spatial variation & Web portal for

dissemination.

Improved availability

and access of water

quality data for Lake

Victoria.

National Water and Sewerage

Corporation, Lake Victoria

Basin Commission, National

Environment Management

Agency, Researchers at

Universities, Fisheries depts.

Project title Implementing

institution

Output Outcomes End user(s)

Integrated Flood Modelling

for Flood Hazard

Assessment in Kigali City,

Rwanda

University of

Rwanda

An up to date dataset on rainfall,

infiltration, water available for

runoff, discharge, hydrographs,

flood height, flood extent, flood

duration, rainfall;

Installed weather stations;

Report of findings including

proposed flood mitigation

scenarios.

Reduced damage and

loss to property and

lives resulting from

flooding due to better

mitigation measures.

Government institutions in

charge of planning, disaster

management, and forecasting

(Kigali City Council, Ministry

of Disaster Management and

Refugees (MIDIMAR), Rwanda

Environmental Management

Authority (REMA), Rwanda

Natural Resources Authority

(RNRA), Rwanda Meteo.

Small scale applications


Project title Implementing

institution

Output Outcomes End user(s)

Web-Based GIS water

resource management

system for The County

Government of Wajir,

Kenya.

Wajir County, Kenya Online web-based GIS

Water Resources

management system.

Improved decisions to inform

policy and address challenges

faced by the County

Government of Wajir in the

planning, development and

management of water

resources.

Wajir County Government,

Kenya National Government

and international organizations.

Enhancing Weather Forecast

Modeling Capabilities in

Kenya Meteorological

Services by use of NASA-

SPoRT/Servir data.

Kenya

Meteorological

Services (KMS)

WRF KMS operational

modeling system using

higher resolution NASA Land

Information System soil

moisture estimates;

Verification statistics for the

baseline WRF model

forecasts for pre-2015 using

MET tool.

More accurate weather

forecasts;

Improved outputs from the

CREST model to help in early

warning for flooding which is

one of the major disasters in

East Africa.

KMS, Water Resource Dept.,

Ministry of Environment,

Water and Natural Resources.

Small scale applications

Implementing the first stage

of an Indian Ocean Global

Warming Observatory based

in Seychelles.

Nature Seychelles GIS/Remote Sensing maps

and data generated in the

project, Google Earth KML

and Google Earth Movie,

photos, Videos during

underwater visual surveys,

scientific articles and

workshop presentation.

Improved methods of

identifying areas vulnerable

to temperature deviations

for better and sustainable

use of coral reef resources in

the Indian Ocean.

Seychelles Fishing Authority

(SFA), Seychelles National

Parks Authority (SNPA), Island

Conservation Society (ICS),

Green Island Foundation (GIF),

Coastal Oceans Research and

Development in the Indian

Ocean (CORDIO).


Small grants

• Geo-mapping for Hay making in Climate Stressed Rangelands (Geo4HCR) by Environment Surveys, Information, Planning & Policy Systems (ESIPPS) International Ltd

• Resilience to Climate Change through Building Capacities in Spatial Data Infrastructure for Uptake by Selected County Governments in the Lake Victoria Region, Kenya by Jaramogi Oginga Odinga University of Science and Technology (JOOST)

• Development of Decision Support System for Sustainable Participatory sub-catchment Water Resources Management in the Face of Deteriorating Climatic Conditions by Jaramogi Oginga Odinga University of Science and Technology (JOOST)

• Train policy makers in data collection and mapping of vulnerable areas in Kampala, Uganda to carry out risk analyses to mitigate climate change risks by Fruits of Thought (FoT)

• Monitoring land degradation in the Central District of Botswana: A three-tier land degradation index mapping approach by Botswana University of Science & Tech (BOUST)

• Development of a Geographical Information System - Based Support Tool for Integrated Water Resources Management in Zambezi Catchment Area within the Zambezi Region of Namibia by Namibia Geographical Information Technologies (NGIT)

• Spatial Temporal Assessment of Mangrove Forest as a Strategy to Mitigate impacts of coastal Hazards: The case of Mafia Island, Tanzania by Ardhi University

• Allometric Equation for Biomass Estimation of 30 Indigenous trees in S&E by Addis Ababa University - Center for Environmental Science, College of Natural Science

• A pilot implementation of the land administration Domain Model for Kenya by Dedan Kimathi University of Technology (DUT)

Documents

SERVIR Eastern & Southern Africa Science Overview