Linking crowd-sourced and remotely-sensed data to enhance pastoral resilience in northern Kenya
The topic is also suitable for GEM students in track 1 – GEM for Urban-Rural Interactions and track 3 – GEM for Ecosystems & Natural Resources.
Suggested electives: Weather Impact Analysis | Economics and Finance for Geosciences | Quantitative remote sensing of vegetation parameters | Python Solutions
There is scope for the student to spend 2-4 weeks in Kenya. This can partially be at ILRI in Nairobi, but possibly also possibilities exist to go one of the counties in northern Kenya.
The arid and semi-arid Lands (ASALs) of northern Kenya are characterized by extremes of poverty and climate. With limited investment from the Kenyan government, the ASALs face significant environmental and socio-economic challenges. Climate change strongly impacts the region, and hotter and drier conditions are projected for the next decades. Recently the region has faced a prolonged drought with detrimental effects on people and livestock, the basis of most livelihoods, which has led to acute food insecurity. Multiple initiatives exist to enhance pastoral resilience against climatic shocks, including social protection and drought insurance schemes. These schemes can be triggered by biophysical indices on drought, such as forage scarcity indicators derived from NDVI. However, discrepancies may exist between remotely-sensed information and experiences of drought impacts on the ground, leading to inaccuracies in the trigger. This underlines the need for long time series of in-situ monitoring on drought outcomes.
Acknowledging this and building on a long (>10 years) experience on index-based livestock insurance (IBLI), the International Livestock Research Institute (ILRI) established in 2021 so-called “sentinel sites” for in-situ monitoring activities across the ASALs. These activities include repeated observations of forage conditions (through local people operating smartphones and sending pictures – see image –), as well as regular household health- and food-related measurements and questionnaires. This MSc topic will use these data 1) to assess how effective current IBLI indices are for assessing drought conditions, and 2) suggesting alternative remotely-sensed indices that may improve existing insurance schemes.
The student will need to frame the final scientific objectives, but the following activities are foreseen to form part:
- Effectively organize the crowd-sourced information for temporal and spatial analysis;
- Comparison of in-situ drought indicators with remotely sensed information;
- Evaluation of the performance of current insurance triggering indices used;
- Design and evaluation of an improved index;
- Contribute to design of improved in-situ monitoring schemes.
Besides the collaboration with ILRI, and possible (field) visit to Kenya, the MSc project will form part of the large RANGE project (Resilient Approaches in Natural Rangeland Ecosystems), which is led by Mercy Corps and includes ITC as a main partner, particularly for working on the evidence basis on rangeland interventions for resilience. RANGE aims to strengthen the resilience of ASAL communities in three counties of northern Kenya: Marsabit, Samburu, and Isiolo. As part of RANGE, innovative data collection protocols will be developed and implemented. For 2024-2028 multiple PhD and MSc students will be funded through RANGE.
- Vrieling, A., Meroni, M., Mude, A.G., Chantarat, S., Ummenhofer, C.C., & de Bie, C.A.J.M. (2016). Early assessment of seasonal forage availability for mitigating the impact of drought on East African pastoralists. Remote Sensing of Environment, 174, 44-55 https://doi.org/10.1016/j.rse.2015.12.003
- Fava, F., & Vrieling, A. (2021). Earth observation for drought risk financing in pastoral systems of sub-Saharan Africa. Current Opinion in Environmental Sustainability, 48, 44-52 https://doi.org/10.1016/j.cosust.2020.09.006
Ample scope for adaptation exists. Depending on interests, the student can focus more on biophysical aspects, but also household health indicators (such as the middle-upper-arm circumference measurements) could get more attention. Furthermore, within the larger RANGE project, many needs exist, so adjustments can be made.