Climate change articles

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End date: 2022Subject: search.filters.subject.Flood impacts

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    Use of earth observation products to enhance humanitarian disaster response: A Case Study of KRCS Response to West Pokot Mudslides in 2019
    (Researchgate, 2020-12-01) Osunga, Michael; Makena, Betty; Abdillahi, Halima Saado
    Kenya is mostly affected by mudslides and floods during two rainfall seasons, namely March-April-May (MAM) and October-November-December (OND). These landslides, floods and mudslides more often than not lead to loss of human lives, destruction of houses, displacement of people, livestock deaths, loss livelihoods among other impacts. This paper highlights the use of earth observation satellite imageries from the Airbus foundation for-disaster impact assessment during the 2019 OND rainfall season to support effective response. On the 23rd of November 2019 during the OND rainfall season, mudslides and floods occurred in West Pokot resulting in disruption of road accessibility, loss of human lives, loss of livelihoods, houses destruction and displacement of people. Due to continuation of rainfall, roads were cut-off and hence it was difficult to access the area to determine the damage and the number of households affected. Through the partnership with Airbus foundation, International Center for Humanitarian Affairs (ICHA) at Kenya Red Cross Society (KRCS) tasked the Pleiades satellite to acquire imageries of the affected areas five days after the mudslide event. A spot 6 imagery archive captured on the 15th of May 2019 (months before the mudslide event) was downloaded from the Airbus foundation archives. A comparison of these two imageries through change detection was done in order to extract mudslide and flooding hazard extents. A hazard exposure analysis was done in order to determine houses and roads affected by the mudslide and flood hazard. Results from exposure analysis revealed over 145 houses as being destroyed and over 2.1 kilometers of roads being cut-off. Further analysis was done to determine partially and completely destroyed houses. KRCS was able to use this information for post-disaster recovery interventions such as search and rescue as well as shelter initiation of re-construction houses that were completely damaged by floods and mudslides. This study has demonstrated the valuable use of satellite imageries from the Airbus Foundation to KRCS through provision of timely and accurate information on impacts of mudslides and floods in remote and inaccessible areas in a cost-effective manner and further support effective and efficient response and recovery. It is highly recommended for KRCS and other Red Cross and Red Crescent National Societies to use earth observation satellites for post-disaster assessment especially in remote areas that are inaccessible. This by far would improve their humanitarian capacity in conducting post-disaster assessments in a cost-effective and timely manner.
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    FLOOD IMPACT-BASED FORECASTING FOR EARLY WARNING AND EARLY ACTION IN TANA RIVER BASIN, KENYA
    (Researchgate, 2019-09-03) Otieno, O.M.; Abdillahi, H. S.; Wambui, E. M.; Kiprono, K. S.
    Kenya is mostly affected by floods during the March-April-May (MAM) and October November-December (OND) rainfall. This often occurs along river basins such as the Tana river basin, leading to disruption of people’s livelihoods, loss of lives, infrastructure destruction and interruption of economic activities. This study used openly available data on flood exposure, vulnerability, lack of coping capacity, flood impacts and observed satellite rainfall to analyse and predict forecast-based impacts in Tana river. Earth observation satellites including LANDSAT, sentinel 1 and 2 were acquired based on credible flood event dates to validate flood exposure and flood events. The community risk assessment (CRA) approach was used to delineate communities at high risk of floods using combination of data on vulnerability, flood exposure and lack of coping capacity. Using an ordinary least squares (OLS) predictive model, observed satellite rainfall was used as a covariate in order to predict flood impacts on communities with high flood risk scores in Tana river. Weighted scores from the CRA dimensions were summed up with forecasted hazards from the OLS model in order to derive a flood impact-based forecast. The flood impact information is to be used in forecast-based action through early warning, early action protocols thereby reducing impacts of potential floods in communities living in high flood risk areas based on the flood risk map.