Using MODIS thermal data for mapping and monitoring of a massive multi-year flooding event in South Sudan for humanitarian response and decision making 
Domaine:
climategeospatialType de record:
paper
Créateur:
SebRogLiaPau
Éditeur:
Cop
Hôte:
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<p><span>A period of exceptionally heavy rainfall across many parts of East Africa from late 2019 to early 2020, followed by above average rainfalls throughout 2020, triggered devastating floods destroying livelihoods and displacing millions of people across the region. South Sudan was hard-hit by the episode of increased rainfall, not only because it triggered severe pluvial and riverine flooding within the country from late 2019 onwards, but also because it led to a more persistent rise in East African lake levels, with subsequent impacts still felt today.</span><span> </span></p>
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<p><span>The peculiarities of South Sudan’s topography, the composition of soils, as well as its huge, mostly inaccessible wetlands, make hydrological modelling and flood mapping a non-trivial task. Furthermore, due to climate and other ecological factors, water surfaces are often obscured by vegetation and patches of floating plant debris, which can lead to an under detection of the flood extent, when optical and radar earth observation satellite data is employed. To overcome this limitation, land-surface temperature data is used and combined with various other satellite data streams to monitor flood and wetland dynamics at multiple spatial and temporal scales. Using historical data, the uniqueness of the current event in recent decades is highlighted and put into context. The insights gained from the analysis not only help deepen the understanding of an ecosystem of regional importance, but also directly support humanitarian decision making and foster efficient allocation of resources.</span><span> </span></p>
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