Search Results - "van den Homberg, Marc J. C."
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The Changing Face of Accountability in Humanitarianism: Using Artificial Intelligence for Anticipatory Action
Published in Politics and governance (01-12-2020)“…Over the past two decades, humanitarian conduct has been drifting away from the classical paradigm. This drift is caused by the blurring of boundaries between…”
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The Legitimacy, Accountability, and Ownership of an Impact-Based Forecasting Model in Disaster Governance
Published in Politics and governance (01-12-2020)“…The global shift within disaster governance from disaster response to preparedness and risk reduction includes the emergency of novel Early Warning Systems…”
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Improved Transferability of Data‐Driven Damage Models Through Sample Selection Bias Correction
Published in Risk analysis (01-01-2021)“…Damage models for natural hazards are used for decision making on reducing and transferring risk. The damage estimates from these models depend on many…”
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Improving flood damage assessments in data-scarce areas by retrieval of building characteristics through UAV image segmentation and machine learning – a case study of the 2019 floods in southern Malawi
Published in Natural hazards and earth system sciences (27-10-2021)“…Reliable information on building stock and its vulnerability is important for understanding societal exposure to floods. Unfortunately, developing countries…”
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Linking reported drought impacts with drought indices, water scarcity and aridity: the case of Kenya
Published in Natural hazards and earth system sciences (01-09-2023)“…The relation between drought severity and drought impacts is complex and relatively unexplored in the African continent. This study assesses the relation…”
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Forecasting transitions in the state of food security with machine learning using transferable features
Published in The Science of the total environment (10-09-2021)“…Food insecurity is a growing concern due to man-made conflicts, climate change, and economic downturns. Forecasting the state of food insecurity is essential…”
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Why We Can No Longer Ignore Consecutive Disasters
Published in Earth's future (01-03-2020)“…In recent decades, a striking number of countries have suffered from consecutive disasters: events whose impacts overlap both spatially and temporally, while…”
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Exploring the integration of local and scientific knowledge in early warning systems for disaster risk reduction: a review
Published in Natural hazards (Dordrecht) (01-11-2022)“…The occurrence and intensity of some natural hazards (e.g. hydro-meteorological) increase due to climate change, with growing exposure and socio-economic…”
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Auditing Geospatial Datasets for Biases: Using Global Building Datasets for Disaster Risk Management
Published in IEEE journal of selected topics in applied earth observations and remote sensing (2024)“…The presence of biases has been demonstrated in a wide range of machine learning applications; however, it is not yet widespread in the case of geospatial…”
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River Flood Detection Using Passive Microwave Remote Sensing in a Data-Scarce Environment: A Case Study for Two River Basins in Malawi
Published in Frontiers in earth science (Lausanne) (05-07-2021)“…Detecting and forecasting riverine floods is of paramount importance for adequate disaster risk management and humanitarian response. However, this is…”
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Cost-benefit analysis of flood early warning system in the Karnali River Basin of Nepal
Published in International journal of disaster risk reduction (01-08-2020)“…Nepal is severely flood-prone and ranks 20th worldwide in terms of flood-affected population. Although it is widely acknowledged that both national and…”
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Contextualising seasonal climate forecasts by integrating local knowledge on drought in Malawi
Published in Climate services (01-01-2022)“…Droughts and changing rainfall patterns due to natural climate variability and climate change, threaten the livelihoods of Malawi’s smallholder farmers, who…”
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