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Asmamaw A. Gebrehiwot - IEEE Xplore Author Profile

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Flooding occurs frequently and causes loss of lives, and extensive damages to infrastructure and the environment. Accurate and timely mapping of flood extent to ascertain damages is critical and essential for relief activities. Recently, deep-learning-based approaches, including convolutional neural network (CNN) has shown promising results for flood extent mapping. However, these methods cannot e...Show More
High-resolution imagery is increasingly used to detect flooded areas during a crisis situation. The article presents a comparison of four image classification methods for flood extent mapping. The methods include Random Forest (RF), support vector machine (SVM), fully convolutional network (FCN), and normalized difference water index (NDWI). High-resolution UAV imagery collected during Hurricane M...Show More