Search Results - "Gebrehiwot, Asmamaw"

Flood Extent Mapping: An Integrated Method Using Deep Learning and Region Growing Using UAV Optical Data by Hashemi-Beni, Leila, Gebrehiwot, Asmamaw A.

“…Flooding occurs frequently and causes loss of lives, and extensive damages to infrastructure and the environment. Accurate and timely mapping of flood extent…”
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Deep Convolutional Neural Network for Flood Extent Mapping Using Unmanned Aerial Vehicles Data by Gebrehiwot, Asmamaw, Hashemi-Beni, Leila, Thompson, Gary, Kordjamshidi, Parisa, Langan, Thomas E

“…Flooding is one of the leading threats of natural disasters to human life and property, especially in densely populated urban areas. Rapid and precise…”
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Challenges and Opportunities for UAV-Based Digital Elevation Model Generation for Flood-Risk Management: A Case of Princeville, North Carolina by Hashemi-Beni, Leila, Jones, Jeffery, Thompson, Gary, Johnson, Curt, Gebrehiwot, Asmamaw

“…Among the different types of natural disasters, floods are the most devastating, widespread, and frequent. Floods account for approximately 30% of the total…”
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Three-Dimensional Inundation Mapping Using UAV Image Segmentation and Digital Surface Model by Gebrehiwot, Asmamaw A, Hashemi-Beni, Leila

“…Flood occurrence is increasing due to the expansion of urbanization and extreme weather like hurricanes; hence, research on methods of inundation monitoring…”
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3D Inundation Mapping: A Comparison Between Deep Learning Image Classification and Geomorphic Flood Index Approaches by Gebrehiwot, Asmamaw, Hashemi-Beni, Leila

“…Inundation mapping is a critical task for damage assessment, emergency management, and prioritizing relief efforts during a flooding event. Remote sensing has…”
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Deep Convolutional Neural Networks for Weeds and Crops Discrimination From UAS Imagery by Hashemi-Beni, Leila, Gebrehiwot, Asmamaw, Karimoddini, Ali, Shahbazi, Abolghasem, Dorbu, Freda

“…Weeds are among the significant factors that could harm crop yield by invading crops and smother pastures, and significantly decrease the quality of the…”
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DEEP LEARNING FOR REMOTE SENSING IMAGE CLASSIFICATION FOR AGRICULTURE APPLICATIONS by Hashemi-Beni, L., Gebrehiwot, A.

“…This research examines the ability of deep learning methods for remote sensing image classification for agriculture applications. U-net and convolutional…”
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Flood Extent Mapping in 3D Using Deep Learning from High-Resolution Remote Sensing Data by Gebrehiwot, Asmamaw Amare

“…Flooding is one of the greatest threats of natural disasters to human life and property, especially in densely populated urban areas. Real-time and precise…”
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A METHOD TO GENERATE FLOOD MAPS IN 3D USING DEM AND DEEP LEARNING by Gebrehiwot, A., Hashemi-Beni, L.

“…High-resolution remote sensing imagery has been increasingly used for flood applications. Different methods have been proposed for flood extent mapping from…”
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Automated Indunation Mapping: Comparison of Methods by Gebrehiwot, Asmamaw, Hashemi-Beni, Leila

“…High-resolution imagery is increasingly used to detect flooded areas during a crisis situation. The article presents a comparison of four image classification…”
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