Deep convolutional neural network for flood extent mapping using unmanned aerial vehicles data A Gebrehiwot, L Hashemi-Beni, G Thompson, P Kordjamshidi, TE Langan Sensors 19 (7), 1486, 2019 | 195 | 2019 |
Challenges and opportunities for UAV-based digital elevation model generation for flood-risk management: a case of Princeville, North Carolina L Hashemi-Beni, J Jones, G Thompson, C Johnson, A Gebrehiwot Sensors 18 (11), 3843, 2018 | 105 | 2018 |
Flood extent mapping: An integrated method using deep learning and region growing using UAV optical data L Hashemi-Beni, AA Gebrehiwot IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 75 | 2021 |
Deep learning for remote sensing image classification for agriculture applications L Hashemi-Beni, A Gebrehiwot The international archives of photogrammetry, remote sensing and spatial …, 2020 | 35 | 2020 |
Deep convolutional neural networks for weeds and crops discrimination from UAS imagery L Hashemi-Beni, A Gebrehiwot, A Karimoddini, A Shahbazi, F Dorbu Frontiers in Remote Sensing 3, 755939, 2022 | 33 | 2022 |
Three-dimensional inundation mapping using UAV image segmentation and digital surface model AA Gebrehiwot, L Hashemi-Beni ISPRS International Journal of Geo-Information 10 (3), 144, 2021 | 30 | 2021 |
Automated indunation mapping: Comparison of methods A Gebrehiwot, L Hashemi-Beni IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 17 | 2020 |
Using ABM to study the potential of land use change for mitigation of food deserts AA Gebrehiwot, L Hashemi-Beni, LA Kurkalova, CL Liang, MK Jha Sustainability 14 (15), 9715, 2022 | 13 | 2022 |
A method to generate flood maps in 3D using DEM and deep learning A Gebrehiwot, L Hashemi-Beni The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020 | 13 | 2020 |
Inundation mapping using UAVs: Fixed wing vs. multirotor L Hashemi-Beni, D FOGELMAN, G THOMPSON, A GEBREHIWOT Presented at the FIG e-Working Week 2021, 21-25, 2021 | 2 | 2021 |
3D Inundation Mapping using Deep Learning and Geomorphic Flood Index: A comparison A Gebrehiwot, L Hashemi Beni Frontiers in Remote Sensing, 51, 2022 | 1* | 2022 |
Geospatial Data Analysis to Understand Food Security S Dhamankar, L Beni, L Kurkalova, M Jha, C Liang, T Mulrooney, G Monty, ... AGU Fall Meeting Abstracts 2021, GH24A-03, 2021 | 1 | 2021 |
Agent Based Modeling of Land Use and Land Cover Changes to Assess Community Food Desert Using Geospatial Technology A Gebrehiwot, L Beni, L Kurkalova, C Liang, M Jha, T Mulrooney, G Monty, ... AGU Fall Meeting Abstracts 2021, GH44A-01, 2021 | 1 | 2021 |
Flood Extent Mapping in 3D using Deep Learning from High-Resolution Remote Sensing Data AA Gebrehiwot North Carolina Agricultural and Technical State University, 2021 | 1 | 2021 |
Deep Learning for Inundation Extent Mapping A Gebrehiwot, LH Beni AGU Fall Meeting Abstracts 2020, NH043-0002, 2020 | 1 | 2020 |
Land Suitability Analysis for Crop Production Using Geospatial Technology: A Case Study in the Guilford County, North Carolina S Bhandari, MK Jha, A Gebrehiwot, LH Beni, LA Kurkalova, CL Liang, ... AGU Fall Meeting Abstracts 2022, GC44A-02, 2022 | | 2022 |
Linking Production with Consumption to Assess Food Deserts Using Agent-Based Modeling and Geospatial Analysis A Gebrehiwot, LH Beni, LA Kurkalova, CL Liang, MK Jha, TJ Mulrooney AGU Fall Meeting Abstracts 2022, GC44A-03, 2022 | | 2022 |
UAV Surveying for Environmental Studies AG Freda DORBU, Leila BENI, Abdella SALEM, Tewodros GEBRE FIG Congress 2022, 2022 | | 2022 |
Deep Learning-based Flood Extent Mapping with Optical Imagery A Gebrehiwot, SH Yun, J Jung AGU Fall Meeting Abstracts 2019, H14G-04, 2019 | | 2019 |
Future of Rapid Disaster Mapping with SAR Observations SH Yun, J Jung, YNN Lin, O Stephenson, A Bhardwaj, NI Ulloa, ... AGU Fall Meeting Abstracts 2019, NH21C-0980, 2019 | | 2019 |