| Can we detect more ephemeral floods with higher density harmonized Landsat Sentinel 2 data compared to Landsat 8 alone? MG Tulbure, M Broich, V Perin, M Gaines, J Ju, SV Stehman, T Pavelsky, ... ISPRS Journal of Photogrammetry and Remote Sensing 185, 232-246, 2022 | 40 | 2022 |
| A multi-sensor satellite imagery approach to monitor on-farm reservoirs V Perin, MG Tulbure, MD Gaines, ML Reba, MA Yaeger Remote Sensing of Environment 270, 112796, 2022 | 15 | 2022 |
| On-farm reservoir monitoring using Landsat inundation datasets V Perin, MG Tulbure, MD Gaines, ML Reba, MA Yaeger Agricultural Water Management 246, 106694, 2021 | 15 | 2021 |
| Effects of Climate and Anthropogenic Drivers on Surface Water Area in the Southeastern United States MD Gaines, MG Tulbure, V Perin Water Resources Research 58 (3), e2021WR031484, 2022 | 13 | 2022 |
| A review of geospatial content in IEEE visualization publications A Yoshizumi, MM Coffer, EL Collins, MD Gaines, X Gao, K Jones, ... 2020 IEEE Visualization Conference (VIS), 51-55, 2020 | 9 | 2020 |
| Automated in-season rice crop mapping using Sentinel time-series data and Google Earth Engine: A case study in climate-risk prone Bangladesh V Tiwari, MG Tulbure, J Caineta, MD Gaines, V Perin, M Kamal, ... Journal of Environmental Management 351, 119615, 2024 | 4 | 2024 |
| Preliminary comparison and evaluation of soil moisture simulated in GFSv15 and GFSv16 Y Xia, H Wei, J Meng, G Gayno, H Lei, R Yang, Y Wu, F Yang, MJ Barlage, ... 101st American Meteorological Society Annual Meeting, 2021 | 1 | 2021 |
| Quantifying urban flood extent using satellite imagery and machine learning RW Composto, MG Tulbure, V Tiwari, MD Gaines, J Caineta Natural Hazards, 1-25, 2024 | | 2024 |
| Projecting surface water area under different climate and development scenarios MD Gaines, MG Tulbure, V Perin, R Composto, V Tiwari Earth's Future 12 (7), e2024EF004625, 2024 | | 2024 |
| Using Earth Observation Data of Different Spatial Resolutions to Quantify the Influence of Anthropogenic and Climate Drivers on Surface Water Dynamics. MD Gaines | | 2024 |
| Quantifying Urban Flood Extent Using Satellite Imagery and Random Forest: A Case Study in Southeastern Pennsylvania R Composto, MG Tulbure, V Tiwari, MD Gaines, J Caineta | | 2024 |
| Comparing Remotely Sensed Surface Water Areas Between Moderate-and High-Resolution Data Products to Assess Uncertainty in Machine Learning-Projected Surface Water Area MD Gaines, MG Tulbure, V Perin, J Caineta, V Tiwari, R Composto AGU23 Fall Meeting, 2023 | | 2023 |
| Quantifying and Downscaling Methane Concentration from Winter Rice Fields in Bangladesh using Satellite Data and Machine Learning approach V Tiwari, MG Tulbure, J Caineta, MD Gaines, R Composto AGU23 Fall Meeting, 2023 | | 2023 |
| Quantifying Flood Extent Using Satellite Imagery and Machine Learning after Hurricane Ida in Pennsylvania R Composto, MG Tulbure, V Tiwari, MD Gaines, J Caineta AGU23 Fall Meeting, 2023 | | 2023 |
| Multi-sensor fusion for global flood mapping MG Tulbure, M Broich, J Caineta, MD Gaines, V Perin, SV Stehman, ... AGU23 Fall Meeting, 2023 | | 2023 |
| Rice area mapping in Bangladesh: Harnessing the power of time-series of Sentinel data and Google Earth Engine V Tiwari, MG Tulbure, MD Gaines, V Perin Fall Meeting 2022, 2022 | | 2022 |
| Projecting surface water area in the southeastern US under multiple emissions and development scenarios MD Gaines, MG Tulbure, V Perin, V Tiwari AGU Fall Meeting Abstracts 2022, H13C-04, 2022 | | 2022 |
| Global Flood Mapping with High-Resolution Optical-Radar Data Fusion MG Tulbure, M Gaines, V Perin, T Pavelsky, SV Stehman, M Broich, ... AGU Fall Meeting Abstracts 2022, H33E-04, 2022 | | 2022 |
| Projecting surface water in the Southeastern US under three climate and development scenarios MD Gaines, MG Tulbure, V Perin AGU Fall Meeting 2021, 2021 | | 2021 |
| Towards global flood mapping with machine learning based on the Harmonized Landsat-Sentinel 2 data M Tulbure, M Broich, M Gaines, S Stehman, T Pavelsky, V Perin, J Ju, ... AGU Fall Meeting Abstracts 2021, H44E-03, 2021 | | 2021 |
Mirela G. TulbureProfessor, North Carolina State University在 ncsu.edu 的电子邮件经过验证
