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Mollie D. Gaines
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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
432022
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
152022
On-farm reservoir monitoring using Landsat inundation datasets
V Perin, MG Tulbure, MD Gaines, ML Reba, MA Yaeger
Agricultural Water Management 246, 106694, 2021
152021
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
142022
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
102020
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
62024
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
12021
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
12021
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
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