| Deep Uncertainties in Sea‐Level Rise and Storm Surge Projections: Implications for Coastal Flood Risk Management PC Oddo, BS Lee, GG Garner, V Srikrishnan, PM Reed, CE Forest, ... Risk Analysis. doi:10.1111/risa.12888, 2017 | 76 | 2017 |
| Using NASA Earth observations and Google Earth Engine to map winter cover crop conservation performance in the Chesapeake Bay watershed A Thieme, S Yadav, PC Oddo, JM Fitz, S McCartney, LA King, J Keppler, ... Remote Sensing of Environment 248, 111943, 2020 | 60 | 2020 |
| The value of near real-time earth observations for improved flood disaster response PC Oddo, JD Bolten Frontiers in Environmental Science 7, 127, 2019 | 39 | 2019 |
| Socioeconomic impact evaluation for near real-time flood detection in the lower Mekong river basin PC Oddo, A Ahamed, JD Bolten Hydrology 5 (2), 23, 2018 | 25 | 2018 |
| Impacts of representing sea-level rise uncertainty on future flood risks: An example from San Francisco Bay KL Ruckert, PC Oddo, K Keller PloS one 12 (3), e0174666, 2017 | 14 | 2017 |
| Reservoir Assessment Tool version 3.0: a scalable and user-friendly software platform to mobilize the global water management community S Minocha, F Hossain, P Das, S Suresh, S Khan, G Darkwah, H Lee, ... Geoscientific Model Development Discussions 2023, 1-23, 2023 | 4 | 2023 |
| Satellite-based Tracking of Reservoir Operations for Flood Management during the 2018 Extreme Weather Event in Kerala, India S Suresh, F Hossain, S Minocha, P Das, S Khan, H Lee, K Andreadis, ... Hydrology and Earth System Sciences Discussions 2023, 1-34, 2023 | 4 | 2023 |
| Application of remote sensing for ex ante decision support and evaluating impact A Thieme, E Glennie, P Oddo, S McCartney, M Ruid, A Anand American Journal of Evaluation 43 (1), 26-45, 2022 | 4 | 2022 |
| ResORR: A globally scalable and satellite data-driven algorithm for river flow regulation due to reservoir operations P Das, F Hossain, S Minocha, S Suresh, GK Darkwah, H Lee, ... Environmental Modelling & Software 176, 106026, 2024 | 3 | 2024 |
| Real options analysis for valuation of climate adaptation pathways with application to transit infrastructure MV Martello, AJ Whittle, PC Oddo, R de Neufville Risk Analysis 44 (5), 1046-1066, 2024 | 2 | 2024 |
| Deep Convolutional LSTM for improved flash flood prediction PC Oddo, JD Bolten, SV Kumar, B Cleary Frontiers in Water 6, 1346104, 2024 | 2 | 2024 |
| Utilizing Landsat and Sentinel-2 to remotely monitor and evaluate the performance of winter cover crops throughout Maryland J Peredo, C Wayman, B Whong, A Thieme, LR Kline, S Yadav, B Eder, ... The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020 | 1 | 2020 |
| Quantifying Multi-Objective Tradeoffs under Deep Uncertainty in the Design of Sea-Level Rise Adaptation Strategies P Oddo, GG Garner, BS Lee, CE Forest, K Keller American Geophysical Union 13, 2015 | 1 | 2015 |
| Geochemical Evidence of Anthropogenic Impacts on Swiftcurrent Lake, Glacier National Park, MT P Oddo, C Williams Keck Symposium 24, 2011 | 1 | 2011 |
| From Space to Solutions: Leveraging Satellite Earth Observations for Effective Water Resources Management I Poster E Urquhart, P Oddo, C Hain, FS Melton AGU23, 2023 | | 2023 |
| Anthropocene and Little Ice Age Lake Sedimentation in Eastern Glacier National Park, Montana, USA KR MacGregor, A Myrbo, H Anderson, P Oddo, CJ Williams AGU Fall Meeting Abstracts 2023 (1773), EP11D-1773, 2023 | | 2023 |
| Satellite Earth Observations Based Tracking of Reservoir Operations for Flood Preparedness in Mountainous and High Precipitation Regions: A Case of the 2018 Kerala Floods S Suresh, F Hossain, S Minocha, P Das, S Khan, H Lee, K Andreadis, ... AGU Fall Meeting Abstracts 2023 (1725), H31S-1725, 2023 | | 2023 |
| Supporting International Water Research Priorities from Space P Oddo, JD Bolten, S Brennan, B Doorn AGU Fall Meeting Abstracts 2022, U26A-04, 2022 | | 2022 |
| Building a Real-Time Predictive Flood Model for Improving Early Warning Systems in Ellicott City, Maryland R Hammock, E Munshi, E Orland, A Schulz, J Bolten, S Kumar, P Oddo AMS101, 2021 | | 2021 |
| Improved flood prediction using deep convolutional neural networks in Ellicott City, Maryland P Oddo, JD Bolten, SV Kumar, B Cleary AGU Fall Meeting Abstracts 2020, H218-0013, 2020 | | 2020 |
Klaus KellerHodgson Distinguished Professor, Thayer School of Engineering at Dartmouth College在 dartmouth.edu 的电子邮件经过验证
