| Evaluation of unoccupied aircraft system (UAS) remote sensing reflectance retrievals for water quality monitoring in coastal waters AE Windle, GM Silsbe Frontiers in Environmental Science 9, 674247, 2021 | 39 | 2021 |
| Rapid and accurate monitoring of intertidal Oyster Reef Habitat using unoccupied aircraft systems and structure from motion AE Windle, SK Poulin, DW Johnston, JT Ridge Remote Sensing 11 (20), 2394, 2019 | 38 | 2019 |
| Deep learning for coastal resource conservation: automating detection of shellfish reefs JT Ridge, PC Gray, AE Windle, DW Johnston Remote Sensing in Ecology and Conservation 6 (4), 431-440, 2020 | 36 | 2020 |
| Evaluating atmospheric correction algorithms applied to olci sentinel-3 data of Chesapeake Bay Waters AE Windle, H Evers-King, BR Loveday, M Ondrusek, GM Silsbe Remote Sensing 14 (8), 1881, 2022 | 25 | 2022 |
| Enhancing georeferencing and mosaicking techniques over water surfaces with high-resolution unmanned aerial vehicle (uav) imagery A Román, S Heredia, AE Windle, A Tovar-Sánchez, G Navarro Remote Sensing 16 (2), 290, 2024 | 17 | 2024 |
| Robotic vehicles enable high-resolution light pollution sampling of sea turtle nesting beaches AE Windle, DS Hooley, DW Johnston Frontiers in Marine Science 5, 493, 2018 | 16 | 2018 |
| Estimation of intertidal oyster reef density using spectral and structural characteristics derived from unoccupied aircraft systems and structure from motion photogrammetry AE Windle, B Puckett, KB Huebert, Z Knorek, DW Johnston, JT Ridge Remote Sensing 14 (9), 2163, 2022 | 12 | 2022 |
| Multi-temporal high-resolution marsh vegetation mapping using Unoccupied Aircraft System remote sensing and machine learning AE Windle, L Staver, AJ Elmore, S Scherer, S Keller, B Malmgren, ... Frontiers in Remote Sensing 4, 17, 2023 | 8 | 2023 |
| Robust ocean color from drones: Viewing geometry, sky reflection removal, uncertainty analysis, and a survey of the Gulf Stream front PC Gray, AE Windle, J Dale, IB Savelyev, ZI Johnson, GM Silsbe, ... Limnology and Oceanography: Methods 20 (10), 656-673, 2022 | 7 | 2022 |
| Investigating a Gulf Stream Frontal Eddy North of Cape Hatteras: Questioning Overall Impacts on Ecology PC Gray, J Gronniger, I Sayvelev, J Dale, AK Niebergall, N Cassar, ... bioRxiv, 2023.02. 22.529409, 2023 | 4* | 2023 |
| Building an inclusive wave in marine science: Sense of belonging and Society for Women in Marine Science symposia KN Canfield, AR Sterling, CM Hernández, SN Chu, BR Edwards, ... Progress in oceanography 218, 103110, 2023 | 3 | 2023 |
| Evidence for kilometer‐scale biophysical features at the Gulf Stream front PC Gray, I Savelyev, N Cassar, M Lévy, E Boss, Y Lehahn, G Bourdin, ... Journal of Geophysical Research: Oceans 129 (3), e2023JC020526, 2024 | 1 | 2024 |
| The Help Hub: Introducing NASA’s New Interactive Learning Resource for Satellite Data Processing, Starting with the PACE Mission. C Poulin, IT Carroll, A Windle, M McKibben, J Allen, S Foley, A Scott, ... 105th AMS Annual Meeting, 2025 | | 2025 |
| Novel Direct Georeferencing-Based Method for Accurate Water Surface Mosaicking with High-Resolution UAV Imagery A Roman, S Heredia, A Windle, A Tovar-Sánchez, G Silsbe, G Navarro 2024 Ocean Sciences Meeting, 2024 | | 2024 |
| Incorporating Unoccupied Aircraft Systems (UAS) and Earth Observing Satellites to Enhance Environmental Remote Sensing of Chesapeake Bay AE Windle University of Maryland, College Park, 2023 | | 2023 |
| Ocean Color from Aerial Drones for Fine Scale Surveys Across the Gulf Stream Front P Gray, A Windle, J Dale, D Johnston, G Larsen AGU Fall Meeting Abstracts 2021, B13A-08, 2021 | | 2021 |
| Evaluating Atmospheric Correction Algorithms for Sentinel 3 OLCI in Chesapeake Bay A Windle, G Silsbe Ocean Sciences Meeting 2020, 2020 | | 2020 |
| Deep learning for coastal ecosystem mapping JT Ridge, PC Gray, AE Windle, DW Johnston 2019 CERF Biennial Conference, 2019 | | 2019 |
| Remote Sensing in the Chesapeake Bay: A Focus on Harmful Algal Blooms NP De La Cruz, GM Silsbe, AE Windle 2019 CERF Biennial Conference, 2019 | | 2019 |
| The use of autonomous terrestrial rovers for high resolution light pollution sampling in beach environments A Windle Duke University, 2018 | | 2018 |
Greg M SilsbeUniversity of Maryland Center for Environmental StudiesVerifierad e-postadress på umces.edu