Land cover classification and wetland inundation mapping using MODIS CA Di Vittorio, AP Georgakakos Remote Sensing of Environment 204, 1-17, 2018 | 81 | 2018 |
GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality MK Lehmann, D Gurlin, N Pahlevan, K Alikas, T Conroy, J Anstee, ... Scientific data 10 (1), 100, 2023 | 41 | 2023 |
Changes in biomass burning, wetland extent, or agriculture drive atmospheric NH trends in select African regions JE Hickman, N Andela, E Dammers, L Clarisse, PF Coheur, ... Atmospheric Chemistry and Physics 21 (21), 16277-16291, 2021 | 13 | 2021 |
Hydrologic modeling of the Sudd Wetland using satellite-based data CA Di Vittorio, AP Georgakakos Journal of Hydrology: Regional Studies 37, 100922, 2021 | 11 | 2021 |
UAV and satellite remote sensing for inland water quality assessments: a literature review ET Wasehun, L Hashemi Beni, CA Di Vittorio Environmental Monitoring and Assessment 196 (3), 277, 2024 | 6 | 2024 |
Enhancing perspectives on lake impairments using satellite observations: A case study on High Rock Lake, North Carolina CA Di Vittorio, M Moerk, W Kreutzberger JAWRA Journal of the American Water Resources Association 59 (5), 1067-1083, 2023 | 3 | 2023 |
GLORIA-A globally representative hyperspectral in situ dataset for optical sensing of water quality [Data paper] MK Lehmann, D Gurlin, N Pahlevan, K Alikas, J Anstee, ... | 2 | 2023 |
Comparison of coastal wetland inventories for representative sites in the United States and implications for change detection YW Rabby, CA Di Vittorio Wetlands Ecology and Management, 1-29, 2024 | | 2024 |
Homogenized gridded dataset for drought and hydrometeorological modeling for the continental United States R Erhardt, CA Di Vittorio, SA Hepler, LEL Lowman, W Wei Scientific Data 11 (1), 375, 2024 | | 2024 |
Author Correction: GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality MK Lehmann, D Gurlin, N Pahlevan, K Alikas, T Conroy, J Anstee, ... Scientific data 10 (1), 191, 2023 | | 2023 |
Using HydroLearn to Collaboratively Develop a Sharable and Customizable Module on Hydrologic Design C Di Vittorio, Z Aljobeh, D Di Vittorio, M Gallagher AGU Fall Meeting Abstracts 2022, ED35B-07, 2022 | | 2022 |
Combining National Wetland Inventories with the Landsat Database to Produce Annual Coastal Wetland Maps that Measure Change from 1982-2022. YW Rabby, C Di Vittorio, M Rezapour AGU Fall Meeting Abstracts 2022, B35A-02, 2022 | | 2022 |
Changes in Wetland Extent, Biomass Burning, or Agriculture Drive Atmospheric NH3 Trends in Select African Regions JE Hickman, N Andela, E Dammers, L Clarisse, PF Coheur, ... 102nd American Meteorological Society Annual Meeting, 2022 | | 2022 |
How Can Satellite-derived Water Quality Estimates Affect Decision-making? A Comparison of Alternative Stories for High Rock Lake, North Carolina C Di Vittorio, M Moerk, W Kreutzberger AGU Fall Meeting Abstracts 2021, SY24A-02, 2021 | | 2021 |
A Comparison Between Satellite-derived and Physically-based Water Quality Estimates for High Rock Lake, North Carolina C Di Vittorio, Y Zhang AGU Fall Meeting Abstracts 2020, H038-0004, 2020 | | 2020 |
Use of satellite data for improved wetland modeling and management: application to the Sudd Wetland, Nile River Basin CA Di Vittorio Georgia Institute of Technology, 2020 | | 2020 |
Using Satellite and In-situ Data to Model Wetlands: Application to the Sudd Wetland in the Nile River Basin C Di Vittorio, AP Georgakakos AGU Fall Meeting Abstracts 2018, H22G-07, 2018 | | 2018 |
Improved Management of the Nile River Basin Through Modeling the Sudd, a Wetland with Vital Socioeconomic and Environmental Services C Di Vittorio, AP Georgakakos AGU Fall Meeting Abstracts 2017, H33H-1816, 2017 | | 2017 |
A Satellite Based Method for Wetland Inundation Mapping C Di Vittorio, AP Georgakakos AGU Fall Meeting Abstracts 2016, H43O-04, 2016 | | 2016 |
ISyE 6416–Computational Statistics-Spring 2016 Project Final Report Submitted: April 26th 2016 C Di Vittorio, R Woessner Computational Statistics, 2016 | | 2016 |