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Courtney Di Vittorio
Courtney Di Vittorio
Assistant Professor, Wake Forest Engineering
Подтвержден адрес электронной почты в домене wfu.edu - Главная страница
Название
Процитировано
Процитировано
Год
Land cover classification and wetland inundation mapping using MODIS
CA Di Vittorio, AP Georgakakos
Remote Sensing of Environment 204, 1-17, 2018
872018
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
732023
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
242024
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
142021
Hydrologic modeling of the Sudd wetland using satellite-based data
CA Di Vittorio, AP Georgakakos
Journal of Hydrology: Regional Studies 37, 100922, 2021
142021
GLORIA-A global dataset of remote sensing reflectance and water quality from inland and coastal waters
MK Lehmann, D Gurlin, N Pahlevan, K Alikas, JM Anstee, ...
(No Title), 2022
8*2022
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
62023
Comparative analysis of Sentinel-2 and PlanetScope imagery for chlorophyll-a prediction using machine learning models
ET Wasehun, LH Beni, CA Di Vittorio, CM Zarzar, KRL Young
Ecological Informatics 85, 102988, 2025
12025
Mapping coastal wetland changes from 1985 to 2022 in the US Atlantic and Gulf Coasts using Landsat time series and national wetland inventories
CA Di Vittorio, M Wiles, YW Rabby, S Movahedi, J Louie, L Hezrony, ...
Remote Sensing Applications: Society and Environment 37, 101392, 2025
12025
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 32 (4), 479-507, 2024
12024
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
12023
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, ...
12023
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
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
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Статьи 1–20