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Courtney Di Vittorio
Courtney Di Vittorio
Assistant Professor, Wake Forest Engineering
在 wfu.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Land cover classification and wetland inundation mapping using MODIS
CA Di Vittorio, AP Georgakakos
Remote Sensing of Environment 204, 1-17, 2018
812018
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
412023
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
132021
Hydrologic modeling of the Sudd Wetland using satellite-based data
CA Di Vittorio, AP Georgakakos
Journal of Hydrology: Regional Studies 37, 100922, 2021
112021
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
62024
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
32023
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, ...
22023
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
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