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Fernando Aristizabal
Fernando Aristizabal
ERT, US NOAA Office of Water Prediction
Verified email at ufl.edu - Homepage
Title
Cited by
Cited by
Year
High-resolution inundation mapping for heterogeneous land covers with synthetic aperture radar and terrain data
F Aristizabal, J Judge, A Monsivais-Huertero
Remote Sensing 12 (6), 900, 2020
192020
Using Steady‐State Backwater Analysis to Predict Inundated Area from National Water Model Streamflow Simulations
A Shastry, R Egbert, F Aristizabal, C Luo, CW Yu, S Praskievicz
JAWRA Journal of the American Water Resources Association 55 (4), 940-951, 2019
142019
Extending height above nearest drainage to model multiple fluvial sources in flood inundation mapping applications for the US National Water Model
F Aristizabal, F Salas, G Petrochenkov, T Grout, B Avant, B Bates, R Spies, ...
Water Resources Research 59 (5), e2022WR032039, 2023
72023
Mapping fluvial inundation extents with graph signal filtering of river depths determined from unsupervised clustering of synthetic aperture radar imagery
F Aristizabal, J Judge
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 6124 …, 2021
72021
Identifying the Optimal Spatial Resolution of LiDAR Derived Elevation Data for Continental Scale Flood Inundation Mapping Applications
F Aristizabal, FR Salas, T Chegini, J Judge
AGU Fall Meeting Abstracts 2022, H33C-02, 2022
12022
Reducing Horton-Strahler stream order can enhance flood inundation mapping skill with applications for the US National Water Model
F Aristizabal, FR Salas, G Petrochenkov, T Grout, B Avant, B Bates, ...
Authorea Preprints, 2022
12022
Reducing a Stream Network's Horton-Strahler Stream Order Improves the Skill of Flood Inundation Maps from Height Above Nearest Drainage Method
F Aristizabal, G Petrochenkov, F Salas, H Zamanisabzi, M Luck, B Avant, ...
Authorea Preprints, 2022
12022
Extending Height Above Nearest Drainage to Model Multiple Fluvial Sources in Flood Inundation Mapping Applications for the US National Water Model
F Aristizabal, FR Salas, G Petrochenkov, T Grout, B Avant, B Bates, ...
ESS Open Archive eprints 105, essoar. 10510487, 2022
12022
Evaluation of Flood Inundation Mapping Activities at the NOAA National Water Center
T Grout, FR Salas, B Bates, R Niraula, F Aristizabal, BK Avant, ...
AGU Fall Meeting Abstracts 2020, H111-0026, 2020
12020
Comparing national water model inundation predictions with hydrodynamic modeling
RJ Egbert, A Shastry, F Aristizabal, C Luo
AGU Fall Meeting Abstracts 2017, H51Q-06, 2017
12017
Comparing NWM Inundation Predictions with Hydrodynamic Modeling
A Shastry, C Luo, F Aristizabal, R Egbert
National Water Center Innovators Program Summer Institute Report 2017, 49, 2017
12017
Effects of high-quality elevation data and explanatory variables on the accuracy of flood inundation mapping via Height Above Nearest Drainage
F Aristizabal, T Chegini, G Petrochenkov, F Salas, J Judge
Hydrology and Earth System Sciences 28 (6), 1287-1315, 2024
2024
An Open-Source Software Solution for Repeatable and Interpretable Geospatial Evaluations
G Petrochenkov, F Aristizabal, F Salas
104th AMS Annual Meeting, 2024
2024
Harnessing the Cloud for Operational Flood Prediction: Developing the Office of Water Prediction's Flood Inundation Mapping Capabilities
R Spies, C Pruitt, B Bates, M Luck, R Hanna, R Gonzalez-Pita, L Keys, ...
AGU23, 2023
2023
A systematic evaluation on rating curve sensitivity on the accuracy of flood inundation mapping with Height Above Nearest Drainage
A Baruah, P Nikrou, D Tian, S Cohen, F Aristizabal, B Bates, R Hanna
AGU23, 2023
2023
GVAL: A Python Package For Model Agnostic Geospatial Evaluations Using Open-source, Cloud-Native Technologies
G Petrochenkov, F Aristizabal, FR Salas
AGU23, 2023
2023
Effects of High-Quality Elevation Data and Explanatory Variables on the Accuracy of Flood Inundation Mapping via Height Above Nearest Drainage
F Aristizabal, T Chegini, G Petrochenkov, FR Salas, J Judge
EGUsphere 2023, 1-41, 2023
2023
Varying the Spatial Resolution of LiDAR Derived DEMs to Optimize For The Skill and Computational Costs of Continental Flood Inundation Maps
F Aristizabal, F Salas, J Judge, T Chegini, G Petrochenkov
103rd AMS Annual Meeting, 2023
2023
High Resolution Flood Inundation Mapping From Remote Sensing Observations and Hydrology Models at Continental Scales
F Aristizábal
University of Florida, 2023
2023
Extending Height Above Nearest Drainage to Model Multiple Fluvial Sources in Flood Inundation Mapping
F Aristizabal, F Salas, G Petrochenkov, T Grout, B Avant, B Bates, R Spies, ...
Authorea Preprints, 2022
2022
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