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 | 29 | 2023 |
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 | 25 | 2020 |
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 | 19 | 2019 |
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 | 6 | 2021 |
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 | 5 | 2024 |
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 | 3 | 2017 |
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 AGU Fall Meeting Abstracts 2023 (1852), H31Z-1852, 2023 | 2 | 2023 |
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 | 1 | 2022 |
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 | 1 | 2022 |
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 | 1 | 2022 |
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 | 1 | 2022 |
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 | 1 | 2020 |
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 | 1 | 2017 |
Predicting Synthetic Rating Curve Adjustment Factors with Explainable Machine Learning for Enhancing the United States Operational Flood Inundation Mapping Framework A Baruah, R Spies, D Devi, S Cohen, F Aristizabal, P Nikrou, D Tien, ... Authorea Preprints, 2025 | | 2025 |
An improved operational HAND FIM framework for Ungauged regions across Contiguous United States A Baruah, D Devi, P Nikrou, F Aristizabal, R Spies, C Pruitt, S Cohen AGU24, 2024 | | 2024 |
Operationalizing NOAA's Flood Inundation Mapping Services C Pruitt, R Hanna, F Salas, F Aristizabal, B Bates, R Spies, L Keys, ... 104th AMS Annual Meeting, 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 |
A Serverless Computing Implementation of Flood Inundation Mapping R Gonzalez-Pita, F Salas, R Hanna, C Pruitt, F Aristizabal, B Bates, ... 104th AMS Annual Meeting, 2024 | | 2024 |
GVAL: A Python Package For Model Agnostic Geospatial Evaluations Using Open-source, Cloud-Native Technologies G Petrochenkov, F Aristizabal, FR Salas AGU Fall Meeting Abstracts 2023, IN21A-07, 2023 | | 2023 |
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, ... AGU Fall Meeting Abstracts 2023, H34F-04, 2023 | | 2023 |