| Testing the skill of numerical hydraulic modeling to simulate spatiotemporal flooding patterns in the Logone floodplain, Cameroon A Fernández, MR Najafi, M Durand, BG Mark, M Moritz, HC Jung, J Neal, ... Journal of Hydrology 539, 265-280, 2016 | 45 | 2016 |
| Utilizing flood inundation observations to obtain floodplain topography in data-scarce regions A Shastry, M Durand Frontiers in Earth Science 6, 243, 2019 | 26 | 2019 |
| 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 | 14 | 2019 |
| Small-scale anthropogenic changes impact floodplain hydraulics: Simulating the effects of fish canals on the Logone floodplain A Shastry, M Durand, J Neal, A Fernández, SC Phang, B Mohr, HC Jung, ... Journal of Hydrology 588, 125035, 2020 | 13 | 2020 |
| Mapping floods from remote sensing data and quantifying the effects of surface obstruction by clouds and vegetation A Shastry, E Carter, B Coltin, R Sleeter, S McMichael, J Eggleston Remote Sensing of Environment 291, 113556, 2023 | 12 | 2023 |
| Co‐producing research in the “Red Zone”: Adaptation to fieldwork constraints with a transdisciplinary approach S Laborde, SC Phang, M Ahmadou, N Henry, A Fernández, M Durand, ... The Geographical Journal 184 (4), 369-383, 2018 | 10 | 2018 |
| Trends and spatial patterns of 20th century temperature, rainfall and PET in the semi-arid Logone River basin, Sub-Saharan Africa A Murumkar, M Durand, A Fernández, M Moritz, B Mark, SC Phang, ... Journal of arid environments 178, 104168, 2020 | 8 | 2020 |
| Delineation of flood-prone areas using modified topographic index for a river basin D Nagesh Kumar, AR Shastry, K Srinivasa Raju h2oj 3 (1), 58-68, 2020 | 4 | 2020 |
| Corrigendum to'Testing the skill of numerical hydraulic modeling to simulate spatiotemporal flooding patterns in the Logone floodplain, Cameroon'[Journal of Hydrology, volume … A Fernández, MR Najafi, M Durand, BG Mark, M Moritz, HC Jung, J Neal, ... Journal of Hydrology 562, 833-834, 2018 | 4 | 2018 |
| Water Surface Elevation Constraints in a Data Assimilation Scheme to Infer Floodplain Topography: A Case Study in the Logone Floodplain A Shastry, M Durand Geophysical Research Letters, e2020GL088759, 2020 | 3 | 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 |
| 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 | 1 | 2017 |
| Using Data-Driven Models to Provide Early Warning Forecasts of Hydrological Drought Onset, Duration, and Severity in the Colorado River Basin and Across the Conterminous United … JC Hammond, A Archer, G Cook, J Diaz, P Goodling, K Hafen, ... AGU23, 2023 | | 2023 |
| Mapping Bedrock Outcrops in the Sierra Nevada using Machine Learning AR Shastry, C Cerovski-Darriau, B Coltin, JD Stock AGU Fall Meeting Abstracts 2022, NH45B-0459, 2022 | | 2022 |
| Mapping Floods from Sentinel-1 Synthetic Aperture Radar using Machine Learning AR Shastry, B Coltin, S McMichael, J Eggleston AGU Fall Meeting Abstracts 2022, H45K-1527, 2022 | | 2022 |
| The GRRIEn Analysis Framework: effective supervised learning of earth surface processes at large spatial scales. E Carter, A Shastry, R Sleeter, J Eggleston Authorea Preprints, 2022 | | 2022 |
| Regional streamflow drought forecasting in the Colorado River Basin using Deep Neural Network models SD Hamshaw, P Goodling, K Hafen, J Hammond, R McShane, R Sando, ... Frontiers in Hydrology Meeting 2022, 2022 | | 2022 |
| Quantifying the effects of surface obstruction by clouds and vegetation in remote sensing of flood events A Shastry, B Coltin, R Sleeter, E Carter, J Eggleston, K Dobbs, ... AGU Fall Meeting Abstracts 2021, H51A-05, 2021 | | 2021 |
| Navigating a Nonacademic Research Career: Gain Tips and Insights on How to Stand Out from the Crowd IG Nejad, L Saberi, B Redder, B Khazaei, AR Shastry, M Zarekarizi, ... AGU Fall Meeting 2020, 2020 | | 2020 |
| Convolutional Neural Networks to Improve Soil-Cover Maps by Identifying Rock Outcrops in California AR Shastry, C Cerovski-Darriau, H Petliak, V Zaliva, JD Stock AGU Fall Meeting Abstracts 2020, EP051-04, 2020 | | 2020 |
Sarah LabordeAustralian Rivers Institute, Griffith UniversityGeverifieerd e-mailadres voor griffith.edu.au
