| 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 | 100 | 2023 |
| 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 | 52 | 2016 |
| Utilizing flood inundation observations to obtain floodplain topography in data-scarce regions A Shastry, M Durand Frontiers in Earth Science 6, 243, 2019 | 32 | 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 | 26 | 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 | 21 | 2020 |
| 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 | 12 | 2020 |
| 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 |
| 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 | 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 | 6 | 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 | 6 | 2018 |
| 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 |
| 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 | 2 | 2022 |
| 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 | 2 | 2017 |
| Mapping Bedrock Outcrops in the Sierra Nevada Mountains (California, USA) Using Machine Learning A Shastry, C Cerovski-Darriau, B Coltin, JD Stock Remote Sensing 17 (3), 457, 2025 | 1 | 2025 |
| Improving Topography Data for Flood Modeling: A Case Study in the Logone Floodplain AR Shastry The Ohio State University, 2019 | 1 | 2019 |
| Predicting streamflow drought in the conterminous United States using machine learning and a donor-gage approach, 1982–2020 A Heldmyer, R Sando, C Simeone, M Wieczorek, S Hamshaw, P Goodling, ... EGUsphere 2026, 1-33, 2026 | | 2026 |
| Pine Death in the Anthropocene WM Hammond, M Kant, M Mantova, G Sapés, ME Fernández, J Gyenge, ... AGU Fall Meeting Abstracts 2023 (2214), B31J-2214, 2023 | | 2023 |
| Data from" Mapping bedrock outcrops in the Sierra Nevada Mountains (California, USA) using machine learning" AR Shastry, CR Cerovski-Darriau US Geological Survey (USGS) Data Release, 1093, 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 |
Sarah LabordeAustralian Rivers Institute, Griffith UniversityVerified email at griffith.edu.au
