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Apoorva Shastry
Apoorva Shastry
U.S. Geological Survey | Universities Space Research Association
Verified email at osu.edu
Title
Cited by
Cited by
Year
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
452016
Utilizing flood inundation observations to obtain floodplain topography in data-scarce regions
A Shastry, M Durand
Frontiers in Earth Science 6, 243, 2019
262019
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
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
132020
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
112023
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
102018
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
82020
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
42020
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
42018
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
32020
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
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
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