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shruti upadhyaya
shruti upadhyaya
Assistant Professor at IIT Hyderabad and Academic Affilate at ARRC, University of Oklahoma
Verified email at ou.edu
Title
Cited by
Cited by
Year
Investigating the performance of satellite and reanalysis rainfall products at monthly timescales across different rainfall regimes of Ethiopia
E Lemma, S Upadhyaya, R Ramsankaran
International Journal of Remote Sensing 40 (10), 4019-4042, 2019
502019
Classification of gaps at uncontrolled intersections and midblock crossings using support vector machines
DS Pawar, GR Patil, A Chandrasekharan, S Upadhyaya
Transportation research record 2515 (1), 26-33, 2015
332015
Modified-INSAT Multi-Spectral Rainfall Algorithm (M-IMSRA) at climate region scale: Development and validation
S Upadhyaya, R Ramsankaran
Remote Sensing of Environment 187, 186-201, 2016
192016
Meteorological drought monitoring across the main river basins of Ethiopia using satellite rainfall product
E Lemma, S Upadhyaya, R Ramsankaran
Environmental Systems Research 11 (1), 1-15, 2022
182022
On the propagation of satellite precipitation estimation errors: from passive microwave to infrared estimates
SA Upadhyaya, PE Kirstetter, JJ Gourley, RJ Kuligowski
Journal of Hydrometeorology 21 (6), 1367-1381, 2020
182020
Multi-Index Rain Detection: A New Approach for Regional Rain Area Detection from Remotely Sensed Data
S Upadhyaya, R Ramsankaran
Journal of Hydrometeorology 15 (6), 2314-2330, 2014
162014
Classifying precipitation from GEO Satellite Observations: Diagnostic Model
SA Upadhyaya, PE Kirstetter, RJ Kuligowski, M Searls
Quarterly Journal of the Royal Meteorological Society 147 (739), 3318-3334, 2021
112021
Meteorological Drought Monitoring Across Different Rainfall Regimes of Ethiopia Using Chirps V2-Rainfall Data
EL Goshu, S Upadhyaya, R Ramsankaran
38th Asian Conference on Remote Sensing,(ACRS 2017), New Delhi, India, 2017
92017
Review of Satellite Remote Sensing Data Based Rainfall Estimation Methods
S Upadhyaya, R Ramsankaran
Proceedings of HYDRO, 1-15, 2013
92013
SUPPORT VECTOR MACHINE (SVM) BASED RAIN AREA DETECTION FROM KALPANA-1 SATELLITE DATA.
S Upadhyaya, R Ramsankaran
ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information …, 2014
72014
Comprehensive inter-comparison of INSAT multispectral rainfall algorithm estimates and TMPA 3B42-RT V7 estimates across different climate regions of India during southwest …
S Upadhyaya, R Ramsankaran
Environmental Monitoring and Assessment 190 (1), 45, 2018
62018
Towards Improved Precipitation Estimation with the GOES‐16 Advanced Baseline Imager: Algorithm and Evaluation
SA Upadhyaya, PE Kirstetter, RJ Kuligowski, M Searls
Quarterly Journal of the Royal Meteorological Society, 2022
42022
Classifying precipitation from GEO satellite observations: Prognostic model
S Upadhyaya, PE Kirstetter, R Kuligowski, J Gourley, H Grams
Quarterly Journal of the Royal Meteorological Society 147 (739), 3394-3409, 2021
42021
Exploring the Temporal Information From GEO Satellites for Estimating Precipitation With Convolutional Neural Networks
SA Upadhyaya, PE Kirstetter, RJ Kuligowski, M Searls
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022
32022
Error modelling for modified-INSAT multi-spectral rainfall algorithm
RR Shruti Upadhyaya
International Journal of Remote Sensing 39 (6), 1836-1852, 2018
32018
Error Modeling of the Modified-INSAT Multi Spectral Rainfall Algorithm
SA Upadhyaya, R Ramsankaran, AA Patil
AGU Fall Meeting Abstracts, 2016
32016
Machine Learning-based Probabilistic Precipitation Estimation with the GOES-16 Advanced Baseline Imager
SA Upadhyaya, PE Kirstetter, RJ Kuligowski
EGU23, 2023
2023
Exploring the Spatio-Temporal Information from GEO Satellites for Estimating Precipitation with 3-D Convolutional Neural Networks
SA Upadhyaya, P Kirstetter, R Kuligowski
103rd AMS Annual Meeting, 2023
2023
Probabilistic Precipitation Estimation with the GOES16 Advanced Baseline Imager: A Machine Learning Approach
SA Upadhyaya, PE Kirstetter, RJ Kuligowski
AGU Fall Meeting Abstracts 2022, GC32G-0699, 2022
2022
A quest to fully understand precipitation: Novel methods to characterize, model, and detect precipitation processes
V Maggioni, SA Upadhyaya, V Petković, G Mascaro
Frontiers in Climate 4, 992356, 2022
2022
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