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shruti upadhyaya
shruti upadhyaya
Assistant Professor at IIT Hyderabad and Academic Affilate at ARRC, University of Oklahoma
Verifierad e-postadress på ou.edu
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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
432019
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
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
172020
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
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
112022
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
102021
Review of Satellite Remote Sensing Data Based Rainfall Estimation Methods
S Upadhyaya, R Ramsankaran
Proceedings of HYDRO, 1-15, 2013
92013
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
82017
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
62014
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
52018
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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Artiklar 1–20