shruti upadhyaya
shruti upadhyaya
Postdoctoral Researcher at CIMMS, University of Oklahoma
Verified email at ou.edu
Title
Cited by
Cited by
Year
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
112015
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
92016
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
82014
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
52019
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
42014
Review of Satellite Remote Sensing Data Based Rainfall Estimation Methods
S Upadhyaya, R Ramsankaran
Proceedings of Hydro, 2013
42013
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
32017
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
22018
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
12020
Error modelling for modified-INSAT multi-spectral rainfall algorithm
RR Shruti Upadhyaya
International Journal of Remote Sensing 39 (6), 1836-1852, 2018
12018
Error Modeling of the Modified-INSAT Multi Spectral Rainfall Algorithm
SA Upadhyaya, R Ramsankaran, AA Patil
AGU Fall Meeting Abstracts, 2016
12016
Statistical and hydrological evaluation of different remotely sensed and reanalysis precipitation products across a Mediterranean watershed (case study: Upper-Sebou, Morocco)
S Nabih, M Chen, SA Upadhyaya, Y Hong, L Benaabidate
AGUFM 2019, H13P-1975, 2019
2019
A New Era of Geostationary Satellites: Towards the next generation of space-based precipitation estimation
SA Upadhyaya, PE Kirstetter, RJ Kuligowski, JJ Gourley
AGUFM 2019, H21E-05, 2019
2019
Investigating the potential of multi-spectral data from the GOES-R satellite for precipitation detection and quantification.
S Upadhyaya, PE Kirstetter, J Gourley
EGUGA, 9049, 2019
2019
Improved TMPA 3B42 estimates across Indian land region using static topographic and climate region information
S Upadhyaya, R Ramsankaran
EGUGA, 391, 2017
2017
Modified-INSAT Multi-Spectral Rainfall Algorithm (M-IMSRA)-A New Satellite Rainfall Estimation Algorithm based on Climatic region
SA Upadhyaya, R Ramsankaran
AGUFM 2015, H13H-1633, 2015
2015
EVALUATION OF REMOTE SENSING BASED NEWLY DEVELOPED RAIN DETECTION INDEX OVER INDIAN REGION
S Upadhyaya, R Ramsankaran
2013
IMPROVING SATELLITE RAINFALL ESTIMATES BY INCORPORATING STATIC TOPOGRAPHICAL FEATURES THROUGH MACHINE LEARNING TECHNIQUE
Y Sharma, S Upadhyaya, R RAAJ
Modified-INSAT Multispectral Rainfall Algorithm (M-IMSRA) for Indian Land Region
S Upadhyaya, R Ramsankaran
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