Sachidananda Mishra, Ph.D.

Affiliations: 
2012 Geosciences Mississippi State University, Starkville, MS, United States 
Area:
Remote Sensing, Water Resource Management
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"Sachidananda Mishra"

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Deepak R. Mishra grad student 2012 Mississippi State University
 (Remote sensing of cyanobacteria in turbid productive waters.)
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Publications

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Lehmann MK, Gurlin D, Pahlevan N, et al. (2023) Author Correction: GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality. Scientific Data. 10: 191
Lehmann MK, Gurlin D, Pahlevan N, et al. (2023) GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality. Scientific Data. 10: 100
Astuti IS, Mishra DR, Mishra S, et al. (2022) Spatio-Temporal Dynamics of Inherent Optical Properties in Oligotrophic Northern Gulf of Mexico Estuaries. Continental Shelf Research. 166: 92-107
Mishra S, Stumpf RP, Schaeffer B, et al. (2021) Evaluation of a satellite-based cyanobacteria bloom detection algorithm using field-measured microcystin data. The Science of the Total Environment. 774: 145462
Mishra S, Stumpf RP, Schaeffer BA, et al. (2019) Measurement of Cyanobacterial Bloom Magnitude using Satellite Remote Sensing. Scientific Reports. 9: 18310
Mishra S, Stumpf RP, Meredith A. (2019) Evaluation of RapidEye data for mapping algal blooms in inland waters International Journal of Remote Sensing. 40: 2811-2829
Chaffin JD, Mishra S, Kane DD, et al. (2019) Cyanobacterial blooms in the central basin of Lake Erie: Potentials for cyanotoxins and environmental drivers Journal of Great Lakes Research. 45: 277-289
Astuti IS, Mishra DR, Mishra S, et al. (2018) Spatio-temporal dynamics of inherent optical properties in oligotrophic northern Gulf of Mexico estuaries Continental Shelf Research. 166: 92-107
Mishra DR, D'Sa EJ, Mishra S. (2016) Preface: Remote sensing of water resources Remote Sensing. 8
Mishra S, Mishra DR, Lee Z. (2014) Bio-Optical Inversion in Highly Turbid and Cyanobacteria-Dominated Waters Ieee Transactions On Geoscience and Remote Sensing. 52: 375-388
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