Dr. Jyoti Sharma | Soil Mapping | Best Researcher Award
Jyoti Sharma | Soil Mapping | Best Researcher Award
Dr. Jyoti Sharma, an accomplished physicist and remote sensing expert, specializes in soil mapping and land surface parameter estimation. Currently serving as a Project Scientist at the India Meteorological Department, New Delhi, she has significant expertise in satellite data processing, microwave observations, and hydrological applications. Her research advances soil moisture retrieval techniques, contributing to improved environmental monitoring and sustainable resource management.
Profile
Summary:
Dr. Jyoti Sharma is a highly skilled researcher specializing in soil mapping, soil moisture retrieval, and remote sensing applications. With a Ph.D. in Physics from IIT BHU and extensive experience as a Project Scientist at the India Meteorological Department, she has demonstrated expertise in satellite data processing, radar analysis, and hydrological modeling. Her research contributions, including multiple publications in top-tier journals and an international award recognition, highlight her significant impact on advancing soil mapping and environmental monitoring techniques.
Education
Jyoti Sharma holds a PhD in Physics from the Indian Institute of Technology (IIT), BHU, Varanasi, with research focused on the retrieval of soil moisture and biophysical parameters using microwave spaceborne observations. She completed her Master of Science in Physics and Bachelor of Science in Physics, Mathematics, and Chemistry from M. J. P. Rohilkhand University, Bareilly.
Experience
She is currently working as a Project Scientist at the India Meteorological Department, New Delhi. Previously, she served as a Research Associate in the Hydrology Process Group at the National Centre for Earth Science Studies, Thiruvananthapuram, Kerala.
Research Focus
Her research primarily focuses on soil moisture retrieval, land surface parameter estimation, and biophysical characterization using microwave remote sensing data. She integrates satellite observations with advanced data processing techniques for hydrological and environmental applications.
Skills
Her expertise includes programming in Python, R, and MATLAB, along with proficiency in LU/LC mapping, image processing, data analysis, satellite and radar data processing, and Doppler Weather Radar analysis. She is skilled in working with multiple satellite datasets including SMAP, Aqua and Terra MODIS, Sentinel-1 SAR, Sentinel-2, Sentinel-3, LANDSAT, TRMM, and IMERGE. She is experienced with remote sensing and GIS software such as ENVI, ArcGIS, SNAP, QGIS, and Google Earth Engine, and is also proficient in LaTeX, Microsoft Office, Origin, and HDFview. She has hands-on experience with instruments including LI-2200C Plant Canopy Analyzer, AccuPAR LP-80 Ceptometer, SPAD Chlorophyll Content Meter, and Hydra Go soil moisture sensor.
Awards
She received the Best Poster Award in the “Retrieval and Assessment” category at the International Soil Moisture School (ISMS) organized by IEEE-GRSS at IIT Bombay. She also qualified CSIR-NET JRF in Physical Science.
Publications
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Development of a new vegetation modulated soil moisture index for the spatial disaggregation of SMAP soil moisture data product
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Authors: J. Sharma, R. Prasad, P.K. Srivastava, S.A. Yadav, S.K. Singh, B. Verma
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Year: 2024
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Journal: Physics and Chemistry of the Earth, Parts A/B/C
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Incorporation of first-order backscattered power in Water Cloud Model for improving the Leaf Area Index and Soil Moisture retrieval using dual-polarized Sentinel-1 SAR data
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Authors: Shubham Kumar Singh, Rajendra Prasad, Prashant K. Srivastava, Suraj A. Yadav, Vijay P. Yadav, Jyoti Sharma
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Year: 2023
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Journal: Remote Sensing of Environment
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Challenges in Radar remote sensing
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Authors: Jyoti Sharma, Prashant K. Srivastava, Rajendra Prasad, Sumit Chaudhary Kumar, Suraj A. Yadav, Swati Suman, Varsha Pandey, Rishabh Singh, Dileep Kumar Gupta
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Year: 2022
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Journal: Radar Remote Sensing
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Far-field bistatic scattering simulation for rice crop biophysical parameters retrieval using modified radiative transfer model at X- and C-band
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Authors: S.A. Yadav, R. Prasad, V.P. Yadav, B. Verma, S.K. Singh, J. Sharma, P.K. Srivastava
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Year: 2022
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Journal: Remote Sensing of Environment
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Dr. Jyoti Sharma is highly suitable for the Best Researcher Award. With continued advancements in global collaborations and leadership roles, she has the potential to further excel as a leading scientist in soil and environmental research.