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.
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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 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.