Dr. Suraj Yadav | Agriculture | Research Excellence Award
Dr. Suraj Yadav | Agriculture | Research Associate at Mississippi State University | United States
Dr. Suraj Yadav is a remote sensing scientist recognized for his impactful contributions to microwave, radar, and satellite-based Earth observation, with a strong focus on vegetation biophysical parameter retrieval, soil moisture estimation, and agro-environmental applications. Dr. Suraj Yadav is currently a Postdoctoral Research Associate at Mississippi State University and holds a verified academic profile with significant citation metrics, including over 210 citations, an h-index of 7, and an i10-index of 6, reflecting the quality and consistency of his research output. Dr. Suraj Yadav received his formal education and advanced research training in geosciences, remote sensing, and related engineering disciplines, where he developed a solid foundation in electromagnetic theory, microwave scattering, and data-driven modeling approaches.
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Featured Publications:
Investigation of optimal vegetation indices for retrieval of leaf chlorophyll and leaf area index using enhanced learning algorithms
– Computers and Electronics in Agriculture, 2022 · 63 Citations
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
– Remote Sensing of Environment, 2023 · 36 Citations
Optimization of dual-polarized bistatic specular scatterometer for studying microwave scattering response and vegetation growth parameter retrieval of paddy crop
– Computers and Electronics in Agriculture, 2020 · 19 Citations
Far-field bistatic scattering simulation for rice crop biophysical parameters retrieval using modified radiative transfer model at X- and C-band
– Remote Sensing of Environment, 2022 · 13 Citations
Improving spatial representation of soil moisture through the incorporation of single-channel algorithm with different downscaling approaches
– IEEE Transactions on Geoscience and Remote Sensing, 2022 · 12 Citations