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Dr. Rajendra Prasad
Professor
Department of Physics Engineering,IIT (BHU)
rprasad.app@iitbhu.ac.in
9415780999
Area of Interest: 
Soil moisture retrieval algorithms and spatial disaggregation using radar and radiometer data. Land use/land cover, landscape dynamics and land surface temperature based on machine learning techniques using multi-sensor earth observation dataset.

1. Established a new remote sensing laboratory in the department. Developed C-, L- and X- Bands Scatterometer (Microwave Analog Signal Generator model Agilent E8257D PSG & Microwave power sensor models: Keysight U2002H and Agilent E9327A EPM ), Chlorophyll content meter (Minolta SPAD 502), Leaf area index meter (LICOR LAI- 2200C Plant canopy Analyzer), surface roughness profiler, satellite image processing software (ENVI-SARscape for visible, infrared and microwave satellite images) for classification of crops and their biophysical parameters estimation, high configured computer, online UPS, weighing balance, oven etc.

2. Developed monostatic and bistatic radar scatterometer for studying microwave scattering mechanism with different targets under fully polarimetric modes.Land use land cover change detection and urban sprawl mapping and land surface temperature are being studied using satellite images by remote sensing technique.

  • A mini project on the topic “Crop signature study and soil moisture estimation through remote sensing
  • Major project on the topic “Crop signature study by microwave remote sensing with soft computing techniques”. Sanctioned by IIT(BHU), SGF Grant, 2014.
  • Minor Project on the topic “Land use land cover change detection and urban sprawl mapping of Varanasi district using satellite images by remote sensing techniques”. Sanctioned by IIT(BHU), Extended Summer Project, 2015.
 

 

  1. P. Kumar, R. Prasad, D.K. Gupta, V.N. Mishra, A.K. Vishwakarma, V.P. Yadav, R. Bala, A. Choudhary, R. Avtar (2017) Estimation of winter wheat crop growth parameters using time series Sentinel-1A SAR data. Geocarto International, 1-15.
  2. V.N. Mishra, R. Prasad, P. Kumar, D.K. Gupta, P.K. Srivastava (2017) Dual-polarimetric C-band SAR data for land use/land cover classification by incorporating textural information. Environmental Earth Sciences, 76: 1-16.
  3. V.N. Mishra, R. Prasad, P. Kumar, D.K. Gupta, S. Agrawal, A. Gangwal (2017) Assessment of spatio-temporal changes in land use/land cover over a decade (2000-2014) using earth observation datasets: a case study of Varanasi district, India. Iranian Journal of Science and Technology Transactions of Civil Engineering. (In Press)
  4. P.K. Rai, V.N. Mishra, S. Singh, R. Prasad, M.S. Nathawat (2017) Remote sensing-based study for evaluating the changes in glacial area:  A case study from Himachal Pradesh, India, Earth Systems and Environment, 1(1):1-13.
  5. D.K. Gupta, R. Prasad, P. Kumar, A.K. Vishwakarma, P.K. Srivastava (2017) Vegetation water content retrieval using scatterometer data at X-band, Geocarto International, 1-10.
  6. D.K. Gupta, R. Prasad, P. Kumar, A.K. Vishwakarma (2017) Soil moisture retrieval using ground based bistatic scatterometer data at X-band. Advances in Space Research, 59: 996-1007.
  7. P. Kumar, R. Prasad, A. Choudhary, V.N. Mishra, D.K. Gupta, P.K. Srivastava (2017) A statistical significance of differences in classification accuracy of crop types using different classification algorithms. Geocarto International, 32: 206-224.
  8. P. Kumar, R. Prasad, D.K. Gupta, A.K. Vishwakarma, A. Choudhary (2017) Retrieval of rice crop growth variables using multi-temporal RISAT-1 remotely sensed data.  International Journal of Russian Agricultural Sciences, (accepted for publication)
  9. P. Kumar, R. Prasad, A. Choudhary, D.K. Gupta, V.N. Mishra, A.K. Vishwakarma, P.K. Srivastava (2017) Comprehensive evaluation of soil moisture retrieval models under different crop cover types using Sentinel-1A data. Journal of Applied Remote Sensing (Under Revision).
  10. V.N. Mishra, R. Prasad, P. Kumar, P.K. Srivastava, P.K. Rai (2017) A knowledge based decision tree approach for mapping spatial distribution of rice crop using C-band SAR derived information. Journal of Applied Remote Sensing (Under Revision).
  11. P. K. Srivastava, D. Han, A. Yaduvanshi, G.P.Petropoulos, S.K. Singh, R. Prasad (2017) Evapotranspiration retrievals from a mesoscale model based weather variables for Soil Moisture Deficit estimation. International journal of Sustainability (Under revision)
  12. A.K. Vishwakarma, R. Prasad, D.K. Gupta, P. Kumar, V.N Mishra (2017) Ground based bistatic scatterometer measurement of ladyfinger crop at X-band. Journal of Indian Society of Remote Sensing. (Under Review)
  13. V.N. Mishra, P.K. Rai, P. Kumar, R. Prasad (2016) Evaluation of land use/land cover classification accuracy using multi-resolution remote sensing images. Forum Geografic, 15: 45-53.
  14. D.K. Gupta, R. Prasad, P. Kumar, V.N. Mishra (2016) Estimation of crop variables using bistatic scatterometer data and artificial neural network trained by empirical models. Computers and Electronics in Agriculture, 123: 64-73.
  15. P. Kumar, R. Prasad, V.N. Mishra, D.K. Gupta & S.K. Singh, (2016) Artificial neural network for crop classification using C-band RISAT-1 satellite datasets. International Journal of Russian Agricultural Sciences. 42: 281-284.
  16. P. Kumar, D. K. Gupta, V. N. Mishra,  R. Prasad (2015) Comparison of support vector machine, artificial neural network, and spectral angle mapper algorithms for crop classification using LISS IV data. International Journal of Remote Sensing, 36(6): 1604-1617.
  17. P. Kumar, R. Prasad, D.K. Gupta, V.N. Mishra, and A. Choudhary (2015) Support vector machine for classification of various crops using high resolution LISS-IV Imagery. Bulletin of Environmental and Scientific Research, 4(3):1-5.
  18. D.K. Gupta, P. Kumar, V.N. Mishra, R. Prasad, P.K.S. Dikshit, S.B. Dwivedi, A. Ohri, R.S. Singh, V. Srivastava (2015) Bistatic measurements for the estimation of rice crop variables using artificial neural network. Advances in Space research, 55(6): 1613-1623.
  19. A. Pandey, R. Prasad, V. P. Singh, S.K. Jha, K.K. Shukla (2013) Crop Parameters Estimation by Fuzzy Inference System Using X-band Scatterometer Data. Advances in Space Research, 51: 905–911.
  20. R. Prasad, A. Pandey, K.P. Singh, V.P. Singh, R.K. Mishra, D. Singh (2012) Retrieval of Spinach Crop Parameters By Microwave Remote Sensing With Back Propagation Artificial Neural Networks: A Comparison of Different Transfer Functions, Advances in Space Research, 50:363–370.
  21. A. Pandey, K.B. Thapa, R. Prasad, K.P. Singh (2012) General Regression Neural Network and Radial Basis Neural Network for the Estimation of Crop Variables of Lady Finger. Journal of Indian Society of Remote Sensing, DOI 10.1007/s12524-011-0197-9.
  22. Pandey, R. Prasad, J.K. Srivastava, V.P. Singh, (2012) Retrieval of Soil Moisture by Artificial Neural Network Using X-band Ground Based Data. International Journal of Russian Agricultural Sciences, 38(3): 230–233.
  23. R. Prasad, (2011) Estimation of crop variables of kidney-bean using ground based scatterometer data at 9.89 GHz. International Journal of Remote Sensing, 32(1): 31–48.
  24. A. Pandey, R. Prasad, S.K. Jha (2010) Classification of two Different Rough Soil Surface by Using Microwave X-band Data Through Support Vector Machine (SVM). International Journal of Russian Agricultural Sciences, 36(2):141-145.
  25. A. Pandey, S.K. Jha, R. Prasad (2010) Retrieval of Crop Parameters of Spinach by Radial Basis Neural Network Approach Using X-band Scatterometer Data. International Journal of Russian Agricultural Sciences, 36(4): 312–315.
  26. A. Pandey, S. K. Jha, J. K. Srivastava R. Prasad (2010), Artificial Neural Network for the Estimation of Soil Moisture and Surface Roughness. International Journal of Russian Agricultural Sciences, 36(6): 428–432.
  27. R. Prasad, A. Pandey, S. K. Jha, K.P. Singh, G.S. Yadav (2010) Classification of Fields having Different Soil Moisture Content By SVM Technique using Bistatic Scatterometer. International Journal of Recent Research in Science and Technology, 3(1):105-113.
  28. R. Prasad (2009) Retrieval of Crop Variables with Field-based X-band Microwave Remote Sensing of Ladyfinger. Advances in Space Research, 43: 1356–1363.
  29. R. Prasad, R. Kumar D. Singh (2009) A Radial Basis Function Approach to Retrieve Soil Moisture and Crop Variables from X-band Scatterometer Observations. Progress in Electromagnetics Research B, 12: 201–217.
  30. D. Singh, N. K. Choudhary, K. C. Tiwari, R. Prasad (2009) Shape of Shallow Buried Metallic Objects at X-band using ANN Image Analysis Techniques Recognition. Progress in Electromagnetics Research B,13: 257–273.
  31. R. Prasad, D. Singh, K.P. Singh (2009) Microwave Response of Vegetation Lady's finger by Bistatic Scatterometer, Asian Journal of Physics 17: 303-306. ISBN No.: 0971-3093

We are doing collaborative work with Space Application Centre, ISRO, Ahmedabad on
1. ScatSat-1 calibration and validation and
2. NASA-ISRO Synthetic Aperture Radar (NISAR) mission for its calibration and validation on selected sites over India.