Dr. Ashim K. Mitra Profile

Dr. Ashim K. Mitra

at Ministry of Earth Sciences

SPIE Involvement:

Conference Program Committee | Author

Proceedings Article | 5 May 2016 Paper

Monitoring of soil wetness variation using satellite microwave observations from the direct broadcast receiving system at IMD

A. Mitra, S. C. Bhan, A. Sharma, Shaliesh Parihar

Proceedings Volume 9877, 98770V (2016) https://doi.org/10.1117/12.2219924

KEYWORDS: Soil science, Microwave radiation, Remote sensing, Satellites, Floods, Meteorology, Earth observing sensors, Electromagnetism, Infrared sensors, Thermography, Vegetation, Data acquisition, Data processing

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Proceedings Article | 2 May 2016 Paper

Site characterization for calibration of radiometric sensors using vicarious method

Shailesh Parihar, L. Rathore, M. Mohapatra, A. K. Sharma, A. Mitra, R. Bhatla, R. Singh, Yogdeep Desai, Shailendra Srivastava

Proceedings Volume 9881, 98811K (2016) https://doi.org/10.1117/12.2223997

KEYWORDS: Calibration, Satellites, Reflectivity, Sensors, Sensor calibration, Ground-based vicarious calibration of satellites, Radiative transfer, Computer simulations, Atmospheric sensing, Atmospheric modeling

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Radiometric performances of earth observation satellite/sensors vary from ground pre-launch calibration campaign to post launch period extended to lifetime of the satellite due to launching vibrations. Therefore calibration is carried out worldwide through various methods throughout satellite lifetime. In India Indian Space Research Organization (ISRO) calibrates the sensor of Resourcesat-2 satellite by vicarious method. One of these vicarious calibration methods is the reflectance-based approach that is applied in this study for radiometric calibration of sensors on-board Resouresat-2 satellite. The results of ground-based measurement of atmospheric conditions and surface reflectance are made at Bap, Rajasthan Calibration/Validation (Cal/Val) site. Cal/Val observations at site were carried out with hyper-spectral Spectroradiometer covering spectral range of 350nm- 2500nm for radiometric characterization of the site. The Sunphotometer/Ozonometer for measuring the atmospheric parameters has also been used. The calibrated radiance is converted to absolute at-sensor spectral reflectance and Top-Of-Atmosphere (TOA) radiance. TOA radiance was computed using radiative transfer model ‘Second simulation of the satellite signal in the solar spectrum’ (6S), which can accurately simulate the problems introduced by the presence of the atmosphere along the path from Sun to target (surface) to Sensor. The methodology for band averaged reflectance retrieval and spectral reflectance fitting process are described. Then the spectral reflectance and atmospheric parameters are put into 6S code to predict TOA radiance which compare with Resourcesat-2 radiance. Spectral signature and its reflectance ratio indicate the uniformity of the site. Thus the study proves that the selected site is suitable for vicarious calibration of sensor of Resourcesat-2. Further the study demonstrates the procedure for similar exercise for site selection for Cal/Val analysis of other satellite over India region.

Proceedings Article | 30 April 2016 Paper

Calibration strategy of INSAT-3D meteorological satellite imager using the moon at IMD, New Delhi

Shailesh Parihar, A. K. Sharma, A. Mitra, M. Mohapatra, L. Rathore, R. Bhatla, R. Singh

Proceedings Volume 9880, 988007 (2016) https://doi.org/10.1117/12.2224543

KEYWORDS: Calibration, Infrared radiation, Meteorological satellites, Satellites, Meteorology, Infrared imaging, Imaging systems, Visible radiation, Data modeling, Atmospheric modeling

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Proceedings Article | 30 April 2016 Paper

Inter-calibration assessment of Kalpana-1 and INSAT-3D satellite using NOAA and METOP satellite data

A. Mitra, A. Sharma, Nitesh Kaushik, Gagandeep Kaur

Proceedings Volume 9880, 988006 (2016) https://doi.org/10.1117/12.2223733

KEYWORDS: Satellites, Calibration, Infrared radiation, Sensors, Climatology, Environmental sensing, Clouds, Meteorological satellites, Meteorology, Satellite imaging

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Conference Committee Involvement (3)

Land Surface and Cryosphere Remote Sensing V

2 December 2024 | Kaohsiung, Taiwan

Land Surface and Cryosphere Remote Sensing IV

25 September 2018 | Honolulu, Hawaii, United States

Land Surface and Cryosphere Remote Sensing III

4 April 2016 | New Delhi, India

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