Mr. Sushil Kumar Joshi Profile

Sushil Kumar Joshi

at Indian Institute of Remote Sensing

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Author

Publications (6)

SPIE Journal Paper | 26 May 2017

Performance of PolSAR backscatter and PolInSAR coherence for scattering characterization of forest vegetation using single pass X-band spaceborne synthetic aperture radar data

Sushil Kumar Joshi, Shashi Kumar

JARS, Vol. 11, Issue 02, 026022, (May 2017) https://doi.org/10.1117/12.10.1117/1.JRS.11.026022

KEYWORDS: Synthetic aperture radar, Backscatter, Scattering, Vegetation, X band, Polarimetry, Interferometry, Data acquisition, Polarization

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SPIE Journal Paper | 2 January 2017

Spaceborne PolInSAR tomography for vertical profile retrieval of forest vegetation

Sushil Kumar Joshi, Shashi Kumar

JARS, Vol. 11, Issue 01, 016001, (January 2017) https://doi.org/10.1117/12.10.1117/1.JRS.11.016001

KEYWORDS: Tomography, Synthetic aperture radar, Backscatter, Vegetation, Fourier transforms, Scattering, Radar, Interferometry, Reflectivity, Polarimetry

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Proceedings Article | 11 May 2016 Paper

PolInSAR tomography for vertical profile retrieval of forest vegetation using spaceborne SAR data

Sushil Joshi, Shashi Kumar, Shefali Agrawal, Ho Dinh

Proceedings Volume 9877, 987709 (2016) https://doi.org/10.1117/12.2228068

KEYWORDS: Synthetic aperture radar, Vegetation, Interferometry, Backscatter, Synthetic aperture radar, Vegetation, Polarimetry, Fourier transforms, Signal processing, Radar, Reflectivity

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Proceedings Article | 5 May 2016 Paper

Semi-empirical modelling for forest above ground biomass estimation using hybrid and fully PolSAR data

Kiledar Tomar, Shashi Kumar, Valentyn Tolpekin, Sushil Joshi

Proceedings Volume 9877, 987729 (2016) https://doi.org/10.1117/12.2223639

KEYWORDS: Data modeling, Scattering, Modeling, Carbon, Synthetic aperture radar, Vegetation, Electromagnetic scattering, RGB color model, Polarization, Polarimetry, Clouds

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Forests act as sink of carbon and as a result maintains carbon cycle in atmosphere. Deforestation leads to imbalance in global carbon cycle and changes in climate. Hence estimation of forest biophysical parameter like biomass becomes a necessity. PolSAR has the ability to discriminate the share of scattering element like surface, double bounce and volume scattering in a single SAR resolution cell. Studies have shown that volume scattering is a significant parameter for forest biophysical characterization which mainly occurred from vegetation due to randomly oriented structures. This random orientation of forest structure causes shift in orientation angle of polarization ellipse which ultimately disturbs the radar signature and shows overestimation of volume scattering and underestimation of double bounce scattering after decomposition of fully PolSAR data. Hybrid polarimetry has the advantage of zero POA shift due to rotational symmetry followed by the circular transmission of electromagnetic waves. The prime objective of this study was to extract the potential of Hybrid PolSAR and fully PolSAR data for AGB estimation using Extended Water Cloud model. Validation was performed using field biomass. The study site chosen was Barkot Forest, Uttarakhand, India. To obtain the decomposition components, m-alpha and Yamaguchi decomposition modelling for Hybrid and fully PolSAR data were implied respectively. The RGB composite image for both the decomposition techniques has generated. The contribution of all scattering from each plot for m-alpha and Yamaguchi decomposition modelling were extracted. The R2 value for modelled AGB and field biomass from Hybrid PolSAR and fully PolSAR data were found 0.5127 and 0.4625 respectively. The RMSE for Hybrid and fully PolSAR between modelled AGB and field biomass were 63.156 (t ha-1) and 73.424 (t ha-1) respectively. On the basis of RMSE and R2 value, this study suggests Hybrid PolSAR decomposition modelling to retrieve scattering element for AGB estimation from forest.

Proceedings Article | 5 May 2016 Paper

Performance of PolSAR backscatter and PolInSAR coherence for scattering characterization of forest vegetation using TerraSAR-X data

Sushil Joshi, Shashi Kumar, Shefali Agrawal

Proceedings Volume 9877, 987707 (2016) https://doi.org/10.1117/12.2223898

KEYWORDS: Scattering, Synthetic aperture radar, Backscatter, Polarimetry, Interferometry, Vegetation, Polarization, Data acquisition, Coherence (optics), Radar

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Proceedings Article | 2 May 2016 Paper

PolSAR calibration and reconstruction of hybrid polarimetric RISAT-1 data for pseudo quad-pol decomposition: a comparison with quad-pol

Shashi Kumar, Vivek Gupta, Pratyusha Gonnuru, Sushil Kumar Joshi

Proceedings Volume 9881, 98812C (2016) https://doi.org/10.1117/12.2225425

KEYWORDS: Scattering, Polarimetry, Calibration, Synthetic aperture radar, Reconstruction algorithms, Synthetic aperture radar, Polarization, Data modeling, Backscatter, Modeling, Light scattering

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Showing 5 of 6 publications

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