Analysis of SCATSAT-1 Gamma-0 and Sigma-0 products for agricultural land use applications

Authors

  • MAHESH PALAKURU Malla Reddy University, Hyderabad 500100, India
  • SIRISHA ADAMALA ICAR- National Bureau of Soil Survey & Land use Planning, Nagpur, Maharashtra, 440033, India
  • KHADAR BABU S. K. Vellore Institute of Technology, Vellore - 632 014, Tamil Nadu, India
  • BABY Y. Annamacharya Institute of Technology and Science, Renigunta Mandal, Tirupati, Andhra Pradesh 517520

DOI:

https://doi.org/10.54386/jam.v27i1.2836

Keywords:

SCATSAT-1, Sigma0, Gamma0, Agriculture

References

Adamala S, Srivastava A, Bachina HB, and Palakuru M. (2020). Evaluation of VIC, ANN and Empirical Models for Estimating Daily Reference Evapotranspiration. Indian J. Ecol., 47:29–36.

Choudhury I, and Chakraborty M. (2006). SAR sig nature investigation of rice crop using RADARSAT data. Intern. J. Remote Sens., 27:519–534.

Gamba, P., and Dell'Acqua, F. (2009). "Urban remote sensing using radar data: Techniques and applications." IEEE Trans. Geosci. Remote Sens., 47(8):2942-2955.

Lopez-sanchez JM, Member S, Cloude SR, and Ballester-berman JD. (2012). Rice Phenology Monitoring by Means of SAR Polarimetry at X-Band. IEEE Trans. Geosci. Remote Sens., 50:2695–2709.

Palakuru M, Adamala S, and Bachina HB. (2020a). Modeling yield and backscatter using satellite derived biophysical variables of rice crop based on Artificial Neural Networks. J. Agrometeorol.. 22:41–47. https://doi.org/10.54386/jam.v22i1.120

Palakuru M, Adamala S, and Bachina HB. (2020b). Spatial mapping of rice crop evapotranspiration in godavari command area. Indian J. Ecol.. 47:361–364.

Palakuru M, Khadar Babu SK, and Chaube NR. (2021). Exploring potential of C band synthetic aperture radar imagery to investigate rice crop growth mechanism and productivity. Environ. Sci. Poll. Res., 28:42001–42013.

Palakuru M, and Yarrakula K. (2020). A comparison study of space borne Dual Polarization Difference Index (Sea Wind SCATSAT-1 Scatterometer) and NDVI (MODIS) on paddy crop growth. Indian J. Geom. Sci., 49(9): 1580-1586

Palakuru M, and Yarrakula K. (2019). Study on paddy phenomics ecosystem and yield estimation using space-borne multi sensor remote sensing data. J. Agrometeorol. 21 (2) : 171-175, https://doi.org/10.54386/jam.v21i2.228

Parekh RA, Mehta RL, and Vyas A. (2016). Rabi cropped area forecasting of parts of Banaskatha District , Gujarat using MRS RISAT-1 SAR data. The Intern. Archives Photog., Remote Sens. Spatial Inform. Sci., XLI:1413–1416.

Rucha B. Dave, Koushik Saha, Amit Kushwaha, Manisha Vithalpura, Nidhin P., and Abishek Murugesan. (2023). Analysing the potential of polarimetric decomposition parameters of Sentinel–1 dual-pol SAR data for estimation of rice crop biophysical parameters. J. Agrometeorol, 25(1): 105–112. https://doi.org/10.54386/jam.v25i1.2039

Murugesan, A., Dave, R., Kushwaha, A., Pandey, D. K., and Saha, K. (2023). Surface soil moisture estimation in bare agricultural soil using modified Dubois model for Sentinel-1 C-band SAR data. J. Agrometeorol, 25(4): 517–524. https://doi.org/10.54386/jam.v25i4.2303.

Singh, S., R. K. Tiwari, H. S. Gusain and V. Sood, (2020). Potential Applications of SCATSAT-1 Satellite Sensor: A Systematic Review, IEEE Sens. J., 20(21): 12459-12471, doi: 10.1109/JSEN.2020.3002720.

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Published

01-03-2025

How to Cite

PALAKURU, M., ADAMALA, S., S. K., K. B., & Y. , B. (2025). Analysis of SCATSAT-1 Gamma-0 and Sigma-0 products for agricultural land use applications. Journal of Agrometeorology, 27(1), 107–109. https://doi.org/10.54386/jam.v27i1.2836

Issue

Vol. 27 No. 1 (2025): March

Section

Short Communication

Categories

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Copyright (c) 2025 MAHESH PALAKURU, SIRISHA ADAMALA, KHADAR BABU S. K., BABY Y.

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