Aplicación de satélite SAR, mediante el método Cloude Pottier para la clasificación de suelos.
Keywords:
SAR, Sentinel, Cloude-Pottier, Polarimetry, SatelliteAbstract
This research whose purpose is to apply the Cloude_Pottier polarimetry method in a Synthetic Aperture Radar (SAR) image, Sentinel 1, for the classification of soils with Sentinel-1 radar images in Band C and which belongs to the European Space Agency (ESA). The methods and techniques that were applied to each radar image consisted of classifying the angle of incidence, intensity, backscatter or others for each area under study. The classification method was used as: H-Alpha, in the Cloude-Pottier method. Some simulation algorithms were also used to correlate and characterize wetlands as water, lagoons, vegetables or others. The classification results in the polarimetric entropy parameter and polarimetric alpha parameter, which are the randomness of the data in a radar image and the dispersion mechanisms of radar waves in a Sentinel-1 image respectively. This method allows efficient classification and allows forecasts to be made over time. Likewise, the nine classes have certain characteristics according to the area of study.
References
Ampere, A.-M., & Ampère, J. J. (1875). Andre-marie ampere et jean-jacques ampère correspondance et souvenirs (de 1805 a 1864) (Vol. 1). J. Hetzel.
Baptista, M. C. (2003). Uma análise do campo de vento de superf´ıcie sobre o oceano atlântico tropical e sul usando dados do escaterometro do ers. Sao Jose dos Campos.
Belchansky, G. I., & Douglas, D. C. (2002). Seasonal comparisons of sea ice concentra- tion estimates derived from ssm/i, okean, and radarsat data. Remote Sensing of
Boerner, W.-M., Yan, W.-L., Xi, A.-Q., & Yamaguchi, Y. (1992). Basic concepts of radar polarimetry. In Direct and inverse methods in radar polarimetry (pp. 155–245). Springer.
Bruder, J., Carlo, J., Gurney, J., & Gorman, J. (2003). Ieee standard for letter desig- nations for radar-frequency bands. IEEE Aerospace & Electronic Systems Society, 1–3.
Cable, J. W., Kovacs, J. M., Shang, J., & Jiao, X. (2014). Multi-temporal polarime- tric radarsat-2 for land cover monitoring in northeastern Ontario, canada. Remote Sensing, 6 (3), 2372–2392.
Caceres, M. (2013). Protección y conservación de los bofedales y humedales en el peru,bolivia, espaa, paraguay y venezuela.
Cassidy, D. C., Holton, G. J., & James, F. (2002). Rutherford understanding physics, birkh¨auser. pp. 339.
Castillo, M., & Arbiol, R. (1995). Obtenci´on de modelos numéricos de elevaciones con interferometría´ıa sar. Revista de la Asociación Española de Teledetecci´on, 4 , 4–11.
Chan, Y. K., & Koo, V. C. (2008). An introduction to synthetic aperture radar (sar).Progress In Electromagnetics Research, 2 , 27–60.
Chan, Y. K., & Lim, S. Y. (2008). Synthetic aperture radar (sar) signal generation.Progress In Electromagnetics Research, 1 , 269–290.
Clark, R. (1999). Spectroscopy and principles of spectroscopy, manual of remote sensing.
John Wiley and Sons, Inc.Aguas subterraneas. Engenharia Hidrologica-Colecao ABRH de Recursos Hıdricos, Editora da UFRJ , 2 , 404.
Clemmow, P. C. (2013). The plane wave spectrum representation of electromagnetic fields: International series of monographs in electromagnetic waves. Elsevier.
Cloude, S. (2009). Polarisation: applications in remote sensing. OUP Oxford.
Cloude, S., & Papathanassiou, K. (1997). Polarimetric optimization in radar interfero- metry. Electronics Letters, 33 (13), 1176–1178.
Cloude, S. R., Goodenough, D. G., & Chen, H. (2012). Compact decomposition theory for l-band satellite radar applications. In 2012 ieee international geoscience and remote sensing symposium (pp.5097–5100).
Cloude, S. R., & Pottier, E. (1996). A review of target decomposition theorems in radar polarimetry. IEEE transactions on geoscience and remote sensing, 34 (2), 498–518.
Cloude, S. R., & Pottier, E. (1997). An entropy based classification scheme for land ap- plications of polarimetric sar. IEEE transactions on geoscience and remote sensing, 35 (1), 68–78.
Huayanay Villar, J. L. (2021). Aplicación del método de polarimetría Cloude_Pottier en una imagen de radar Sentinel 1, para la clasificación de suelos en la microcuenca Apacheta, región Ayacucho.
