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Microwave Emissivity Studies of Land Cover around Kanakapura Region Using High Spatial Resolution SAPHIR

  • M. P. VasudhaEmail author
  • G. Raju
Research Article
  • 27 Downloads

Abstract

Land emissivity sensed within a suitable range of wavelengths by microwave radiometer is useful to deduce land surface temperature and land surface emissivity. Brightness temperature measurements by space-borne microwave sensors have been utilized to determine land surface emissivity for the study of climatology, hydrological and agricultural applications. Currently, application of sounder data is gaining attention, in analyzing land surface characteristic features especially due to the higher spatial resolution, in general. In the present work, an attempt is made to obtain land surface emissivity from the six channels of SAPHIR (Sondeur Atmospherique du Profil d Humidit Intertropicale par Radiometrie), sensor with special reference to bare land and south Western Ghats of India during pre-monsoon and post-monsoon seasons. The innovation of the present analysis is to demonstrate the possibility of estimating and retrieving surface parameters from emissivity values retrieved from brightness temperature measured from SAPHIR sounder with channel 6 of 183.31 ± 11.0 GHz over selected study area with various surface conditions. Further, the present analysis relates to application of emissivity values retrieved from brightness temperature measured from SAPHIR sounder with channel 6, i.e., 183.31 ± 11.0 GHz for the study of vegetation, climatology and agricultural applications.

Keywords

Land surface emissivity Megha-Tropiques SAPHIR SSM/I Brightness temperature 

References

  1. Antony, T., Suresh Raju, C., Mathew, N., Saha, K., & Krishna Moorthy, K. (2013). A detailed study of land surface microwave emissivity over the Indian subcontinent. IEEE Transactions on Geoscience and Remote Sensing, 52(6), 3604–3612.CrossRefGoogle Scholar
  2. Antony, T., Suresh Raju, C., Renju, R., Mathew, N., & Krishna Moorthy, K. (2018). Microwave emissivity of arid regions at 10 GHz-potential for subsurface studies. International Journal of Remote Sensing.  https://doi.org/10.1080/01431161.2018.1458345
  3. Bhateja, V., Tripathi, A., & Gupta, A. (2014). An improved local statistics filter for denoising of SAR images. Recent Advances in Intelligent Informatics Advances in Intelligent Systems and Computing, 235, 23–29.CrossRefGoogle Scholar
  4. Bhateja, V., Tripathi, A., Gupta, A., & Lay-Ekuakille, A. (2015). Speckle suppression in SAR images employing modified anisotropic diffusion filtering in wavelet domain for environment monitoring. Measurement, 74, 246–254.CrossRefGoogle Scholar
  5. Cheng, J., Liang, S., Yao, Y., Ren, B., Shi, L., & Liu, H. (2014). A comparative study of three land surface broadband emissivity datasets from satellite data. Journal of Remote Sensing, 6, 111–134.CrossRefGoogle Scholar
  6. Choudhury, B. J., Schmugge, T. J., & Mo, T. (1982). A parameterization of effective soil temperature for microwave emission. Journal of Geophysical Research: Oceans, 87(C2), 1301–1304.CrossRefGoogle Scholar
  7. Jones, A. S., & Vonder Haar, T. H. (1997). Retrieval of microwave surface emittance over land using coincident microwave and infrared satellite measurements. Journal of Geophysical Research, 102(D12), 13609–13626.CrossRefGoogle Scholar
  8. Karbour, F., Gérard, E., & Florence, R. (2006). Microwave land emissivity and skin temperature for AMSU-A and -B assimilation over land. Quarterly Journal of the Royal Meteorological Society, 132, 2333–2355.CrossRefGoogle Scholar
  9. Karbour, F., Prigent, C., Eymard, L., & Pardo, J. R. (2005). Microwave land emissivity calculations using AMSU measurements. IEEE Transactions on Geoscience and Remote Sensing, 43(5), 948–956.CrossRefGoogle Scholar
  10. Kelly, G., & Bauer, P. (2000). The use of AMSU-A surface channels to obtain surface emissivity over land, snow and ice for numerical weather prediction. In Eleventh international conference on TOVS study, Hungary.Google Scholar
  11. Leia, F., Crow, W. T., Shen, H., Su, C.-H., Holmes, T. R. H., Parinussa, R. M., et al. (2018). Assessment of the impact of spatial heterogeneity on microwave satellite soil moisture periodic error. Remote Sensing of Environment, 205, 85–99.CrossRefGoogle Scholar
  12. Moncet, J.-L., et al. (2011). Land surface microwave emissivities derived from AMSR-E and MODIS measurements with advanced quality control. Journal of Geophysical Research: Atmospheres, 116(D16), 1–20.CrossRefGoogle Scholar
  13. Norman, J. M., & Becker, F. (1995). Terminology in thermal infrared remote sensing of natural surfaces. Agricultural and Forest Meteorology, 77, 153–166.CrossRefGoogle Scholar
  14. Prigent, C., Rossow, W. B., & Matthews, E. (1997). Microwave land surface emissivities estimated from SSM/I observations. Journal of Geophysical Research, 102, 21867–21890.CrossRefGoogle Scholar
  15. Snyder, W. C., Wan, Z., Zhang, Y., & Feng, Y.-Z. (1998). Classification-based emissivity for land surface temperature measurement from space. International Journal of Remote Sensing, 19, 2753–2774.CrossRefGoogle Scholar
  16. Sobrino, J. A., & Raissouni, N. (2000). Toward remote sensing methods for land cover dynamic monitoring: Application to Morocco. International Journal of Remote Sensing, 21, 353–366.CrossRefGoogle Scholar
  17. Suresh Raju, C., Antony, T., Mathew, N., Uma, K. N., & Krishna Moorthy, K. (2013). MT-MADRAS brightness temperature analysis for terrain characterization and land surface microwave emissivity estimation. Current Science, 104(12), 1643–1649.Google Scholar
  18. Ullaby, F. T., & Long, D. G. (2014). Microwave remote sensing: Active and passive (Vol. III). Boston: Addision-Wesley Publishing.Google Scholar
  19. Vasudha, M. P., & Raju, G. (2017). Observation of cyclone occurred in Arabian Sea and Bay of Bengal from SAPHIR sensor data. International Journal of Applied Engineering Research, 12(22), 12821–12832.Google Scholar
  20. Vasudha, M. P., & Raju, G. (2018). Monitoring of tropical cyclone formation, growth and dissipation by using SAPHIR sensor. MAUSAM, 69(2), 209–218.Google Scholar
  21. Weng, F., Yan, B., & Grody, N. (2001). A microwave land emissivity model. Journal of Geophysical Research, 106(D17), 20115–20123.CrossRefGoogle Scholar

Copyright information

© Indian Society of Remote Sensing 2018

Authors and Affiliations

  1. 1.Department of Electronics and Communication Engineering, School of Engineering and TechnologyJAIN (Deemed-to-be-University)BangaloreIndia

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