A Microwave Scattering Model for Simulating the C-Band SAR Backscatter of Wheat Canopy
American Journal of Remote Sensing
Volume 7, Issue 1, June 2019, Pages: 13-24
Received: Jul. 11, 2019;
Accepted: Jul. 31, 2019;
Published: Sep. 20, 2019
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Wenjia Yan, Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai, China
Yuan Zhang, Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai, China; Institute of Eco-Chongming, East China Normal University, Shanghai, China
Tianpeng Yang, Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai, China
Xiaohui Liu, Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
Accurate simulation of microwave scattering characteristics of wheat canopy can provide valuable insights into the scattering mechanisms of wheat crops. In this study, a wheat canopy scattering model (WCSM) was developed on a basis of first-order microwave radiative transfer equation. Several WCSM inputs, including wheat canopy and soil parameters, were measured in situ at the time (or near the time) of the satellite observation. The backscattering coefficients of wheat fields were then simulated at various incident angles and polarization modes. Four C-band quad-polarized (Radarsat-2 and Gaofen-3) SAR data were used to evaluate the WCSM performance in four key growth stages of winter wheat from stem elongation to ripening in 2017. Results showed that the WCSM simulated backscattering coefficients of wheat fields with error lower than 1.8 dB. This study demonstrates that the proposed WCSM is effective in characterizing the C-band backscatter features of wheat crops for various growth phases. It also indicated that the operational potential of C-band satellite SAR systems such as the Radarsat-2 and the China Gaofen-3 SAR in monitoring wheat growth for food safety in important agricultural regions.
A Microwave Scattering Model for Simulating the C-Band SAR Backscatter of Wheat Canopy, American Journal of Remote Sensing.
Vol. 7, No. 1,
2019, pp. 13-24.
Godfray, H. C. J., J. R. Beddington, I. R. Crute, L. Haddad, D. Lawrence, J. F. Muir, J. Pretty, S. Robinson, S. M. Thomas and C. Toulmin (2010). Food security: the challenge of feeding 9 billion people”. Science 327, 812-818.
Woodhouse, I. H. (2006). Introduction to microwave remote sensing. Boca Raton: Taylor & Francis.
Liu, C., J. L. Shang, P. W. Vachon and H. Mcnairn (2013). Multiyear crop monitoring using polarimetric Radarsat-2 data. IEEE Transactions on Geoscience and Remote Sensing 51, 2227-2240.
Bargiel, D. (2017). A new method for crop classification combining time series of radar images and crop phenology information. Remote Sensing of Environment 198, 369-383.
Song, Y. and J. Wang (2019). Mapping winter wheat planting area and monitoring its phenology using Sentinel-1 backscatter time series. Remote Sensing 11, 1-13.
Hosseini, M. and H. Mcnairn (2017). Using multi-polarization C- and L-band synthetic aperture radar to estimate biomass and soil moisture of wheat fields. International Journal of Applied Earth Observation and Geoinformation 58, 50-64.
Pichierri, M., I. Hajnsek, S. Zwieback and B. Rabus (2018). On the potential of polarimetric SAR interferometry to characterize the biomass, moisture and structure of agricultural crops at L-, C- and X-bands. Remote Sensing of Environment 204, 596-616.
Wang, H. Q., R. Magagi and K. Goita (2018). Potential of a two-component polarimetric decomposition at C-band for soil moisture retrieval over agricultural ﬁelds. Remote Sensing of Environment 217, 38-51.
Mcnairn, H. and B. Brisco (2004). The application of C-band polarimetric SAR for agriculture: a review. Canadian Journal of Remote Sensing, 30, 525-542.
Macelloni, G., S. Paloscia, P. Pampaloni, F. Marliani and M. Gai (2001). The relationship between the backscattering coefficient and the biomass of narrow and broad leaf crops. IEEE Transactions on Geoscience and Remote Sensing 39, 873-884.
Brown, S. C. M., S. Quegan, K. Morrison, J. C. Bennett and G. Cookmartin (2003). High-resolution measurements of scattering in wheat canopies-implications for crop parameter retrieval. IEEE Transactions on Geoscience and Remote Sensing 41, 1602-1610.
Mattia, F., T. Le Toan, G. Picard, F. I. Posa, A. D'Alessio, C. Notarnicola, A. M. Gatti, M. Rinaldi, G. Satalino and G. Pasquariello (2003). Multitemporal C-band radar measurements on wheat fields. IEEE Transactions on Geoscience and Remote Sensing 41, 1551-1560.
Jia, M., L. Tong, Y. Zhang and Y. Chen (2013). Multitemporal radar backscattering measurement of wheat fields using multifrequency (L, S, C, and X) and full-polarization. Radio Science 48, 471-481.
Balenzano, A., F. Mattia, G. Satalino and M. W. J. Davidson (2011). Dense temporal series of C- and L-band SAR data for soil moisture retrieval over agricultural crops. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 4, 439-450.
Fontanelli, G., S. Paloscia, M. Zribi and A. Chahbi (2013). Sensitivity analysis of X-band SAR to wheat and barley leaf area index in the Merguellil Basin. Remote Sensing Letters 4, 1107-1116.
Liao, C., J. Wang, J. Shang, X. Huang, J. Liu and T. Huffman (2018). Sensitivity study of Radarsat-2 polarimetric SAR to crop height and fractional vegetation cover of corn and wheat. International Journal of Remote Sensing 39, 1475-1490.
EI Hajj, M., N. Baghdadi, H. Bazzi and M. Zribi (2019). Penetration analysis of SAR signals in the C and L bands for wheat, maize, and grasslands. Remote Sensing 11, 1-14.
Attema, E. P. W. and F. T. Ulaby (1978). Vegetation modeled as a water cloud. Radio Science 13, 357-364.
Champion, I., L. Prevot and G. Guyot (2000). Generalized semi-empirical modelling of wheat radar response. International Journal of Remote Sensing 21, 1945-1951.
Kweon, S. K. and Y. Oh (2015). A modified water-cloud model with leaf angle parameters for microwave backscattering from agricultural fields. IEEE Transactions on Geoscience and Remote Sensing 53, 2802-2809.
He, L., L. Tong, Y. Li, Y. Chen, L. Tan and C. Guo (2016). Polarimetric analysis of radar backscatter from ground-based scatterometers and wheat biomass monitoring with advanced synthetic aperture radar images. Journal of Applied Remote Sensing 10, 026008.
Han, D., H. Yang, C. Qiu, G. Yang, E. Chen, Y. Du, W. Yang and C. Zhou (2019). Estimating wheat biomass from GF-3 data and a polarized water cloud model. Remote Sensing Letters 10, 234-243.
Toure, A., K. P. B. Thomson, G. Edwards, R. J. Brown and B. G. Brisco (1994). Adaptation of the MIMICS backscattering model to the agricultural context-wheat and canola at L and C bands. IEEE Transactions on Geoscience and Remote Sensing 32, 47-61.
Bracaglia, M., P. Ferrazzoli and L. Guerriero (1995). A fully polarimetric multiple scattering model for crops. Remote Sensing of Environment 54, 170-179.
Della Vecchia, A., L. Guerriero, I. Bruni and P. Ferrazzoli (2006). Hollow cylinder microwave model for stems. Journal of Electromagnetic Waves and Applications 20, 301-318.
Karam, M. A. and A. K. Fung (1988). Electromagnetic scattering from a layer of finite length, randomly oriented, dielectric, circular cylinders over a rough interface with application to vegetation. International Journal of Remote Sensing 9, 1109-1134.
Cookmartin, G., P. Saich, S. Quegan, R. Cordey, P. Burgess-Allen and A. Sowter (2002). Modeling microwave interactions with crops and comparison with ERS-2 SAR observations. IEEE Transactions on Geoscience and Remote Sensing 38, 658-670.
Stiles, J. M. and K. Sarabandi (2000). Electromagnetic scattering from grassland. I. a fully phase-coherent scattering model. IEEE Transactions on Geoscience and Remote Sensing 38, 339-348.
Stiles, J. M., K. Sarabandi and F. T. Ulaby (2000). Electromagnetic scattering from grassland. II. Measurement and modeling results. IEEE Transactions on Geoscience and Remote Sensing 38, 349-356.
Marliani, F., S. Paloscia, P. Pampaloni and J. A. Kong (2002). Simulating coherent backscattering from crops during the growing cycle. IEEE Transactions on Geoscience and Remote Sensing 40, 162-177.
Picard, G. and T. Le Toan (2002). A multiple scattering model for C-band backscatter of wheat canopies. Journal of Electromagnetic Waves and Applications 16, 1447-1466.
Picard, G., T. Le Toan and F. Mattia (2003). Understanding C-band radar backscatter from wheat canopy using a multiple-scattering coherent model. IEEE Transactions on Geoscience and Remote Sensing 41, 1583-1591.
Yan, W., B. Yang and Y. Zhang (2018). Characterizing the C-band backscattering of winter-wheat canopy with a microwave radiative transfer model. In Proceedings of the 7th International Conference on Agro-geoinformatics (Agro-geoinformatics 2018), Hangzhou, China, 6-9 August 2018, pp. 439-444.
Ulaby, F. T. and M. A. El-Rayes (1987). Microwave dielectric spectrum of vegetation - part II: dual-dispersion model. IEEE Transactions on Geoscience and Remote Sensing GE-25, 550-557.
Dobson, M. C. (1985). Microwave dielectric behavior of wet soil-part II: dielectric-mixing models. IEEE Transactions on Geoscience and Remote Sensing GE-23, 35-46.
Chen, K. S., T. D. Wu, L. Tsang and Q. Li (2003). Emission of rough surfaces calculated by the integral equation method with comparison to three-dimensional moment method simulations. IEEE Transactions on Geoscience and Remote Sensing 41, 90-101.
Karam, M. A., A. K. Fung, R. H. Lang and N. S. Chauhan (1992). A microwave scattering model for layered vegetation. IEEE Transactions on Geoscience and Remote Sensing 30, 767-784.
Karam, M. A. and A. K. Fung (1989). Leaf-shape effects in electromagnetic wave scattering from vegetation. IEEE Transactions on Geoscience and Remote Sensing 27, 687-697.
Huang, B., Y. Chen, L. He, L. Tong and Y. Wang (2015). Backscattering modeling of wheat using vector radiative transfer theory. Journal of Applied Remote Sensing 9, 097093.
Della Vecchia, A., P. Ferrazzoli and L. Guerriero (2004). Modelling microwave scattering from long curved leaves. Waves in Random Media 14, S333-S343.
Wegmüller, U., M. Santoro, F. Mattia, A. Balenzano, G. Satalino, P. Marzahn, G. Fischer, R. Ludwig and N. Floury (2011). Progress in the understanding of narrow directional microwave scattering of agricultural fields. Remote Sensing of Environment 115, 2423-2433.
Zribi, M., O. Taconet, V. Ciarletti and D. Vidal-Madjar (2002). Effect of row structures on radar microwave measurements over soil surface. International Journal of Remote Sensing 23, 5211-5224.
Beaudoin, A., T. Le Toan and Q. H. J. Gwyn (1990). SAR observations and modeling of the C-band backscatter variability due to multiscale geometry and soil moisture. IEEE Transactions on Geoscience and Remote Sensing 28, 886-895.
Argenti, F., A. Lapini, T. Bianchi and L. Alparone (2013). A tutorial on speckle reduction in synthetic aperture radar images. IEEE Transactions on Geoscience and Remote Sensing 1, 6-35.