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Volumn 55, Issue 6, 2015, Pages 1613-1623

Bistatic measurements for the estimation of rice crop variables using artificial neural network

Author keywords

Crop variables; Feed forward back propagation artificial neural network; Rice crop; Scattering coefficient; X band

Indexed keywords

BACKPROPAGATION; CHLOROPHYLL; CROPS; ECOLOGY; FORWARD SCATTERING; METEOROLOGICAL INSTRUMENTS; NEURONS; OPTICAL BISTABILITY; POLARIZATION; REGRESSION ANALYSIS;

EID: 84925445146     PISSN: 02731177     EISSN: 18791948     Source Type: Journal    
DOI: 10.1016/j.asr.2015.01.003     Document Type: Article
Times cited : (27)

References (38)
  • 1
    • 59849099595 scopus 로고    scopus 로고
    • Monitoring of the rice cropping system in the Mekong delta using ENVISAT/ASAR dual polarization data
    • A. Bouvet, T. Le Toan, and N. Lam-Dao Monitoring of the rice cropping system in the Mekong delta using ENVISAT/ASAR dual polarization data IEEE Trans. Geosci. Remote Sens. 47 2 2009 518 526
    • (2009) IEEE Trans. Geosci. Remote Sens. , vol.47 , Issue.2 , pp. 518-526
    • Bouvet, A.1    Le Toan, T.2    Lam-Dao, N.3
  • 3
    • 33646682573 scopus 로고    scopus 로고
    • Neural network integrated approach for rice crop monitoring
    • C. Chen, and H.A. Mcnairn Neural network integrated approach for rice crop monitoring Int. J. Remote Sens. 27 7 2006 1367 1393
    • (2006) Int. J. Remote Sens. , vol.27 , Issue.7 , pp. 1367-1393
    • Chen, C.1    McNairn, H.A.2
  • 4
    • 0000818362 scopus 로고
    • Senescence of rice leaves XXXI. Changes of chlorophyll, protein, and polyamine contents and ethylene production during senescence of a chlorophyll deficient mutant
    • C.T. Chen, C.C. Li, and C.H. Kao Senescence of rice leaves XXXI. Changes of chlorophyll, protein, and polyamine contents and ethylene production during senescence of a chlorophyll deficient mutant J. Plant Growth Regul. 10 1991 201 205
    • (1991) J. Plant Growth Regul. , vol.10 , pp. 201-205
    • Chen, C.T.1    Li, C.C.2    Kao, C.H.3
  • 5
    • 0030724173 scopus 로고    scopus 로고
    • Canopy transmittance inversion using a line quantum probe for a row crop
    • S. Cohen, R.S. Rao, and Y. Cohen Canopy transmittance inversion using a line quantum probe for a row crop Agric. For. Meteorol. 86 1997 225 234
    • (1997) Agric. For. Meteorol. , vol.86 , pp. 225-234
    • Cohen, S.1    Rao, R.S.2    Cohen, Y.3
  • 6
    • 77950216355 scopus 로고    scopus 로고
    • Assessing foliar chlorophyll contents with the SPAD-502 chlorophyll meter: A calibration test with thirteen tree species of tropical rain forest in French Guiana
    • S. Coste, C. Baraloto, C. Leroy, E. Marcon, A. Renaud, A.D. Richardson, J.-C. Roggy, H. Schimann, J. Uddling, and B.H. Erault Assessing foliar chlorophyll contents with the SPAD-502 chlorophyll meter: a calibration test with thirteen tree species of tropical rain forest in French Guiana Ann. For. Sci. 67 2010 607
    • (2010) Ann. For. Sci. , vol.67 , pp. 607
    • Coste, S.1    Baraloto, C.2    Leroy, C.3    Marcon, E.4    Renaud, A.5    Richardson, A.D.6    Roggy, J.-C.7    Schimann, H.8    Uddling, J.9    Erault, B.H.10
  • 8
    • 49549099150 scopus 로고    scopus 로고
    • Microwave scattering models for cylindrical vegetation components
    • P. De Matthaeis, and R.H. Lang Microwave scattering models for cylindrical vegetation components Prog. Electromagn. Res. 55 2005 307 333
    • (2005) Prog. Electromagn. Res. , vol.55 , pp. 307-333
    • De Matthaeis, P.1    Lang, R.H.2
  • 9
    • 0028601441 scopus 로고
    • Effect of scattering mechanisms on polarimetric features of crops and trees
    • P. De Matthaeis, G. Schiavon, and D. Solimini Effect of scattering mechanisms on polarimetric features of crops and trees Int. J. Remote Sens. 15 14 1994 2917 2930
    • (1994) Int. J. Remote Sens. , vol.15 , Issue.14 , pp. 2917-2930
    • De Matthaeis, P.1    Schiavon, G.2    Solimini, D.3
  • 11
    • 1942439885 scopus 로고    scopus 로고
    • Comparison of maximum likelihood classification method with supervised artificial neural network algorithms for land use activities
    • F.S. Erbek, C. Ozkan, and M. Taberner Comparison of maximum likelihood classification method with supervised artificial neural network algorithms for land use activities Int. J. Remote Sens. 25 2004 1733 1748
    • (2004) Int. J. Remote Sens. , vol.25 , pp. 1733-1748
    • Erbek, F.S.1    Ozkan, C.2    Taberner, M.3
  • 13
    • 0037300063 scopus 로고    scopus 로고
    • Retrieving soil moisture and agricultural variables by microwave radiometry using neural networks
    • F.D. Frate, P. Ferrazzoli, and G. Schiavon Retrieving soil moisture and agricultural variables by microwave radiometry using neural networks Remote Sens. Environ. 84 2003 174 183
    • (2003) Remote Sens. Environ. , vol.84 , pp. 174-183
    • Frate, F.D.1    Ferrazzoli, P.2    Schiavon, G.3
  • 16
    • 0036322873 scopus 로고    scopus 로고
    • Season-long daily measurements of multi-frequency (Ka, Ku, X, C, and L) and full-polarization backscatter signatures over paddy rice field and their relationship with biological variables
    • Y. Inoue, T. Kurosu, H. Maeno, S. Uratsuka, T. Kozu, K. Dabrowska-Zielinska, and J. Qi Season-long daily measurements of multi-frequency (Ka, Ku, X, C, and L) and full-polarization backscatter signatures over paddy rice field and their relationship with biological variables Remote Sens. Environ. 81 2002 194 204
    • (2002) Remote Sens. Environ. , vol.81 , pp. 194-204
    • Inoue, Y.1    Kurosu, T.2    Maeno, H.3    Uratsuka, S.4    Kozu, T.5    Dabrowska-Zielinska, K.6    Qi, J.7
  • 17
    • 0031106095 scopus 로고    scopus 로고
    • Biomass retrieval from high dimensional active/passive remote sensing data by using artificial neural networks
    • Y.Q. Jin, and C. Liu Biomass retrieval from high dimensional active/passive remote sensing data by using artificial neural networks Int. J. Remote Sens. 18 4 1997 971 979
    • (1997) Int. J. Remote Sens. , vol.18 , Issue.4 , pp. 971-979
    • Jin, Y.Q.1    Liu, C.2
  • 18
    • 57349178491 scopus 로고    scopus 로고
    • Quantifying sub-pixel signature of paddy rice field using an artificial neural network
    • M. Karkee, B.L. Steward, L. Tang, and S.A. Aziz Quantifying sub-pixel signature of paddy rice field using an artificial neural network Comput. Electron. Agric. 65 2009 65 76
    • (2009) Comput. Electron. Agric. , vol.65 , pp. 65-76
    • Karkee, M.1    Steward, B.L.2    Tang, L.3    Aziz, S.A.4
  • 19
    • 84864298059 scopus 로고    scopus 로고
    • Surface parameter estimation using bistatic polarimetric X-band measurement
    • K.B. Khadhra, T. Boerner, D. Hounam, and M. Chandra Surface parameter estimation using bistatic polarimetric X-band measurement Prog. Electromagn. Res. B 39 2012 197 223
    • (2012) Prog. Electromagn. Res. B , vol.39 , pp. 197-223
    • Khadhra, K.B.1    Boerner, T.2    Hounam, D.3    Chandra, M.4
  • 20
    • 0033717282 scopus 로고    scopus 로고
    • Radar backscattering measurement of rice crop using X-band scatterometer
    • S. Kim, B. Kim, Y. Kong, and Y.S. Kim Radar backscattering measurement of rice crop using X-band scatterometer IEEE Trans. Geosci. Remote Sens. 38 3 2000 1467 1471
    • (2000) IEEE Trans. Geosci. Remote Sens. , vol.38 , Issue.3 , pp. 1467-1471
    • Kim, S.1    Kim, B.2    Kong, Y.3    Kim, Y.S.4
  • 21
    • 67649763489 scopus 로고    scopus 로고
    • Radar backscattering measurement of a paddy rice field using multi-frequency (L, C and X) and full-polarization
    • Y.H. Kim, S.Y. Hong, and H. Lee Radar backscattering measurement of a paddy rice field using multi-frequency (L, C and X) and full-polarization IGARSS 4 2008 553 556
    • (2008) IGARSS , vol.4 , pp. 553-556
    • Kim, Y.H.1    Hong, S.Y.2    Lee, H.3
  • 22
    • 70349229673 scopus 로고    scopus 로고
    • Evaluating the condition of a mangrove forest of the Mexican Pacific based on an estimated leaf area index mapping approach
    • J.M. Kovacs, J.M.L. King, F.F. De Santiago, and F. Flores-Verdugo Evaluating the condition of a mangrove forest of the Mexican Pacific based on an estimated leaf area index mapping approach Environ. Monit. Assess. 157 2009 137 149
    • (2009) Environ. Monit. Assess. , vol.157 , pp. 137-149
    • Kovacs, J.M.1    King, J.M.L.2    De Santiago, F.F.3    Flores-Verdugo, F.4
  • 24
    • 84865800119 scopus 로고    scopus 로고
    • Polarization signature analysis of paddy rice in Southern China
    • K. Li, F. Zhang, Y. Shao, A. Cai, J. Yuan, and R. Touzi Polarization signature analysis of paddy rice in Southern China Can. J. Remote Sens. 37 1 2011 122 135
    • (2011) Can. J. Remote Sens. , vol.37 , Issue.1 , pp. 122-135
    • Li, K.1    Zhang, F.2    Shao, Y.3    Cai, A.4    Yuan, J.5    Touzi, R.6
  • 25
    • 49549125441 scopus 로고    scopus 로고
    • Multi-angular scatterometer measurements for various stages of rice growth
    • K.S. Lim, V.C. Koo, and H.T. Ewe Multi-angular scatterometer measurements for various stages of rice growth Prog. Electromagn. Res. 83 2008 385 396
    • (2008) Prog. Electromagn. Res. , vol.83 , pp. 385-396
    • Lim, K.S.1    Koo, V.C.2    Ewe, H.T.3
  • 27
    • 79953883500 scopus 로고    scopus 로고
    • Use of a SPAD-502 meter to measure leaf chlorophyll concentration in Arabidopsis Thaliana
    • Q. Ling, W. Huang, and P. Jarvis Use of a SPAD-502 meter to measure leaf chlorophyll concentration in Arabidopsis Thaliana Photosynth. Res. 107 2011 209 214
    • (2011) Photosynth. Res. , vol.107 , pp. 209-214
    • Ling, Q.1    Huang, W.2    Jarvis, P.3
  • 28
    • 52949152787 scopus 로고    scopus 로고
    • Analysis of INSAR sensitivity to forest structure based on radar backscattering model
    • D.W. Liu, Y. Du, G.Q. Sun, W.Z. Yan, and B.I. Wu Analysis of INSAR sensitivity to forest structure based on radar backscattering model Prog. Electromagn. Res. 84 2008 149 171
    • (2008) Prog. Electromagn. Res. , vol.84 , pp. 149-171
    • Liu, D.W.1    Du, Y.2    Sun, G.Q.3    Yan, W.Z.4    Wu, B.I.5
  • 29
    • 33846439201 scopus 로고
    • Calibration of the Minota SPAD-502 leaf chlorophyll meter
    • J. Markwell, J.C. Osterman, and J.L. Mitchell Calibration of the Minota SPAD-502 leaf chlorophyll meter Photosynth. Res. 46 1995 467 472
    • (1995) Photosynth. Res. , vol.46 , pp. 467-472
    • Markwell, J.1    Osterman, J.C.2    Mitchell, J.L.3
  • 30
    • 67949106463 scopus 로고    scopus 로고
    • Polarimetric backscattering coefficient of flooded rice fields at L- and C-bands: Measurements, modeling and data analysis
    • Y. Oh, S.Y. Hong, Y. Kim, and J.Y. Hong Polarimetric backscattering coefficient of flooded rice fields at L- and C-bands: measurements, modeling and data analysis IEEE Trans. Geosci. Remote Sens. 47 2009 2714 2721
    • (2009) IEEE Trans. Geosci. Remote Sens. , vol.47 , pp. 2714-2721
    • Oh, Y.1    Hong, S.Y.2    Kim, Y.3    Hong, J.Y.4
  • 31
    • 63649092985 scopus 로고    scopus 로고
    • Retrieval of crop variables with field-based X-band microwave remote sensing of ladyfinger
    • R. Prasad Retrieval of crop variables with field-based X-band microwave remote sensing of ladyfinger Adv. Space Res. 43 2009 1356 1363
    • (2009) Adv. Space Res. , vol.43 , pp. 1356-1363
    • Prasad, R.1
  • 32
    • 61849178148 scopus 로고    scopus 로고
    • A radial basis function approach to retrieve soil moisture and crop variables from X-band scatterometer observations
    • R. Prasad, R. Kumar, and D. Singh A radial basis function approach to retrieve soil moisture and crop variables from X-band scatterometer observations Prog. Electromagn. Res. 12 2009 201 217
    • (2009) Prog. Electromagn. Res. , vol.12 , pp. 201-217
    • Prasad, R.1    Kumar, R.2    Singh, D.3
  • 34
    • 69949096591 scopus 로고    scopus 로고
    • Application of neural network with error correlation and time evolution for retrieval of soil moisture and other vegetation variables
    • D. Singh, V. Srivastava, B. Pandey, and D. Bhimsaria Application of neural network with error correlation and time evolution for retrieval of soil moisture and other vegetation variables Prog. Electromagn. Res. B 15 2009 245 265
    • (2009) Prog. Electromagn. Res. B , vol.15 , pp. 245-265
    • Singh, D.1    Srivastava, V.2    Pandey, B.3    Bhimsaria, D.4
  • 35
    • 0027664618 scopus 로고
    • LAI inversion using a back propagation neural network trained with a multiple scattering model
    • J.A. Smith LAI inversion using a back propagation neural network trained with a multiple scattering model IEEE Trans. Geosci. Remote Sens. 31 5 1993 1102 1106
    • (1993) IEEE Trans. Geosci. Remote Sens. , vol.31 , Issue.5 , pp. 1102-1106
    • Smith, J.A.1
  • 36
    • 4444224968 scopus 로고    scopus 로고
    • A comparison of empirical and neural network approaches for estimating corn and soybean leaf area index from Landsat ETM+ imagery
    • C. Walthall, W. Dulaney, M. Anderson, J. Norman, H. Fang, and S. Liang A comparison of empirical and neural network approaches for estimating corn and soybean leaf area index from Landsat ETM+ imagery Remote Sens. Environ. 92 2004 465 474
    • (2004) Remote Sens. Environ. , vol.92 , pp. 465-474
    • Walthall, C.1    Dulaney, W.2    Anderson, M.3    Norman, J.4    Fang, H.5    Liang, S.6
  • 38
    • 85009525890 scopus 로고    scopus 로고
    • Comparison between radial basis function neural network and regression model for estimation of rice biophysical parameters using remote sensing
    • Y. Xiao-Hua, W. Fu-Min, H. Jing-Feng, W. Jian-Wen, W. Ren-Chao, S. Zhang-Quan, and W. Xiu-Zhen Comparison between radial basis function neural network and regression model for estimation of rice biophysical parameters using remote sensing Pedosphere 19 2 2009 176 188
    • (2009) Pedosphere , vol.19 , Issue.2 , pp. 176-188
    • Xiao-Hua, Y.1    Fu-Min, W.2    Jing-Feng, H.3    Jian-Wen, W.4    Ren-Chao, W.5    Zhang-Quan, S.6    Xiu-Zhen, W.7


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