Integrating remotely sensed leaf area index and leaf nitrogen accumulation with RiceGrow model based on particle swarm optimization algorithm for rice grain yield assessment

Journal of Applied Remote Sensing

Volumn 8, Issue 1, 2014, Pages

  Wang, Hang ^a   Zhu, Yan ^a   Li, Wenlong ^a   Cao, Weixing ^a   Tian, Yongchao ^a  

^a NANJING AGRICULTURAL UNIVERSITY   (China)

Author keywords

parameter initialization; particle swarm optimization; remote sensing; RiceGrow model; yield prediction

Indexed keywords

CROPS; FORECASTING; GRAIN (AGRICULTURAL PRODUCT); NITROGEN; REMOTE SENSING;

NEW PARTICLE SWARM OPTIMIZATION; OPTIMIZATION ALGORITHMS; PARAMETER INITIALIZATION; PARTICLE SWARM OPTIMIZATION ALGORITHM; SHUFFLED COMPLEX EVOLUTION; SPACEBORNE REMOTE SENSING; UNIVERSITY OF ARIZONA; YIELD PREDICTION;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84897795249     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.JRS.8.083674     Document Type: Article

References (40)

1. FAO, "Food and agricultural commodities production," http://faostat.fao.org/site/339/default.aspx, 2009, (22 September 2011).
2. R. Singh et al., "Small area estimation of crop yield using remote sensing satellite data," Int. J. Remote Sens. 23(1), 49-56 (2002), http://dx.doi.org/10.1080/01431160010014756. (Pubitemid 34068194)
3. W. G. M. Bastiaanssen and S. Ali, "A new crop yield forecasting model based on satellite measurements applied across the Indus Basin, Pakistan," Agric. Ecosyst. Environ. 94(3), 321-340 (2003), http://dx.doi.org/10.1016/S0167-8809(02)00034-8. (Pubitemid 36199048)
4. S. Moulin, A. Bondeau, and R. Delecolle, "Combining agricultural crop models and satellite observations: from field to regional scales," Int. J. Remote Sens. 19(6), 1021-1036 (1998), http://dx.doi.org/10.1080/ 014311698215586.
5. T. Hodges et al., "Using the CERES-Maize model to estimate production for the U.S. Cornbelt," Agric. For. Meteorol. 40(4), 293-303 (1987), http://dx.doi.org/10.1016/0168-1923(87)90043-8.
6. M. Cabelguenne et al., "Calibration and validation of EPIC for crop rotations in southern France," Agric. Syst. 33(2), 153-171 (1990), http://dx.doi.org/10.1016/0308-521X(90)90078-5. (Pubitemid 20395608)
7. R. A. Brown and N. J. Rosenberg, "Sensitivity of crop yield and water use to change in a range of climatic factors and CO2 concentrations: a simulation study applying EPIC to the central USA," Agric. For. Meteorol. 83(3-4), 171-203 (1997), http://dx.doi.org/10.1016/S0168-1923(96)02352-0.
8. S. Asseng et al., "Performance of the APSIM-wheat model in Western Australia," Field Crop Res. 57(2), 163-179 (1998), http://dx.doi.org/10. 1016/S0378-4290(97)00117-2. (Pubitemid 28259834)
9. B. Simane et al., "Application of a crop growth model (SUCROS-87) to assess the effect of moisture stress on yield potential of durum wheat in Ethiopia," Agric. Syst. 44, 337-353 (1994), http://dx.doi.org/10.1016/0308- 521X(94)90226-6.
10. R. Faivre et al., "Spatialising crop models," Agronomie 24, 205-217 (2004), http://dx.doi.org/10.1051/agro:2004016. (Pubitemid 39048132)
11. R. Delecolle et al., "Remote sensing and crop production models: present trends," ISPRS J. Photogramm. 47(2-3), 145-161 (1992), http://dx.doi.org/10.1016/0924-2716(92)90030-D.
12. P. C. Doraiswamy et al., "Crop condition and yield simulations using Landsat and MODIS," Remote Sens. Environ. 92(4), 548-559 (2004), http://dx.doi.org/10.1016/j.rse.2004.05.017. (Pubitemid 39204636)
13. O. Abou-Ismail, J. F. Huang, and R. C. Wang, "Rice yield estimation by integrating remote sensing with rice growth simulation model," Pedosphere 14, 519-526 (2004). (Pubitemid 39437825)
14. L. Dente et al., "Assimilation of leaf area index derived from ASAR and MERIS data into CERES-Wheat model to map wheat yield," Remote Sens. Environ. 112(4), 1395-1407 (2008), http://dx.doi.org/10.1016/j.rse.2007.05.023. (Pubitemid 351375231)
15. J. Q. Ren et al., "Integrating remotely sensed LAI with EPIC model based on global optimization algorithm for regional crop yield assessment," in Proc. of IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS), pp. 2147-2150 (2010).
16. H. L. Fang, S. L. Liang, and G. Hoogenboom, "Integration of MODIS LAI and vegetation index products with the CSM-CERES-Maize model for corn yield estimation," Int. J. Remote. Sens. 32(4), 1039-1065 (2011), http://dx.doi.org/10.1080/01431160903505310.
17. Y. Huang et al., "Predicting winter wheat growth based on integrating remote sensing and crop growth modeling techniques," Acta Ecologica Sinica 31, 1073-1084 (2011).
18. Q. Y. Duan, S. Sorooshian, and V. K. Gupta, "Optimal use of the SCE-UA global optimization method for calibrating watershed models," J. Hydrol. 158(3-4), 265-284 (1994), http://dx.doi.org/10.1016/0022-1694(94)90057- 4.
19. G. X. Bai, "China environmental and disaster monitoring and forecasting small satellite-HJ-1A/B," Aerosp. China 5, 10-15 (2009).
20. RSI, ENVI: Environment for Visualizing Images, Version 4.3. Research Systems Inc., Boulder, Colorado (2006).
21. Y. Shen et al., "Rational consideration about construction land expansion of Changsha urban area in the last ten years," Geogr Geo-Info. Sci. 23, 27-30 (2007).
22. C. Huang, L. S. Davis, and J. R. G. Townshend, "An assessment of support vector machines for land cover classification," Int. J. Remote. Sens. 23(4), 725-749 (2002), http://dx.doi.org/10.1080/01431160110040323. (Pubitemid 34119904)
23. G. M. Foody and A. Mathur, "A relative evaluation of multiclass image classification by support vector machines," IEEE Trans. Geosci. Remote Sens. 42(6), 1335-1343 (2004), http://dx.doi.org/10.1109/TGRS.2004. 827257.
24. L. H. Xue et al., "Monitoring leaf nitrogen status in rice with canopy spectral reflectance," Agron. J. 96(1), 135-142 (2004), http://dx.doi.org/10.2134/agronj2004.0135.
25. Y. C. Tian et al., "Quantitative relationships between hyper-spectral vegetation indices and leaf area index of rice," Chinese J. Appl. Ecol. 20(7), 1685-1690 (2009).
26. I. Numata et al., "Evaluation of hyperspectral data for pasture estimate in the Brazilian Amazon using field and imaging spectrometers," Remote Sens. Environ. 112(4), 1569-1583 (2008), http://dx.doi.org/10.1016/j.rse. 2007.08.014. (Pubitemid 351375239)
27. P. D. Jamieson, J. R. Porter, and D. R. Wilson, "A test of the computer simulation model ARCWHEAT1 on wheat crops grown in New Zealand," Field Crops Res. 27(4), 337-350 (1991), http://dx.doi.org/10.1016/0378-4290(91) 90040-3.
28. J. Kennedy and R. Eberhart, "Particle swarm optimization," in IEEE Int. Conf. on Neural Networks Proc. (ICNN 95), pp. 1942-1948 (1995).
29. R. C. Eberhart and Y. H. Shi, "Particle swarm optimization: developments, applications and resources," in IEEE Proc. Congress on Evolutionary Computation, Seoul, Vol. 1, pp. 81-86 (2001). (Pubitemid 32806322)
30. Q. Y. Duan, V. K. Gupta, and S. Sorooshian, "Shuffled complex evolution approach for effective and efficient global minimization," J. Optim. Theory Appl. 76(3), 501-521 (1993), http://dx.doi.org/10.1007/BF00939380. (Pubitemid 23643003)
31. Y. X. Zhao, "Study on the method of combination of remote sensing and crop model and its application," Ph.D. Thesis, Peking University (2005). (in Chinese with English abstract).
32. L. Tang et al., "RiceGrow: a rice growth and productivity model," NJAS-Wagen. J. Life Sci. 57(1), 83-92 (2009), http://dx.doi.org/10. 1016/j.njas.2009.12.003.
33. J. Pan, Y. Zhu, andW. Cao, "Modeling plant carbon flow and grain starch accumulation in wheat," Field Crop Res. 101(3), 276-284 (2007), http://dx.doi.org/10.1016/j.fcr.2006.12.005. (Pubitemid 46209559)
34. R. Darvishzadeh et al., "LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements," ISPRS J. Photogramm. 63(4), 409-426 (2008), http://dx.doi.org/10.1016/j.isprsjprs.2008. 01.001.
35. W. Feng et al., "Monitoring leaf nitrogen status with hyperspectral reflectance in wheat," Eur. J. Agron. 28(3), 394-404 (2008), http://dx.doi.org/10.1016/j.eja.2007.11.005.
36. W. A. Dorigo et al., "A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling," Int. J. Appl. Earth Obs. 9(2), 165-193 (2007), http://dx.doi.org/10.1016/j.jag.2006.05. 003. (Pubitemid 46546146)
37. M. Guerif and C. L. Duke, "Adjustment procedures of a crop model to the site specific characteristics of soil and crop using remote sensing data assimilation," Agric. Ecosyst. Environ. 81, 57-69 (2000), http://dx.doi.org/10.1016/S0167-8809(00)00168-7.
38. Y. Jiang et al., "Improved particle swarm optimization for parameter calibration of Xin'anjiang model," J. Hydraul. Eng. 38, 1200-1206 (2007). (Pubitemid 350153154)
39. Y. Yan et al., "Methodology of winter wheat yield prediction based on assimilation of remote sensing data with crop growth model," J. Remote Sens. 10, 804-811 (2006).
40. A. J. W. de Wit and C. A. van Diepen, "Crop model data assimilation with the Ensemble Kalman filter for improving regional crop yield forecasts," Agric. For. Meteorol. 146(1-2), 38-56 (2007), http://dx.doi.org/10.1016/j.agrformet.2007.05.004.