In-season nitrogen status assessment and yield estimation using hyperspectral vegetation indices in a potato crop

Agronomy Journal

Volumn 107, Issue 4, 2015, Pages 1295-1309

  Morier, T ^a,b   Cambouris, A N ^a   Chokmani, K ^b  

^a AGRICULTURE AND AGRI FOOD CANADA   (Canada)

^b CENTRE EAU TERRE ENVIRONNEMENT   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

SOLANUM TUBEROSUM;

EID: 84935521060     PISSN: 00021962     EISSN: 14350645     Source Type: Journal    
DOI: 10.2134/agronj14.0402     Document Type: Article

References (63)

1. Adams, M.L., W.D. Philpot, and W.A. Norvell. 1999. Yellowness index: An application of spectral second derivatives to estimate chlorosis of leaves in stressed vegetation. Int. J. Remote Sens. 20:3663-3675. doi:10.1080/014311699211264
2. Allaire, S.E., A.N. Cambouris, J.A. Lafond, S.F. Lange, B. Pelletier, and P. Dutilleul. 2014. Spatial variability of potato tuber yield and plant nitrogen uptake related to soil properties. Agron. J. 106:851-859. doi:10.2134/agronj13.0468
3. Bannari, A., H. Asalhi, and P.M. Teillet. 2002. Transformed difference vegetation index (TDVI) for vegetation cover mapping. Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International, Vol. 5. doi:10.1109/ IGARSS.2002.1026867
4. Bannari, A., D. Morin, F. Bonn, and A.R. Huete. 1995. A review of vegetation indices. Remote Sens. Rev. 13:95-120 doi:10.1080/02757259509532298
5. Barnes, E.M., T.R. Clarke, S.E. Richards, P.D. Colaizzi, J. Haberland, M. Kostrzewski, P. Waller, C. Choi, E. Riley, and T. Thompson. 2000. Coincident detection of crop water stress, nitrogen status and canopy density using ground based multispectral data. Proceedings of the 5th International Conference on Precision Agriculture. ASA, Madison, WI.
6. Belanger, G., J.R. Walsh, J.E. Richards, P.H. Milburn, and N. Ziadi. 2000. Yield response of two potato culivars to supplemental irrigation and N fertilization in New Brunswick. Am. J. Potato Res. 77:11-21. doi:10.1007/BF02853657
7. Belanger, G., J.R. Walsh, J.E. Richards, P.H. Milburn, and N. Ziadi. 2001. Critical nitrogen curve and nitrogen nutrition index for potato in eastern Canada. Am. J. Potato Res. 78:355-364. doi:10.1007/BF02884344
8. Blackburn, G.A. 1998. Spectral indices for estimating photosynthetic pigment concentrations: A test using senescent tree leaves. Int. J. Remote Sens. 19:657-675. doi:10.1080/014311698215919
9. Broge, N.H., and E. Leblanc. 2001. Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density. Remote Sens. Environ. 76:156-172. doi:10.1016/ S0034-4257(00)00197-8
10. Cambouris, A.N., B.J. Zebarth, M.C. Nolin, and M.R. Laverdiere. 2008. Apparent fertilizer nitrogen recovery and residual soil nitrate under continuous potato cropping: Effect of N fertilization rate and timing. Can. J. Soil Sci. 88:813-825. doi:10.4141/CJSS07107
11. Centre de Reference en Agriculture et Agroalimentaire du Quebec. 2010. Guide de reference en fertilization. 2nd edition. CRAAQ, Quebec, QC.
12. Chambenoit, C., F. Laurent, J.M. Machet, and H. Boizard. 2004. Development of a decision support system for nitrogen management on potatoes. In: D.K.L. MacKerron and A.J. Haverkort, editors, Decision support systems in potato production: Bringing models to practice. Wageningen Academic Publishers, the Netherlands.
13. Clarke, T.R., M.S. Moran, E.M. Barnes, P.J. Pinter, Jr., and J. Qi. 2001. Planar domain indices: a method for measuring a quality of a single component in two-component pixels. Geosci. Remote Sens. Symp., 2001. IGARSS '01. IEEE 2001 International.
14. Clevers, J.G.P.W. 1989. Application of a weighted infrared-red vegetation index for estimating leaf area index by correcting for soil moisture. Remote Sens. Environ. 29:25-37. doi:10.1016/0034-4257(89)90076-X
15. Clevers, J.G.P.W., and L. Kooistra. 2012. Using hyperspectral remote sensing data for retrieving canopy chlorophyll and nitrogen content. J. Selected Topics Appl. Earth Obs. Remote Sens., IEEE. 5: 574-583. doi:10.1109/JSTARS.2011.2176468
16. Cohen, Y., V. Alchanatis, Y. Zusman, Z. Dar, D.J. Bonfil, A. Karnieli, A. Zilberman, A. Moulin, V. Ostrovsky, A. Levi, R. Brikman, and M. Shenker. 2010. Leaf nitrogen estimation in potato based on spectral data and on simulated bands of the VENmS satellite. Precis. Agric. 11:520-537. doi:10.1007/s11119-009-9147-8
17. Datt, B. 1999. A new reflectance index for remote sensing of chlorophyll content in higher plants: Tests using eucalyptus leaves. J. Plant Physiol. 154:30-36. doi:10.1016/S0176-1617(99)80314-9
18. Daughtry, C.S.T., C.L. Walthall, M.S. Kim, E.B. de Colstoun, and J.E. McMurtrey, Iii. 2000. Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance. Remote Sens. Environ. 74:229-239. doi:10.1016/S0034-4257(00)00113-9
19. Duchenne, T., J.M. Machet, and M. Martin. 1997. Potatoes. In: G. Lemaire, editor, Diagnosis of the nitrogen status in crops. Springer, New York. p. 119-130.
20. Errebhi, M., C.J. Rosen, S.C. Gupta, and D.E. Birong. 1998. Potato yield response and nitrate leaching as influenced by nitrogen management. Agron. J. 90:10-15. doi:10.2134/agronj1998.00021 962009000010003x
21. Fitzgerald, G.J., D. Rodriguez, L.K. Christensen, R. Belford, V.O. Sadras, and T.R. Clarke. 2006. Spectral and thermal sensing for nitrogen and water status in rainfed and irrigated wheat environments. Precis. Agric. 7:233-248. doi:10.1007/s11119-006-9011-z
22. Fitzgerald, G.J., D. Rodriguez, and G. O'Leary. 2010. Measuring and predicting canopy nitrogen nutrition in wheat using a spectral index-The canopy chlorophyll content index (CCCI). Field Crops Res. 116:318-324. doi:10.1016/j.fcr.2010.01.010
23. Gitelson, A.A., and M.N. Merzlyak. 1996. Signature analysis of leaf reflectance spectra: Algorithm development for remote sensing of chlorophyll. J. Plant Physiol. 148:494-500. doi:10.1016/ S0176-1617(96)80284-7
24. Goffart, J.P., M. Olivier, and M. Frankinet. 2008. Potato crop nitrogen status assessment to improve N fertilization management and efficiency: Past-present-future. Potato Res. 51:355-383. doi:10.1007/s11540-008-9118-x
25. Griffin, T.S. 2008. Nitrogen availability. In: J.S. Schepers and W. Raun, editors, Nitrogen in agricultural systems. ASA-CSSA-SSSA, Madison, WI. p. 616-646.
26. Haboudane, D., J.R. Miller, E. Pattey, P.J. Zarco-Tejada, and I.B. Strachan. 2004. Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture. Remote Sens. Environ. 90:337-352. doi:10.1016/j.rse.2003.12.013
27. Haboudane, D., J.R. Miller, N. Tremblay, P.J. Zarco-Tejada, and L. Dextraze. 2002. Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture. Remote Sens. Environ. 81:416-426. doi:10.1016/ S0034-4257(02)00018-4
28. Herrmann, I., A. Karnieli, D.J. Bonfil, Y. Cohen, and V. Alchanatis. 2010. SWIR-based spectral indices for assessing nitrogen content in potato fields. Int. J. Remote Sens. 31:5127-5143. doi:10.1080/01431160903283892
29. Horler, D.N.H., M. Dockray, and J. Barber. 1983. The red edge of plant leaf reflectance. Int. J. Remote Sens. 4:273-288. doi:10.1080/01431168308948546
30. Huete, A.R. 1988. A soil-adjusted vegetation index (SAVI). Remote Sens. Environ. 25:295-309. doi:10.1016/0034-4257(88)90106-X
31. Jackson, R.D., and A.R. Huete. 1991. Interpreting vegetation indices. Prev. Vet. Med. 11:185-200. doi:10.1016/S0167-5877(05)80004-2
32. Jain, N., S. Ray, J.P. Singh, and S. Panigrahy. 2007. Use of hyperspectral data to assess the effects of different nitrogen applications on a potato crop. Precis. Agric. 8:225-239. doi:10.1007/s11119-007-9042-0
33. Jensen, J.R. 2007. Remote sensing of the environment: An earth resource perspective. second ed. Prentice Hall, Upper Saddle River, NJ.
34. Lemaire, G., and F. Gastal. 1997. N uptake and distribution in plant canopies. In: G. Lemaire, editor, Diagnosis of the nitrogen status in crops. Springer, Berlin. p. 3-43.
35. Lemaire, G., J. Salette, M. Sigogne, and J.-P. Terrasson. 1984. Relation entre dynamique de croissance et dynamique de prelevement d'azote pour un peuplement de graminees fourrageres. I. Etude de l'effet du milieu. Agronomie 4:423-430. doi:10.1051/ agro:19840503
36. Li, F., B. Mistele, Y. Hu, X. Yue, S. Yue, Y. Miao, X. Chen, Z. Cui, Q. Meng, and U. Schmidhalter. 2012. Remotely estimating aerial N status of phenologically differing winter wheat cultivars grown in contrasting climatic and geographic zones in China and Germany. Field Crops Res. 138:21-32. doi:10.1016/j.fcr.2012.09.002
37. Lyon, J.G., D. Yuan, R.S. Lunetta, and C.D. Elvidge. 1998. A change detection experiment using vegetation indices. Photogramm. Eng. Remote Sens. 64:143-150.
38. Penuelas, J., F. Baret, and I. Filella. 1995a. Semi-empirical indices to assess carotenoids/chlorophyll a ratio from leaf spectral reflectance. Photosynthetica 31:221-230.
39. Penuelas, J., I. Filella, P. Lloret, F. Munoz, and M. Vilajeliu. 1995b. Reflectance assessment of mite effects on apple trees. Int. J. Remote Sens. 16:2727-2733. doi:10.1080/01431169508954588
40. Qi, J., A. Chehbouni, A.R. Huete, Y.H. Kerr, and S. Sorooshian. 1994. A modified soil adjusted vegetation index. Remote Sens. Environ. 48:119-126. doi:10.1016/0034-4257(94)90134-1
41. R Core Team. 2012. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
42. Rondeaux, G., M. Steven, and F. Baret. 1996. Optimization of soiladjusted vegetation indices. Remote Sens. Environ. 55:95-107. doi:10.1016/0034-4257(95)00186-7
43. Rouse, J.W., Jr., R.H. Haas, J.A. Schell, D.W. Deering, and J.C. Harlan. 1974. Monitoring the vernal advancement and retrogradation (greenwave Effect) of natural vegetation. Texas A&M Univ., College Station, TX. http://ntrs.nasa.gov/archive/nasa/casi.ntrs. nasa.gov/19750020419.pdf (accessed 1 Apr. 2015).
44. SAS Institute. 2004. SAS user's guide. SAS Inst., Cary, NC.
45. Saxton, A. 1998. A macro for converting mean separation output to letter groupings in Proc Mixed. Proceedings of the 23rd SAS Users Group International: 1243-1246.
46. Schroder, J.J., J.J. Neeteson, O. Oenema, and P.C. Struik. 2000. Does the crop or the soil indicate how to save nitrogen in maize production?: Reviewing the state of the art. Field Crops Res. 66:151-164. doi:10.1016/S0378-4290(00)00072-1
47. Serrano, L., J. Penuelas, and S.L. Ustin. 2002. Remote sensing of nitrogen and lignin in Mediterranean vegetation from AVIRIS data: Decomposing biochemical from structural signals. Remote Sens. Environ. 81:355-364. doi:10.1016/ S0034-4257(02)00011-1
48. Shanahan, J.F., N.R. Kitchen, W.R. Raun, and J.S. Schepers. 2008. Responsive in-season nitrogen management for cereals. Comput. Electron. Agric. 61:51-62. doi:10.1016/j.compag.2007.06.006
49. Soil Classification Working Group. 1998. The Canadian system of soil classification, third edition. Publ. 1646. Agriculture and Agri- Food Canada, Ottawa, ON.
50. St. Luce, M., J.K. Whalen, N. Ziadi, and B.J. Zebarth. 2011. Nitrogen dynamics and indices to predict soil nitrogen supply in humid temperate soils. Adv. Agron. 112:55-102. doi:10.1016/ B978-0-12-385538-1.00002-0
51. Stalham, M.A., and E.J. Allen. 2001. Effect of variety, irrigation regime and planting date on depth, rate, duration and density of root growth in the potato (Solanum tuberosum) crop. J. Agric. Sci. 137:251-270. doi:10.1017/S0021859601001332
52. Thenkabail, P.S., J.G. Lyon, and A. Huete. 2011. Advances in hyperspectral remote sensing of vegetation and agricultural croplands. Hyperspectral remote sensing of vegetation. CRC Press, Boca Raton, FL. p. 3-36.
53. Thenkabail, P.S., R.B. Smith, and E. De Pauw. 2000. Hyperspectral vegetation indices and their relationships with agricultural crop characteristics. Remote Sens. Environ. 71:158-182. doi:10.1016/ S0034-4257(99)00067-X
54. Tran, T.S., and M. Giroux. 1991. Effects of N rates and harvest dates on the efficiency of 15N-labeled fertilizer on early harvested potatoes (Solanum tuberosum L.). Can. J. Soil Sci. 71:519-532. doi:10.4141/cjss91-050
55. van Evert, F.K., R. Booij, J.N. Jukema, H.F.M. ten Berge, D. Uenk, E.J.J. Meurs, W.C.A. van Geel, K.H. Wijnholds, and J.J. Slabbekoorn. 2012. Using crop reflectance to determine sidedress N rate in potato saves N and maintains yield. Eur. J. Agron. 43:58-67. doi:10.1016/j.eja.2012.05.005
56. Vogelmann, J.E., B.N. Rock, and D.M. Moss. 1993. Red edge spectral measurements from sugar maple leaves. Int. J. Remote Sens. 14:1563-1575. doi:10.1080/01431169308953986
57. Vos, J., and D.K.L. MacKerron. 2000. Basic concepts of the management of supply of nitrogen and water in potato production. In: A.J. Havekort and D.K.L. MacKerron, editors, Management of Nitrogen and Water in Potato Production. Wageningen Academic Publisher, the Netherlands. p. 15-33.
58. Yao, H., L. Tang, L. Tian, R. Brown, D. Bhatnagar, and T. Cleveland. 2011. Using hyperspectral data in precision farming applications. Hyperspectral remote sensing of vegetation. CRC Press, Boca Raton, FL. p. 591-608.
59. Zarco-Tejada, P.J., J.R. Miller, A. Morales, A. Berjon, and J. Aguera. 2004. Hyperspectral indices and model simulation for chlorophyll estimation in open-canopy tree crops. Remote Sens. Environ. 90:463-476. doi:10.1016/j.rse.2004.01.017
60. Zarco-Tejada, P.J., J.R. Miller, T.L. Noland, G.H. Mohammed, and P.H. Sampson. 2001. Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data. IEEE Trans. Geosci. Rem. Sens. 39:1491-1507 doi:10.1109/36.934080.
61. Zebarth, B.J., C.F. Drury, N. Tremblay, and A.N. Cambouris. 2009. Opportunities for improved fertilizer nitrogen management in production of arable crops in eastern Canada: A review. Can. J. Soil Sci. 89:113-132. doi:10.4141/CJSS07102
62. Zebarth, B.J., H. Rees, N. Tremblay, P. Fournier, and B. Leblon. 2003. Mapping spatial variation in potato nitrogen status using the N Sensor. Acta Hortic. 627:267-273.
63. Ziadi, N., B. Zebarth, G. Belanger, and A. Cambouris. 2012. Soil and plant tests to optimize fertilizer nitrogen management of potatoes. In: Z. He, R. Larkin, and W. Honeycutt, editors, Sustainable potato production: Global case studies. Springer, the Netherlands. p. 187-207.