Estimation of Wheat Agronomic Parameters using New Spectral Indices

PLoS ONE

Volumn 8, Issue 8, 2013, Pages

  Jin, Xiu liang ^a,b   Diao, Wan ying ^c   Xiao, Chun hua ^c   Wang, Fang yong ^d   Chen, Bing ^d   Wang, Ke ru ^a,c   Li, Shao kun ^a,c  

^a INSTITUTE OF PLANT PROTECTION   (China)

^b Beijing Research Center for Information Technology in Agriculture   (China)

^c Key Laboratory of Oasis Ecology Agriculture of Xinjiang Construction Crops   (China)

^d Institute of Cotton   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CHLOROPHYLL; NITROGEN;

ACCURACY; AGRONOMIC TRAIT; ARTICLE; BIOMASS; CHLOROPHYLL CONTENT; CONTROLLED STUDY; DRY WEIGHT; INTERMETHOD COMPARISON; LEAF AREA; NITROGEN UPTAKE; NONHUMAN; PLANT GROWTH; VEGETATION; WHEAT;

AGRICULTURE; BIOMASS; CHLOROPHYLL; MODELS, BIOLOGICAL; NITROGEN; PLANT LEAVES; REPRODUCIBILITY OF RESULTS; SOIL; SPECTRUM ANALYSIS; TRITICUM;

EID: 84883407910     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0072736     Document Type: Article

References (43)

1. Daughtry CST, Gallo KP, Goward SN, Prince SD, Kustas WD, (1992) Spectral estimates of absorbed radiation and phytomass production in corn and soybean canopies. Remote Sensing of Environment 39: 141-152.
2. Goetz SJ, Prince SD, (1996) Remote sensing of net primary production in boreal forest stands. Agricultural and Forest Meteorology 78: 149-179.
3. Liu J, Chen J, Cihlar J, Park WM, (1997) A process-based boreal ecosystem productivity simulator using remote sensing inputs. Remote Sensing of Environment 62: 158-175.
4. Moran MS, Inoue Y, Barnes EM, (1997) Opportunities and limitations for image-based remote sensing in precision crop management. Remote Sensing of Environment 61: 319-346.
5. Moran MS, Maas SJ, Pinter JPJ, (1995) Combining remote sensing and modeling for estimating surface evaporation and biomass production. Remote Sensing of Environment 12: 335-353.
6. Tucker CJ, Holben BN, Elgin JJH, McMurtrey JE, (1980) Relationship of spectral data to grain yield variations. Photogrammetric Engineering & Remote Sensing 46: 657-666.
7. Rouse JW, Haas RH, Schell JA, Deering DW, Harlan JC (1974) Monitoring the vernal advancements and retrogradation of natural vegetation. In: NASA/GSFC, Final Report, Greenbelt, MD, USA, 1974, pp.1-137.
8. Bausch WC, (1993) Soil background effects on refl{ligature}ectance-based crop coefficients for corn. Remote Sensing of Environment 46: 213-222.
9. Elvidge CD, Lyon RJP, (1985) Infl{ligature}uence of rock-soil spectral variation on the assessment of green biomass. Remote Sensing of Environment 17: 265-279.
10. Huete AR, Jackson RD, Post DF, (1985) Spectral response of a plant canopy with different soil backgrounds. Remote Sensing of Environment 17: 37-53.
11. Rondeaux G, Steven M, Baret F, (1996) Optimization of soil adjusted vegetation indices, Remote Sensing of Environment. 55: 95-107.
12. Yang JC, Wang ZQ, Zhu QS, (1996) Effects of nitrogen nutrition on rice yield and its physiology mechanism under the different status of soil moisture, Chinese Agriculture Science. 29: 58-66 (in Chinese).
13. Rhykerd CL, Noller CH (1974). The role of nitrogen in forage production, In D.A. Mays (ed.) Forage fertilization, American Society of Agronomy, Madison, WI, 416-424.
14. Stone ML, Solie JB, Raun WR, Whitney RW, Taylor SL, et al. (1996a) Use of spectral radiance for correcting in-season fertilizer nitrogen deficiencies in winter wheat. Transactions of the American Society Agriculture Engineers 39: 1623-1631.
15. Stone ML, Solie JB, Whitney RW, Raun WR, Lees HL (1996b) Sensors for the detection of nitrogen in winter wheat. Tech. Paper Series No. 961757. SAE, Warrendale, PA.
16. Osborne SL, Schepers JS, Francis DD, Schlemmer MR, (2002) Detection of phosphorous and nitrogen deficiencies in corn using spectral radiance measurement. Agronomy Journal 94: 1215-1221.
17. Gitelson AA, Merzlyak MN, (1996) Signature analysis of leaf reflectance spectra: algorithm development for remote sensing of chlorophyll. Journal of Plant Physiology 148: 494-500.
18. Moges SM, Raun WR, Mullen RW, Freeman KW, Johnson GV, et al. (2004) Estimating of green, red, and near infrared bands for predicting winter wheat biomass, nitrogen uptake, and final grain yield. Journal of Plant Nutrition 27: 1431-1441.
19. Reyniers M, Walvoort DJJ, De Baardemaaker J, (2006) A linear model to predict with a multi-spectral radiometer the amount of nitrogen in winter wheat. International Journal of Remote Sensing 27: 4159-4179.
20. Zhu Y, Yao X, Tian YC, Liu XJ, Cao WX, (2008) Analysis of common canopy vegetation indices for indicating leaf nitrogen accumulations in wheat and rice. International Journal of Appllied earth Obsevation and Geoinformation 10: 1-10.
21. Eitel JUH, Long DS, Gessler PE, Smith AMS, (2007) Using in-situ measurements to evaluate the new RapidEye satellite series for prediction of wheat nitrogen status. International Journal of Remote Sensing 28: 4183-4190.
22. Fitzgerald G, Rodriguez D, O'Leary G, (2010) Measuring and predicting canopy nitrogen nutrition in wheat using a spectral index-The canopy chlorophyll content index (CCCI). Field Crops Research 116: 318-324.
23. Vigneaua N, Ecarnotb M, Rabatel G, Roumetb P, (2011) Potential of field hyperspectral imaging as a non destructive method to assess leaf nitrogen content in wheat. Field Crops Research 122: 25-31.
24. Buschmann C, Nagel E, (1993) In vivo spectroscopy and internal optics of leaves as basis for remote sensing of vegetation. International Journal of Remote Sensing 14: 711-722.
25. Gitelson AA, Merzlyak MN, (1994a) Quantitative estimation of chlorophyll a using reflectance spectra: Experiments with autumn chestnut and maple leaves. Journal of Photochemistry and Photobiology Biology 22: 247-252.
26. Gitelson AA, Merzlyak MN, (1994b) Spectral reflectance changes associated with autumn senescence of Aesculus hippocastanum andAcer platanoides leaves. Spectral features and relation to chlorophyll estimation. Journal of Plant Physiology 143: 286-292.
27. Markwell J, Osterman JC, Mitchell JL, (1995) Calibration of the Minolta SPAD-502 leaf chlorophyll meter. Photosynthesis Research 46: 467-472.
28. Gamon JA, Surfus JS, (1999) Assessing leaf pigment content and activity with a reflectometer. New Phytologist 143: 105-117.
29. Gitelson AA, Merzlyak MN, Chivkunova OB, (2001) Optical properties and non-destructive estimation of anthocyanin content in plant leaves, Journal of Photochemistry Photobiology. 74: 38-45.
30. Gitelson AA, Zur Y, Chivkunova OB, Merzlyak MN, (2002) Assessing carotenoid content in plant leaves with refl{ligature}ectance spectroscopy. Journal of Photochemistry Photobiology 75: 272-281.
31. Gitelson AA, Vina A, Ciganda V, Rundquist DC, Arkebauer TJ, (2005) Remote estimation of canopy chlorophyll content in crops. Geophysical Research Letters 32: L08403 doi:10.1029/2005 GL022688.
32. Gitelson AA, Vina A, Verma SB, Rundquist DC, Arkebauer TJ, et al. (2006) Relationship between gross primary production and chlorophyll content in crops: Implications for the synoptic monitoring of vegetation productivity. Geophysical Research Letters 111: D08S11 doi:10.1029/2006JD006017.
33. Peng Y, Gitelson AA, Keydan G, Rundquist DC, Moses W, (2011) Remote estimation of gross primary production in maize and support for a new paradigm based on total crop chlorophyll content. Remote Sensing of Environment 115: 978-989.
34. Schepers JS, Francis DD, Thompson MT, (1989) Simultaneous determination of total C, total N and 15N on soil and plant material. Communications in Soil Science and Plant Analysis 20: 949-959.
35. McKinney G, (1941) Absorption of light by chlorophyll solutions. Journal of Biology Chemistry 140: 315-322.
36. Penuelas J, Baret F, Filella I, (1995) Semiempirical indexes to assess carotenoids chlorophyll-a ratio from leaf spectral refl{ligature}ectance. Photosynthetica 31: 221-230.
37. Jiang Z, Huete AR, Didan K, Miura T, (2008) Development of a two-band enhanced vegetation index without a blue band. Remote Sensing of Environment 112: 3833-3845.
38. Steven MD, (1998) The densitivity of the OSAVI vegetation Index to observational parameters, Remote Sensing of Environment. 63: 49-60.
39. Cheng JP, Cao CG, Cai ML, Yuan BZ, Zhai J, (2008) Effect of different nitrogen nutrition and soil water potential on the physiology parameters and yield of hybrid rice. Plant Nutrition and Fertilizer Science 14: 199-206 (in Chinese).
40. Gitelson AA, Gurlin D, Moses WJ, Barrow T (2009) A bio-optical algorithm for the remote estimation of the chlorophyll-a concentration in case 2 waters. Environment Research Letters 045003, doi:10.1088/1748-9326/4/4/045003.
41. Houborg R, Anderson MC, Daughtry CST, Kustas WP, Rodell M, (2011) Using leaf chlorophyll to parameterize light-use-efficiency within a thermal-based carbon, water and energy exchange model. Remote Sensing of Environment 115: 1694-1705.
42. Sakamoto T, Gitelson AA, Wardlow BD, Arkebauer TJ, Verma SB, et al. (2012) Application of day and night digital photographs for estimating maize biophysical characteristics. Precision Agriculture 13: 285-301.
43. Gurlin D, Gitelson AA, Moses WJ, (2011) Remote estimation of chl-a concentration in turbid productive waters-Return to a simple two-band NIR-red model? Remote Sensing of Environment 115: 3479-3490.