Field radiometer with canopy pasture probe as a potential tool to estimate and map pasture biomass and mineral components: A case study in the Lake Taupo catchment, New Zealand

New Zealand Journal of Agricultural Research

Volumn 52, Issue 4, 2009, Pages 417-434

  Kawamura, Kensuke ^a   Betteridge, Keith ^b   Sanches, Ieda D ^c   Tuohy, Mike P ^c   Costall, D E S ^b   Inoue, Yoshio ^a  

^a NATIONAL INSTITUTE FOR AGRO ENVIRONMENTAL SCIENCES   (Japan)

^b AGRESEARCH GRASSLANDS   (New Zealand)

^c MASSEY UNIVERSITY   (New Zealand)

Author keywords

Hyperspectral remote sensing; Lake taupo; New zealand; Partial least squares regression; Pasture mass; Pasture quality; Spatial distribution

Indexed keywords

CANOPY; CATCHMENT; DATA ASSIMILATION; FIELD SURVEY; GPS; LEAST SQUARES METHOD; NUMERICAL MODEL; PASTURE; PHYTOMASS; PRECISION AGRICULTURE; RADIOMETRIC SURVEY; REMOTE SENSING; SOIL NUTRIENT; SPATIAL DISTRIBUTION; VEGETATION MAPPING;

LAKE TAUPO; NEW ZEALAND; NORTH ISLAND; WAIKATO;

EID: 77952181465     PISSN: 00288233     EISSN: None     Source Type: Journal    
DOI: 10.1080/00288230909510524     Document Type: Article

References (58)

1. Betteridge K, Kawamura K, Costall D, Carter M, Hoogendoorn C, Griffiths W, Inoue Y 2008. Tools to determine impact of animal behaviour on nitrogen leaching and nitrous oxide emissions. Pp. 286-298. In: Currie LD, Yates LJ ed. The 21 st Annual Fertiliser and Lime Research Centre Workshop, Massey University.
2. Betteridge K, Schnug E, Haneklaus S 2009. Will site specific nutrient management live up to expectation? Landbauforschung, vTI Agriculture and Forestry Research 58: 283-294 (in English).
3. Bolster KL, Martin ME, Aber JD 1996. Determination of carbon fraction and nitrogen concentration in tree foliage by near infrared reflectance: a comparison of statistical methods. Canadian Journal of Forest Research 26: 590-600.
4. Cambardella CA, Moorman TB, Novak JM, Parkin TB, Karlen DL, Turco RF, Konopka AE 1994. Fieldscale variability of soil properties in central Iowa soils. Soil Science Society of America Journal 58: 1501-1511.
5. Cho MA, Skidmore A, Corsi F, van Wieren SE, Sobhan I 2007. Estimation of green grass/herb biomass from airborne hyperspectral imagery using spectral indices and partial least squares regression. International Journal of Applied Earth Observation and Geoinformation 9: 414-424.
6. Chong I-G, Jun C-H 2005. Performance of some variable selection methods when multicollinearity is present. Chemometrics and Intelligent laboratory Systems 78: 103-112.
7. Clark DH, Lamb RC 1991. Near infrared reflectance spectroscopy: a survey of wavelength selection to determine dry matter digestibility. Journal of Dairy Science 74: 2200-2205.
8. Clark RN, Roush TL 1984. Reflectance spectroscopy: quantitative analysis techniques for remote sensing applications. Journal of Geophysical Research 89(B7): 6329-6340.
9. Clevers JGPW 1999. The use of imaging spectrometry for agricultural applications. ISPRS Journal of Photogrammetry and Remote Sensing 54(5-6): 299-304.
10. Cohen JM, Prenger PJ, DeBusk FW 2005. Visible-near infrared reflectance spectroscopy for rapid, non-destructive assessment of wetland soil quality. Journal of Environmental Quality 34: 1422-1434.
11. Crist TO 1998. The spatial distribution of termites in shortgrass steppe: a geostatistical approach. Oecologia 114: 410-416.
12. Curran PJ 1989. Remote sensing of foliar chemistry. Remote Sensing of Environment 30: 271-278.
13. Curran PJ, Dungan JL, Peterson DL 2001. Estimating the foliar biochemical concentration of leaves with reflectance spectrometry: testing the Kokaly and Clark methodologies. Remote Sensing of Environment 76: 349-359.
14. Datt B 1998. Remote sensing of chlorophyll a, chlorophyll b, chlorophyll a+b, and total carotenoid content in Eucalyptus leaves. Remote Sensing of Environment 66: 111-121.
15. Dougherty CT, Bradley NW, Lauriault LM, Arias JE, Cornelius PL 1992. Allowance-intake relations of cattle grazing vegetative tall fescue. Grass and Forage Science 47: 211-219.
16. Ferwerda JG, Skidmore AK 2007. Can nutrient status of four woody plant species be predicted using field spectrometry? ISPRS Journal of Photogrammetry and Remote Sensing 62: 406-414.
17. García-Ciudad A, Ruano A, Becerro F, Zabalgogeazcoa I, Vázquez De Aldana BR García-Criado B 1999. Assessment of the potential of NIR spectroscopy for the estimation of nitrogen content in grasses from semiarid grasslands. Animal Feed Science and Technology 77(1-2): 91-98.
18. Geladi P, Kowalski BR 1986. Partial least-squares regression: a tutorial. Analytica Chimica Acta 185: 1-17.
19. Gillingham AG, Maber J, Morton J, Tuohy M 1999. Precise aerial fertiliser application in hill country. Proceedings of the New Zealand Grassland Association 61: 221-226.
20. Huang Z, Turner BJ, Duty SJ, Wallis JR, Foley WJ 2004. Estimating foliage nitrogen concentration from HYMAP data using continuum removal analysis. Remote Sensing of Environment 93: 18-29.
21. Inoue Y, Morinaga S, Shibayama M 1993. Non-destructive estimation of water status of intact crop leaves based on spectral reflectance measurements. Japanese Journal of Crop Science 62: 462-469.
22. Jiang JH, Berry RJ, Siesler HW, Ozaki Y 2002. Wavelength interval selection in multicomponent spectral analysis by moving window partial least-squares regression with applications to mid-infrared and near-infrared spectroscopic data. Analytical Chemistry 74: 3555-3565.
23. Johnson FL 2001. Nitrogen influence on fresh-leaf NIR spectra. Remote Sensing of Environment 78: 314-320.
24. Kawamura K, Akiyama T, Yokota H-o, Tsutsumi M, Yasuda T, Watanabe O, Wang S 2005. Quantifying grazing intensities using geographic information systems and satellite remote sensing in the Xilingol steppe region, Inner Mongolia, China. Agriculture, Ecosystems & Environment 107: 83-93.
25. Kawamura S, Arakawa M, Funatsu K 2006. Development of genetic algorithm-based wavelength regional selection technique. Journal of Computer Aided Chemistry 7: 10-17.
26. Kawamura K, Watanabe N, Sakanoue S, Inoue Y 2008. Estimating forage biomass and quality in a mixed sown pasture based on PLS regression with waveband selection. Grassland Science 54: 131-145.
27. Kawamura K, Mackay AD, Tuohy MP, Betteridge K, Sanches ID, Inoue Y in press. Potential for spectral indices to remotely sense phosphorus and potassium content of legume-based pasture as a means of assessing soil phosphorus and potassium fertility status. International Journal of Remote Sensing.
28. Kerry R, Oliver MA 2003. Variograms of ancillary data to aid sampling for soil surveys. Precision Agriculture 4: 261-278.
29. Kerry R Oliver MA 2004. Average variograms to guide soil sampling. International Journal of Applied Earth Observation and Geoinformation 5(4): 307-325.
30. Kokaly RF, Clark RN 1999. Spectroscopic determination of leaf biochemistry using band-depth analysis of absorption features and stepwise multiple linear regression. Remote Sensing of Environment 67: 267-287.
31. López-Granados F, Jurado-Expósito M, Atenciano S, García-Ferrer A, Sánchez De La Orden M, GarcíaTorres L 2002. Spatial variability of agricultural soil parameters in southern Spain. Plant and Soil 246: 97-105.
32. López-Granados F, Jurado-Expósito M, Álamo S, GarcíaTorres L 2004. Leaf nutrient spatial variability and site-specific fertilization maps within olive (Olea europaea L.) orchards. European Journal of Agronomy 21(2): 209-222.
33. Lorber A, Wangen LE, Kowalski BR 1987. A theoretical foundation for the PLS algorithm. Journal of Chemometrics 1(1): 19-31.
34. Macho S, Sales F, Callao MP, Larrechi MS, Rius FX 2001. Outlier detection in the ethylene content determination in propylene copolymer by near-infrared spectroscopy and multivariate calibration. Applied Spectroscopy 55: 1532-1536.
35. Mutanga O, Skidmore AK, Prins HHT 2004. Predicting in situ pasture quality in the Kruger National Park, South Africa, using continuum-removed absorption features. Remote Sensing of Environment 89: 393-408.
36. Nijhuis A, de Jong S, Vandeginste BGM 1999. The application of multivariate quality control in gas chromatography. Chemometrics and Intelligent Laboratory Systems 47(1): 107-125.
37. O'Connor KF, Harris PS 1991. Biophysical and cultural factors affecting the sustainability of high country pastoral uses. In: Henriques PR ed. Proceedings of the International Conference on Sustainable Land Management. Pp. 304-313.
38. Pebesma EJ 2004. Multivariable geostatistics in S: the gstat package. Computers & Geosciences 30(7): 683-691.
39. Peñuelas J, Piñcol J, Ogaya R, Filella I, 1997. Estimation of plant water concentration by the reflectance water index WI (R900/R970). International Journal of Remote Sensing 18: 2869-11875
40. QuikChem®2003.QuikChem®Method 10-107-06-2-H, Determination of total Kjeldahl nitrogen by flow injection analysis colorimetry (Copper Catalyst/ Block Digestor Method), Lachat Instruments.
41. R Development Core Team 2008. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available from http://www.R-project.org.
42. Roberts AHC, Morton JD 1999. Fertiliser use on New Zealand dairy farms. New Zealand Manufacturer's Association. 36 p.
43. Ruano-Ramos A, García-Ciudad A, Garcia-Criado B 1999a. Near infrared spectroscopy prediction of mineral content in botanical fractions from semi-arid grasslands. Animal Feed Science and Technology 77(3-1): 331-343.
44. Ruano-Ramos A, García-Ciudad A, García-Criado B 1999b. Determination of nitrogen and ash contents in total herbage and botanical components of grassland systems with near infra-red spectroscopy. Journal of the Science of Food and Agriculture 79: 137-143.
45. Sanches ID, Tuohy MP, Hedley MJ, Bretherton MR 2009. Large, durable and low-cost reflectance standard for field remote sensing applications. International Journal of Remote Sensing 30: 2309-2319.
46. Savitzky A, Golay EJM 1964. Smoothing and difference of data by simplified least squares procedures. Analytical Chemistry 36: 1627-1639.
47. Schut AGT, van der Heijden GWAM, Hoving I, Stienezen MWJ, van Evert FK, Meuleman J 2006. Imaging spectroscopy for on-farm measurement of grassland yield and quality. Agronomy Journal 98: 1318-1325.
48. Sirois PK, Reuter MJ, Laughlin CM, Lockwood PJ 1994. A method for determining macro and micro elements in forages and feeds by inductively coupled plasma atomic emission spectrometry. The Spectroscopist 3: 6-9.
49. Starks JP, Zhao D, Phillips AW, Coleman SW 2006. Herbage mass, nutritive value and canopy spectral reflectance of bermudagrass pastures. Grass and Forage Science 61: 101-111.
50. Takahashi S, Akiyama T, Shiyomi M, Okubo T 1991. Effect of leaf allowance on weight gain in young grazing cattle. Japanese Journal of Grassland Science 37(3): 343-352.
51. Thenkabail SP, Endona AE, Ashton SM, Legg C, De Dieu JM 2004. Hyperion, IKONOS, ALI, and ETM+ sensors in the study of African rainforests. Remote Sensing of Environment 90: 23-43.
52. Tsai F, Philpot W 1998. Derivative analysis of hyperspectral data. Remote Sensing of Environment 66: 41-51.
53. Vallentine FJ 1990. Grazing management. 2nd ed. San Diego. 659 p.
54. Webster R1985. Quantitative spatial analysis of soil in the field. Advances in Soil Science 3: 1-70.
55. Wikström C, Albano C, Eriksson L, Fridén H, Johansson E, Nordahl Å, Rännar S, Sandberg M, Kettaneh-Wold N, Wold S 1998. Multivariate process and quality monitoring applied to an electrolysis process: part I. Process supervision with multivariate control charts. Chemometrics and intelligent Laboratory Systems 42(1-2): 221-231.
56. Williams PC 2001. Implementation of near-infrared technology. In: Williams PC, Norris KH ed. Nearinfrared technology in the agricultural and food industries. 2nd ed. St. Paul, Minnesota, USA, American Association of Cereal Chemists Inc. Pp. 145-169.
57. Wold S, Sjöström M, Eriksson L 2001. PLS-regression: a basic tool of chemometrics. Chemometrics and Intelligent Laboratory Systems 58(2): 109-130.
58. Zhao D, Starks PJ, Brown MA, Phillips WA, Coleman SW 2007. Assessment of forage biomass and quality parameters of bermudagrass using proximal sensing of pasture canopy reflectance. Grassland Science 53(1): 39-49.