Assessing biophysical variable parameters of bean crop with hyperspectral measurements

Scientia Agricola

Volumn 69, Issue 2, 2012, Pages 87-94

  Monteiro, Priscylla Ferraz Câmara ^a,c   Filho, Rubens Angulo ^a   Xavier, Alexandre Cândido ^b   Monteiro, Rodrigo Otávio Câmara ^a,d  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b FEDERAL UNIVERSITY OF ESPÍRITO SANTO   (Brazil)

^c FEDERAL UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

^d INSTITUTO FEDERAL DE EDUCAÇÃO   (Brazil)

Author keywords

Hyperspectral remote sensing; Spectroradiometry; Vegetation indices

Indexed keywords

PHASEOLUS VULGARIS;

EID: 84857885650     PISSN: 01039016     EISSN: 1678992X     Source Type: Journal    
DOI: 10.1590/S0103-90162012000200001     Document Type: Article

References (40)

1. Allen, R.G.; Pereira, L.S.; Raes, D.; Smith, M. 1998. 328 p. Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements. FAO, Roma, Italy (FAO Irrigation and Drainage Paper, 56).
2. Aparicio, N.; Villegas, D.; Casadesus, J.; Araus, J.L.; Royo, C. 2000. Spectral vegetation indices as nondestructive tools for determining durum wheat yield. Agronomy Journal 92: 83-91.
3. Barbosa Filho, M.P.; Fageria, N.K.; Silva, O.F. 2005. Sources, rates and fractional topdressing of nitrogen fertilizers for irrigated common bean. Ciencia e Agrotecnologia 29: 69-76 (in Portuguese, with abstract in English).
4. Barbosa Filho, M.P.; Fageria, N.K.; Silva, O.F. 2004. Sources and methods of nitrogen fertilizer application in irrigated beans under three levels of soil acidity. Ciencia e Agrotecnologia 28: 785-792 (in Portuguese, with abstract in English).
5. Carvalho, L.M.; Casali, V.W.D.; Souza, M.A.; Cecon, P.R. 2003. Soil water availability and growth of feverfew. Horticultura Brasileira 21: 726-730 (in Portuguese, with abstract in English).
6. Chen, P.; Haboudane, D.; Tremblay, N.; Wang, J.; Vigneault, P.; Li, B. 2010. New spectral indicator assessing the efficiency of crop nitrogen treatment in corn and wheat. Remote Sensing of Environment 114: 1987-1997.
7. Daughtry, C.S.T.; Walthall, C.L.; Kim, M.S.; Colstoun, E.B.; McMurtrey III J.E. 2000. Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance. Remote Sensing of Environment 74: 229-239.
8. Efron, B. 1982. The Jackknife, the Bootstrap and Other Resampling Plans. Society for Industrial and Applied Mathematics, Philadelphia, PA, USA.
9. Eitel, J.U.H.; Long, D.S.; Gessler, P.E.; Hunt, E.R. 2008. Combined spectral index to improve ground-based estimates of nitrogen status in dryland wheat. Agronomy Journal 100: 1694-1702.
10. Elias, A.I.; Camargo, J.R.O.; Arbex, M. 1999. Mechanized harvest of common bean Phaseolus vulgaris L. p.102-107. In: Fancelli, A.L.; Dourado Neto, D. Irrigated bean crop: basic estrategies management. Publique, Piracicaba, SP, Brazil. (in Portuguese).
11. Elwadie, M.E.; Pierce, F.J.; Qi, J. 2005. Remote sensing of canopy dynamics and biophysical variables estimation of corn in Michigan. Agronomy Journal 97: 99-105.
12. Fancelli, A.L. 2007. Bean: Special Topics in Management. Livroceres Piracicaba, SP, Brazil. (in Portuguese).
13. Fancelli, A.L.; Dourado Neto, D. 2007. Bean Production. Livroceres Piracicaba, SP, Brazil. (in Portuguese).
14. Galvão, L.S.; Roberts, D.A.; Formaggio, A.R.; Numata, I.; Breunig. F.M. 2009. View angle effects on the discrimination of soybean varieties and on the relationships between vegetation indices and yield using off-nadir Hyperion data. Remote Sensing of Environment 113: 846-856.
15. Goel, N.S. 1988. Models of vegetation canopy reflectance and their use in estimation of biophysical parameters from reflectance data. Remote Sensing Reviews 4: 201-212.
16. Gomes, A.A.; Araujo, A.P.; Rossiello, R.O.P.; Pimentel, C. 2000. Accumulation of biomass, physiological characteristics and grain yield of bean cultivars under irrigated and dry regimes. Pesquisa Agropecuária Brasileira 35: 1927-1937 (in Portuguese, with abstract in English).
17. Guerra, A.F.; Silva, D.B.; Rodrigues, G.C. 2000. Irrigation timing and nitrogen fertilization for common bean crop in the Cerrado region. Pesquisa Agropecuaria Brasileira 35: 1229-1236 (in Portuguese, with abstract in English).
18. Gong, P.; Pu, R.; Biging, G.S.; Larrieu, M.R. 2003. Estimation of Forest Leaf Area Index Using Vegetation Indices Derived From Hyperion Hyperspectral Data. IEEE Transactions on Geoscience and Remote Sensing 41: 1355-1362.
19. Hans, R.J.; Keller, J.; Rasmussen, V.P.; Wilson, G.D. 1976. Line source sprinkler for continuous variable irrigation crop production studies. Soil Science Society of America Journal 40: 426-429.
20. Jensen, J.R. 2007. Remote Sensing of the Environment: An Earth Resource Perspective. 2. ed. Prentice Hall, Upper Saddle River, NJ, USA.
21. Jackson, R.D.; Pinter Jr., P.J.; Idso, S.B.; Reginato, R.J. 1979. Wheat spectral reflectance: interactions between crop configuration, sun elevation, and azimuth angle. Applied Optics 18: 3730-3732.
22. Martinez, W.L.; Martinez, A.R. 2008. 792 p. Computational Statistics Handbook with MATLAB. 2. ed. Chapman & Hall, New York, NY, USA.
23. Matlab. 2010. Mathworks. Matlab Boston, MA, USA.
24. Milton, E.J. 1987. Principles of field spectroscopy. International Journal of Remote Sensing 8: 1807-1827.
25. Moore, D.S.; McCabe, G.P. 2006. Introduction to the Practice of Statistics, 5. ed. W.H. Freeman, New York, NY, USA.
26. Moreira, M.A.; Angulo Filho, R.; Rudorff, B.F.T. 1999. Radiation use efficiency and harvest index for wheat under drought stress at different growth stages. Scientia Agricola 56: 597-603 (in Portuguese, with abstract in English).
27. 2 in regression analysis. Economic Modelling 17: 473-483.
28. Peñuelas, J.; Piñol, J.; Ogaya, R.; Fillela, I. 1997. Estimation of plant water concentration by the reflectance water index WI (R900/R970). International Journal of Remote Sensing 18: 2869-2875.
29. Raij, B. van.; Andrade, J.C.; Cantarella, H.; Quaggio, J.A. 2001. Chemical Analysis for Evaluation of the Fertility of Tropical Soils. Instituto Agronômico, Campinas, SP, Brazil (in Portuguese).
30. Raij, B. van.; Quaggio, J.A.; Cantarella, H.; Abreu, C.A. 1997. Results interpretation of soil analysis. p. 8-13. In: Raij, B. van.; Cantarella, H.; Quaggio, J.A.; Furlani, A.M.C., ed. Liming and fertilizer recommendations for Sao Paulo State. 2. ed. IAC, Campinas, SP, Brazil. (Boletim Técnico, 100) (in Portuguese).
31. Raun, W.R.; Solie, J.B.; Taylor, R.K.; Arnall, D.B.; Mack, C.J.; Edmonds, D.E. 2008. Ramp calibration strip technology for determining midseason nitrogen rates in corn and wheat. Agronomy Journal 100: 1088-1093.
32. Sellers, P.J.; Dickinson, R.E.; Randall, D.A.; Betts, A.K.;Hall, F.G.; Berry, J.A.; Collatz, G.J.; Denning, A.S.; Mooney, H.A.; Nobre, C.A.; Sato, N.; Field, C.B.; Henderson-Sellers, A. 1997. Modeling the exchanges of energy, water, and carbon between continents and the atmosphere. Science 275: 502-509.
33. Serrano, L.; Filella, I.; Penuelas, J. 2000. Remote sensing of biomass and yield of winter wheat under different nitrogen supplies. Crop Science 40: 723-731.
34. Schmidt, K.S.; Skidmore, A.K. 2003. Spectral discrimination of vegetation types in a coastal wetland. Remote Sensing of Environment 85: 92-108.
35. Stagakis, S.; Markos, N.; Sykioti, O.; Kyparissis, A. 2010. Monitoring canopy biophysical and biochemical parameters in ecosystem scale using satellite hyperspectral imagery: an application on a Phlomis fruticosa Mediterranean ecosystem using multiangular CHRIS/PROBA observations. Remote Sensing of Environment 114: 977-994.
36. Thenkabail, P.S.; Smith, R.B.; Pauw, E. 2000. Hyperspectral vegetation indices and their relationships with agricultural crop characteristics. Remote Sensing of Environment 71: 158-182.
37. Thenkabail, P.S.; Enclonab, E.A.; Ashtonb, M.S.; Der Meerd, B.V. 2004. Accuracy assessments of hyperspectral waveband performance for vegetation analysis applications. Remote Sensing of Environment 91: 354-376.
38. Urchei, M.A.; Rodrigues, J.D.; Stone, L.F. 2000. Growth analysis of two bean cultivars under irrigation in no tillage and the conventional tillage. Pesquisa Agropecuária Brasileira 35: 497-506 (in Portuguese, with abstract in English).
39. Xavier, A.C.; Rudorff, B.F.T.; Moreira, M.A.; Alvarenga, B.S.; Freitas, J.G.; Salomom, M.V. 2006. Hyperspectral field reflectance measurements to estimate wheat grain yield and plant height. Scientia Agricola 63: 130-138.
40. Yang, C.M.; Chen, R.K. 2004. Modeling rice growth with hyperespectral reflectance data. Crop Science 44: 1283-1290.