Normalized difference spectral indices for estimating photosynthetic efficiency and capacity at a canopy scale derived from hyperspectral and CO2 flux measurements in rice

Remote Sensing of Environment

Volumn 112, Issue 1, 2008, Pages 156-172

  Inoue, Y ^a   Penuelas J ^b   Miyata, A ^a   Mano, M ^a  

^a NATIONAL INSTITUTE FOR AGRO ENVIRONMENTAL SCIENCES   (Japan)

^b UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

Author keywords

CO2 flux; Eddy covariance; fAPAR; GPP; Hyperspectra; Radiation use efficiency; Spectral index

Indexed keywords

ATMOSPHERIC RADIATION; CULTIVATION; ECOSYSTEMS; MEASUREMENT THEORY; PARAMETER ESTIMATION; PHOTOSYNTHESIS; QUANTUM EFFICIENCY; WAVELENGTH;

HYPERSPECTRA; MICROMETEOROLOGICAL; RADIATION USE EFFICIENCY; SPECTRAL INDEX;

CROPS;

CANOPY; CARBON DIOXIDE; CARBON FLUX; DATA SET; ECOPHYSIOLOGY; EDDY COVARIANCE; EXPERIMENTAL STUDY; LIGHT USE EFFICIENCY; MICROMETEOROLOGY; NET ECOSYSTEM EXCHANGE; NET PRIMARY PRODUCTION; PHOTOSYNTHESIS; RICE; SPECTRAL REFLECTANCE; SPECTRAL RESOLUTION; STATISTICAL ANALYSIS;

EID: 36249017351     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2007.04.011     Document Type: Article

References (75)

1. Adams M.L., Philpot W.D., and Norvell W.A. Yellowness index: An application of spectral second derivatives to estimate chlorosis of leaves in stressed vegetation. International Journal of Remote Sensing 20 (1999) 3663-3675
2. Asner G.P., Braswell B.H., Schimel D.S., and Wessman C.A. Ecological research needs from multi-angle remote sensing data. Remote Sensing of Environment 63 (1998) 155-165
3. Asrar G., Fuchs M., Kanemasu E.T., and Hatfield J.L. Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat. Agronomy Journal 76 (1984) 300-306
4. Asrar G., Myneni R.B., and Kanemasu E.T. Estimation of plant-canopy attributes from spectral reflectance measurements. In: Asrar G. (Ed). Theory and application of optical remote sensing (1989), Wiley Interscience, New York 252-296
5. Baret F., and Guyot G. Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sensing of Environment 35 (1991) 161-173
6. Barton C.V.M., and North P.R.J. Remote sensing of canopy light use efficiency using the photochemical reflectance index - Model and sensitivity analysis. Remote Sensing of Environment 78 (2001) 264-273
7. Bicheron P., and Leroy M. A method of biophysical parameter retrieval at global scale by inversion of a vegetation reflectance model. Remote Sensing of Environment 67 (1999) 251-266
8. Campbell C.S., Heilman J.L., McInnes K.J., Wilson L.T., Medley J.C., Wu G., et al. Seasonal variation in radiation use efficiency of irrigated rice. Agricultural and Forest Meteorology 110 (2001) 45-54
9. Carter G.A. Reflectance wavebands and indices for remote estimation of photosynthesis and stomatal conductance in pine canopies. Remote Sensing of Environment 63 (1998) 61-72
10. Chappelle E.W., Kim M.S., and Mcmurtrey III J.E. Ratio analysis of reflectance spectra (RARS): An algorithm for the remote estimation of the concentrations of Chlorophyll a, Chlorophyll b, and carotenoids in soybean leaves. Remote Sensing of Environment 39 (1992) 239-247
11. Chen J.M., Liu J., Leblanc S.G., Lacaze R., and Roujean J.L. Multi-angular optical remote sensing for assessing vegetation structure and carbon absorption. Remote Sensing of Environment 84 (2003) 516-525
12. Choudhury B.J. A sensitivity analysis of the radiation use efficiency for gross photosynthesis and net carbon accumulation by wheat. Agricultural and Forest Meteorology 101 (2000) 217-234
13. Cultivated Soil Classification Committee. Classification of Cultivated Soils in Japan: Third Approximation. Miscellaneous Publication of the National Institute of Agro-Environmental Sciences 17 (1995) 79
14. Curran P.J. Remote sensing of foliar chemistry. Remote Sensing of Environment 30 (1989) 271-278
15. Daughtry C.S.T., Gallo K.P., and Bauer M.E. Spectral estimates of solar radiation intercepted by corn canopies. Agronomy Journal 75 (1983) 527-531
16. Drolet G.G., Huemmrich K.F., Hall F.G., Middleton E.M., Black T.A., Barr A.G., et al. A MODIS-derived photochemical reflectance index to detect inter-annual variations in the photosynthetic light-use efficiency of a boreal deciduous forest. Remote Sensing of Environment 98 (2005) 212-224
17. 2 exchange between the atmosphere and the subarctic tundra. Journal of Geophysical Research D, Atmospheres 97 (1992) 16627-16643
18. Filella I., Amano T., Araus J.L., and Peñuelas J. Relationship between photosynthetic radiation-use efficiency of barley canopies and the photochemical reflectance index (PRI). Physiologia Plantarum 96 (1996) 211-216
19. 2 uptake of a Mediterranean shrubland submitted to experimental warming and drought. Remote Sensing of Environment 90 (2004) 308-318
20. Gamon J.A., Peñuelas J., and Field C.B. A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sensing of Environment 41 (1992) 35-44
21. Gamon J.A., Rahman A.F., Duncan J.L., Schildhauer M., and Huemmrich K.F. Spectral Network (SpecNet) - What is it and why do we need it?. Remote Sensing of Environment 103 (2006) 227-235
22. Gamon J.A., Serrano L., and Surfus J.S. The photosynthetic reflectance index: An optical indicator of photosynthetic radiation use efficiency across species, functional types, and nutrient levels. Oeocologia 112 (1997) 492-501
23. Gitelson A.A., and Merzlyak M.N. Remote estimation of chlorophyll content in higher plant leaves. International Journal of Remote Sensing 18 (1997) 2691-2697
24. Goetz S.J., Prince S.D., Goward S.N., Thawley M.M., and Small J. Satellite remote sensing of primary production: An improved production efficiency modeling approach. Ecological Modeling 122 (1999) 239-255
25. Grace J. Role of forest biomes in the global carbon balance. In: Griffiths H., and Jarvis P.G. (Eds). The carbon balance of forest biomes (2005), Taylor & Francis Group, New York 19-46
26. Grossman Y.L., Ustin S.L., Jacquemoud S., Sanderson E.W., Schmuck G., and Verdebout J. Critique of stepwise multiple linear regression for the extraction of leaf biochemistry information from leaf reflectance data. Remote Sensing of Environment 56 (1996) 182-193
27. Huete A.R. A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment 25 (1988) 89-105
28. Inada K. Spectral ratio of reflectance for estimating chlorophyll content of leaf. Japanese Journal of Crop Science 154 (1985) 261-265
29. Inoue Y. Synergy of remote sensing and modeling for estimating ecophysiological processes in plant production. Plant Production Science 6 (2003) 3-16
30. Inoue Y., and Iwasaki K. Spectral estimation of radiation absorptance and leaf area index in corn canopies as affected by canopy architecture and growth stage. Japanese Journal of Crop Science 60 (1991) 578-580
31. Inoue Y., Kimball B.A., Jackson R.D., Pinter P.J., and Reginato R.J. Remote estimation of leaf transpiration rate and stomatal resistance based on infrared thermometry. Agricultural and Forest Meteorology 51 (1990) 21-33
32. 2 flux measurements by eddy covariance method - A case study in rice paddy ecosystem. Proceedings of the 38th Conference of the Remote Sensing Society of Japan (2005) 71-72 (in Japanese with English summary)
33. Inoue Y., Moran M.S., and Horie T. Analysis of spectral measurements in rice paddies for predicting rice growth and yield based on a simple crop simulation model. Plant Production Science 1 (1998) 269-279
34. Inoue Y., Morinaga S., and Shibayama M. Non-destructive estimation of water status of intact crop leaves based on spectral reflectance measurements. Japanese Journal of Crop Science 62 (1993) 462-469
35. 2 flux and biomass production in agricultural field by synergy of process model and remotely sensed signature. Journal of Geophysical Research D, Atmospheres 111 (2006) D24S91 10.1029/2006JD007469
36. Inoue Y., and Peñuelas J. Relationship between light use efficiency and photochemical reflectance index in soybean leaves as affected by soil water content. International Journal of Remote Sensing 27 (2006) 5249-5254
37. Inoue Y., Sakuratani T., Shibayama M., and Morinaga S. Remote and real-time sensing of canopy transpiration and conductance - Comparison of remote and stem flow gauge methods in soybean canopies as affected by soil water status. Japanese Journal of Crop Science 63 (1994) 664-670
38. Jacquemoud S. Inversion of the PROSPECT + SAIL canopy reflectance model from AVIRIS equivalent spectra: Theoretical study. Remote Sensing of Environment 44 (1993) 281-292
39. Kiniry J.R., Jones C.A., O'Toole J.C., Blanchet R., Cabelguenne M., and Spanel D.A. Radiation-use efficiency in biomass accumulation prior to grain-filling for five grain-crop species. Field Crops Research 20 (1989) 51-64
40. Kljun N., Kastner-Klein P., Fedorovich E., and Rotach M.W. Evaluation of Lagrangian footprint model using data from wind tunnel convective boundary layer. Agricultural and Forest Meteorology 127 (2004) 189-201
41. Kumar M., and Monteith J.L. Remote sensing of crop growth. In: Smith H. (Ed). Plants and the daylight spectrum (1982), Academic Press, London 133-144
42. Maisongrande P., Ruimy A., Dedieu G., and Saugier B. Monitoring seasonal and interannual variations of gross primary productivity, net primary productivity and net ecosystem productivity using a diagnostic model and remotely-sensed data. Tellus 47B (1995) 178-190
43. Miyata A., Leuning R., Denmead O.T., Kim J., and Harazono Y. Carbon dioxide and methane fluxes from an intermittently flooded paddy field. Agricultural and Forest Meteorology 102 (2000) 287-303
44. Monteith J.L. Climate and the efficiency of crop production in Britain. Philosophical Transactions of the Royal Society B 281 (1977) 277-294
45. Moran M.S., Inoue Y., and Barnes E.M. Opportunities and limitations for image-based remote sensing in precision crop management. Remote Sensing of Environment 61 (1997) 319-346
46. Myneni R.B., and Williams D.L. On the relationship between FAPAR and NDVI. Remote Sensing of Environment 49 (1994) 200-211
47. Nouvellon Y., Seen D.L., Rambal S., Bégué A., Moran M.S., Kerr Y., et al. Time course of radiation use efficiency in a shortgrass ecosystem: Consequences for remotely sensed estimation of primary production. Remote Sensing of Environment 71 (2000) 43-55
48. Olioso A., Chauki H., Courault D., and Wigneron J.P. Estimation of evapotranspiration and photosynthesis by assimilation of remote sensing data into SVAT models. Remote Sensing of Environment 68 (1999) 341-356
49. Olioso A., Inoue Y., Ortega-Farias S., Demarty J., Wigneron J.P., Braud I., et al. Future directions for advanced evapotranspiration modeling: Assimilation of remote sensing data into crop simulation models and SVAT models. Irrigation and Drainage Systems 19 (2005) 377-412
50. Peñuelas J., and Filella I. Visible and near-infrared reflectance techniques for diagnosing plant physiological status. Trends in Plant Science 3 (1998) 151-156
51. Peñuelas J., Filella I., and Gamon J.A. Assessment of plant photosynthetic radiation-use efficiency with spectral reflectance. New Phytologist 131 (1995) 291-296
52. Peñuelas J., and Inoue Y. Reflectance indices indicative of changes in water and pigment content of peanut and wheat leaves. Photosynthetica 36 (1999) 355-360
53. 2 uptake. International Journal of Remote Sensing 21 (2000) 3353-3356
54. Pinter P.J., Jackson R.D., Ezra C.E., and Gausman H.W. Sun angle and canopy architecture effects on the reflectance of six wheat cultivars. International Journal of Remote Sensing 6 (1985) 1813-1825
55. Potter C.P., Randerson J.T., Field C.B., Matson P.A., Vitousek P.M., Mooney H.A., et al. Terrestrial ecosystem production: A process model based on global satellite and surface data. Global Biogeochemical Cycles 7 (1993) 811-841
56. Qi J., Chehbouni A., Huete A.R., Kerr Y.H., and Sorooshian S. A modified soil adjusted vegetation index. Remote Sensing of Environment 48 (1994) 119-126
57. Rahman A.F., Gamon J.A., Fuentes D.A., Roberts D.A., and Prentiss D. Modeling spatially distributed ecosystem flux of boreal forest using hyperspectral indices from AVIRIS imagery. Journal of Geophysical Research 106 D24 (2001) 33579-33592
58. Roy J., and Saugier B. Terrestrial primary productivity: Definitions and milestones. In: Roy J., Saugier B., and Mooney H.A. (Eds). Terrestrial global productivity (2001), Academic Press, New York 1-6
59. Ruimy A., Saugier B., and Dedieu G. Methodology for the estimation of terrestrial net primary production from remotely sensed data. Journal of Geophysical Research 99 (1994) 5263-5283
60. Saito M., Miyata A., Nagai H., and Yamada T. Seasonal variation of carbon dioxide exchange in rice paddy field in Japan. Agricultural and Forest Meteorology 135 (2005) 93-109
61. Shibles R.M., and Weber R.C. Interception of solar radiation and dry matter production by various soybean planting patterns. Crop Science 6 (1966) 55-59
62. 2 exchange in response to drought in a Southern California chaparral ecosystem. Remote Sensing of Environment 103 (2006) 289-303
63. 2 flux and light use efficiency during satellite overpasses can be used to directly estimate eight-day mean flux. Agricultural and Forest Meteorology 131 (2005) 1-12
64. Sinclair T.R. Limits to crop yield?. In: Boote K.J., Bennet J.M., Sinclair T.R., and Paulsen G.M. (Eds). Physiology and determination of crop yield (1994), American Society of Agronomy, Madison, WI 509-532
65. Soil Survey Staff. Keys to Soil Taxonomy. (5th ed.). SMSS Technical Monograph 19 (1992), Pocahontas Press Inc, VA, USA
66. Taconet O., Olioso A., Ben Mehrez M., and Brisson N. Seasonal estimation of evaporation and stomatal conductance over a soybean field using surface infrared temperature. Agricultural and Forest Meteorology 73 (1995) 321-337
67. Takahashi W., Nguyen-Cong V., Kawaguchi S., and Minamiyama M. Statistical models for prediction of dry weight and nitrogen accumulation based on visible and near-infrared hyper-spectral reflectance of rice canopies. Plant Production Science 3 (2000) 377-386
68. Takebe M., Yoneyama T., Inada K., and Murakami T. Spectral reflectance of rice canopy for estimating crop nitrogen status. Plant and Soil 122 (1990) 295-297
69. Thenot F., Méthy M., and Winkel T. The photochemical reflectance index (PRI) as a water-stress index. International Journal of Remote Sensing 23 (2002) 5135-5139
70. Trotter G.M., Whitehead D., and Pinkney E.J. The photochemical reflectance index as a measure of photosynthetic light use efficiency for plants with varying foliar nitrogen contents. International Journal of Remote Sensing 23 (2002) 1207-1212
71. Turner D.P., Gower S.T., Cohen W.B., Gregory M., and Maiersperger T.K. Effects of spatial variability in light use efficiency on satellite-based NPP monitoring. Remote Sensing of Environment 80 (2002) 397-405
72. Veroustraete F., Patyn J., and Myneni R.B. Estimating net ecosystem exchange of carbon using the normalized difference vegetation index and an ecosystem model. Remote Sensing of Environment 58 (1996) 115-130
73. Wall G.W., and Kanemasu E.T. Carbon dioxide exchange rates in wheat canopies. Part 1. Influence of canopy geometry on trends in leaf area index, light interception and instantaneous exchange rates. Agricultural and Forest Meteorology 49 (1990) 81-102
74. Webb E.K., Pearman G.I., and Leuning R. Correction for flux measurements for density effects due to heat and water vapor transfer. Quarterly Journal of Royal Meteorological Society 106 (1980) 85-100
75. Yoder B.J., and Pettigrew-Crosby R.E. Predicting nitrogen and chlorophyll content and concentrations form reflectance spectra (400-2500 nm) at leaf and canopy scales. Remote Sensing of Environment 53 (1995) 199-211