Evaluation of the information content of Medium Resolution Imaging Spectrometer (MERIS) data for regional leaf area index assessment

Remote Sensing of Environment

Volumn 119, Issue , 2012, Pages 301-314

  Canisius, Francis ^a   Fernandes, Richard ^a  

^a CANADA CENTRE FOR REMOTE SENSING   (Canada)

Author keywords

Hyperspectral; LAI; MERIS; Red edge; Vegetation index

Indexed keywords

HYPERSPECTRAL; LAI; MERIS; RED EDGE; VEGETATION INDEX;

ALGORITHMS; INTERPOLATION; MEAN SQUARE ERROR; SATELLITE IMAGERY; SPECTROMETERS;

VEGETATION;

ACCURACY ASSESSMENT; ALGORITHM; CALIBRATION; ERROR ANALYSIS; LEAF AREA INDEX; MERIS; OPTICAL METHOD; REFLECTANCE; REGRESSION ANALYSIS; RESOLUTION; SATELLITE DATA; SATELLITE IMAGERY; SPATIAL ANALYSIS; SPECTRAL ANALYSIS; VEGETATION INDEX; WAVELENGTH;

HYPERION;

EID: 84856318094     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2011.10.013     Document Type: Article

References (78)

1. Apan A., Held A., Phinn S., Markley J. Detecting sugarcane 'orange rust' disease using EO-1 Hyperion hyperspectral imagery. International Journal of Remote Sensing 2004, 25(2):489-498.
2. Bacour C., Baret F., Béal D., Weiss M., Pavageau K. Neural network estimation of LAI, fAPAR, fCover and LAI×Cab, from top of canopy MERIS reflectance data: Principles and validation. Remote Sensing of Environment 2006, 105:313-325.
3. Baret F., Pavageau K., Beal D., Weiss M., Berthelot B., Regner P., et al. Report on the algorithm theoretical basis document for MERIS Top of Atmosphere Land Products (TOA_VEG) 2006, Contract ESA AO/1-4233/02/I-LG.
4. Bicheron P., Leroy M. A method of biophysical parameter retrieval at global scale by inversion of a vegetation reflectance model. Remote Sensing of Environment 1999, 67:251-266.
5. Blackburn G.A. Spectral indices for estimating photosynthetic pigment concentrations: A test using senescent tree leaves. International Journal of Remote Sensing 1998, 19:657-675.
6. Broge N.H., Leblanc E. Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density. Remote Sensing of Environment 2000, 76:156-172.
7. Butson C., Fernandes R.A. A consistency analysis of surface reflectance and leaf area index retrieval of overlapping clear sky Landsat ETM+-imagery. Remote Sensing of Environment 2004, 89:369-380.
8. Canisius F., Fernandes R., Chen J. Comparison and evaluation of Medium Resolution Imaging Spectrometer leaf area index products across a range of land use. Remote Sensing of Environment 2010, 114:950-960.
9. Carter G.A. Ratios of leaf reflectances in narrow wavebands as indicators of plant stress. Internation al Journal of Remote Sensingm 1994, 15(3):679-703.
10. Chen J.M. Evaluation of vegetation indices and a modified simple ratio for boreal applications. Canadian Journal of Remote Sensing 1996, 22:229-242.
11. Chen J.M., Black T.A. Defining leaf area index for non-flat leaves. Plant, Cell & Environment 1992, 15:421-429.
12. Chen J.M., Pavlic G., Brown L., Cihlar J., Leblanc S.G., White H.P., et al. Derivation and validation of Canada-wide coarse-resolution leaf area index maps using high-resolution satellite imagery and ground measurements. Remote Sensing of Environment 2002, 80:165-184.
13. Cho M.A., Skidmore A.K. A new technique for extracting the red edge position from hyperspectral data: The linear interpolation method. Remote Sensing of Environment 2006, 101(2):181-193.
14. Clevers J.G.P.W. Imaging spectrometry in agriculture-plant vitality and yield indicators. Imaging spectrometry - A tool for environmental observations 1994, 193-219. Kluwer Academic, Dordrecht. J. Hill, J. MeÂgier (Eds.).
15. Clevers J.G.P.W., De Jong S.M., Epema G.F., Van Der Meer F.D., Bakker W.H., Skidmore A.K., et al. Derivation of the red edge index using the MERIS standard band setting. International Journal of Remote Sensing 2002, 23(16):3169-3184.
16. Dash J., Curran P.J. The MERIS terrestrial chlorophyll index. International Journal of Remote Sensing 2004, 25:5403-5413.
17. Daughtry C.S.T., Walthall C.L., Kim M.S., Brown de Colstoun E., McMurtrey J.E. Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance. Remote Sensing of Environment 2000, 74:229-239.
18. Dawson T.P., Curran P.J. A new technique for interpolating the reflectance red edge position. International Journal of Remote Sensing 1998, 19:2133-2139.
19. Demarez V., Duthoit S., Baret F., Weiss M., Dedieu G. Estimation of leaf area and clumping indexes of crops with hemispherical photographs. Agricultural and Forest Meteorology 2008, 148:644-655.
20. Deng F., Chen J.M., Plummer S., Chen M., Pisek J. Algorithm for global leaf area index retrieval using satellite imagery. IEEE Transactions on Geoscience and Remote Sensing 2006, 44(8):2219-2229.
21. Fang H., Liang S., Kuusk A. Retrieving leaf area index using a genetic algorithm with a canopy radiative transfer model. Remote Sensing of Environment 2003, 85:257-270.
22. Fernandes R., Butson C., Leblanc S., Latifovic R. Landsat-5 TM and Landsat-7 ETM+ based accuracy assessment of leaf area index products for Canada derived from SPOT-4 VEGETATION data. Canadian Journal of Remote Sensing 2003, 29(2):241-258.
23. Gamon J.A., Peñuelas J., Field C.B. A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sensing of Environment 1992, 41:35-44.
24. Garrigues S., Lacaze R., Baret F., Morisette J.T., Weiss M., Nickeson J., et al. Validation and intercomparison of global leaf area index products derived from remote sensing data. Journal of Geophysical Research 2008, 113:G02028. 10.1029/2007JG000635.
25. Garrigues S., Shabanov N.V., Swanson K., Morisette J.T., Baret F., Myneni R.B. Intercomparison and sensitivity analysis of Leaf Area Index retrievals from LAI-2000, AccuPAR, and digital hemispherical photography over croplands. Agricultural and Forest Meteorology 2008, 148:1193-1209.
26. GCOS Systematic observation requirements for satellite-based products for climate. Report of United Nations Environment Programme 2006, GCOS-107, WMO/TD No. 1338.
27. Gitelson A.A., Gritz Y., Merzlyak M.N. Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves. Journal of Plant Physiology 2003, 160:271-282.
28. Gitelson A., Merzlyak M. Quantitative estimation of chlorophyll-a using reflectance spectra: experiments with autumn chestnut and maple leaves. Journal of Photochemistry and Photobiology B: Biology 1994, 22:247-252.
29. Gitelson A., Merzlyak M., Lichtenthaler H. Detection of red edge position and chlorophyll content by reflectance measurements near 700 nm. Journal of Plant Physiology 1996, 148:501-508.
30. Gitelson A.A., Kaufman Y.J., Stark R., Rundquist D. Novel algorithms for remote estimation of vegetation fraction. Remote Sensing of Environment 2002, 80:76-87.
31. Gitelson A.A., Merzlyak M.N. Remote estimation of chlorophyll content in higher plant leaves. International Journal of Remote Sensing 1997, 18:2691-2697.
32. Goel N., Quin W. Influences of canopy architecture on relationships between various spectral indices and LAI and FPAR: A computer simulation. Remote Sensing Reviews 1994, 10:309-347.
33. Gong P., Pu R., Biging G.S., Larrieu M.R. Estimation of forest leaf area index using vegetation indices derived from hyperion hyperspectral data. IEEE Transactions on Geoscience and Remote Sensing 2003, 41(6):1355-1362.
34. Guyot G., Baret F. Utilisation de la Haute Resolution Spectrale Pour Suivre I'etat des Couverts Vegetaux. ESA Publication 1988, SP-287:279-286. ESA, Aussois, Paris, January18-22.
35. Haboudane D., Miller J.R., Pattey E., Zarco-Tejada P.J., Strachan I.B. Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture. Remote Sensing of Environment 2004, 90:337-352.
36. Houborg R., Soegaard H., Boegh E. Combining vegetation index and model inversion methods for the extraction of key vegetation biophysical parameters using Terra and Aqua MODIS reflectance data. Remote Sensing of Environment 2007, 106:39-58.
37. Huete A.R. A soil-adjusted vegetation index. Remote Sensing of Environment 1988, 25:295-309.
38. Imanishi J., Sugimoto K., Morimoto Y. Detecting drought status and LAI of two Quercus species canopies using derivative spectra. Computers and Electronics in Agriculture 2004, 43(2):109-129.
39. Jordan Carl F. Derivation of leaf-area index from quality of light on the forest floor. Ecology 1969, 50:663-666. [doi:10.2307/1936256].
40. Kaufman Y.J., Tanre D. Atmospherically resistant vegetation index (ARVI) for EOS-MODIS, in Proc. IEEE Int. Geosci. and Remote Sensing Symp. '92, IEEE, New York 1992, 261-270.
41. Kaufman Y.J., Tanré D., Remer L.A., Vermote E.F., Chu A., Holben B.N. Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer. Journal of Geophysical Research 1997, 102:17051-17067.
42. Kim M.S., Daughtry C.S.T., Chappelle E.W., McMurtrey J.E., Walthall C.L. The use of high spectral resolution bands for estimating absorbed photosynthetically active radiation. ISPRS sixth international colloquium on physical measurements and signatures in remote sensing, Val d'Isère, France, 17-21. European Space Agency January 1994, 29:9-306.
43. Knyazhikin Y., Martchonik J.V., Myneni R.B., Diner D., Running S.W. Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data. Journal of Geophysical Research 1998, 103, 32,257-32,276.
44. le Maire G., François C., Soudani K., Berveiller D., Pontailler J.-Y., Bréda N., et al. Calibration and validation of hyperspectral indices for the estimation of broadleaved forest leaf chlorophyll content, leaf mass per area, leaf area index and leaf canopy biomass. Remote Sensing of Environment 2008, 112:3846-3864.
45. Leblanc S.G., Chen J.M., Fernandes R., Deering D.W., Conley A. Methodology comparison for canopy structure parameters extraction from digital hemispherical photography in boreal forests. Agricultural and Forest Meteorology 2005, 129:187-207.
46. Lee K.-S., Cohen W.B., Kennedy R.E., Maiersperger T.K., Gower S.T. Hyperspectral versus multispectral data for estimating leaf area index in four different biomes. Remote Sensing of Environment 2004, 91:508-520.
47. Liu J., Miller J.R., Haboudane D., Pattey E., Nolin M.C. Variability of seasonal CASI image data products and potential application for management zone delineation for precision agriculture. Canadian Journal of Remote Sensing 2005, 31(5):400-411.
48. Liu J.G., Moore J. Hue image RGB colour composition. A simple technique to suppress shadow and enhance spectral signature. International Journal of Remote Sensing 1990, 11(8):1521-1530.
49. López-Lozano R., Baret F., García de Cortázar-Atauri I., Bertrand N., Casterad M.A. Optimal geometric configuration and algorithms for LAI indirect estimates under row canopies: The case of vineyards. Agricultural and Forest Meteorology 2009, 149(8):1307-1316.
50. Merzlyak M.N., Gitelson A.A., Chivkunova O.B., Rakitin V.Y. Non-destructive optical detection of pigment changes during leaf senescence and fruit ripening. Physiologia Plantarum 1999, 106:135-141.
51. Morisette J.T., Baret F., Privette J.L., Myneni R.B., Nickeson J., Garrigues S., et al. Validation of global moderate-resolution LAI Products: A framework proposed within the CEOS Land Product Validation subgroup. IEEE Transactions on Geoscience and Remote Sensing 2006, 44:1804-1817.
52. Mutanga O., Skidmore A.K. Narrow band vegetation indices overcome the saturation problem in biomass estimation. International Journal of Remote Sensing 2004, 25(19):3999-4014.
53. Mutanga O., Skidmore A.K. Red edge shift and biochemical content in grass canopies. ISPRS Journal of Photogrammetry and Remote Sensing 2007, 62:34-42.
54. Myneni R.B., Nemani R., Running S.W. Estimation of global leaf area index and absorbed PAR using radiative transfer models. IEEE Transactions on Geoscience and Remote Sensing 1997, 35:1380-1393.
55. Myneni R.B., Yang W., Nemani R.R., Huete A.R., Dickinson R.E., Knyazikhin Y., et al. Large seasonal swings in leaf area of Amazon rainforests. Proceedings of the National Academy of Sciences 2007, 104(12):4820-4823.
56. Oppelt N., Mauser W. Hyperspectral monitoring of physiological parameters of wheat during a vegetation period using AVIS data. International Journal of Remote Sensing 2004, 25(1):145-159.
57. Peñuelas J., Baret F., Filella I. Semi-empirical indices to assess carotenoids/chlorophyll a ratio from leaf spectral reflectance. Photosynthetica 1995, 31:221-230.
58. Qi J., Chehbouni A., Huete A.R., Kerr Y.H. Modified Soil Adjusted Vegetation Index (MSAVI). Remote Sensing of Environment 1994, 48:119-126.
59. Rahman H., Dedieu G. SMAC: A simplified method for the atmospheric correction of satellite measurements in the solar spectrum. International Journal of Remote Sensing 1994, 15:123-143.
60. Rast M., Be'zy J.L., Bruzzi S. The ESA Medium Resolution Imaging Spectrometer MERIS - A review of the instrument and its mission. International Journal of Remote Sensing 1999, 20:1681-1702.
61. Rondeaux G., Steven M., Baret F. Optimization of soil -adjusted vegetation index. Remote Sensing of Environment 1996, 24:109-127.
62. Roujean J.L., Bréon F.M. Estimating PAR absorbed by vegetation from bidirectional reflectance measurements. Remote Sensing of Environment 1995, 51:375-384.
63. Rouse J.W., Haas R.H., Schell J.A., Deering D.W., Harlan J.C. Monitoring the vernal advancement and retrogradation (greenwave effect) of natural vegetation 1974, NASA/GSFC Type III Final Report, Greenbelt, Md, 371 p.
64. Schlerf M., Atzberger C., Hill J. Remote sensing of forest biophysical variables using HyMap imaging spectrometer data. Remote Sensing of Environment 2005, 95(2):177-194.
65. Sims D.A., Gamon J.A. Relationship between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sensing of Environment 2002, 81:337-354.
66. Teillet P.M., Staenz K., William D.J. Effects of spectral, spatial, and radiometric characteristics on remote sensing vegetation indices of forested regions. Remote Sensing of Environment 1997, 61:139-149.
67. Thenkabail P.S., Smith R.B., Pauw E.D. Hyperspectral vegetation indices and their relationships with agricultural crop characteristics. Remote Sensing of Environment 2000, 71:158-182.
68. Verrelst J., Schaepman M.E., Koetz B., Kneubühler M. Angular sensitivity analysis of vegetation indices derived from CHRIS/PROBA data. Remote Sensing of Environment 2008, 112:2341-2353.
69. Verstraete M.M., Pinty B., Curran P.J. MERIS potential for land applications. International Journal of Remote Sensing 1999, 20(9):1747-1756.
70. Vogelmann J.E., Rock B.N., Moss D.M. Red-edge spectral measurements of sugar maple leaves. International Journal of Remote Sensing 1993, 14(9):1563-1575.
71. Weiss M., Baret F. Evaluation of canopy biophysical variable retrieval performances from the accumulation of large swath satellite data. Remote Sensing of Environment 1999, 70:293-306.
72. Weiss M., Baret F., Garrigues S., Lacaze R. LAI and fAPAR CYCLOPES global products derived from VEGETATION. Part 2: Validation and intercomparison with MODIS Collection 4 products. Remote Sensing of Environment 2007, 110(3):317-331.
73. Wu C., Niu Z., Tang Q., Huang W. Estimating chlorophyll content from hyperspectral vegetation indices: Modeling and validation. Agricultural and Forest Meteorology 2008, 10.1016/j.agrformet.2008.03.005.
74. Yang W., Tan B., Huang D., Rautiainen M., Shabanov N.V., Wang Y., et al. MODIS leaf area index products: From validation to algorithm improvement. IEEE Transactions on Geoscience and Remote Sensing 2006, 44(7):1885-1898.
75. Zarco-Tejada P.J., Berjón A., López-Lozano R., Miller J.R., Martín P., Cachorro V., et al. Assessing vineyard condition with hyperspectral indices: Leaf and canopy reflectance simulation in a row-structured discontinuous canopy. Remote Sensing of Environment 2005, 99:271-287.
76. Zarco-Tejada P.J., Miller J.R., Mohammed G.H., Noland T.L., Sampson P.H. Scaling-up and model inversion methods with narrow-band optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data. IEEE Transactions on Geoscience and Remote Sensing 2001, 39:1491-1507.
77. Zarco-Tejada P.J., Miller J.R., Morales A., Berjo'n A., Agur̈ era J. Hyperspectral indices and model simulation for chlorophyll estimation in open-canopy tree crops. Remote Sensing of Environment 2004, 90(4):463-476.
78. Zhang J., Staenz K., Eddy P.R., Rochdi N., Rolfson D., Smith A.M. Analysis of spaceborne Hyperion imagery for the estimation of fractional cover of rangeland ecosystems. The International Archives of the Photogrammetry. Remote Sensing and Spatial Information Science 2008, XXXVII. (Part B7), Beijing.