Comparison of different vegetation indices for the remote assessment of green leaf area index of crops

Remote Sensing of Environment

Volumn 115, Issue 12, 2011, Pages 3468-3478

  Viña, Andrés ^a   Gitelson, Anatoly A ^b   Nguy Robertson, Anthony L ^b   Peng, Yi ^b  

^a MICHIGAN STATE UNIVERSITY   (United States)

^b UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

Chlorophyll indices; Green LAI; Maize; Soybean

Indexed keywords

ACCURATE ESTIMATION; BIOPHYSICAL CHARACTERISTICS; CHLOROPHYLL INDEX; CLOSE RANGE; FIELD SPECTRORADIOMETERS; GREEN LAI; HYPERSPECTRAL IMAGING; LEAF AREA INDEX; LEAF STRUCTURE; LINEAR RELATIONSHIPS; LOCAL CONDITIONS; LOW SENSITIVITY; MAIZE; MULTI-SPECTRAL; RADIATIVE TRANSFER MODEL; REFLECTANCE SPECTRUM; REMOTE ASSESSMENT; REMOTE ESTIMATION; REPARAMETERIZATION; SOYBEAN; SPECTRAL BAND; SPECTRAL VEGETATION INDICES; STATISTICAL APPROACH; VEGETATION INDEX; VEGETATION TYPE; VISIBLE AND NEAR INFRARED;

ALGORITHMS; CHLOROPHYLL; CROPS; GRAIN (AGRICULTURAL PRODUCT); NETWORK ARCHITECTURE; NEURAL NETWORKS; RADIATIVE TRANSFER; RADIOMETERS; RATING; REFLECTION; VEGETATION;

ESTIMATION;

ACCURACY ASSESSMENT; ALGORITHM; ARTIFICIAL NEURAL NETWORK; CHLOROPHYLL; COMPARATIVE STUDY; LEAF AREA INDEX; MAIZE; NUMERICAL MODEL; PARAMETERIZATION; SOYBEAN; SPECTRAL REFLECTANCE; SPECTROMETER; VEGETATION TYPE;

GLYCINE MAX; ZEA MAYS;

EID: 81355146796     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2011.08.010     Document Type: Article

References (56)

1. Boegh E., Soegaard H., Broge N., Hasager C.B., Jensen N.O., Schelde K., et al. Airborne multispectral data for quantifying leaf area index, nitrogen concentration, and photosynthetic efficiency in agriculture. Remote Sensing of Environment 2002, 81:179-193.
2. Bonan G.B. Importance of leaf-area index and forest type when estimating photosynthesis in boreal forests. Remote Sensing of Environment 1993, 43:303-314.
3. Breda N.J.J. Ground-based measurements of leaf area index: A review of methods, instruments and current controversies. Journal of Experimental Botany 2003, 54:2403-2417.
4. Breitenbeck G.A., Bremner J.M. Effects of various nitrogen fertilizers on emission of nitrous-oxide from soils. Biology and Fertility of Soils 1986, 2:195-199.
5. 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 2001, 76:156-172.
6. Broge N.H., Mortensen J.V. Deriving green crop area index and canopy chlorophyll density of winter wheat from spectral reflectance data. Remote Sensing of Environment 2002, 81:45-57.
7. Chen J.M., Cihlar J. Retrieving leaf area index of boreal conifer forests using Landsat TM images. Remote Sensing of Environment 1996, 55:153-162.
8. Ciganda V., Gitelson A., Schepers J. Vertical profile and temporal variation of chlorophyll in maize canopy: Quantitative "crop vigor" indicator by means of reflectance-based techniques. Agronomy Journal 2008, 100:1409-1417.
9. Clevers J.G.P.W. The application of a weighted infrared-red vegetation index for estimating leaf-area index by correcting for soil-moisture. Remote Sensing of Environment 1989, 29:25-37.
10. Colombo R., Bellingeri D., Fasolini D., Marino C.M. Retrieval of leaf area index in different vegetation types using high resolution satellite data. Remote Sensing of Environment 2003, 86:120-131.
11. Cowling S.A., Field C.B. Environmental control of leaf area production: Implications for vegetation and land-surface modeling. Global Biogeochemical Cycles 2003, 17:1007. 10.1029/2002GB001915.
12. Curran P.J. Estimating green LAI from multispectral aerial-photography. Photogrammetric Engineering and Remote Sensing 1983, 49:1709-1720.
13. Curran P.J. Multispectral remote-sensing for the estimation of green leaf-area index. Philosophical Transactions of the Royal Society of London Series a-Mathematical Physical and Engineering Sciences 1983, 309:257-270.
14. Dash J., Curran P.J. The MERIS terrestrial chlorophyll index. International Journal of Remote Sensing 2004, 25:5403-5413.
15. Eichner M.J. Nitrous-oxide emissions from fertilized soils - Summary of available data. Journal of Environmental Quality 1990, 19:272-280.
16. Fang H.L., Liang S.L., Kuusk A. Retrieving leaf area index using a genetic algorithm with a canopy radiative transfer model. Remote Sensing of Environment 2003, 85:257-270.
17. Field C.B., Avissar R. Bidirectional interactions between the biosphere and the atmosphere - Introduction. Global Change Biology 1998, 4:459-460.
18. Gitelson A.A. Wide dynamic range vegetation index for remote quantification of biophysical characteristics of vegetation. Journal of Plant Physiology 2004, 161:165-173.
19. 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.
20. Gitelson A.A., Kaufman Y.J., Merzlyak M.N. Use of a green channel in remote sensing of global vegetation from EOS-MODIS. Remote Sensing of Environment 1996, 58:289-298.
21. 2 flux in maize. Geophysical Research Letters 2003, 30:486. 10.1029/2002GL016543.
22. Gitelson A.A., Viña A., Arkebauer T.J., Rundquist D.C., Keydan G., Leavitt B. Remote estimation of leaf area index and green leaf biomass in maize canopies. Geophysical Research Letters 2003, 30:1248. 10.1029/2002GL016450.
23. Gitelson A.A., Viña A., Ciganda V., Rundquist D.C., Arkebauer T.J. Remote estimation of canopy chlorophyll content in crops. Geophysical Research Letters 2005, 32:L08403. 10.1029/2005GL022688.
24. Gitelson A.A., Viña A., Masek J.G., Verma S.B., Suyker A.E. Synoptic monitoring of gross primary productivity of maize using landsat data. IEEE Geoscience and Remote Sensing Letters 2008, 5:133-137.
25. Gitelson A.A., Viña A., Verma S.B., Rundquist D.C., Arkebauer T.J., Keydan G., et al. Relationship between gross primary production and chlorophyll content in crops: Implications for the synoptic monitoring of vegetation productivity. Journal of Geophysical Research-Atmospheres 2006, 111:D08S11. 10.1029/2005JD006017.
26. Gobron N., Pinty B., Verstraete M.M., Govaerts Y. A semidiscrete model for the scattering of light by vegetation. Journal of Geophysical Research-Atmospheres 1997, 102:9431-9446.
27. Gobron N., Pinty B., Verstraete M.M., Widlowski J.L. Advanced vegetation indices optimized for up-coming sensors: Design, performance, and applications. IEEE Transactions on Geoscience and Remote Sensing 2000, 38:2489-2505.
28. Govaerts Y.M., Verstraete M.M., Pinty B., Gobron N. Designing optimal spectral indices: A feasibility and proof of concept study. International Journal of Remote Sensing 1999, 20:1853-1873.
29. Harris A., Dash J. The potential of the MERIS terrestrial chlorophyll index for carbon flux estimation. Remote Sensing of Environment 2010, 114:1856-1862.
30. Hilker T., Gitelson A., Coops N.C., Hall F.G., Black T.A. Tracking plant physiological properties from multi-angular tower-based remote sensing. Oecologia 2011, 165:865-876.
31. Huete A.R., Justice C., van Leeuwen W. MODIS vegetation index (mod13). Algorithm theoretical basis document. Version 2 1996, 115. NASA Goddard Space Flight Center, Greenbelt, Maryland 20771. USA.
32. Huete A.R., Liu H.Q., Batchily K., vanLeeuwen W. A comparison of vegetation indices global set of TM images for EOS-MODIS. Remote Sensing of Environment 1997, 59:440-451.
33. 4 reference reflectance panels. Remote Sensing of Environment 1992, 40:231-239.
34. Jordan C.F. Derivation of leaf-area index from quality of light on forest floor. Ecology 1969, 50:663.
35. Knyazikhin Y., Martonchik J.V., Diner D.J., Myneni R.B., Verstraete M., Pinty B., et al. Estimation of vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from atmosphere-corrected MISR data. Journal of Geophysical Research-Atmospheres 1998, 103:32239-32256.
36. Knyazikhin Y., Martonchik J.V., Myneni R.B., Diner D.J., 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-Atmospheres 1998, 103:32257-32275.
37. Kohavi R. A study of cross-validation and bootstrap for accuracy estimation and model selection. International joint conference on artificial intelligence (IJCAI) 1995, 1137-1143. Morgan Kaufmann, Los Altos, CA, Montreal, Quebec, Canada. C.S. Mellish (Ed.).
38. Moulin S., Guerif M. Impacts of model parameter uncertainties on crop reflectance estimates: A regional case study on wheat. International Journal of Remote Sensing 1999, 20:213-218.
39. Myneni R.B., Hall F.G., Sellers P.J., Marshak A.L. The interpretation of spectral vegetation indexes. IEEE Transactions on Geoscience and Remote Sensing 1995, 33:481-486.
40. Myneni R.B., Nemani R.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.
41. Peng Y., Gitelson A., Keydan G., Rundquist D., Moses W. Remote estimation of gross primary production in maize and support for a new paradigm based on total crop chlorophyll content. Remote Sensing of Environment 2011, 115:978-989.
42. Pielke R.A., Avissar R., Raupach M., Dolman A.J., Zeng X.B., Denning A.S. Interactions between the atmosphere and terrestrial ecosystems: Influence on weather and climate. Global Change Biology 1998, 4:461-475.
43. Pinty B., Lavergne T., Widlowski J.L., Gobron N., Verstraete M.M. On the need to observe vegetation canopies in the near-infrared to estimate visible light absorption. Remote Sensing of Environment 2009, 113:10-23.
44. Pinty B., Leprieur C., Verstraete M.M. Towards a quantitative interpretation of spectral vegetation indexes. Remote Sensing Reviews 1993, 7:127-150.
45. Rouse J.W., Haas R.H., Schell J.A., Deering D.W. Monitoring vegetation systems in the Great Plains with ERTS. Third ERTS-1 Symposium 1974, 309-317. NASA, Washington, DC.
46. Rundquist D., Perk R., Leavitt B., Keydan G., Gitelson A. Collecting spectral data over cropland vegetation using machine-positioning versus hand-positioning of the sensor. Computers and Electronics in Agriculture 2004, 43:173-178.
47. Running S.W. Estimating terrestrial primary productivity by combining remote sensing and ecosystem simulation. Remote sensing of biosphere functioning 1990, 65-86. Springer-Verlag. R.J. Hobbs, H.A. Mooney (Eds.).
48. Running S.W., Coughlan J.C. A general-model of forest ecosystem processes for regional applications. 1. Hydrologic balance, canopy gas-exchange and primary production processes. Ecological Modelling 1988, 42:125-154.
49. Sellers P.J., Mintz Y., Sud Y.C., Dalcher A. A simple biosphere model (SiB) for use within general-circulation models. Journal of the Atmospheric Sciences 1986, 43:505-531.
50. Suyker A.E., Verma S.B., Burba G.G., Arkebauer T.J., Walters D.T., Hubbard K.G. Growing season carbon dioxide exchange in irrigated and rainfed maize. Agricultural and Forest Meteorology 2004, 124:1-13.
51. Verma S.B., Dobermann A., Cassman K.G., Walters D.T., Knops J.M., Arkebauer T.J., et al. Annual carbon dioxide exchange in irrigated and rainfed maize-based agroecosystems. Agricultural and Forest Meteorology 2005, 131:77-96.
52. Verstraete M.M., Pinty B., Myneni R.B. Potential and limitations of information extraction on the terrestrial biosphere from satellite remote sensing. Remote Sensing of Environment 1996, 58:201-214.
53. Viña A., Gitelson A.A. New developments in the remote estimation of the fraction of absorbed photosynthetically active radiation in crops. Geophysical Research Letters 2005, 32:L17403. 10.1029/2005GL023647.
54. Weiss M., Baret F., Leroy M., Begue A., Hautecoeur O., Santer R. Hemispherical reflectance and albedo estimates from the accumulation of across-track sun-synchronous satellite data. Journal of Geophysical Research-Atmospheres 1999, 104:22221-22232.
55. Wiegand C.L., Richardson A.J., Kanemasu E.T. Leaf area index estimates for wheat from Landsat and their implications for evapotranspiration and crop modeling. Agronomy Journal 1979, 71:336-342.
56. Xiao X., He L., Salas W., Li C., Moore B., Zhao R., et al. Quantitative relationships between field-measured leaf area index and vegetation index derived from vegetation images for paddy rice fields. International Journal of Remote Sensing 2002, 23:3595-3604.