Retrieving wheat Green Area Index during the growing season from optical time series measurements based on neural network radiative transfer inversion

Remote Sensing of Environment

Volumn 115, Issue 3, 2011, Pages 887-896

  Duveiller, Grégory ^a   Weiss, Marie ^b   Baret, Frédéric ^b   Defourny, Pierre ^a  

^a UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

^b UAPV   (France)

Author keywords

Green Area Index; Leaf Area Index; Neural networks; Radiative transfer inversion; Saturation; SPOT HRV; SPOT HRVIR; Time series; Winter wheat

Indexed keywords

GREEN AREAS; LEAF AREA INDEX; SATURATION; SPOT/HRV; SPOT/HRVIR; WINTER WHEAT;

COMPUTATIONAL EFFICIENCY; FORESTRY; RADIATIVE TRANSFER; TIME SERIES;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; GROWING SEASON; LEAF AREA INDEX; RADIATIVE TRANSFER; REGRESSION ANALYSIS; SPATIAL RESOLUTION; SPOT; TIME SERIES; WHEAT;

TRITICUM AESTIVUM;

EID: 78651433715     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2010.11.016     Document Type: Article

References (61)

1. Asrar G., Fuchs M., Kanemasu E.T., Hatfield J.L. Estimating absorbed photosynthetic radiation and leaf-area index from spectral reflectance in wheat. Agronomy Journal 1984, 76(2):300-306.
2. Atzberger C. Object-based retrieval of biophysical canopy variables using artificial neural nets and radiative transfer models. Remote Sensing of Environment 2004, 93(1-2):53-67.
3. Bacour C., Baret F., Beal D., Weiss M., Pavageau K. Neural network estimation of LAI, fAPAR, fCover and LAI x Cab, from top of canopy MERIS reflectance data: Principles and validation. Remote Sensing of Environment 2006, 105(4):313-325.
4. Baret, F. (1986). Contribution au suivi radiométrique de cultures de céréales, Ph.D. thesis, Université de Paris-Sud.
5. Baret F. Vegetation canopy reflectance - Factors of variation and application for agriculture. Remote Sensing and Geographical Information Systems for Resource Management in Developing Countries 1991, 145-167.
6. Baret, F. & Buis, S. (2008). Advances in Land Remote Sensing. System, Modeling, Inversion and Application., chap. Estimating canopy characteristics from remote sensing observations. Review of methods and associated problems (pp. 173-201), Springer Netherlands, unpublished.
7. Baret F., Champion I., Guyot G., Podaire A. Monitoring wheat canopies with a high spectral resolution radiometer. Remote Sensing of Environment 1987, 22(3):367-378.
8. Baret F., de Solan B., Lopez-Lozano R., Ma K., Weiss M. GAI estimates of row crops from downward looking digital photos taken perpendicular to rows at 57.5° zenith angle: Theoretical considerations based on 3D architecture models and application to wheat crops. Agricultural and Forest Meteorology 2010, 150(11):1393-1401.
9. Baret F., Hagolle O., Geiger B., Bicheron P., Miras B., Huc M., Berthelot B., Nino F., Weiss M., Samain O., Roujean J.L., Leroy M. LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION: Part 1: Principles of the algorithm. Remote Sensing of Environment 2007, 110(3):275-286.
10. Baret F., Jacquemoud S., Guyot G., Leprieur C. Modeled analysis of the biophysical nature of spectral shifts and comparison with information-content of broad bands. Remote Sensing of Environment 1992, 41(2-3):133-142.
11. Baret F., Vintila R., Lazar C., Rochdi N., Prevot L., Favard J.C., Boissezon H.D., Lauvernet C., Petcu E., Petcu G., Voicu P., Denux J.P., Poenaru V., Marloie O., Simota C., Radnea C., Turnea D., Cabot F., Henry P. The ADAM database and its potential to investigate high temporal sampling acquisition at high spatial resolution for the monitoring of agricultural crops. Romanian Agricultural Research, (No.16) 2001, 69-80.
12. Bréda N. Ground-based measurements of leaf area index: A review of methods, instruments and current controversies. Journal of Experimental Botany 2003, 54:2403-2417.
13. Bsaibes A., Courault D., Baret F., Weiss M., Olioso A., Jacob F., Hagolle O., Marloie O., Bertrand N., Desfond V., Kzemipour F. Albedo and LAI estimates from FORMOSAT-2 data for crop monitoring. Remote Sensing of Environment 2009, 113(4):716-729.
14. Chance J.E., LeMaster E.W. Plant canopy light absorption model with application to wheat. Applied Optics 1978, 17(16):2629-2636.
15. Chen J.M., Black T.A. Defining leaf area index for non-flat leaves. Plant, Cell & Environment 1992, 15(4):421-429.
16. Chen J.M., Black T.A. Foliage area and architecture of plant canopies from sunfleck size distributions. Agricultural And Forest Meteorology 1992, 60(3-4):249-266.
17. 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(1):25-37.
18. Combal B., Weiss M., Baret F. Improving canopy variables estimation from remote sensing data by exploiting ancillary information. Case study on sugar beet canopies. Agronomie 2002, 22(1):205-215.
19. de Visser P., Marcelis L., van der Heijden G., Vos J., Struik P., Evers J. 3D modelling of plants: A review, Tech. rep. 2002, Plant Research International B.V., Wageningen.
20. 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(4):644-655.
21. Dorigo W., Zurita-Milla R., de Wit A., Brazile J., Singh R., Schaepman M. A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling. International Journal of Applied Earth Observation and Geoinformation 2007, 9:165-193.
22. Duveiller G., Defourny P. A conceptual framework to define the spatial resolution requirements for agricultural monitoring using remote sensing. Remote Sensing of Environment 2010, 114(11):2637-2650.
23. Evers J.B., Vos J., Fournier C., Andrieu B., Chelle M., Struik P.C. An architectural model of spring wheat: Evaluation of the effects of population density and shading on model parameterization and performance. Ecological Modelling 2007, 200(3-4):308-320.
24. Garrigues S., Lacaze R., Baret F., Morisette J.T., Weiss M., Nickeson J.E., Fernandes R., Plummer S., Shabanov N.V., Myneni R.B., Knyazikhin Y., Yang W. Validation and intercomparison of global Leaf Area Index products derived from remote sensing data. Journal of Geophysical Research, Biogeosciences 2008, 113(G2):G02028.
25. Garrigues S., Shabanov N., Swanson K., Morisette J., Baret F., Myneni R. 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(8-9):1193-1209.
26. Gitelson A.A. Wide dynamic range vegetation index for remote quantification of biophysical characteristics of vegetation. Journal of Plant Physiology 2004, 161(2):165-173.
27. Houborg R., Boegh E. Mapping leaf chlorophyll and leaf area index using inverse and forward canopy reflectance modeling and SPOT reflectance data. Remote Sensing of Environment 2008, 112(1):186-202.
28. Huang Z., Turner B.J., Dury S.J., Wallis I.R., Foley W.J. Estimating foliage nitrogen concentration from HYMAP data using continuum removal analysis. Remote Sensing Of Environment 2004, 93(1-2):18-29.
29. Huete A.R. A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment 1988, 25(3):295-309.
30. Huete A.R., Liu H.Q., Batchily K., van Leeuwen W. A comparison of vegetation indices over a global set of TM images for EOS-MODIS. Remote Sensing of Environment 1997, 59(3):440-451.
31. Jacquemoud S., Baret F. PROSPECT: A model of leaf optical properties spectra. Remote Sensing of Environment 1990, 34(2):75-91.
32. Jacquemoud S., Verhoef W., Baret F., Bacour C., Zarco-Tejada P.J., Asner G.P., François C., Ustin S.L. PROSPECT+SAIL models: A review of use for vegetation characterization. Remote Sensing of Environment 2009, 113(Supplement 1):S56-S66.
33. Jamieson P.D., Semenov M.A. Modelling nitrogen uptake and redistribution in wheat. Field Crops Research 2000, 68(1):21-29.
34. Jonckheere I., Fleck S., Nackaerts K., Muys B., Coppin P., Weiss M., Baret F. Review of methods for in situ leaf area index determination: Part I. Theories, sensors and hemispherical photography. Agricultural and Forest Meteorology 2004, 121(1-2):19-35.
35. Koetz B., Baret F., Poilve H., Hill J. Use of coupled canopy structure dynamic and radiative transfer models to estimate biophysical canopy characteristics. Remote Sensing of Environment 2005, 95(1):115-124.
36. Krasnopolsky V.M., Chevallier F. Some neural network applications in environmental sciences. Part II: advancing computational efficiency of environmental numerical models. Neural Networks 2003, 16(3-4):335-348.
37. Lauvernet, C. (2005). Assimilation variationnelle d'observations de télédétection dans les modèles de fonctionnement de la végétation: utilisation du modèle adjoint et prise en compte de contraintes spatiales., Ph.D. thesis, Université Joseph Fourier - Grenoble.
38. Lauvernet C., Baret F., Hascoet L., Buis S., Le Dimet F.-X. Multitemporal-patch ensemble inversion of coupled surface-atmosphere radiative transfer models for land surface characterization. Remote Sensing of Environment 2008, 112(3):851-861.
39. Leshno M., Lin V.Y., Pinkus A., Schocken S. Multilayer feedforward networks with a nonpolynomial activation function can approximate any function. Neural Networks 1993, 6(6):861-867.
40. Leuning R., Dunin F.X., Wang Y.P. A two-leaf model for canopy conductance, photosynthesis and partitioning of available energy. II. Comparison with measurements. Agricultural and Forest Meteorology 1998, 91(1-2):113-125.
41. Lewis P. Three-dimensional plant modelling for remote sensing simulation studies using the Botanical Plant Modelling System. Agronomie 1999, 19:185-210.
42. Liang S. Quantitative remote sensing of land surfaces 2004, John Wiley & Sons, Inc., Hoboken, New Jersey, 534 pp.
43. Liu W.D., Baret F., Gu X.F., Zhang B., Tong Q.X., Zheng L.F. Evaluation of methods for soil surface moisture estimation from reflectance data. International Journal of Remote Sensing 2003, 24(10):2069-2083.
44. 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.
45. Puckridge D. Photosynthesis of wheat under field conditions. I. The interaction of photosynthetic organs. Australian Journal of Agricultural Research 1968, 19(5):711-719.
46. Puckridge D., Ratkowsky D. Photosynthesis of wheat under field conditions. IV. The influence of density and leaf area index on the response to radiation. Australian Journal of Agricultural Research 1971, 22(1):11-20.
47. 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(1):123-143.
48. Richardson A.J., Wiegand C.L., Wanjura D.F., Dusek D., Steiner J.L. Multisite analyses of spectral-biophysical data for Sorghum. Remote Sensing of Environment 1992, 41(1):71-82.
49. Sellers P.J. Canopy reflectance, photosynthesis and transpiration. International Journal of Remote Sensing 1985, 6(8):1335-1372.
50. Suits G.H. The calculation of the directional reflectance of a vegetative canopy. Remote Sensing of Environment 1972, 2:117-125.
51. Thomson B., Siddique K. Grain legume species in low rainfall Mediterranean-type environments II. Canopy development, radiation interception, and dry-matter production. Field Crops Research 1997, 54(2-3):189-199.
52. Tucker C.J. Asymptotic nature of grass canopy spectral reflectance. Applied Optics 1977, 16(5):1151-1156.
53. Verger A., Martinez B., Camacho-de Coca F., Garcã-a-Haro F.J. Accuracy assessment of fraction of vegetation cover and leaf area index estimates from pragmatic methods in a cropland area. International Journal of Remote Sensing 2009, 30(10):2685-2704.
54. Verhoef W. Light scattering by leaf layers with application to canopy reflectance modeling: The SAIL model. Remote Sensing of Environment 1984, 16(2):125-141.
55. Verstraete M., Pinty B. Designing optimal spectral indexes for remote sensing applications. Geoscience and Remote Sensing, IEEE Transactions on 1996, 34(5):1254-1265.
56. Wang Y., Li X., Nashed Z., Zhao F., Yang H., Guan Y., Zhang H. Regularized kernel-based BRDF model inversion method for ill-posed land surface parameter retrieval. Remote Sensing of Environment 2007, 111(1):36-50.
57. Weiss M., Baret F., Garrigues S., Lacaze R. LAI and fAPAR CYCLOPES global products derived from VEGETATION. Part 2: Validation and comparison with MODIS collection 4 products. Remote Sensing of Environment 2007, 110(3):317-331.
58. Weiss M., Baret F., Smith G.J., Jonckheere I., Coppin P. Review of methods for in situ leaf area index (LAI) determination: Part II. Estimation of LAI, errors and sampling. Agricultural and Forest Meteorology 2004, 121(1-2):37-53.
59. Weiss M., Troufleau D., Baret F., Chauki H., Prevot L., Olioso A., Bruguier N., Brisson N. Coupling canopy functioning and radiative transfer models for remote sensing data assimilation. Agricultural and Forest Meteorology 2001, 108(2):113-128.
60. Wiegand C., Gerbermann A., Gallo K., Blad B., Dusek D. Multisite analyses of spectral-biophysical data for corn. Remote Sensing of Environment 1990, 33(1):1-16.
61. Wiegand C., Maas S., Aase J., Hatfield J., Pinter P., Jackson R., Kanemasu E., Lapitan R. Multisite analyses of spectral-biophysical data for wheat. Remote Sensing of Environment 1992, 42(1):1-21.