Review of forestry oriented multi-angular remote sensing techniques

International Forestry Review

Volumn 14, Issue 3, 2012, Pages 285-298

  Fassnacht, F ^a   Koch, B ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

Author keywords

BRDF; forest information products; forest structure; multi angular remote sensing; view angles

Indexed keywords

BIOMASS; CANOPY; DATA SET; FORESTRY; NUMERICAL MODEL; OPTICAL METHOD; RADIATIVE TRANSFER;

EID: 84866846881     PISSN: 14655489     EISSN: None     Source Type: Journal    
DOI: 10.1505/146554812802646602     Document Type: Review

References (102)

1. ASNER, G.P., BRASWELL, B.H., SCHIMEL, D.S. and WESSMAN, C.A. 1998. Ecological research needs from multiangle remote sensing data. Remote Sensing of Environment 63: 155-165.
2. ATZBERGER, C. 2000. Development of an invertible forest reflectance model: The INFOR-Model. In: Buchroithner (ed.) A decade of trans-European remote sensing cooperation. Proceedings of the 20th EARSeL Symposium Dresden, Germany, 39-44.
3. BARNSLEY, M.J., ALLISON, D. and LEWIS, P. 1997. On the information content of multiple view angle (MVA) images. International Journal of Remote Sensing 18: 1937-1960.
4. BICHERON, P., LEROY, M., HAUTECOEUR, O. and BREON, F.M. 1997. Enhanced discrimination of boreal forest covers with directional reflectances from the airborne polarization and directionality of Earth reflectances (POLDER) instrument. Journal of Geophysical Research, 102(D24): 29517-29528
5. BREIDENBACH, J., NOTHDURFT, A. and KANDLER, G. 2010. Comparison of nearest neighbour approaches for small area estimation of tree species-specific forest inventory attributes in central Europe using airborne laser scanner data. European Journal of Forest Research 129(5): 833-846.
6. BRENT, R.P. 1973. Algorithms for minimization without derivatives. Englewood Cliffs, NJ: Prentice-Hall. New Jersey, 195 p. ISBN 0-13-022335-2.
7. CANISIUS, F. and CHEN, J.M. 2007. Retrieving forest background reflectance in a boreal region from multi-angle Imaging SpectroRadiometer (MISR) data. Remote Sensing of Environment 107: 312-321.
8. CHAN, J.C.-W., MA, J., KEMPENEERS, P., CANTERS, F., BORRE, J.V. and PAELINCKX, D. 2008. An evaluation of ecotope classification using superresolution images derived from CHRIS/PROBA data. Proceedings of 2008 IEEE International Geoscience and Remote Sensing Symposium, Boston.
9. CHEN, J.M., BLACK, T.A. 1991. Measuring leaf area index of plant canopies with branch architecture. Agricultural and Forest Meteorology 57: 1-12.
10. CHEN, J.M. and LEBLANC, S.G. 1997. A four-scale bidirectional reflectance model based on canopy architecture. IEEE Transactions on Geoscience and Remote Sensing 35: 1316-1337.
11. CHEN, J.M., RICH, P.M., GOWER, S.T., NORMAN, J.M. and PLUMMER, S. 1997. Leaf area index of boreal forests: Theory, techniques, and measurements. Journal of Geophysical Research 102: 29429-29443.
12. CHEN, J.M., LIU, J., LEBLANC, S.G., LACAZE, R. and ROUJEAN, J.-L. 2003. Multi-angular optical remote sensing for assessing vegetation structure and carbon absorption. Remote Sensing of Environment 84: 516-525.
13. CHEN, J.M., MENGES, C.H. and LEBLANC, S.G. 2005. Global mapping of foliage clumping index using multiangular satellite data. Remote Sensing of Environment 97: 447-457.
14. CHOPPING, M., SU, L., LALIBERTE, A., RANGO, A., PETERS, D.P.C. and KOLLIKKATHARA, N. 2006. Mapping shrub abundance in desert grasslands using geometric-optical modeling and multi-angle remote sensing with CHRIS/Proba. Remote Sensing of Environment 104: 62-73.
15. CHOPPING, M. 2008A. Terrestrial Applications of Multiangle Remote Sensing. In: S. Liang (ed.) Advances in Land Remote Sensing 95-144.
16. CHOPPING, M., MOISEN, G.G., SU, L., LALIBERTE, A., RANGO, A., MARTONCHIK, J.V., PETERS and DEBRA, P.C. 2008B. Large area mapping of southwestern forest crown cover, canopy height and biomass using the NASA Multiangle Imaging Spectro-Radiometer. Remote Sensing of Environment 112: 2051-2063.
17. CHOPPING, M., SU, L., RANGO, A., MARTONCHIK, J.V., PETERS, D.P.C. and LALIBERTE, A. 2008C. Remote sensing of woody shrub cover in desert grassland using MISR with a geometric-optical canopy reflectance model. Remote Sensing of Environment 112: 19-34.
18. CHOPPING, M., NOLIN, A.W, MOISEN, G.G., MARTONCHIK, J.V. and BULL, M. 2009. Forest canopy height from Multiangle Imaging Spectro-Radiometer (MISR) assessed with high resolution discrete return lidar. Remote Sensing of Environment 113: 2172-2185.
19. CHOPPING, M., SCHAAF, C.B., ZHAO, F., WANG, Z., NOLIN, A.W., MOISEN, G.G., MARTONCHIK, J.V. and BULL, M. 2011. Forest structure and aboveground biomass in the southwestern United States from MODIS and MISR. Remote Sensing of Environment 115: 2943-2953.
20. DALPONTE, M., COOPS, N.C., BRUZZONE, L. and GIANELLE, D. 1999. Analysis on the Use of Multiple Returns LiDAR Data for the Estimation of Tree Stems Volume. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2(4), December 2009
21. DE KAUWE, M.G., DISNEY, M.I., QUAIFE, T., LEWIS,P. and WILLIAMS, M. 2011. An assessment of the MODIS collection 5 leaf area index product for a region of mixed coniferous forest. Remote Sensing of Environment 115: 767-780.
22. DINER, D.J., BRASWELL, B.H., DAVIES, R., GOBRON, N., HU, J., JIN, Y., KAHN, R.A., KNYAZIKHIN, Y., LOEB, N., MULLER, J.-P., NOLIN, A.W., PINTY, B., SCHAAF, C.B., SEIZ, G. and STROEVE, J. 2005. The value of multiangle measurements for retrieving structurally and radiatively consistent properties of clouds, aerosols, and surfaces. Remote Sensing of Environment 97: 495-518.
23. DINER, D.J., ASNER, G.P., DAVIES, R., KNYAZIKHIN, Y., MULLER, J.-P., NOLIN, A.W., PINTY, B., SCHAAF, C.B. and STROEVE, J. 1999. New Directions in Earth Observing: Scientific Applications of Multiangle Remote Sensing. Bulletin of the American Meteorological Society 80(11): 2209-2228.
24. DYK, A., GOODENOUGH, D.G., LI, J.Y., NIEMANN, K.O., GUAN, A., CHEN, H. and DUONG, J. 2006. Multitemporal, multi-angle evaluation with CHRIS of coastal forests. In IGARSS 06, Proceedings of the IEEE International Conference on Geoscience and Remote Sensing Symposium, 2006. Denver, Colorado. USA.
25. ESCHENBACH, C. and KAPPEN, L. 1996. Leaf area index determination in an alder forest: A comparison of three methods. Journal of Experimental Botany 47: 1457-1462.
26. FALKOWSKI, M.J., HUDAK, A.T., CROOKSTON, N.L., GESSLER, P.E., UEBLER, E.H. and SMITH, M.S. 2010. Landscape-scale parameterization of a tree-level forest growth model: A k-nearest neighbor imputation approach incorporating LiDAR data. Can. J. For. Res. 40: 184-199.
27. FOURNIER, R.A., MAILLY, D., WALTER, J.-M.N. and SOUDANI, K. 2003. Indirect measurement of forest canopy structure from in situ optical sensors. In: WULDER, M. and FRANKLIN, S.E. (eds.) Remote Sensing of Forest Environments: Concepts and Case Studies (pp. 77-113). Norwell, Massachusetts, USA: Kluwer Academic Press.
28. FRANSSON, J.E.S., MAGNUSSON, M. and HOLMGREN, J. 2004. Estimation of Forest Stem Volume Using Optical SPOT-5 Satellite and Laser Data in Combination. IEEE
29. GALVAO, L.S., PONZONI, F.J., LIESENBERG, V. and DOS SANTOS, J.R. 2009. Possibilities of discriminating tropical secondary succession in Amazonia using hyperspectral and multiangular CHRIS/PROBA data. Int. J. Appl. Earth Obs. And Geoinf. 11: 8-14.
30. HALL, F.G., HILKER, T., COOPS, N.C., LYAPUSTIN, A., HUEMMRICH, K.F., MIDDLETON, E., MARGOLIS, H., DROLET, G. and BLACK, T.A. 2008. Multi-angle remote sensing of forest light use efficiency by observing PRI variation with canopy shadow fraction. Remote ensing of Environment 112: 3201-3211.
31. HALL, R.J., SKAKUN, R.S., ARSENAULT, E.J. and CASE, B.S. 2006. Modeling forest stand structure attributes using Landsat ETM+ data: Application to mapping of aboveground biomass and stand volume. Forest Ecology and Management 225: 378-390.
32. HE, L., CHEN, J.M., PISEK, J., SCHAAF, C.B. and STRAHLER, A.H. 2012. Global clumping index map derived from the MODIS BRDF product. Remote Sensing of Environment 119: 118-130.
33. HEISKANEN, J. 2006. Tree Cover and height estimation in the Fennoscandian tundra-taiga transition zone using multiangular MISR data. Remote Sensing of Environment 103: 97-114.
34. HILL, J. 2010. State-of-the-Art and Review of Algorithms with Relevance for Retrieving Biophysical and Structural Information on Forests and Natural Vegetation with Hypers pectral Remote Sensing Systems. 50 pages. In: Hyperspectral algorithms : report of the frame of EnMAP preparation activities. Potsdam: Deutsches Geo- ForschungsZentrum GFZ, 268 S. Scientific Technical Report STR 10/08. - DOI: 10.2312/GFZ.b103-10089.
35. HILKER, T., GITELSON, A., COOPS, N.C., HALL, F.G. and BLACK, T.A. 2011. Tracking plant physiology properties from multi-angular tower-based remote sensing. Oecologia 165: 865-876.
36. HILKER, T., COOPS, N.C., COGGINS, S.B., WULDER, M.A., BROWN, M., BLACK, T.A., NESIC, Z. and LESSARD, D. 2009. Detection of foliage conditions and disturbance from multi-angular high spectral resolution remote sensing. Remote Sensing of Environment 113: 421-434.
37. HILKER, T., COOPS, N.C., HALL, F.G., BLACK, T.A., WULDER, M.A. NESIC, Z. and KRISHNAN, P. 2008. Separating physiologically and directionally induced changes in PRI using BRDF models. Remote Sensing of Environment. doi:10.1016/j.rse.2008.01.011.
38. HILKER, T., COOPS, N.C., NESIC, Z., WULDER, M.A., BROWN, M. and BLACK, A.T. 2007. Instrumentation and approach for unattended year round tower based measurements of spectral reflectance. Computers and Electronics in Agriculture 56: 72-84.
39. HOLMSTROM, H. and FRANSSON, J. 2003. Combining remotely sensed optical and radar data in kNN-estimation of forest variables. Forest Science 49(3), 409-418.
40. HUBER, S., KOETZ, B., PSOMAS, A., KNEUBUEHLER, M., SCHOPFER, J.T., ITTEN, K.I. and ZIMMERMANN, N.E. 2010. Impact of multiangular information on empirical models to estimate canopy nitrogen concentration in mixed forest. Journal of Applied Remote Sensing 4: 043530.
41. HUDAK, A.T., CROOKSTON, N.L., EVANS, J.S., FALKOWSKI, M.J., SMITH, A.M.S., GESSLER, P.E. and MORGAN, P. 2006. Regression modeling and mapping of coniferous forest basal area and tree density
42. HYMAN, A.H. and BARNSLEY, M.J. 1997. On the potential for land cover mapping from multiple-view-angle (MVA) remotely-sensed images. International Journal of Remote Sensing 18: 2471-2475.
43. JAQUEMOUD, S., VERHOEF, W., BARET, F., BACOUR, C., ZARCO-TEJADA, P., ASNER, G.P., FRANCOIS, C. and USTIN, S.L. 2009. PROSPECT + SAIL models: A review of use for vegetation characterization. Remote Sensing of Environment 113(Supplement 1): S56-S66.
44. JENSEN, J.L.R., HUMES, K.S., VIERLING, L.A and HUDAK, A.T. 2008. Discrete return lidar-based prediction of leaf area index in two conifer forests. Remote Sensing of Environment 112: 3947-3957.
45. JENSEN, J.L.R., HUMES, K.S., HUDAK, A.T., VIERLING, L.A. and DELMELLE, E. 2011. Evaluation of the MODIS LAI product using independent lidar-derived LAI: A case study in mixed conifer forest. Remote Sensing of Environment 115: 3625-3639.
46. KAYITAKIRE, F. and DEFOURNY, P. 2004. Forest Type Discrimination using multi-angle hyperspectral data. Proc. of the 2nd CHRIS/Proba Workshop. ESA/ESRIn, Frascati, Italy.
47. KNEUBUHLER, M., KOETZ, B., HUBER, S., ZIMMERMANN, N.E. and SCHAEPMAN, M. 2008. Spectrodirectional CHRIS/PROBA data over two Swiss test sites for improved estimation of biophysical and - chemical variables - five years of activities. The international archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing, 2008.
48. KNEUBUHLER, M., KOETZ, B., HUBER, S., ZIMMERMANN, N.E. and SCHAEPMAN, M. 2008. Space-based spectrodirectional measurements for the improved estimation of ecosystem variables. Can. J. Remote Sensing 34: 192-205.
49. LACAZE, R., CHEN, J.M., ROUJEAN, J.-L. and LEBLANC, S.G. 2002. Retrieval of vegetation clumping index using hotspot signatures measured by POLDER instrument. Remote Sensing of Environment 79: 84-95.
50. LATIFI, H., NOTHDURFT, A. and KOCH, B. 2010. Nonparametric prediction and mapping of standing timber volume and biomass in a temperate forest: Application of multiple optical/LiDAR-derived predictors. Forestry 83(4): 395-407
51. LATIFI, H., FASSNACHT, F. and KOCH, B. 2012. Forest structure modeling with combined airborne hyperspectral and LiDAR data. Remote Sensing of Environment 121: 10-25.
52. LAVERGNE, T., KAMINSKI, T., PINTY, B., TABERNER, M., GOBRON, N., VERSTRAET, M.M., VOSSBECK, M., WIDLOWSKI, J.L. and GIERING, R. 2007. Application to MISR land products of an RPV model inversion package using adjoint and Hessian codes. Remote Sensing of Environment 107: 362-375.
53. LEBLANC, S.G., CHEN, J.M., WHITE, H.P., LATIFOVIC, R., FERNANDES, R., ROUJEAN, J.-L. and LACAZE, R. 2002. Mapping leaf area index heterogeneity over Canada using directional reflectance and anisotropy canopy reflectance models. Geoscience and Remote Sensing Symposium, 2002. IGARSS 02. 2002 IEEE International, pp. 3059-3061.
54. LE MAIRE, G., FRANCOIS C., SOUDANI, K., BERVEILLER, D., PONTAILLER, J.-Y., BREDA, N., GENETE, H., DAVI, H. and DUFRENE, E. 2008. 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 112: 3846-3864.
55. LIANG, S., STRAHLER, A.H., BARNSLEY, M.J., BOREL, C.C., GERSTL, S.A.W., DINER, D.J., PRATA, A.J. and WALTHALL, C.L. 2000. Multiangle Remote Sensing: Past present and future. Remote Sensing Reviews 18: 83-102.
56. LIANG, S. 2004. Quantitative Remote Sensing of Land Surfaces. 1st edition, Wiley and Sons, Inc., 560p.
57. LOBELL, D.B., ASNER, G.P., LAW, B.E. and TREUHAFT, R.N. 2002. View angle effects on canopy reflectance and spectral mixture analysis of coniferous forests using AVIRIS. Inernational Journal of Remote Sensing 23(11): 2247-2262.
58. LUCHT, W., ROUJEAN, J.L. 2000. Considerations in the parametric modeling of BRDF and albedo from multiangular satellite sensor observations. Remote Sensing Reviews 18: 343-379.
59. LUCHT, W., SCHAAF, C.B. and STRAHLER, A.H. 2000. An algorithm for the retrieval of albedo from space using semiempirical BRDF models. IEEE Transactions on Geoscience and Remote Sensing 38: 977-998.
60. MAIER, B., TIEDE, D. and DORREN, L. 2006. Assessing mountain forest structure using airborne laser scanning and landscape metric. In: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. No. XXXVI-4/C42, Salzburg, Austria.
61. MILLER, A.J. 2002. Subset selection in regression. Monographs on statistic and applied probability, 95. Boca Raton: Chapman and Hall/CRC, xvii, 238 p.
62. MINNAERT, M. 1941. The reciprocity principle in lunar photometry. Astrophys. Journal 92: 403-410.
63. MYNENI, R.B., HOFFMAN, S., KNYAZIKHIN, Y., PRIVETTE, J.L., GLASSY, J., TIAN, Y., WANG, Y., SONG, X., ZHANG, Y., SMITH, G.R., LOTSCH, A., FRIEDL, M., MORISETTE, J.T., VOTAVA, P., NEMANI, R.B. and RUNNING, S.W. 2002. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sensing of Environment 83: 214-231.
64. NICODEMUS, F.E., RICHMOND, J.C., HSIA, J.J., GINSBERG, I.W. and LIMPERIS, T. 1977. Geometrical Considerations and Nomenclature for Reflectance. NBS Monogr., No. 160, National Bureau of Standards, U.S. Department of Commerce, 52 p.
65. NILSON, T. 1971. A theoretical analysis of the frequency of gaps in plant stands. Agricultural Meteorology 8: 25-38.
66. NOLIN, W.A., FETTERER, M.F. and SCAMBOS, A.T. 2002. Surface roughness characterizations of sea ice and ice sheets: Case studies with MISR data. IEEE transactions on Geoscience and Remote Sensing 40: 1605-1615.
67. NOLIN, W.A. 2004. Towards retrieval of forest cover density over snow from the Multi-angle Imaging SpectroRadiometer (MISR). Hydrological Processes 18: 3623-3636.
68. NOTHDURFT, A., SABOROWSKI, J. and BREIDENBACH, J., 2009. Spatial prediction of forest stand variables. Eur J Forest Res 128: 241-251.
69. OLLINGER, S.V., SMITH, M.-L., MARTIN, M.E., HALLETT, R.A., GOODALE, C.L. and ABER, J.D. 2002. Regional variation in foliar chemistry and N cycling among forests of diverse history and composition. Ecology 83: 339-355.
70. PETERSON, D.L., JOHNSON, M.C., AGEE, J.K., JAIN, T.B., McKENZIE, D. and REINHARDT, E.D. 2005. Forest structure and fire hazard in dry forests of the Western United States. USDA General Technical Report, PNWGTR- 628. 38p.
71. PINTY, B., WIDLOWSKI, J.-L., GOBRON, N., VERSTRAETE, M.M. and DINER, D.J. 2002. Uniqueness of Multiangular Measurements - Part I: An Indicator of Subpixel Surface Heterogeneity from MISR. IEEE Transactions on Geoscience and Remote Sensing 40: 1560-1573.
72. PISEK, J. and CHEN, J.M. 2007. Comparison and validation of MODIS and VEGETATION global LAI products over four BigFoot sites in north America. Remote Sensing of Environment 109: 81-94.
73. PISEK, J. and Chen, J.M. 2009. Mapping forest background reflectivity over North America with Multi-angle Imaging Spectroradiometer (MISR) data. Remote Sensing of Environment 113: 2412-2423.
74. PISEK, J., CHEN, J.M., LACAZE, R., SONNENTAG, O. and ALIKAS, K. 2010. Expanding global mapping of the foliage clumping index with multi-angular POLDER three measurements: Evaluation and topographic compensation. ISPRS Journal of Photogrammetry and Remote Sensing 65: 341-346.
75. POCEWICZ, A., VIERLING, L. A., LENTILE, L. B. and SMITH, R. 2007. View angle effects on relationships between MISR vegetation indices and leaf area index in a RECENTLY burned ponderosa pine forest. Remote Sensing of Environment 107: 322-333.
76. POWELL, M.J.D. 1964. An efficient method for finding the minimum of a function of several variables without calculating derivatives. The Computer Journal 7: 155-162. doi: 10.1093/comjnl/7.2.155.
77. RAHMAN, H., PINTY, B. and VERSTRAETE, M.M. 1993. Coupled surface-atmosphere reflectance (CSAR) model. 2. Semiempirical surface model usable with NOAA advanced very high resolution radiometer data. Journal of Geophysical Research 98: 20791-20801.
78. RAUTIAINEN, M., LANG, M., MOTTUS, M., KUUSK, A., NILSON, T., KUUSK, J. and LUKK, T. 2008. Multiangular reflectance properties of a hemiboreal forest: An analysis using CHRIS PROBA data. Remote Sensing of Environment 112: 2627-2642.
79. SCHAEPMAN, M.E., KOTZ, B., SCHAEPMAN-STRUB, G. and ITTEN, K.I. 2005. Spectrodirectional remote sensing for the improved estimation of biophysical and - chemical variables: Two case studies. International Journal of Applied Earth Observation and Geoinformation 6: 271-282.
80. SCHLERF, M. and ATZBERGER, C. 2006. Inversion of a forest reflectance model to estimate structural canopy variables from hyperspectral remote sensing data. Remote Sensing of Environment 100: 281-294.
81. SEDANO, F., LAVERGNE, T. IBANEZ, L.M. and GONG, P. 2008A. A neural network-based scheme coupled with the RPV model inversion package. Remote Sensing of Environment 112: 3271-3283.
82. SEDANO, F., GOMEZ, D., GONG, P. and BIGING, G.S. 2008B. Tree density estimation in a tropical woodland ecosystem with multiangular MISR and MODIS data. Remote Sensing of Environment 112: 2523-2537.
83. SIMIC, A. and CHEN, J.M. 2008. Refining a hyperspectral and multiangle measurement concept for vegetation structure assessment. Canadian Journal of Remote Sensing 34: 174-191.
84. SIMIC, A. and CHEN, J.M. 2009. Progress in retrieving canopy structural parameters and chlorophyll content using the refined hyperspectral and multi-angle measurement concept and CASI data. First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009, Grenoble. WHISPERS 09.
85. SIMIC, A., CHEN, J.M., FREEMANTLE, J., MILLER, J.R. and PISEK, J., 2010. Improving clumping and LAI algorithms based on multi-angle airborne imagery and ground measurements. IEEE Transactions on Geosciences and Remote Sensing 48(4): 1742-1759.
86. SMITH, K.M., KEETON, W.S., DONOVAN, T.M. and MITCHELL, B. 2008. Stand-level forest structure and avian habitat: Scale dependencies in preduicting occurrence in a heterogeneous forest. Forest Science 54: 36-46.
87. SU, L.H., CHOPPING, M.J., RANGO, A., MARTONCHIK, J.V. and PETERS, D.P.C. 2007A. Support vector machines for recognition of semi-arid vegetation types using MISR multi-angle imagery. Remote Sensing of Environment 107: 299-311.
88. SU, L.H., CHOPPING, M.J., RANGO, A., MARTONCHIK, J.V. and PETERS, D.P.C. 2007B. Differentiation of semiarid vegetation types based on multi-angular observations from MISR and MODIS. International Journal of Remote Sensing 28: 1419-1424.
89. TREUHAFT, R.N., ASNER, G.P. and LAW, B.E. 2003. Structure- based forest biomass from fusion of radar and hyperspectral observations. Geophysical Research Letters 30: 1472.
90. TURNER, D.P., COHEN, W.B., KENNEDY, R.E., FASSNACHT, K.S. and BRIGGS, J.M. 1999. Relationships between Leaf Area Index and Landsat TM Spectral Vegetation Indices across Three Temperate Zone Sites. Remote Sensing of Environment 70: 52-68.
91. VAUHKONEN, J., KORPELA, I., MALTAMO, M. and TOKOLA, T. 2010. Imputation of single-tree attributes using airborne laser scanning-based height, intensity, and alpha shape metrics. Remote Sensing of Environment
92. VERRELST, J., SCHAEPMAN, M.E. and CLEVERS, J.G.P.W. 2010A. Spectrodirectional Minnaert-k retrieval using CHRIS-PROBA data. Canadian Journal of Remote Sensing 36: 631-644.
93. VERRELST, J., CLEVERS, J.G.P.W. and SCHAEPMAN, M.E. 2010B. Merging the Minnaert-k parameter with spectral unmixing to map forest heterogeneity with CHRIS/PROBA data. IEEE Transactions on Geoscience and Remote Sensing 48: 4014-4022.
94. VERSTRAETE, M.M. and PINTY, B. 2001. The IWMMM-2 Conference: Background, Achievements and Recommendations. Remote Sensing Reviews 19: 1-7.
95. VIEIRA, S., DE CAMARGO, P.B., SELHORST, D., DA SILVA, R., HUTYRA, L., CHAMBERS, J.Q., BROWN, I.F., HIGUCHI, N., DOS SANTOS, J., WOFSY S.C., TRUMBORE, S.E. and MARTINELLI, L.A. 2004. Forest structure and carbon dynamics in Amazonian tropical rain forests. Oecologia 140: 468-479.
96. WANG, D. and LIANG, S. 2010. Using multiresolution tree to integrate MODIS and MISR-L3 LAI products. Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1027-1030.
97. WANNER, W., LI, X. and STRAHLER, A.H. 1995. On the derivation of kernels for kernel-driven models of bidirectional reflectance. Journal of Geophysical Research 100: 21077-21089.
98. WATT, P.J., DONOGHUE, D.N.M, MCMANUS, K.B. and DUNFORD, R.W., 2000. Predicting Forest Height From IKONOS, Landsat and Lidar Imagery. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVI, 8/W2.
99. WIDLOWSKI, J.L., PINTY, B., GOBRON, N., VERSTRAETE, M.M. and DAVIS, A.B. 2001. Characterization of surface heterogeneity detected at the MISR/ TERRA subpixel scale. Geophysical Research Letters 28: 4639-4642.
100. WU, X., XIAO, Z. and WANG, J. 2010. Estimating leaf area index by coupling radiative transfer model and a dynamic model from multi-source remote sensing data. Proceedings of IGARSS Geoscience and Remote Sensing Symposium 2009 3: 658-661.
101. YANG, G., ZHANG, M., HUANG, W. and WANG, J. 2010. Inversion of a radiative transfer model for estimating forest LAI from multisource and multi-angular optical remote sensing data based on ANN. Proceedings of Second IITA International Conference of Geoscience and Remote Sensing.
102. ZENG, Y., SCHAEPMAN, M.E., WU, B., DE BRUIN, S. and CLEVERS, J.G.P.W. 2008. Change detection of forest crown closure using an inverted geometric-optical model and scaling. The international Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing, 2008.