Methods of Sensitivity Analysis in Remote Sensing: Implications for Canopy Reflectance Model Inversion

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 6, Issue , 2003, Pages 3839-3841

  Bowyer, P ^a   Danson, F M ^a   Trodd, N M ^a  

^a UNIVERSITY OF SALFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BIOCHEMISTRY; COMPUTER SIMULATION; DATABASE SYSTEMS; FOURIER TRANSFORMS; PLANTS (BOTANY); SENSITIVITY ANALYSIS;

CANOPY REFLECTANCE; REFLECTANCE VARIABILITY;

REMOTE SENSING;

EID: 0242625357     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. N.S. Goel, "Models of vegetation canopy reflectance and their use in estimation of biophysical parameters from reflectance data," Remote Sensing Reviews, vol 4, pp. 1-212, 1988.
2. D. Kimes, J.P. Gastellu-Etchegorry, P. Esteve, "Recovery of forest canopy characteristics through inversion of a complex 3D model," Remote Sensing of Environment, vol 79, pp. 320-328, 2002.
3. A. Saltelli, "Sensitivity analysis: could better methods be used?," Journal of Geophysical Research, vol 104, pp. 3789-3793, 1999.
4. J.L. Privette, R.B. Myneni, C.J. Tucker, and W.J. Emery, "Invertibility of a 1-D discrete ordinates canopy reflectance model," Remote Sensing of Environment, vol 48, pp. 89-105, 1994.
5. G.P. Asner, C.A. Wessman, C.A. Bateson, and J.L. Privette, "Impact of tissue, canopy, and landscape factors on the hyperspectral reflectance variability of arid ecosystems," Remote Sensing of Environment, vol 74, pp. 69-84, 2000.
6. J.L. Privette, R.B. Myneni, W.J. Emery, and F.G. Hall, "Optimal sampling conditions for estimating grassland parameters via reflectance model inversions," IEEE Transactions on Geoscience and Remote Sensing, vol 34, pp. 272-283, 1996.
7. P. Bicheron and M. Leroy, "A method of biophysical parameter retrieval at global scale by inversion of a vegetation reflectance model," Remote Sensing of Environment, vol 67, pp. 251-266, 1999.
8. P. Ceccato, S. Flasse, S. Tarantola, S. Jacquemoud, and J.M. Grégoire, "Detecting vegetation leaf water content using reflectance in the optical domain," Remote Sensing of Environment, vol. 77, pp. 22-33, 2001.
9. P. Ceccato, N. Gobron, S. Flasse, B. Pinty and S. Tarantola, "Designing a spectral index to estimate vegetation water content from remote sensing data. Part 1: theoretical approach," Remote Sensing of Environment, vol. 82, pp. 188-197, 2002.
10. C. Bacour, S. Jacquemoud, Y. Tourbier, M. Dechambre, and J.P. Frangi, "Design and analysis of numerical experiments to compare four canopy reflectance models," Remote Sensing of Environment, vol 79, pp. 72-83, 2002.
11. A. Saltelli, S. Tarantola and K.P.S. Chan, 1999, "A quantitative model-independent method for global sensitivity analysis of model output," Technometrics, vol. 41, pp. 39-56, 1999.
12. S. Jacquemoud, C. Bacour, H. Poilve, and J.-P. Frangi, "Comparison of four radiative transfer models to simulate plant canopies reflectance: direct and inverse mode," Remote Sensing of Environment, vol 74, pp. 471-481, 2000.
13. K.F. Huemmrich, "The geosail model: a simple addition to the sail model to describe discontinuous canopy reflectance," Remote Sensing of Environment, vol. 75, pp. 423-431, 2001.
14. W. Verhoef, "Light scattering by leaf layers with application to canopy reflectance modelling: the SAIL model," Remote Sensing of Environment, vol. 16, pp. 125-141, 1984.
15. M.F Jasinski, and P.S. Eagleson, "Estimation of subpixel vegetation cover using red-infrared scattergrams," IEEE Transactions on Geoscience and Remote Sensing, vol 28, pp. 253-267, 1990.