Evaluation of diurnal hyperspectral HDRF data acquired with the RSL field goniometer during the DAISEX'99 campaign (original) (raw)

Abstract

A directional data set of bare soil and Alfalfa acquired using the FIeld GOniometer System (FIGOS) during the DAIS Experiment 1999 (DAISEX 99) campaign is preprocessed and analyzed for its quality. Two different normalization methods to derive anisotropy factors, i.e., dividing by nadir reflectance and by spectral albedo, are tested and discussed. The effect of varying reflectances on the prediction of vegetation variables due to changing Sun and viewing geometries is demonstrated by the derivation of the weighted difference vegetation index (WDVI) for Alfalfa multiangular data and proves to be significant.

Loading...

Loading Preview

Sorry, preview is currently unavailable. You can download the paper by clicking the button above.

References (23)

  1. References
  2. Abdou, W.A., Helmlinger, M.C., Conel, J.E., Bruegge, C.J., Pilorz, S.H., Martonchik, J.V., Gaitley, B.J., 2001. Ground measurements of surface BRF and HDRF using PARABOLA III. Journal of Geophysical Research, Vol. 106, No. 11, pp. 11967-11976.
  3. Abdou, W.A., Conel, J.E., Pilorz, S.H., Helmlinger, M.C., Bruegge, C.J., Gaitley, B.J., Ledeboer, W. C., Martonchik, J.V., 2001. Vicarious calibration. A reflectance-based experiment with AirMISR. Remote Sensing of Environment, Vol. 77, pp. 338-353.
  4. Beisl, U., 2001. Correction of bidirectional effects in imaging spectrometer data. Remote Sensing Series, Vol. 37, 189 p.
  5. Berk, A., Anderson, G.P., Bernstein, L.S., Acharya, P.K., Dothe, H., Matthew, M.W., Adler-Golden, S.M., Chetwynd, J.H., Richtsmeier, S.C., Pukall, B., 1999. MODTRAN 4 Radiative transfer modeling for atmospheric correction. Proc. 8th JPL Airborne Earth Science Workshop, Pasadena, pp. 55-61.
  6. Berger, M., Moreno, J., M ller, A., Schaepman, M., Wursteisen, P., Rast, M., Attema, E., 2000. The digital imaging spectrometer experiment -DAISEX 99. Proc. IGARSS, Hawaii, pp. 3039-3041.
  7. Breon, F.M., Maignan, F., Leroy, M., Grant, I., 2001. A statistical analysis of hot spot directional signatures measured from space. Proc. 8th International Symposium Physical Measurements and Signatures in Remote Sensing, Aussois, France, pp. 343-353.
  8. Cierniewski, J., Verbrugghe, M., Marlewski, A., 2002. Effects of farming works on soil surface bidirectional reflectance measurements and modelling. International Journal of Remote Sensing, Vol. 23, No. 6, pp. 1075- 1094.
  9. Clevers, J., 1989. The application of a weighted infrared-red vegetation index for estimating leaf area index by correcting for soil moisture. Remote Sensing of Environment, Vol. 29, pp. 25-37.
  10. Epiphanio, J.C., Huete, A.R., 1995. Dependence of NDVI and SAVI on Sun/sensor geometry and its effect on FAPAR relationships in Alfalfa. Remote Sensing of Environment, Vol. 51, pp. 351-360.
  11. ESA, 1999. DAISEX-99 experimenters handbook. Draft 3, 27 May 1999, ESA Scientific Campaign Unit, ESTEC.
  12. Jackson, R.D., Teillet, P.M., Slater, P.N., Fedosejevs, G., Jasinski, M.F., Aase, J.K., Moran, M.S., 1990. Bidirectional measurements of surface reflectance for view angle corrections of oblique imagery. Remote Sensing of Environment, Vol. 32, pp. 189-202.
  13. Labsphere, 1997. Diffuse reflectance coating and materials. Catalogue 1, North Sutton, N.H. Li, X., Gao, F., Wang, J., Strahler, A., 2001. A priori knowledge accumulation and its application to linear BRDF model inversion. Journal of Geophysical Research, Vol. 106, No. 11, pp. 11925-11935.
  14. Martonchik, J.V., Bruegge, C.J., Strahler, A.H., 2000. A review of reflectance nomenclature used in remote sensing. Remote Sensing Reviews, Vol. 19, pp. 9-20.
  15. Sandmeier, S., M ller, C., Hosgood, B., Andreoli, G., 1998a. Sensitivity analysis and quality assessment of laboratory BRDF data. Remote Sensing of Environment, Vol. 64, No. 2, pp. 176-191.
  16. Sandmeier, St., Mueller, Ch., Hosgood, B., Andreoli, G., 1998b. Physical mechanisms in hyperspectral BRDF data of grass and watercress. Remote Sensing of Environment, Vol. 66, pp. 222-233.
  17. Sandmeier, S.R., Itten, K. I., 1999. A field goniometer system (FIGOS) for acquisition of hyperspectral BRDF data. IEEE Transactions on Geoscience and Remote Sensing, Vol. 37, No. 2, pp. 978-986.
  18. Sandmeier, S., Deering, D., 1999. Structure analysis and classification of boreal forests using airborne hyperspectral BRDF data from ASAS. Remote Sensing of Environment, Vol. 69, No. 3, pp. 281-295.
  19. Schaepman, M. E., 1998. Calibration of a field spectrometer. Remote Sensing Series, Vol. 31, Dept. of Geography, University of Zurich, 146 p.
  20. Schlaepfer, D., 1998. Differential absorption methodology for imaging spectroscopy of atmospheric water vapor. Remote Sensing Series, Vol. 32, Dept. of Geography, University of Zurich, 131 p. Strahler, A.H., Muller, J.-P. et al, 1999. MODIS BRDF/Albedo product: algorithm theoretical basis document version 5.0. MODIS product ID: MOD43. NASA EOS MODIS.
  21. Strub, G., Schaepman, M.E., Knyazikhin, Y., Itten, K.I., submitted. Evaluation of spectro-directional Alfalfa data acquired during DAISEX 99.
  22. Walter-Shea, E.A., Privette, J., Cornell, D., Mesarch, M.A., Hays, C.J., 1997. Relations between directional spectral vegetation indices and leaf area and absorbed radiation in Alfalfa. Remote Sensing of Environment, Vol. 61, No. 1, pp. 162-177.
  23. Walthall, C., Roujean, J.L., Morisette, J., 2000. Field and landscape BRDF optical wavelength measurements: experience, techniques and the future. Remote Sensing Reviews, Vol. 18, No. 24, pp. 503-531.