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

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 57, Issue 3, 2002, Pages 184-193

  Strub, Gabriela ^a   Beisl, Ulrich ^b   Schaepman, Michael ^a   Schlaepfer, Daniel ^a   Dickerhof, Corinna ^a   Itten, Klaus ^a  

^a UNIVERSITY OF ZURICH   (Switzerland)

^b GERMAN AEROSPACE CENTER DLR   (Germany)

Author keywords

BRDF; HDRF; Hyperspectral; Soil; Vegetation

Indexed keywords

ANISOTROPY; GONIOMETERS; SOILS; VEGETATION;

NORMALIZATION METHODS;

REMOTE SENSING;

ALBEDO; BARE SOIL; DIURNAL VARIATION; REMOTE SENSING; SPECTRAL REFLECTANCE; VEGETATION INDEX;

EID: 2242438081     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0924-2716(02)00122-3     Document Type: Article

References (22)

1. Abdou, W.A., Helmlinger, M.C., Conel, J.E., Bruegge, C.J., Pilorz, S.H., Martonchik, J.V., Gaitley, B.J., 2001a. Ground measurements of surface BRF and HDRF using PARABOLA III. Journal of Geophysical Research 106 (11), 11967-11976.
2. Abdou, W.A., Conel, J.E., Pilorz, S.H., Helmlinger, M.C., Bruegge, C.J., Gaitley, B.J., Ledeboer, W.C., Martonchik, J.V., 2001b. Vicarious calibration. A reflectance-based experiment with Air-MISR. Remote Sensing of Environment 77, 338-353.
3. Beisl, U., 2001. Correction of bidirectional effects in imaging spectrometer data. Remote Sensing Series, vol. 37. Department of Geography, University of Zurich. 189 pp.
4. 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, USA. NASA, Jet Propulsion Laboratory (JPL), Pasadena, pp. 55-61.
5. Berger, M., Moreno, J., Müller, A., Schaepman, M., Wursteisen, P., Rast, M, Attema, E., 2000. The digital imaging spectrometer experiment - DAISEX'99. Proc. IGARSS, Hawaii, USA. IEEE Geoscience and Remote Sensing Society, pp. 3039-3041.
6. 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. CNES, Toulouse, pp. 343-353.
7. Cierniewski, J., Verbrugghe, M., Marlewski, A., 2002. Effects of farming works on soil surface bidirectional reflectance measurements and modelling. International Journal of Remote Sensing 23 (6), 1075-1094.
8. 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 29, 25-37.
9. 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 51, 351-360.
10. ESA, 1999. DAISEX-99 Experimenters Handbook. Draft 3, 27 May 1999, ESA Scientific Campaign Unit, ESTEC.
11. 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 32, 189-202.
12. Labsphere, 1997. Diffuse Reflectance Coating and Materials. Catalogue 1. Labsphere, Shaker St., North Sutton, NH 03260, USA.
13. 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 106 (11), 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 19, 9-20.
15. Sandmeier, S., Deering, D., 1999. Structure analysis and classification of boreal forests using airborne hyperspectral BRDF data from ASAS. Remote Sensing of Environment 69 (3), 281-295.
16. 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 37 (2), 978-986.
17. Sandmeier, S., Müller, C., Hosgood, B., Andreoli, G., 1998a. Sensitivity analysis and quality assessment of laboratory BRDF data. Remote Sensing of Environment 64 (2), 176-191.
18. Sandmeier, St., Mueller, Ch., Hosgood, B., Andreoli, G., 1998b. Physical mechanisms in hyperspectral BRDF data of grass and watercress. Remote Sensing of Environment 66, 222-233.
19. Schaepman, M.E., 1998. Calibration of a field spectrometer, Remote Sensing Series, vol. 31. Department of Geography, University of Zurich. 146 pp.
20. 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. 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 61 (1), 162-177.
22. Walthall, C., Roujean, J.L., Morisette, J., 2000. Field and landscape BRDF optical wavelength measurements: Experience, techniques and the future. Remote Sensing Reviews 18 (24), 503-531.