Atmospheric optical depth and water vapour effects on the angular characteristics of surface reflectance in NOAA AVHRR

International Journal of Remote Sensing

Volumn 17, Issue 15, 1996, Pages 2981-2999

  Rahman, H ^a  

^a Bangladesh Space Research and Remote Sensing Organization SPARRSO   (Bangladesh)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC COMPOSITION; ATMOSPHERIC OPTICS; LIGHT SCATTERING; MATHEMATICAL MODELS; OPTICAL VARIABLES MEASUREMENT; REFLECTOMETERS; SOILS;

ADVANCED VERY HIGH RESOLUTION RADIOMETER (AVHRR); ATMOSPHERIC OPTICAL DEPTH; BIDIRECTIONAL SURFACE REFLECTANCE;

REMOTE SENSING;

ATMOSPHERIC OPTICAL DEPTH; AVHRR; BARE SOIL; BIDIRECTIONAL PROPERTIES; INFRARED CHANNEL; NOAA; REFLECTANCE MODEL; SURFACE REFLECTANCE; VEGETATION COVER; VISIBLE CHANNEL; WATER VAPOUR;

EID: 0030265442     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431169608949123     Document Type: Article

References (13)

1. Belward, A. S., 1992, Spatial attributes of AVHRR imagery for environmental monitoring. International Journal of Remote Sensing, 13, 193-208.
2. Deering, D. W., and Eck, T. F., 1987, Atmospheric optical depth effects on angular anisotropy of plant canopy reflectance. International Journal of Remote Sensing, 8, 893-916.
3. Diner, D. J., Bruegge, C. J., Martonchik, J. V., Ackerman, T. P., Davies, R., Gerstl, S. A. W., Gordon, H. R., Sellers, P. J., Clark, J., Daniels, J. A., Danielson, E. D., Duval, V. G., Klaasen, K. P., Lilienthal, G., Nakamoto, D. I., Pagano, R. J., and Reilly, T. H., 1989, MISR: a multiangle imaging spectroradiometer for geophysical and climatological research from EOS. I.E.E.E. Transactions on Geoscience and Remote Sensing, 27, 200-214.
4. Gauthier, R. P., Ahern, F. J., Teillet, P. M., and Fedosejevs, G., 1991, Workshop report: Report on the specialist meeting on the derivation of bidirectional reflectance distribution Functions For Various Ground Types. Workshop Held 27-29 November 1990 in Tempe, Arizona, initiated by the Canada Centre for Remote Sensing, hosted by the USDA Agriculture Research Service.
5. Kimes, D. W., Newcomb, C., Tucker, I., Zonneveld, W., Vanwijngaarden, J., De Leeuw, and Epema, G., 1985, Directional reflectance factor for cover types of northern Africa. Remote Sensing of Environment, 18, 1-19.
6. Pinty, B., and Verstraete, M. M., 1991a, Bidirectional reflectance and surface albedo: Physical modeling and inversion. Proceedings of the 5th International Conoquium on Spectral Signatures of Objects in Remote Sensing, Courchevel. France, 14-18 January 1991, ESA SP-319 (Noordwijk, The Netherlands: ESA Publications Division, European Space Research and Technology Center), pp. 383-386.
7. Pinty, B., and Verstraete, M. M., 1991b, Extracting information on surface properties from bidirectional reflectance measurements. Journal of Geophysical Research, 96, 2865-2874.
8. Pinty, B., Verstraete, M. M., and Dickinson, R. E., 1990, A physical model of the bidirectional reflectance of vegetation canopies 2. Inversion and validation. Journal of Geophysical Research, 95, 11767-11775.
9. Pinty, B., Leprieur, C., and Verstraete, M. M., 1993, Towards a quantitative interpretation of vegetation indices Part 1: Biophysical properties and classical indices. Remote Sensing Reviews (submitted).
10. Rahman, H., and Dedieu, G., 1994, SMAC: A simplified method for the atmospheric correction of satellite measurement in the solar spectrum. International Journal of Remote Sensing, 15, 123-143.
11. Rahman, H., Pinty, B., and Verstraete, M. M., 1993, Coupled surface atmosphere reflectance (CSAR) Modell: Model description and inversion on synthetic data. Journal of Geophysical Research, 98, 20779-20789.
12. Tanre, D., Herman, M., and Deschamps, P. Y., 1983, Influence of the atmosphere on space measurements of directional properties. Applied Optics, 22, 733-741.
13. Vermote, E., Santer, R., Deschamps, P. Y., and Herman, M., 1992, In-flight calibration of large field of view sensors at short wavelengths using Rayleigh scattering. International Journal Of Remote Sensing, 13, 3409-3429.