Parametrized BRDF for atmospheric and topographic correction and albedo estimation in Jiangxi rugged terrain, China

International Journal of Remote Sensing

Volumn 30, Issue 11, 2009, Pages 2875-2896

  Wen, Jianguang ^a   Liu, Qinhuo ^a   Liu, Qiang ^a   Xiao, Qing ^a,b   Li, Xiaowen ^a  

^a BEIJING NORMAL UNIVERSITY   (China)

^b BEIJING RESEARCH INSTITUTE OF URANIUM GEOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DISTRIBUTION FUNCTIONS; LANDFORMS; PIXELS; RADIATIVE TRANSFER; SOLAR RADIATION; SURVEYING; TABLE LOOKUP;

ATMOSPHERIC CORRECTIONS; ATMOSPHERIC TRANSMITTANCE; BIDIRECTIONAL REFLECTANCE DISTRIBUTION FUNCTIONS; DIGITAL ELEVATION MODEL; LANDSAT THEMATIC MAPPER; RADIATIVE TRANSFER MODEL; REASONABLE ACCURACY; TOPOGRAPHIC CORRECTION;

REFLECTION;

ALBEDO; ATMOSPHERIC CORRECTION; BIDIRECTIONAL REFLECTANCE; DIGITAL ELEVATION MODEL; ESTIMATION METHOD; LANDSAT THEMATIC MAPPER; RADIATIVE TRANSFER; SATELLITE SENSOR; SOLAR RADIATION;

ASIA; CHINA; EURASIA; FAR EAST; JIANGXI;

EID: 70449447670     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160802558618     Document Type: Article

References (34)

1. BREST, C.L. and GOWARD, S.N., 1987, Deriving surface albedo measurements from narrow satellite data. International Journal of Remote Sensing, 8, pp. 351-367.
2. CHEN, Y., HALL, A. and LIOU, K.N., 2006, Application of three-dimensional solar radiative transfer to mountains. Journal of Geophysics Research, 111, D21111.1-D21111.13.
3. DANAHER, T.J., 2002, An empirical BRDF correction for Landsat TM and ETM+ imagery. In Proceedings of the 11th Australasian Remote Sensing and Photogrammetry Conference, Brisbane, Australia, 20-24 September, pp. 966-977. Available on CDROM.
4. Danaher, T.J., Xiolaing, W. and Campbell, N.A., 2001, Bi-directional reflectance distribution function approaches to radiometric calibration of Landsat ETM+ imagery. In Proceedings of the IEEE 2001 International Geoscience and Remote Sensing Symposium, University of NSW, Sydney, Australia, 9-13 July 1993, pp. 3654-3657. Available on CD-ROM.
5. DEGUI, G., GILLESPIE, A.R., ADAMS, J.B. and WEEKS, R., 1999, A statistical approach for topographic correction of satellite images by using context information. IEEE Transactions on Geoscience and Remote Sensing, 37, pp. 236-246.
6. DOZIER, J. and FREW, J., 1990, Rapid calculation of terrain parameters for radiation modeling from digital elevation data. IEEE Transactions on Geoscience and Remote Sensing, 28, pp. 963-969.
7. DUBAYAH, R., 1992, Estimating net solar radiation using Landsat Thematic Mapper and digital elevation data. Water Resource Research, 28, pp. 2469-2484.
8. DUGUAY, C.R., 1992, Estimating surface reflectance and albedo from Landsat-5 Thematic Mapper over rugged terrain. Photogrammetric Engineering & Remote Sensing, 58, pp. 551-558.
9. DYMOND, J.R. and SHEPHERD, J.D., 1999, Correction of the topographic effect in remote sensing. IEEE Transactions on Geoscience and Remote Sensing, 37, pp. 2618-2620.
10. GRATTON, J.D., HOWARTH, P.J. and MARCEAU, D.J., 1993, Using Landsat-5 Thematic Mapper and digital elevation data to determine the net radiation field of a mountain glacier. Remote Sensing of Environment, 43, pp. 315-331.
11. GU, D. and GILLESPIE, A., 1998, Topographic normalization of Landsat TM images of forest based on subpixel sun-canopy-sensor geometry. Remote Sensing of Environment, 64, pp. 166-175.
12. GUTMAN, G., 1994, Normalization of multi-annual global AVHRR reflectance data over land surfaces to common sun-target-sensor geometry. Advance Space Research, 14, pp. 121-124.
13. GYANESH, C. and BRIAN, M., 2003, Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges. IEEE Transactions on Geoscience and Remote Sensing, 41, pp. 2674-2677.
14. HANSEN, L.B., KAMSTRUP, N. and HANSEN, B.ULF., 2002, Estimation of net short-wave radiation by the use of remote sensing and a digital elevation model: a case study of a high arctic mountainous area. International Journal of Remote Sensing, 23, pp. 4699-4718.
15. HAY, J.E. and MCKAY, D.C., 1985, Estimating solar irradiance on inclined surfaces: a review and assessment of methodologies. International Journal of Solar Energy, 33, pp. 203-204.
16. HOLBEN, B.N. and JUSICE, C.O., 1980, The topographic effect on spectral response from nadir-pointing sensors. Photogrammetric Engineering and Remote Sensing, 46, pp. 1191-1200.
17. HOLBEN, B.N. and JUSICE, C.O., 1981, An examination of spectral band ratio to reduce the topographic effect on remotely-sensed data. International Journal of Remote Sensing, 2, pp. 115-123.
18. KONDRATYEV, K.YA., 1977, Radiation regime of inclined surfaces. WMO Technique Note, 152, pp. 36-61.
19. LIANG, S., 2004, Quantitative Remote Sensing of Land Surface (New Jersey: John Wiley and Sons, Inc.).
20. LIANG, S. and STRAHLER, A.H., 1994, Retrieval of surface BRDF from multiangle remotely sensed data. Remote Sensing of Environment, 50, pp. 18-30.
21. PROY, C., TANRE, D. and DESCHAMPS, P.Y., 1989, Evaluation of topographic effects in remotely sensed data. Remote Sensing of Environment, 30, pp. 21-32.
22. RICHTER, R., 1997, Correction of atmospheric and topographic. effects for high spatial resolution satellite imagery. International Journal of Remote Sensing, 18, pp. 1099-1111. 2894.
23. RICHTER, R. and SCHLÄ PFER, D., 2002, Geo-atmospheric processing of airborne imaging spectrometry data: Part 2. Atmospheric/topographic correction. International Journal of Remote Sensing, 23, pp. 2631-2649.
24. SANDMEIER, S. and ITTEN, K., 1997, A physically-based model to correct atmospheric and illumination effects in optical satellite data of rugged terrain. IEEE Transactions on GeoScience and Remote Sensing, 35, pp. 708-717.
25. SCOTT, A.S. and DEREK, R.P., 2005, SCS + C: A modified sun-canopy-sensor topographic correction in forested terrain. IEEE Transactions on Geoscience and Remote Sensing, 43, pp. 2148-2150.
26. SHEPHERD, J.D. and DYMOND, J.R., 2003, Correcting satellite imagery for the variance of reflectance and illumination with topography. International Journal of Remote Sensing, 24, pp. 3503-3514.
27. SMITH, J.A., LIN, T.L. and RANSON, K.J., 1980, The Lambertian assumption and Landsat data. Photogrammetric Engineering and Remote Sensing, 46, pp. 1183-1189.
28. TEILLET, P.M., GUINDON, B. and GOODENOUGH, D.G., 1982, On the slope-aspect correction of multispectral scanner data. Canada Journal of Remote Sensing, 8, pp. 84-106.
29. TEMPS, R.C. and COULSON, K.L., 1977, Solar radiation incident upon slopes of different orientations. Solar Energy, 19, pp. 179-184.
30. ULRICH, B., 2001, Correction of Bidirectional Effects in Imaging Spectrometer Data (Zurich: Remote Sensing laboratories, Department of Geography, University of Zurich).
31. WALTHALL, G.L., NORMAN, J.M., WELLES, J.M., CAMPBELL, G. and BLAD, B.L., 1985, Simple equation to approximate the bi-directional reflectance from vegetative canopies and bare soil surfaces. Applied Optics, 24, pp. 383-387.
32. WANG, J., WHITE, K. and ROBINSON, G.J., 2000, Estimating surface net solar radiation by use of Landsat-5 TM and digital elevation models. International Journal of Remote Sensing, 21, pp. 31-43.
33. WU, A., LI, Z. and CIHLAR, J., 1995, Effects of land cover type and greenness on advanced very high resolution radiometer bidirectional reflectance: Analysis and removal. Journal of Geophysics Research, 100, pp. 9179-9192.
34. YAN, G.J., ZHU, C.G., GUO, J., WANG, J.D. and LI, X.W., 2000, A model based radiatie transfer algorithm to correct remotely sensed image in mountainous area. Journal of Image and Graphics, 5, pp. 11-15.