Angular effects and correction for medium resolution sensors to support crop monitoring

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 7, Issue 11, 2014, Pages 4480-4489

  Gao, Feng ^a   He, Tao ^b   Masek, Jeffrey G ^c   Shuai, Yanmin ^c   Schaaf, Crystal B ^d   Wang, Zhuosen ^c  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

^c NASA GODDARD SPACE FLIGHT CENTER   (United States)

^d UNIVERSITY OF MASSACHUSETTS BOSTON   (United States)

Author keywords

Advanced wide field sensor (AWiFS); bi directional reflectance distribution function (BRDF); crop condition; directional reflectance; Landsat; Time series analysis

Indexed keywords

ANGULAR DISTRIBUTION; CONDITION MONITORING; CROPS; DISTRIBUTION FUNCTIONS; HARMONIC ANALYSIS; IMAGE RECONSTRUCTION; RADIOMETERS; REFLECTION; REMOTE SENSING; SATELLITE IMAGERY;

BIDIRECTIONAL REFLECTANCE DISTRIBUTION FUNCTIONS; CROP CONDITION; DIRECTIONAL REFLECTANCES; LANDSAT; WIDE FIELD;

TIME SERIES ANALYSIS;

AGRICULTURAL APPLICATION; AGRICULTURAL LAND; CROP PRODUCTION; LANDSAT; MODIS; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY; TIME SERIES ANALYSIS;

EID: 85027927211     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2343592     Document Type: Article

References (30)

1. C. Boryan, Z. Yang, R. Mueller, and M. Craig, "Monitoring US agriculture: The US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program," Geocarto Int., vol. 25, no. 5, pp. 341-358, 2011, doi: 10.1080/10106049.2011.562309.
2. USDA National Agricultural Statistics Service (NASS) Cropland Data Layer (CDL) [Online]. Available: http://www.nass.usda.gov/research/Cropland/SARS1a.htm, accessed on Aug. 5, 2014.
3. S. N. Goward et al., "Complementarity of ResourceSat-1 AWiFS and Landsat TM/ETM+ sensors," Remote Sens. Environ., vol. 123, pp. 41-56, 2012.
4. M. Wulder, J. G. Masek, W. B. Cohen, T. R. Loveland, and C. E. Woodcock, "Opening the archive: How free data has enabled the science and monitoring promise of Landsat," Remote Sens. Environ., vol. 122, pp. 2-10, 2012.
5. D. W. Deering and A. Leone, "A sphere-scanning radiometer for rapid directional measurement of sky and ground radiance," Remote Sens. Environ., vol. 19, pp. 1-24, 1986.
6. D. W. Deering, T. F. Eck, and T. Grier, "Shinnery oak bidirectional reflectance properties and canopy model inversion," IEEE Trans. Geosci. Remote Sens., vol. 30, no. 2, pp. 339-348, Mar. 1992.
7. D. W. Deering et al., "Prairie grassland bidirectional reflectance measured by different instruments at the FIFE site," J. Geophys. Res., vol. 97, pp. 18,887-18,903, 1992.
8. D. W. Deering, E. M. Middleton, and T. F. Eck, "Reflectance anisotropy for a spruce-hemlock forest canopy," Remote Sens. Environ., vol. 47, pp. 242-260, 1994.
9. D. S. Kimes, "Dynamics of directional reflectance factor distribution for vegetation canopies," Appl. Opt., vol. 22, pp. 1364-1372, 1983.
10. D. S. Kimes, W. W. Newcomb, R. F. Nelson, and J. B. Schutt, "Directional reflectance distributions of hardwood and pine forest canopy," IEEE Trans. Geosci. Remote Sens., vol. 24, no. 2, pp. 281-293, Mar. 1986.
11. C. B. Schaaf et al., "First operational BRDF albedo nadir reflectance products from MODIS," Remote Sens. Environ., vol. 83, pp. 135-148, 2002.
12. M. Leroy and F. M. Breon, "Surface reflectance angular signatures from airborne POLDER data," Remote Sens. Environ., vol. 57, pp. 97-107, 1996.
13. M. Leroy et al., "Retrieval of atmosphere properties and surface bidirectional reflectance over land from POLDER ADEOS," J. Geophys. Res., vol. 102, pp. 17023-17037, 1997.
14. P. Bicheron and M. Leroy, "Bidirectional reflectance distribution function signatures of major biomes observed from space," J. Geophys. Res., vol. 105, no. D21, pp. 26,669-26,681, 2000.
15. D. J. Diner et al., "Multi-angle Imaging SpectroRadiometer (MISR) instrument description and experiment overview," IEEE Trans. Geosci. Remote Sens., vol. 36, no. 4, pp. 1072-1087, Jul. 1998.
16. M. Schlerf and C. Atzberger, "Vegetation structure retrieval in beech and spruce forests using spectrodirectional satellite data," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 1, pp. 8-17, Feb. 2012.
17. W. A. Dorigo, "Improving the robustness of cotton status characterisation by radiative transfer model inversion of multi-angular CHRIS/PROBA data," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 1, pp. 18-29, Feb. 2012.
18. D. P. Roy et al., "Multi-temporal MODIS-Landsat data fusion for relative radiometric normalization, gap filling, and prediction of Landsat data," Remote Sens. Environ., vol. 112, pp. 3112-3130, 2008.
19. F. Li et al., "An evaluation of the use of atmospheric and BRDF correction to standardize Landsat data," IEEE J. Sel. Topics Appl. Earth Observ., vol. 3, no. 3, pp. 257-270, Sep. 2010.
20. Y. Shuai, J. G. Masek, F. Gao, and C. B. Schaaf, "An algorithm for the retrieval of 30-m snow-free albedo from Landsat surface reflectance and MODIS BRDF," Remote Sens. Environ., vol. 115, pp. 2204-2216, 2011.
21. G. Schaepman-Strub, M. E. Schaepman, T. H. Painter, S. Dangel, and J. V. Martonchik, "Reflectance quantities in optical remote sensing-Definitions and case studies," Remote Sens. Environ., vol. 103, pp. 27-42, 2006.
22. J. L. Roujean, M. Leroy, and P. Y. Deschamps, "A bidirectional reflectance model of the earth's surface for the correction of remote sensing data," J. Geophys. Res., vol. 97, no. D18, pp. 20,455-20,468, 1992.
23. W. Wanner, X. Li, and A. H. Strahler, "On the derivation of kernels and kernel-driven models of bidirectional reflectance," J. Geophys. Res., vol. 100, no. D10, pp. 21077-21089, 1995.
24. C. Schaaf, J. Liu, F. Gao, and A. H. Strahler, "MODIS albedo and reflectance anisotropy products from Aqua and Terra," in Land Remote Sensing and Global Environmental Change: NASA's Earth Observing System and the Science of ASTER and MODIS, vol. 11, Remote Sensing and Digital Image Processing, B. Ramachandran, C. Justice, and M. Abrams, Eds. Berlin, Germany: Springer-Verlag, 2011, p. 873.
25. B. Hu, W. Lucht, X. Li, and A. H. Strahler, "Validation of kernel-driven models for the BRDF of land surfaces," Remote Sens. Environ., vol. 62, pp. 201-214, 1997.
26. J. L. Privette, T. F. Eck, and D. W. Deering, "Estimating spectral albedo and nadir reflectance through inversion of simple BRDF models with AVHRR/MODIS-like data," J. Geophys. Res., vol. 102, no. D24, pp. 29,529-29,542, 1997.
27. X. Li, F. Gao, J. Wang, and A. H. Strahler, "A priori knowledge accumulation and its application to constrain inversion of kernel-driven linear BRDF models," J. Geophys. Res., vol. 106, no. D11, pp. 11,925-11,936, 2001.
28. Z. Jiao et al., "An anisotropic flat index (AFX) to derive BRDF archetypes from MODIS," Remote Sens. Environ., vol. 141, pp. 168-187, 2014.
29. G. Chander, M. J. Coan, and P. L. Scaramuzza, "Evaluation and comparison of the IRS-P6 and the Landsat sensors," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 1, pp. 209-221, Jan. 2008.
30. F. Gao, Y. Jin, X. Li, C. B. Schaaf, and A. H. Strahler, "Bidirectional NDVI and atmospherically resistant BRDF inversion for vegetation canopy," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 6, pp. 1269-1278, Jun. 2002.