Leaf area index estimates using remotely sensed data and BRDF models in a semiarid region

Remote Sensing of Environment

Volumn 73, Issue 1, 2000, Pages 18-30

  Qi, J ^a   Kerr, Y H ^b   Moran, M S ^a   Weltz, M ^c   Huete, A R ^d   Sorooshian, S ^d   Bryant, R ^a  

^a U S WATER CONSERVATION LABORATORY   (United States)

^b CNES   (France)

^c U S DEPARTMENT OF AGRICULTURE   (United States)

^d UNIVERSITY OF ARIZONA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARID REGIONS; FUNCTIONS; FUZZY SETS; IMAGE ANALYSIS; MATHEMATICAL MODELS; RADIOMETERS; VEGETATION;

ADVANCED VERY HIGH RESOLUTION RADIOMETERS (AVHRR); BIDIRECTIONAL REFLECTANCE DISTRIBUTION FUNCTIONS (BRDF); LEAF AREA INDEX (LAI); SPECTRAL VEGETATION INDEX (SVI); THEMATIC MAPPING;

REMOTE SENSING;

ESTIMATION METHOD; LEAF AREA INDEX; REMOTE SENSING; SEMIARID REGION;

NIGER;

EID: 0033939757     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0034-4257(99)00113-3     Document Type: Article

References (43)

1. Asrar G., Kanemasu E.T., Jackson R.D., Pinter P.J. Jr. Estimation of total above-ground phytomass production using remotely sensed data. Remote Sens. Environ. 17:1985;211-220. a.
2. Asrar G., Kanemasu E.T., Yoshida M. Estimates of leaf area index from spectral reflectance of wheat under different cultural practices and solar angle. Remote Sens. Environ. 17:1985;1-11. b.
3. Baret, F. (1995), Use of spectral reflectance variation to retrieve canopy biophysical characteristics. In Advances in Environmental Remote Sensing (M. Darson and S. Plummer, Eds.), John Wiley and Sons, Inc., pp.33-51.
4. Best R.G., Harlan J.C. Spectral estimation of green leaf area index of oats. Remote Sens. Environ. 17:1985;27-36.
5. Burgess D.W., Pairman D. Bidirectional reflectance effects in NOAA AVHRR data. Int. J. Remote Sens. 18:1997;2815-2825.
6. Clevers J.G.P.W. The application of a weighted infrared-red vegetation index for estimating leaf area index. Remote Sens. Environ. 29:1989;25-37.
7. Curran P.J. Multispectral remote sensing for the estimation of green leaf area index. Phil. Trans. Roy. Soc. London Ser. A. 309:1983;257-270.
8. Deering, D. W. (1989), Field measurements of bidirectional reflectance. In Theory and Applications of Optical Remote Sensing (G. Asrar, Ed.), John Wiley and Sons, Inc., pp. 14-65.
9. Goel N.S., Deering D.W. Evaluation of a canopy reflectance model for LAI estimation through its inversion. IEEE Trans. Geosci. Remote Sens. GE-23:1985;674-684.
10. Goel N.S., Grier T. Estimation of canopy parameters of row planted vegetation canopies using reflectance data for only four views. Remote Sens. Environ. 21:1987;37-51.
11. Goel N.S., Thompson R.L. Inversion of vegetation canopy reflectance models for estimating agronomic variables. IV. Total inversion of the SAIL model. Remote Sens. Environ. 15:1984;237-253. a.
12. Goel N.S., Thompson R.L. Inversion of vegetation canopy reflectance models for estimating agronomic variables V. Estimation of LAI and average leaf angle using measured canopy reflectances Remote Sens. Environ. 16:1984;69-85. b.
13. Goutorbe J.P., Lebel T., Tinga A.et al. Hapex-Sahel. a large scale study of land-atmosphere interactions in the semi-arid tropics Ann. Geophys. 12:1994;53-64.
14. Holben B.N., Justice C.O. The topographic effect on spectral response from nadir-pointing sensors. Photogrammetric Engineering and Remote Sensing. 46:1980;1191.
15. Huete A.R. A soil-adjusted vegetation index (SAVI). Remote Sens. Environ. 25:1988;295-309.
16. Huete, A. R. (1989), Soil influences in remotely sensed vegetation-canopy spectra. In Theory and Applications of Optical Remote Sensing (G. Asrar, Ed.), John Wiley and Sons, Inc., pp. 107-141.
17. Huete A.R., Hua G., Qi J., Chehbouni A., van Leeuwen W.J.D. Normalization of multidirectional red and NIR reflectances with the SAVI. Remote Sens. Environ. 41:1992;143-154.
18. Jackson R.D., Teillet P.M., Slater P.N.et al. Bidirectional measurements of surface reflectance for view angle corrections of oblique imagery. Remote Sens. Environ. 32:1990;189-202.
19. Jacquemoud S. Inversion of the PROSPECT+SAIL canopy reflectance models from AVIRIS equivalent spectra. theoretical study Remote Sens. Environ. 44:1993;281-292.
20. Jacquemoud S., Baret F., Andrieu B., Danson F.M., Jaggard K. Extraction of vegetation biophysical parameters by inversion of the PROSPECT+SAIL models on sugar beet canopy reflectance data. Applications to TM and AVIRIS sensors. Remote Sens. Environ. 52:1995;163-172.
21. Justice C.O., Wharton S.W., Holben B.N. Application of digital terrain data to quantify and reduce the topographic effect on Landsat data. Int. J. Remote Sens. 2:1981;213-230.
22. Kaufman, Y. J. (1989), The atmospheric effect n remote sensing and its correction. In Theory and Applications of Optical Remote Sensing (G. Asrar, Ed.), John Wiley and Sons, Inc., pp. 336-428.
23. Kaufman Y.J., Tanré D. Atmospherically resistant vegetation index (ARVI) for EOS-MODIS. IEEE Trans. Geosci. Remote Sens. 30:1992;261-270.
24. Kerr Y.H. Hapex-Sahel Information System. 1994;CD-ROMs, CESBIO, Toulouse, France.
25. Kimes D.S., Newcomb W.W., Tucker C.J.et al. Directional reflectance factor distributions for cover types of Northern Africa. Remote Sens. Environ. 18:1985;1-19.
26. Kustas P.W., Goodrich D.C., Moran S.M.et al. An interdisciplinary field study of the energy and water fluxes in the atmosphere-biosphere system over semiarid rangelands. description and some preliminary results Bull. Am. Meteorol. Soc. 72:1991;1683-1705.
27. Moran M.S., Jackson R.D., Clarke T.R.et al. Reflectance factor retrieval from Landsat TM and SPOT HRV data for bright and dark targets. Remote Sens. Environ. 52:1996;218-230.
28. Peterson D.L., Spanner M.A., Running S.W., Teuber K.B. Relationship of thematic mapper simulator data to leaf area index of temperate coniferous forest. Remote Sens. Environ. 22:1987;323-341.
29. Pinter, P. J., Jr., Kelly, H. L., Jr., and Schnell, S. (1987), Spectral estimation of alfalfa biomass under conditions of variable cloud cover. In 18th Conference of Agricultural and Forest Meteorology, 15-18 September, Purdue University, W. Lafayette, IN, pp. 83-86.
30. Pinty B., Verstraete M.M. Gemi. a non-linear index to monitor global vegetation from satellites Vegetatio. 101:1992;15-20.
31. Pinty B., Verstraete M.M., Dickinson R.E. A physical model of the bidirectional reflectance of vegetation canopies 2. Inversion and validation. Journal of Geophysical Research. 95(D8):1990;11,767-11,775.
32. Price J.C., Bausch J.C. Leaf area index estimation from visible and near-infrared reflectance data. Remote Sens. Environ. 52:1995;55-65.
33. Prince S.D., Kerr Y.H., Goutorbe J.P.et al. Geographical, biological and remote sensing aspects of the hydrologic atmospheric pilot experiment in the Sahel (Hapex-Sahel). Remote Sens. Environ. 51:1995;215-234.
34. Qi J., Huete A.R., Moran M.S., Chehbouni A., Jackson R.D. Interpretation of vegetation indices derived from multi-temporal SPOT images. Remote Sens. Environ. 44:1993;89-101.
35. Qi J., Kerr, Y., and Chehbouni, A. (1994a), External factor consideration in vegetation index development. In Sixth International Symposium on Physical Measurements and Signatures in Remote Sensing, 17-21 January, CNES, Toulouse, France, pp. 723-730.
36. Qi J., Huete A.R., Cabot F., Chehbouni A. Bidirectional properties and utilizations of high resolution spectra from a semi-arid watershed. Water Resour. Res. 30:1994;1271-1279. b.
37. Qi J., Chehbouni A., Huete A.R., Kerr Y., Sorooshian S. A modified soil adjusted vegetation index (MSAVI). Remote Sens. Environ. 48:1994;119-126. c.
38. Qi J., Cabot F., Moran M.S., Dedieu G. Biophysical parameter retrievals using multidirectional measurements. Remote Sens. Environ. 54:1995;71-83.
39. Rahman H., Dedieu G. Smac. a simplified method for the atmospheric correction of satellite measurements in the solar spectrum Int. J. Remote Sens. 15:1994;123-143.
40. Roujean J.L., Leory M., Podaire A., Deschamps P.Y. Evidence of surface reflectance bidirectional effects from a NOAA/AVHRR multi-temporal data set. Int. J. Remote Sens. 13:1992;685-698.
41. Running, S. W., Myneni, R. B., Nemani, R., and Glassy, J. (1996), MODIS LAI (Leaf Area Index), Algorithm Theoretical Basis Document, 1 November, NASA/Goddard Space Flight Center, Code 900, Greenbelt, MD.
42. Verhoef W. Light scattering by leaf layers with application to canopy reflectance modeling, the SAIL model. Remote Sens. Environ. 16:1984;125-141.
43. Vermote E., Tanré D., Herman M. Atmospheric effects on satellite imagery. correction algorithms for ocean color or vegetation monitoring Int. Soc. Photogramm. Remote Sens. 28:1990;46-55.