Vegetation indices: Advances made in biomass estimation and vegetation monitoring in the last 30 years

Geocarto International

Volumn 21, Issue 4, 2006, Pages 21-28

  Silleos, Nikolaos G ^a   Alexandridis, Thomas K ^a   Gitas, Ioannis Z ^a   Perakis, Konstantinos ^b  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^b UNIVERSITY OF THESSALY   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMASS; HEALTH; NUTRIENTS; VEGETATION; WATER;

BIOMASS; CROP DAMAGE; ESTIMATION METHOD; MONITORING SYSTEM; VEGETATION CLASSIFICATION; VEGETATION INDEX; WHEAT;

EURASIA; EUROPE; GREECE; SOUTHERN EUROPE;

TRITICUM AESTIVUM;

EID: 40849110190     PISSN: 10106049     EISSN: None     Source Type: Journal    
DOI: 10.1080/10106040608542399     Document Type: Review

References (38)

1. Ashburn, P. (1978) The vegetative index number and crop identification. The LACIE Symposium Proceedings of the Technical Session, pp. 843-850.
2. Bannari, A., Huete, A. R., Morin, D. and Zagolski, F. (1996) Effets de la Couleur et de la Brillance du Sol Sur les Indices de Végétation. International Journal of Remote Sensing, 17:10, pp. 1885-1906.
3. Baret, F. and Guyot, G. (1991) Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sensing of Environment, 35:23, pp. 161-173.
4. Baret, F., Guyot, G. and Major, D. (1989) TSAVI: A Vegetation Index Which Minimizes Soil Brightness Effects on LAI and APAR Estimation. 12th Canadian Symposium on Remote Sensing and IGARSS'90 Vancouver, Canadap. 4.
5. Bastiaanssen, W. G. M. (1998) Remote sensing in water resources management: The state of the art, p. 118. International Water Management Institute, Colombo, Sri-Lanka
6. Birth, G. S. and McVey, G. (1968) Measuring the color of growing turf with a reflectance spectroradiometer. Agronomy Journal, 60, pp. 640-643.
7. Clevers, J. P. G. W. (1988) The derivation of a simplified reflectance model for the estimation of Leaf Area Index. Remote Sensing of Environment, 25:1, pp. 53-69.
8. Deering, D. W., Rouse, J. W., Haas, R. H. and Schell, J. A. (1975) Measuring "Forage Production" of Grazing Units From Landsat MSS Data. Proceedings of the 10th International Symposium on Remote Sensing of Environment, pp. 1169-1178.
9. Eastman, R. J. (2003) IDRISI Kilimanjaro. Guide to GIS and Image Processing, Clark Labs, Clark University, Worcester, MA, USA
10. Eklundh, L., Harrie, L. and Kuusk, A. (2001) Investigating relationships between Landsat ETM plus sensor data and leaf area index in a boreal conifer forest. Remote Sensing of Environment, 78:3, pp. 239-251.
11. Fensholt, R. (2004) Earth observation of vegetation status in the Sahelian and Sudanian West Africa: Comparison of terra MODIS and NOAA AVHRR satellite data. International Journal of Remote Sensing, 25:9, pp. 1641-1659.
12. Ferreira, L. G. and Huete, A. R. (2004) Assessing the seasonal dynamics of the Brazilian Cerrado vegetation through the use of spectral vegetation indices. International Journal of Remote Sensing, 25:10, pp. 1837-1860.
13. Fung, T. and LeDrew, E. (1988) The Determination of Optimal Threshold Levels for Change Detection Using Various Accuracy Indices. Photogrammetric Engineering and Remote Sensing, 54:10, pp. 1449-1454.
14. Gilabert, M. A., Gonzalez-Piqueras, J., Garcia-Haro, F. J. and Melia, J. (2002) A generalized soil-adjusted vegetation index. Remote Sensing of Environment, 82:23, pp. 303-310.
15. Huete, A. R. (1988) A Soil-Adjusted Vegetation Index (SAVI). Remote Sensing of Environment, 25:3, pp. 295-309.
16. Huete, A. R., Justice, C. and van Leeuwen, W. (1999) MODIS Vegetation Index (MOD13) Algorithm Theoretical Basis Document, p. 120. NASA Goddard Space Flight Center
17. Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X. and Ferreira, L. G. (2002) Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 80:12, pp. 195-213.
18. Jackson, R. D. and Huete, A. R. (1991) Interpreting vegetation indices. Preventive Veterinary Medicine, 11, pp. 185-200.
19. Jensen, J. R. (2000) Remote sensing of the environment: An earth resources perspective, p. 526. Prentice-Hall, Inc.
20. Jensen, J. R. (2005) Introductory digital image processing: A remote sensing perspective, p. 544. Prentice-Hall, Inc.
21. Kauth, R. J. and Thomas, G. S. (1976) The Tasseled Cap - A Graphic Description of the Spectral Temporal Development of Agricultural Crops As Seen By Landsat. Proceedings of the Symposium on Machine Processing of Remotely Sensed Data Perdue University, pp. 41-51. West Lafayette, Indiana
22. Kogan, F. N. (1990) Remote Sensing of Weather Impacts on Vegetation in Nonhomogeneous Areas. International Journal of Remote Sensing, 11:8, pp. 1405-1419.
23. Liu, W. T. and Kogan, F. N. (1996) Monitoring Regional Drought Using the Vegetation Condition Index. International Journal of Remote Sensing, 17:14, pp. 2761-2782.
24. Lu, D., Mausel, P., Brondizio, E. and Moran, E. (2004) Change detection techniques. International Journal of Remote Sensing, 25:12, pp. 2365-2407.
25. Payero, J. O., Neale, C. M. U. and Wright, J. L. (2004) Comparison of eleven vegetation indices for estimating plant height of alfalfa and grass. Applied Engineering in Agriculture, 20:3, pp. 385-393.
26. Peddle, D. R., Brunke, S. P. and Hall, F. G. (2001) A comparison of spectral mixture analysis and ten vegetation indices for estimating boreal forest biophysical information from airborne data. Canadian Journal of Remote Sensing, 27:6, pp. 627-635.
27. Perry Jr., C. and Lautenschlager, L. F. (1984) Functional Equivalence of Spectral Vegetation Indices. Remote Sensing of Environment, 14:13, pp. 169-182.
28. Price, K. P., Guo, X. L. and Stiles, J. M. (2002) Optimal Landsat TM band combinations and vegetation indices for discrimination of six grassland types in eastern Kansas. International Journal of Remote Sensing, 23:23, pp. 5031-5042.
29. Qi, J., Chehbouni, A., Huete, A. R., Kerr, Y. H. and Sorooshian, A. (1994) A Modified Soil Adjusted Vegetation Index. Remote Sensing of Environment, 48:2, pp. 119-126.
30. Richardson, A. J. and Wiegand, C. L. (1977) Distinguishing Vegetation From Soil Background Information. Photogramnetric Engineering and Remote Sensing, 43:12, pp. 1541-1552.
31. Rouse Jr., J. W., Haas, R. H., Deering, D. W., Schell, J. A. and Harlan, J. C. (1974) Monitoring the Vernal Advancement and Retrogradation (Green Wave Effect) of Natural Vegetation, p. 371. Greenbelt, MD
32. Silleos, N., Perakis, K. and Petsanis, G. (2002) Assessment of crop damages using Space remote sensing and GIS. International Journal of Remote Sensing, 23:3, pp. 417-427.
33. Singh, A. and Harrison, A. (1985) Standardized Principal Components. International Journal of Remote Sensing, 6:6, pp. 883-896.
34. Song, C., Woodcock, C. E., Seto, K. C., Lenney, M. Pax and Macomber, S. A. (2001) Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects?. Remote Sensing of Environonment, 75:2, pp. 230-244.
35. Steven, M. D., Malthus, T. J., Baret, F., Xu, H. and Chopping, M. J. (2003) Intercalibration of vegetation indices from different sensor systems. Remote Sensing of Environment, 88:4, pp. 412-422.
36. Thiam, A. K. (1997) Geographic Information Systems and Remote Sensing Methods for Assessing and Monitoring Land Degradation in the Sahel: The Case of Southern Mauritania, Clark University, Worcester, Massachusetts
37. Tripathy, G. K., Ghosh, T. K. and Shah, S. D. (1996) Monitoring of Desertification Process in Karnataka State of India Using Multi-Temporal Remote Sensing and Ancillary Information Using GIS. International Journal of Remote Sensing, 17:12, pp. 2243-2257.
38. Vaiopoulos, D., Skianis, G. and Nikolakopoulos, K. (2004) The contribution of probability theory in assessing the efficiency of two frequently used vegetation indices. International Journal of Remote Sensing, 25:20, pp. 4219-4236.