Determination of green herbage ratio in grasslands using spectral reflectance. Methods and ground measurements

International Journal of Remote Sensing

Volumn 28, Issue 5, 2007, Pages 931-942

  Gianelle, D ^a   Vescovo, L ^a  

^a CENTRO DI ECOLOGIA ALPINA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMASS; CORRELATION METHODS; VEGETATION;

GRASSLANDS; GREEN RATIO; NORMALIZED DIFFERENCE VEGETATION INDEX; STANDARD DEVIATION;

SPECTRUM ANALYSIS;

BIOMASS; CORRELATION; DATA SET; GRASSLAND; GROUND-BASED MEASUREMENT; NDVI; PHYTOMASS; SPECTRAL ANALYSIS;

ALPS; AUSTRALASIA; EURASIA; EUROPE; NEW ZEALAND; SOUTH ISLAND;

EID: 33947504454     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160500196398     Document Type: Article

References (37)

1. Asrar, G., Fuch, M., Kanemasu, E. T. and Hatfield, J. L. (1984) Estimating absorbed photosynthetic radiation and leaf area index form spectral reflectance in wheat. Agronomy Journal, 76, pp. 300-306.
2. Bonham (1989) Measurement for terrestrial vegetation, John Wiley & Sons, New York
3. Chen, J. (1996) Evaluation of vegetation indices and modified simple ratio for boreal applications. Canadian Journal of Remote Sensing, 22, pp. 229-242.
4. Curran, P. J. (1989) Remote sensing of foliar chemistry. Remote Sensing of Environment, 30, pp. 271-278.
5. Datt, B. (1999) A new reflectance index for remote sensing of chlorophyll content in higher plants: Tests using Eucalyptus leaves. Journal of Plant Physiology, 154, pp. 30-36.
6. Garcia, F., Carrère, P. J., Soussana, F. and Baumont, R. (2003) How do severity and frequency of grazing affect sward characteristics and the choices of sheep during the grazing season?. Grass & Forage Science, 582, pp. 138-150.
7. Gillen, R. L. and Tate, K. W. (1993) The constituent differential method for determining live and dead herbage. Journal of Range Management, 43, pp. 142-147.
8. Gitelson, A. A. (2004) Wide Dynamic Range Vegetation Index for remote quantification of biophysical characteristics of vegetation. Journal of Plant Physiology, 161, pp. 165-173.
9. Gitelson, A. A., Kaufman, Y. J. and Merzlyak, M. N. (1996) Use of a green channel in remote sensing of global vegetation from EOS-MODIS. Remote Sensing of Environment, 58, pp. 289-298.
10. Gitelson, A. A., Vĩa, A., Arkebauer, T. J., Rundquist, D. C., Keydan, G. and Leavitt, B. (2003) Remote estimation of leaf area index and green leaf biomass in maize canopies. Geophysical Research Letters, 305, pp. 1248-1251.
11. Goel, N. S. and Quin, W. (1994) Influences of canopy architecture on relationships between various vegetation indexes and LAI and FPAR: A computer simulation. Remote Sensing of Environment, 10, pp. 309-347.
12. Heady, H. F. and Van Dyne, G. M. (1965) Prediction of weight composition from point samples of clipped herbage. Journal of Range Management, 18, pp. 144-148.
13. Herrmann, A. and Schachtel, G. A. (2001) OSYAQ, an organ-specific growth model for forage grasses. Grass and Forage Science, 563, pp. 268-284.
14. Huete, A. R. (1988) A Soil Adjusted Vegetation Index (SAVI). Remote Sensing of Environment, 25, pp. 295-309.
15. Jordan, C. F. (1969) Derivation of leaf area index from quality of light on the forest floor. Ecology, 50, pp. 663-666.
16. Lauenroth, W. K., Dodd, J. L. and Dickinson, C. E. (1980) Aboveground biomass dynamic of Blue Grama in a shortgrass steppe and evaluation of a method for separating live and dead. Journal of Range Management, 33, pp. 210-212.
17. Launchbaugh, K. L., Stuth, J. W. and Holloway, J. W. (1990) Influence of range site on diet selection and nutrient intake of cattle. Journal of Range Management, 43, pp. 109-116.
18. Liu, H. Q. and Huete, A. R. (1995) A feedback based modification of the NDVI to minimize canopy background and atmospheric noise. IEEE Transactions on Geoscience and Remote Sensing, 33, pp. 457-465.
19. Lodge, G. M., Murphy, R. and Harden, S. (2003) Effects of grazing and management on herbage mass, persistence, animal production and soil water content of native pastures. 1. A redgrass-wallaby grass pasture, Barraba, North West Slopes, New South Wales. Australian Journal of Experimental Agriculture, 438, pp. 875-890.
20. Merzlyak, M. N., Gitelson, A. A., Chivkunova, O. B., Solovchenko, A. E. and Pogosyan, S. I. (2003) Application of reflectance spectroscopy for analysis of higher plant pigments. Russian Journal of Plant Physiology, 505, pp. 704-710.
21. Moran, M. S., Inoue, Y. and Barnes, E. M. (1997) Opportunities and limitations for image-based remote sensing in precision crop management. Remote Sensing of Environment, 61, pp. 319-346.
22. Reeves, M. C., Jerome, C. W. and Running, S. W. (2001) Mapping weekly rangeland vegetation productivity using MODIS algorithms. Journal of Range Management, 54, pp. A90-A105.
23. Roujean, J. L. and Beron, F. M. (1995) Estimating PAR absorbed by vegetation and bidirectional reflectance measurements. Remote Sensing of Environment, 51, pp. 375-384.
24. Rouse, J. W., Hass, R. H., Shell, J. A. and Deering, D. W. (1974) Monitoring vegetation systems in the great plains with ERTS-1. Proceedings of the 3rd Earth Resources Technology Satellite Symposium, 1, pp. 309-317.
25. Rundquist, B. C. (2002) The influence of canopy green vegetation fraction on spectral measurements over native tallgrass prairie. Remote Sensing of Environment, 81, pp. 129-135.
26. Serrano, L., Gamon, J. and Penuelas, J. (2000) Estimation of canopy photosynthetic and nonphotosynthetic components from spectral transmittance. Ecology, 81, pp. 3149-3162.
27. Stark, R., Gitelson, A. A., Grits, U., Rundquist, D. and Kaufman, Y. (2000) New technique for remote estimation of vegetation fraction: principles, algorithms and validation. Aspects of Applied Biology, 60, pp. 241-246.
28. Tappeiner, U. and Cernusca, A. (1998) Model simulation of spatial distribution of photosynthesis in structurally differing plant communities in the Central Caucasus. Ecological Modelling, 113, pp. 201-223.
29. Teague, W. R. and Foy, J. K. (2002) Validation of SPUR2.4 rangeland simulation model using a cow-calf eld experiment. Agricultural systems, 74, pp. 287-302.
30. Tucker, C. (1977) Spectral estimation of grass canopy variables. Remote Sensing of Environment, 6, pp. 11-26.
31. Tucker, C. (1979) Red and photographic infrared linear combination for monitoring vegetation. Remote Sensing of Environment, 8, pp. 127-150.
32. Tucker, C. (1980) A spectral method for determining the percentage of green herbage material in clipped sample. Remote Sensing of Environment, 9, pp. 175-181.
33. Viña, A., Gitelson, A. A., Rundquist, D. C., Keydan, G., Leavitt, B. and Schepers, J. (2004) Monitoring Maize (Zea mays L.) phenology with remote sensing. Agronomy Journal, 96, pp. 1139-1147.
34. White, M. A., Asner, G. P., Nemani, R. R., Privette, J. L. and Running, S. W. (2000) Measuring fractional cover and leaf area index in arid ecosystems: Digital camera, radiation transmittance, and laser altimetry methods. Remote Sensing of Environment, 74, pp. 45-57.
35. Woebbecke, D. M., Meyer, G. E., Von Bargen, K. and Mortensen, D. A. (1995) Color indices for weed identification under various soil residue and lighting conditions. Transactions of the ASAE, 381, pp. 259-269.
36. Zeng, X., Dickinson, R. E., Walker, A., Shaikh, M., DeFries, R. S. and Qi, J. (2000) Derivation and evaluation of global 1-km fractional vegetation cover data for land modeling. Journal of Applied Meteorology, 39, pp. 826-839.
37. Zhang, J. and Romo, J. T. (1994) Defoliation of a northern wheatgrass community: Above- and belowground phytomass productivity. Journal of Range Management, 47, pp. 279-284.