A suitable NDVI product for monitoring spatiotemporal variations of LAI in semiarid mixed grassland

Canadian Journal of Remote Sensing

Volumn 38, Issue 6, 2013, Pages 683-694

  Li, Zhaoqin ^a   Guo, Xulin ^a  

^a UNIVERSITY OF SASKATCHEWAN   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION COEFFICIENT; DEAD PLANT MATERIALS; GROWING SEASON; LAND-COVER TYPES; LARGE AMOUNTS; LEAF AREA INDEX; MODEL INPUTS; NDVI DATA; NORMALIZED DIFFERENCE VEGETATION INDEX; SASKATCHEWAN; SPATIAL RESOLUTION; SPATIAL VARIATIONS; SPATIO-TEMPORAL VARIATION; STUDY AREAS; WILDLIFE RESERVES;

RADIOMETERS; RAIN;

VEGETATION;

EID: 84874682588     PISSN: 07038992     EISSN: 17127971     Source Type: Journal    
DOI: 10.5589/m12-055     Document Type: Article

References (40)

1. Andersen, J., Dybkjaer, G., Jensen, K.H., Refsgaard, J.C., and Rasmussen, K. 2002. Use of remotely sensed precipitation and leaf area index in a distributed hydrological model. Journal of Hydrology, Vol. 264, No. 1-4, pp. 34-50. doi: 10.1016/S0022-1694(02)00046-X.
2. Aragao, L.E.O.C., Shimabukuro, Y.E., Sabto, F.D.B.E., and Williams, M. 2005. Spatial validation of the collection 4 MODIS LAI product in Eastern Amazonia. IEEE Transactions on Geoscience and Remote Sensing, Vol. 43, pp. 2526-2534. doi: 10.1109/TGRS.2005.856632.
3. Asner, G.P., Wessman, C.A., Schimel, D.S., and Archer, S. 1998. Variability in leaf and litter optical properties: implications for canopy BRDF model inversions using AVHRR, MODIS, and MISR. Remote Sensing of Environment, Vol. 63, No. 3, pp. 200-215.
4. Avissar, R. 1993. Observations of leaf stomatal conductance at the canopy scale: an atmospheric modelling perspective. Boundary Layer Meteorology, Vol. 64, pp. 127-148. doi: 10.1007/BF00705665.
5. Brown, M.E., Pinzon, J.E., Didan, K., Morisette, J.T., and Tucker, C.J. 2006. Evaluation of the consistency of long-term NDVI time series derived from AVHRR, SPOT-Vegetation, SeaWiFS, MODIS, and Landsat ETM + Sensors. IEEE Transactions on Geoscience and Remote Sensing, Vol. 44, No. 7, pp. 1787-1793. doi: 10.1109/TGRS.2005.860205.
6. Chen, J.M., and Black, T.A. 1992. Defining leaf area index for non-flat leaves. Plant, Cell and Environment, Vol. 15, pp. 421-429. doi: 10.1111/j.1365-3040.1992.tb00992.x.
7. Chavez, PS. 1996. Image-based atmospheric corrections - Revisited and improved. Photogrammetric Engineering and Remote Sensing, Vol. 62, No. 9, pp. 1025-1036.
8. Didan, K., and Huete, A. 2006. MODIS Vegetation Index Product Series Collection 5 Change Summary. Available in http://landweb.nascom.nasa. Gov/QA_WWW/forPage/MOD13_VI_C5_Changes_Document_06_28_06.pdf. Accessed on 15 April, 2012.
9. Fensholt, R., Anyamba, A., Stisen, S., Sandholt, I., Pak, E., and Small, J. 2007. Comparison of compositing period length for vegetation index data from polar-orbiting and geostationary satellites for the cloud-prone region of West Africa. Photogrammetric Engineering and Remote Sensing, Vol. 73, No. 3, pp. 297-309.
10. Galvao, L.S., Vitorello, I., and Pizarro, M.A. 2000. An adequate band positioning to enhance NDVI contrasts among green vegetation, senescent biomass, and tropical soils. International Journal of Remote Sensing, Vol. 21, pp. 1953-1960. doi: 10.1080/014311600209878.
11. Goetz, S.J. 1997. Multi-sensor analysis of NDVI, surface temperature, and biophysical variables at a mixed grassland site. International Journal of RemoteSensing, Vol. 18, No. 1, pp. 71-94. doi: 10.1080/014311697219286.
12. Guo, X. 2002. Discrimination of Saskatchewan prairie ecoregions using multitemporal 10-day composite NDVI data. Prairie Perspectives, Vol. 5, No. 2, pp. 174-186.
13. Gutman, G., and Ignatov, A. 1998. The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models. International Journal Remote Sensing, Vol. 19, No. 8, pp. 1533-1543. doi: 10.1080/014311698215333.
14. He, Y., Guo, X., Wilmshurst, J., and Si, B. 2006. Studying mixed grassland ecosystems II: optimum pixel size. Canadian Journal of Remote Sensing, Vol. 32, No. 2, pp. 108-115. doi: 10.5589/m06-018.
15. Hogan, J.M., and Conly, F.M. 2002. St. Denis National Wildlife Area Land Cover classification:1997. Environment Canada, Report No. 384.
16. Huete, A., Justice, C., and Liu, H. 1994. Development of vegetation and soil indices for MODIS-EOS. Remote Sensing of Environment, Vol. 49, pp. 224-234. doi: 10.1016/0034-4257(94)90018-3.
17. Huete, A., Didan, K., Miura, T., and Rodriguez, E. 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, Vol. 83, No. 1-2, pp. 195-213. doi: 10.1016/S0034-4257(02)00096-2.
18. Jonckheere, I., Fleck, S., Nackaerts, K., Muys, B., Coppin, P, Weiss, M., and Baret, F. 2004. Review of methods for in situ leaf area index determination: Part I. Theories, sensors and hemispherical photography. Agricultural and Forest Meteorology, Vol. 121, No. 1-2, pp. 19-35. doi: 10.1016/j.agrformet.2003.08.027.
19. Justice, C., Belward, A.S., Morisette, J., Lewis, P, Privette, J., and Baret, F. 2000. Developments in the ‘validation’ of satellite sensor products for the study of the land surface. International Journal of Remote Sensing, Vol. 21, No. 17, pp. 3383-3390. doi: 10.1080/014311600750020000.
20. Kustas, W. P, Li, F., Jackson, T. J., Prueger, J. H., MacPherson, J. I., and Wolde, M. 2004. Effects of remote sensing pixel resolution on modeled energy flux variability of croplands in Iowa. Remote Sensing of Environment, Vol. 92, pp. 535-547. doi: 10.1016/j.rse.2004.02.020.
21. Leprieur, C., Kerr, Y.H., Mastorchio, S., and Meunier, J.C. 2000. Monitoring vegetation cover across semiaridregions: comparison of remote observations from various scales. International Journal of Remote Sensing, Vol. 21, No. 2, pp. 281-300. doi: 10.1080/014311600210830.
22. Leuning, R., Cleugh, H.A., Zeglin, S.J., and Hughes, D. 2005. Carbon and water fluxes over a temperate Eucalyptus forest and tropical wet/dry savanna in Australia: measurements and comparison with MODIS remote sensing estimates. Agriculturaland Forest Meteorology, Vol. 129, Nos. 3-4, pp. 153-173.
23. Li, Z., and Guo, X. 2010. A suitable vegetation index for quantifying temporal variation of leaf area index (LAI) in semiarid mixed grassland. Canadian Journal of Remote Sensing, Vol. 36, No. 6, pp. 709-721. doi: 10.5589/m11-002.
24. Maisongrande, P, Duchemin, B., and Dedieu, G. 2004. Vegetation/SPOT: An operational mission for the Earth monitoring: presentation of new standard products. International Journal of Remote Sensing, Vol. 25, No. 1, pp. 9-14. doi: 10.1080/0143116031000115265.
25. McCoy, R.M. 2005. Field Methods in Remote Sensing. The Guildford Press, New York. 23 pp.
26. Myneni, R.B., Hall, F.G., Sellers, P.J., and Marshak, A.L. 1995. The interpretation of spectral vegetation indexes. IEEE Transactions Geosciences and Remote Sensing, Vol. 33, No. 2, pp. 481-486. doi: 10.1109/36.377948.
27. Owensby, C.E. 1998. Role of grasslands as modifiers of global climate change. Session 9 - Climate change: implications and role of grasslands. In Proceeding of 18th International Grassland Congress, June, 1998, Winnipeg, Canada. pp. 9-12.
28. Pisek, J., and Chen J.M. 2007. Comparison and validation of MODIS and VEGETATION global LAI products over four BigFoot sites in North America. Remote Sensing of Environment, Vol. 109, No. 1, pp. 81-94. doi: 10.1016/j.rse.2006.12.004.
29. Rahman, A.F., Gamon, J.A., Sims, D.A., and Schmidts, M. 2003. Optimum pixel size for hyperspectral studies of ecosystem function in southern California chaparral and grassland. Remote Sensing of Environment, Vol. 84, No. 2, pp. 192-207. doi: 10.1016/S0034-4257(02)00107-4.
30. Risch, A.C., and Frank, D.A. 2006. Carbon dioxide fluxes in a spatially and temporally heterogeneous temperate grassland. Ecosystem Ecology, Vol. 147, pp. 291-302.
31. Running, S.W, Baldocchi, D.D., Turner, D.P, Gower, S.T., Bakwin, PS., and Hibbard, K.A. 1999. A global terrestrial monitoring network integrating tower fluxes, flask sampling, ecosystem modelling and EOS satellite data. Remote Sensing of the Environment, Vol. 70, pp. 108-127. doi: 10.1016/S0034-4257(99)00061-9.
32. Stefanov, W.L., and Netzband, M. 2005. Assessment of ASTER land cover and MODIS NDVI data at multiple scales for ecological characterization of an arid urban center. Remote Sensing of Environment, Vol. 99, No. 1-2, pp. 31-43. doi: 10.1016/j.rse.2005.04.024.
33. 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, Vol. 88, No. 4, pp. 412-422. doi: 10.1016/j.rse.2003.08.010.
34. Tarnavsky, E., Garrigues, S., and Brown, M.E. 2008. Multiscale geostatistical analysis of AVHRR, SPOT-VGT, and MODIS global NDVI products. Remote Sensing of Environment, Vol. 112, pp. 535-549. doi: 10.1016/j.rse.2007.05.008.
35. Teillet, PM., Staenz, K., and Williams, D.J. 1997. Effects of spectral, spatial, and radiometric characteristics on remote sensing vegetation indices of forested regions. Remote Sensing of Environment, Vol. 61, pp. 139-149. doi: 10.1016/S0034-4257(96)00248-9.
36. van den Hurk, B.J.J.M., Viterbo, P, and Los, S.O. 2003. Impact of leaf area index seasonality on the annual land surface evaporation in a global circulation model. Journal of Geophysics Research, Vol. 108, No. D6, pp. 4191-4203. doi: 10.1029/2002JD002846.
37. White, J.D., Running, S.W, Nemani, R., Keane, R.E., and Ryan, K.C. 1997. Measurement and remote sensing of LAI in Rocky Mountain montane ecosystems. Canadian Journal of Forest Research, Vol. 27, pp. 1714-1727. doi: 10.1139/x97-142.
38. White, R., Murray, S., and Rohweder, M. 2000. Pilot analysis of global ecosystems - Grassland ecosystems. World Resources Institute Washington, DC. Available at http://www.wri.org/wr2000.
39. Xu, L., and Baldocchi, D.D. 2004. Seasonal variation in carbon dioxide exchange over a Mediterranean annual grassland in California. Agricultural and Forest Meteorology, Vol. 1232, pp. 79-96. doi: 10.1016/j.agrformet.2003.10.004.
40. Yilmaz, O., and Doherty, S.M. (Editors). 1987. Seismic data processing. Investigations in Geophysics, Vol. 2. Society of Exploration Geophysicists, Tulsa, Okla. 536 pp