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Original Articles

A new vegetation index based on the universal pattern decomposition method

, , , , &
Pages 107-124 | Received 06 Jun 2005, Accepted 11 Oct 2005, Published online: 27 Jul 2010

References

  • Adams , J. B. , Sabol , D. E. , Kapos , V. , Filho , R. A. , Roberts , D. A. , Smith , M. O. and Gillespie , A. R. 1995 . Classification of multispectral images based on fractions of endmembers: Application to land‐cover change in the Brazilian Amazon. . Remote Sensing of Environment , 52 : 137 – 154 .
  • Baret , F. and Guyot , G. 1991 . Potentials and limits of vegetation indices for LAI and APAR assessment. . Remote Sensing of Environment , 35 : 161 – 173 .
  • Blackburn , G. A. 1998 . Quantifying chlorophylls and caroteniods at leaf and canopy scales: An evaluation of some hyperspectral approaches. . Remote Sensing of Environment , 66 : 273 – 285 .
  • Carter , G. A. 1991 . Primary and secondary effects of water content of the spectral reflectance of leaf. . American Journal of Botany , 78 : 916 – 924 .
  • Daigo , M. , Ono , A. , Fujiwara , N. and Urabe , R. 2004 . Pattern decomposition method for hyper‐multi‐spectral data analysis. . International Journal of Remote Sensing , 25 : 1153 – 1166 .
  • Elvidge , C. D. and Lyon , R. J. P. 1985 . Influence of rock‐soil spectral variation on the assessment of green biomass. . Remote Sensing of Environment , 17 : 265 – 269 .
  • Fujiwara , N. , Muramatsu , K. , Awa , S. , Hazumi , A. and Ochiai , F. 1996 . Pattern expansion method for satellite data analysis (in Japanese). . Journal of Remote Sensing Society of Japan , 17 : 17 – 37 .
  • Furumi , S. , Hayashi , A. , Murumatsu , K. and Fujiwara , N. 1998 . Relation between vegetation vigor and new vegetation index based on pattern decomposition method. . Journal of Remote Sensing Society of Japan , 18 : 17 – 34 .
  • Furumi , S. , Xiong , Y. and Fujiwara , N. 2005 . Establishment of an algorithm to estimate canopy photosynthesis by pattern decomposition using multi‐spectral data. . Journal of Remote Sensing Society of Japan , 25 : 47 – 59 .
  • Gallo , K. P. and Daughtry , C. S. T. 1987 . Differences in vegetation indices for simulated landsat‐5 MSS and TM, NOAA‐9 AVHRR and SPOT‐1 sensor systems. . Remote Sensing of Environment , 23 : 439 – 452 .
  • Gong , P. , Pu , R. , Biging , G. S. and Larrieu , M. R. 2003 . Estimation of forest leaf area index using vegetation indices derived from hyperion hyperspectral data. . IEEE Transaction on Geoscience and Remote Sensing , 41 : 1355 – 1363 .
  • Gonzalez‐Alonso , F. , Cuevas , J. M. , Casanova , J. L. , Caille , A. and Illera , P. 1997 . A Forest fire risk assessment using NOAA‐AVHRR images in the Valencia area, eastern Spain. . International Journal of Remote Sensing , 18 : 2201 – 2207 .
  • Goward , S. , Xue , Y. and Czajkowski , K. P. 2002 . Evaluating land surface moisture conditions from the remotely sensed temperature/vegetation index measurements. An exploration with the simplified simple biosphere model. . Remote Sensing of Environment , 79 : 225 – 242 .
  • Goetz , S. J. 1997 . Multi‐sensor analysis of NDVI, surface temperature and biophysical variables at a mixed grassland site. . International Journal of Remote Sensing , 18 : 71 – 94 .
  • Hayashi , A. , Muramatsu , K. , Furumi , S. , Shiono , Y. , Fujiwara , N. and Daigo , M. 1998 . An algorithm and a new vegetation index for ADEOS‐II/GLI data analysis. . Journal of Remote Sensing Society of Japan , 18 : 28 – 50 .
  • Huete , A. R. 1988 . A soil adjusted vegetation index (SAVI). . Remote Sensing of Environment , 25 : 295 – 309 .
  • 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 , 83 : 195 – 213 .
  • Huete , A. , Justice , C. and Liu , H. 1994 . Development of vegetation and soil indices for MODIS‐EOS. . Remote Sensing of Environment , 49 : 224 – 234 .
  • Huete , A. , Liu , H. Q. , Batchily , K. and van Leeuwen , W. J. D. 1997 . A comparison of vegetation indices over a global set of TM images for EOS‐MODIS. . Remote Sensing of Environment , 59 : 440 – 451 .
  • Jordan , C. F. 1969 . Derivation of leaf area index from quality of light on the forest floor. . Ecology , 50 : 663 – 666 .
  • Kelly , G. J. and Lalzko , E. 1995 . Photosynthesis , Berlin : Springer Verlag .
  • Muramatsu , K. , Furumi , S. , Fujiwara , N. , Hayashi , A. , Daigo , M. and Ochiai , F. 2000 . Pattern decomposition method in the albedo space for Landsat TM and MSS data analysis. . International Journal of Remote Sensing , 21 : 99 – 119 .
  • Nemani , R. , Pierce , L. , Running , S. and Band , L. 1993 . Forest ecosystem processes at the watershed scale: Sensitivity to remotely‐sensed leaf area index estimates. . International Journal of Remote Sensing , 14 : 2519 – 2534 .
  • Richardson , A. J. and Wiegand , C. L. 1977 . Distinguishing vegetation from soil background information. . Photogrammetric Engineering and Remote Sensing , 43 : 541 – 1552 .
  • Sannier , C. A. D. , Taylor , J. C. and Du Plessis , W. 2002 . Real‐time monitoring of vegetation biomass with NOAA‐AVHRR in Etosha National Park, Namibia, for fire risk assessment. . International Journal of Remote Sensing , 23 : 71 – 89 .
  • Strachan , I. B. , Pattey , E. and Boisvert , J. B. 2002 . Impact of nitrogen and environmental conditions on corn as detected by hyperspectral reflectance. . Remote Sensing of Environment , 80 : 213 – 224 .
  • 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 : 412 – 422 .
  • Taiz , L. and Zeiger , E. 1998 . Plant Physioloy , Sunderland : Sinauer Assocoates . 2nd edition
  • Teillet , P. M. , 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 , 61 : 139 – 149 .
  • Tucker , C. and Compton , J. 1979 . Red and photographic infrared linear combinations for monitoring vegetation. . Remote Sensing of Environment , 8 : 127 – 150 .
  • Zhang L, Mitsushita Y, Furumi S, Muramatsu K, Fujiwara N, Daigo M, Zhang L. 2003. Universality of modified pattern decomposition method for satellite sensors. In. Asia GIS Conference. Wuhan, 8–11 October 2003. Available online at: www.hku.hk/cupem/asiagis/publications.htm (accessed 8 April 2005)
  • Zhang , L. , Furumi , S. , Murumatsu , K. , Fujiwara , N. , Daigo , M. and Zhang , L. 2006 . Sensor‐independent analysis method for hyperspectral data based on the pattern decomposition method. . International Journal of Remote Sensing , 27 : 4899 – 4910 . In production
  • Zhang , L. , Zhang , L. , Fujiwara , N. and Murumatsu , K. 2005 . The universal pattern decomposition method based on the hyperspectral satellite remotely revised date (in Chinese) . Journal of Geomatics and Information Science of Wuhan University, China , 30 : 264 – 268 .

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