Using multiple radiometric correction images to estimate leaf area index

References

• Abdou , W.A. , Pilorz , S.H. , Helmlinger , M.C. , Conel , J.E. , Diner , D.J. , Bruegge , C.J. , Martonchik , J.V. , Gatebe , C.K. , King , M.D. and Hobbs , P.V. 2006 . Sua Pan surface bidirectional reflectance: a case study to evaluate the effect of atmospheric correction on the surface products of the Multi-angle Imaging SpectroRadiometer (MISR) during SAFARI 2000 . IEEE Transactions on Geoscience and Remote Sensing , 44 : 1699 – 1706 .
   Web of Science ®Google Scholar
• AccuPAR LP-80 . 2003 . Operator's Manual of AccuPAR model LP-80 PAR/LAI Ceptometer , USA : Decagon Devices, Inc., 2365 NE Hopkins Court Pullman . WA 99163
   Google Scholar
• Chen , J.M. and Black , T.A. 1992 . Defining leaf area index for non-flat leaves . Plant Cell and Environment , 15 : 421 – 429 .
   Web of Science ®Google Scholar
• Cohen , W.B. , Maiersperger , T.K. , Gower , S.T. and Turner , D.P. 2003 . An improved strategy for regression of biophysical variables and Landsat ETM+ data . Remote Sensing of Environment , 84 : 561 – 571 .
   Web of Science ®Google Scholar
• Duan , A.W. 1996 . Measuring leaf area index of crop colony . Irrigation and Drainage , 15 : 50 – 53 .
   Google Scholar
• Fang , H.L. , Liang , S.L. and Kuusk , A. 2003 . Retrieving leaf area index using genetic algorithm with a canopy radiative transfer mode1 . Remote Sensing of Environment , 85 : 257 – 270 .
   Web of Science ®Google Scholar
• Gower , S.T. , Kucharik , C.J. and Norman , J.M. 1999 . Direct and indirect estimation of leaf area index, fAPAR and net production of terrestrial ecosystem . Remote Sensing of Environment , 70 : 29 – 51 .
   Web of Science ®Google Scholar
• Green , E.P. , Mumby , P.J. , Edwards , A.J. , Clark , C.D. and Ellis , A.C. 1997 . Estimating leaf area index of mangroves from satellite data . Aquatic Botany , 58 : 11 – 19 .
   Web of Science ®Google Scholar
• Gu , Z.J. , Zeng , Z.Y. , Shi , X.Z. , Li , L. , Yu , D.S. , Zheng , W. , Zhang , Z.L. and Hu , Z.F. 2009 . Assessing factors influencing vegetation coverage calculation with remote sensing imagery . International Journal of Remote Sensing , 30 : 2479 – 2489 .
   Web of Science ®Google Scholar
• Jin , Z. , Tian , Q. , Chen , J.M. and Chen , M. 2007 . Spatial scaling between leaf area index maps of different resolutions . Journal of Environmental Management , 85 : 628 – 637 .
   PubMed Web of Science ®Google Scholar
• Jordan , C.F. 1969 . Derivation of leaf area index from quality of light on the forest floor . Ecology , 50 : 663 – 666 .
   Web of Science ®Google Scholar
• Liang , S.L. , Fang , H.L. , Morisette , J.T. , Chen , M.Z. , Shuey , C.J. , Walthall , C.L. and Daughtry , C.S.T. 2002 . Atmospheric correction of Landsat ETM+ land surface imagery. II. Validation and applications . IEEE Transactions on Geoscience and Remote Sensing , 40 : 2736 – 2746 .
   Web of Science ®Google Scholar
• Liu , R. , Chen , J.M. , Liu , J. , Deng , F. and Sun , R. 2007 . Application of a new leaf area index algorithm to China's landmass using MODIS data for carbon cycle research . Journal of Environmental Management , 85 : 649 – 658 .
   PubMed Web of Science ®Google Scholar
• Menzies , J. , Jensen , R.R. , Brondizio , E. , Moran , E. and Mausel , P. 2007 . The accuracy of neural network and regression leaf area estimators in the Amazon Basin . GIScience and Remote Sensing , 44 : 82 – 92 .
   Web of Science ®Google Scholar
• Qi , J. , Marsett , R.C. , Moranb , M.S. , Goodrich , D.C. , Heilman , P. , Kerr , Y.H. , Dedieu , G. , Chehbouni , A. and Zhang , X.X. 2000 . Spatial and temporal dynamics of vegetation in the San Pedro River basin area . Agricultural and Forest Meteorology , 105 : 55 – 68 .
   Web of Science ®Google Scholar
• Ringrose , S. , Matheson , W. , Wolski , P. and Huntsman-Mapila , P. 2003 . Vegetation cover trends along the Botswana Kalahari transect . Journal of Arid Environments , 54 : 297 – 317 .
   Web of Science ®Google Scholar
• Robinson , A.P. , Duursma , R.A. and Marshall , J.D. 2005 . A regression-based equivalence test for model validation: shifting the burden of proof . Tree Physiology , 25 : 903 – 913 .
   PubMed Web of Science ®Google Scholar
• Rouse , J.W. and Haas , R.H. 1973 . “ Monitoring vegetation systems in the great plains with ERTS ” . In Third ERTS Symposium , Vol. 1 , 309 – 317 . Washington , DC : NASA .
   Google Scholar
• Running , S. , Baldocchi , D. , Turner , D. , Gower , S. , Bakwin , P. and Hibbard , K. 1999 . A global terrestrial monitoring network integrating tower fluxes, flask sampling, ecosystem modeling and EOS data . Remote Sensing of Environment , 70 : 108 – 127 .
   Web of Science ®Google Scholar
• Sellers , P.J. , Randall , D.A. , Collatz , G.J. , Berry , J.A. , Field , C.B. , Dazlich , D.A. , Zhan , C. , Collelo , G. and Bounoua , L. 1996 . A revised land surface parameterization (SiB2) for atmospheric GCMs, part I: model formulation . Journal of Climate , 9 : 676 – 705 .
   Web of Science ®Google Scholar
• Song , C. , Woodcock , C.E. , Seto , K.C. , Lenney , P. and Macomber , S.A. 2001 . Classification and change detection using Landsat TM data: when and how to correct atmospheric effects? . Remote Sensing of Environment , 75 : 230 – 244 .
   Web of Science ®Google Scholar
• Soudani , K. , Francois , C. , Le Maire , G. , Le Dantec , V. and Dufrene , E. 2006 . Comparative analysis of IKONOS, SPOT, and ETM+ data for leaf area index estimation in temperate coniferous and deciduous forest stands . Remote Sensing of Environment , 102 : 161 – 175 .
   Web of Science ®Google Scholar
• Wu , C.Y. , Niu , Z. , Tang , Q. and Huang , W.J. 2008 . Estimating chlorophyll content from hyperspectral vegetation indices: modeling and validation . Agriculture and Forest Meteorology , 148 : 1230 – 1241 .
   Web of Science ®Google Scholar
• Zeng , Z.Y. 2004 . Research on Computer Classification of Satellite Images and Application in Geosciences , Beijing : Science Press . in Chinese
   Google Scholar
• Zeng , Z.Y. 2007 . A new method of data transformation for satellite images: II. Transformation equations for SPOT, NOAA, IKONOS, QuickBird, ASTER, MSS and other images and application . International Journal of Remote Sensing , 28 : 4125 – 4155 .
   Web of Science ®Google Scholar