An exploratory analysis of spectral indices to estimate vegetation water content using sensitivity function

References

• Ceccato , P. , Flasse , S. , Tarantola , S. , Jacquemoud , S. and Grégoire , J.M. 2001 . Detecting vegetation leaf water content using reflectance in the optical domain . Remote Sensing of Environment , 77 : 22 – 33 .
   Web of Science ®Google Scholar
• Chen , D. , Huang , J. and Jackson , T.J. 2005 . Vegetation water content estimation for corn and soybeans using spectral indices derived from MODIS near- and short-wave infrared bands . Remote Sensing of Environment , 98 : 225 – 236 .
   Web of Science ®Google Scholar
• Cheng , Y.B. , Zarco-Tejada , P.J. , Riaño , D. , Ruedaa , C.A. and Ustin , S.L. 2006 . Estimating vegetation water content with hyperspectral data for different canopy scenarios: relationships between AVIRIS and MODIS indexes . Remote Sensing of Environment , 105 : 354 – 366 .
   Web of Science ®Google Scholar
• Chuvieco , E. , Cocero , D. , Riaño , D. , Martin , P. , Martínez-Vega , J. , Riva , J. and Pérez , F. 2004 . Combining NDVI and surface temperature for the estimation of live fuel moisture content in forest fire danger rating . Remote Sensing of Environment , 92 : 322 – 331 .
   Web of Science ®Google Scholar
• Danson , F.M. and Bowyer , P. 2004 . Estimating live fuel moisture content from remotely sensed reflectance . Remote Sensing of Environment , 92 : 309 – 321 .
   Web of Science ®Google Scholar
• Danson , F.M. , Steven , M.D. , Malthus , T.J. and Clark , J.A. 1992 . High-spectral resolution data for determining leaf water content . International Journal of Remote Sensing , 13 : 461 – 470 .
   Web of Science ®Google Scholar
• Fensholt , R. and Sandholt , I. 2003 . Derivation of a shortwave infrared water stress index from MODIS near- and shortwave infrared data in a semiarid environment . Remote Sensing of Environment , 87 : 111 – 121 .
   Web of Science ®Google Scholar
• Gao , B.C. 1996 . NDWI – a normalized difference water index for remote sensing of vegetation liquid water from space . Remote Sensing of Environment , 58 : 257 – 266 .
   Web of Science ®Google Scholar
• Hosgood , B. , Jacquemoud , S. , Andreoli , G. , Verdebout , J. , Pedrini , A. and Schmuck , G. Leaf Optical Properties EXperiment 93 (LOPEX93) . Report EUR 16095 EN, Luxembourg . 1994 .
   Google Scholar
• 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 .
   Web of Science ®Google Scholar
• Hunt Jr , E.R. and Rock , B.N. 1989 . Detection of changes in leaf water content using near- and middle-infrared reflectances . Remote Sensing of Environment , 30 : 43 – 54 .
   Web of Science ®Google Scholar
• Ji , L. and Peters , A.J. 2007 . Performance evaluation of spectral vegetation indices using a statistical sensitivity function . Remote Sensing of Environment , 106 : 59 – 65 .
   Web of Science ®Google Scholar
• Li , L. , Cheng , Y.B. , Ustin , S.L , Hu , X.T. and Riañob , D. 2008 . Retrieval of vegetation equivalent water thickness from reflectance using genetic algorithm (GA)-partial least squares (PLS) regression . Advances in Space Research , 41 : 1755 – 1763 .
   Web of Science ®Google Scholar
• Maki , M. , Ishiahra , M. and Tamura , M. 2004 . Estimation of leaf water status to monitor the risk of forest fires by using remotely sensed data . Remote Sensing of Environment , 90 : 441 – 450 .
   Web of Science ®Google Scholar
• Peñuelas , J. , Pinol , J. , Ogaya , R. and Filella , I. 1997 . Estimation of plant water concentration by the reflectance Water Index WI (R900/R970) . International Journal of Remote Sensing , 18 : 2869 – 2875 .
   Web of Science ®Google Scholar
• Pyne , S.J. , Andrews , P.L. and Laven , R.D. 1996 . Introduction to Wildland Fire , New York : John Wiley .
   Google Scholar
• Riaño , D. , Vaughan , P. , Chuvieco , E. , Zarco-Tejada , P.J. and Ustin , S.L. 2005 . Estimation of fuel moisture content by inversion of radiative transfer models to simulate equivalent water thickness and dry matter content: analysis at leaf and canopy level . IEEE Transactions on Geoscience and Remote Sensing , 43 : 819 – 826 .
   Web of Science ®Google Scholar
• Serrano , L. , Ustin , S.L. , Roberts , D.A. , Gamon , J.A. and Peñuelas , J. 2000 . Deriving water content of chaparral vegetation from AVIRIS data . Remote Sensing of Environment , 74 : 570 – 581 .
   Web of Science ®Google Scholar
• Tucker , C.J. 1980 . Remote sensing of leaf water content in the near infrared . Remote Sensing of Environment , 10 : 23 – 32 .
   Web of Science ®Google Scholar
• Wu , J.J. , Zhang , J. , Zhou , L. and Nie , J.L . Performance evaluation of spectral indices to estimate equivalent water thickness . International Geoscience and Remote Sensing Symposium . July 25–30 , Honolulu , HI .
   Google Scholar
• Yilmaz , M.T. , Hunt Jr , E.R. and Jackson , T.J. 2008 . Remote sensing of vegetation water content from equivalent water thickness using satellite imagery . Remote Sensing of Environment , 112 : 2514 – 2522 .
   Web of Science ®Google Scholar