Uncertainties in fPAR estimation of grass canopies under different stress situations and differences in architecture

References

• Asrar , G. , Kanemasu , E.T. , Jackson , R.D. and Pinter , P.J. 1985 . Estimation of total above-ground phytomass production using remotely sensed data . Remote Sensing of Environment , 17 : 211 – 220 .
   Web of Science ®Google Scholar
• Awaya , Y. , Kodani , E. , Tanaka , K. , Liu , I. , Zhuang , D. and Meng , Y. 2004 . Estimation of the global net primary productivity using NOAA images and meteorological data: changes between 1988 and 1993 . International Journal of Remote Sensing , 25 : 1597 – 1613 .
   Web of Science ®Google Scholar
• Cho , M.A. and Skidmore , A.K. 2006 . A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method . Remote Sensing of Environment , 101 : 181 – 193 .
   Web of Science ®Google Scholar
• Choudhury , B.J. 1987 . Relationships between vegetation indices, radiation absorption and net photosynthesis evaluated by sensitivity analysis . Remote Sensing of Environment , 22 : 209 – 233 .
   Web of Science ®Google Scholar
• Collino , D.J. , Dardanelli , J.L. , Sereno , R. and Racca , R.W. 2001 . Physiological responses of Argentine peanut varieties to water stress. Light interception, light use efficiency and partitioning of assimilates . Field Crops Research , 70 : 177 – 184 .
   Web of Science ®Google Scholar
• Colwell , J.E. 1974 . Vegetation canopy reflectance . Remote Sensing of Environment , 3 : 175 – 183 .
   Google Scholar
• Daughtry , C.S.T. , Gallo , K.P. and Bauer , M.E. 1983 . Spectral estimates of solar radiation intercepted by corn canopies . Agronomy Journal , 75 : 527 – 531 .
   Web of Science ®Google Scholar
• Dawson , T.P. and Curran , P.J. 1998 . A new technique for interpolating red edge position . International Journal of Remote Sensing , 19 : 2133 – 2139 .
   Web of Science ®Google Scholar
• Di Bella , C. , Rebella , C. and Paruelo , J. 2000 . Evapotranspiration estimates using NOAA AVHRR imagery in the Pampa Region . International Journal of Remote Sensing , 21 : 791 – 797 .
   Web of Science ®Google Scholar
• Di Bella , C. , Paruelo , J. , Becerra , J. , Bacour , C. and Baret , F. 2004 . Effect of senescent leaves on NDVI-based estimates of fPAR: experimental and modelling evidences . International Journal of Remote Sensing , 25 : 5415 – 5427 .
   Web of Science ®Google Scholar
• Evans , J.R. and Edwards , E.J. 2001 . Nutrient uptake and use in plant growth . Net Ecosystem Exchange CRC Workshop Proceedings , : 75 – 81 .
   Google Scholar
• Fensholt , R. , Sandholt , I. and Schultz Rasmussen , M. 2004 . Evaluation of MODIS LAI, fPAR and the relation between fPAR and NDVI in a semi-arid environment using in situ measurements . Remote Sensing of Environment , 91 : 490 – 507 .
   Web of Science ®Google Scholar
• Gamon , J.A. , Field , C.B. , Goulden , M.L. , Griffin , K.L. , Hartley , A.E. , Joel , G. and Valentini , R. 1995 . Relationships between NDVI, canopy structure and photosynthesis in three Californian vegetation types . Ecological Applications , 5 : 28 – 41 .
   Web of Science ®Google Scholar
• Gitelson , A. , Kaufman , Y. and Merzlyak , M. 1996 . Use of a Green channel in remote sensing of global vegetation from EOS-MODIS . Remote Sensing of Environment , 58 : 289 – 298 .
   Web of Science ®Google Scholar
• Gitelson , A. and Merzlyak , M. 1998 . Remote estimation of chlorophyll content in higher plant leaves . International Journal of Remote Sensing , 18 : 291 – 298 .
   Web of Science ®Google Scholar
• Gitelson , A.A. , Kaufman , Y.J. , Stark , R. and Rundquist , D. 2002 . Novel algorithms for remote estimation of vegetation fraction . Remote Sensing of Environment , 80 : 76 – 87 .
   Web of Science ®Google Scholar
• Goel , N.S. and Qin , W. 1996 . From leaf to scene: scaling problems in remote sensing of vegetation. Geoscience and Remote Sensing Symposium. IGARSS '96 . Remote Sensing for a Sustainable Future International , 1 : 526 – 528 .
   Google Scholar
• Goward , S.N. and Huemmrich , K.F. 1992 . Vegetation canopy PAR absorbance and the Normalize Difference Vegetation Index: An assessment using the SAIL model . Remote Sensing of Environment , 39 : 119 – 140 .
   Web of Science ®Google Scholar
• Guyot , G. and Baret , F. Utilisation de la haute resolution spectral pour suivre l ´etat des couverts vegetaux . Proceedings of 4th International Symposium on Spectral Signatures of Objects in Remote Sensing . Vol. SP-287 , pp. 279 – 286 . European Space Agency, Noordwijk, ESA .
   Google Scholar
• Huete , A.R. 1988 . A soil-adjusted vegetation index (SAVI) . Remote Sensing of Environment , 25 : 295 – 309 .
   Web of Science ®Google Scholar
• Huete, A., Justice, C. and Van Leeuwen, W., 1999, MODIS vegetation index (MOD13). Algorithm Theoretical Basis Document (ATBD) http://modis.gsfc.nasa.gov/data/atbd/atbd_mod13.pdf (http://modis.gsfc.nasa.gov/data/atbd/atbd_mod13.pdf)
   Google Scholar
• Jackson , R.D. and Ezra , C.E. 1985 . Spectral response of cotton to suddenly induced water stress . International Journal of Remote Sensing , 6 : 177 – 185 .
   Web of Science ®Google Scholar
• Joel , G. , Gamon , J.A. and Field , C.B. 1997 . Production efficiency in sunflower: the role of water and nitrogen stress . Remote Sensing of Environment , 62 : 176 – 188 .
   Web of Science ®Google Scholar
• Kerr , J.T. and Ostrovsky , M. 2003 . From space to species: ecological applications for remote sensing . Trends in Ecology and Evolution , 18 : 299 – 305 .
   Web of Science ®Google Scholar
• Landsberg , J.J. 1986 . Physiological Ecology of Forest Production , 198 London : Academic Press .
   Google Scholar
• Leamer , R.W. , Noriega , J.R. and Wiegand , C.L. 1978 . Seasonal changes in reflectance of two wheat cultivars . Agronomical Journal , 70 : 113 – 118 .
   Web of Science ®Google Scholar
• Monteith , J. 1972 . Solar radiation and productivity in tropical ecosystems . Journal of Applied Ecology , 9 : 747 – 66 .
   Web of Science ®Google Scholar
• Monteith , J.L. 1977 . Climate and efficiency of crop production in Britain . Philosophical Transactions of the Royal Society of London, Series B , 281 : 277 – 294 .
   Web of Science ®Google Scholar
• Myneni , R.B. and Williams , D.L. 1994 . On the relationship between FPAR and NDVI . Remote Sensing of Environment , 49 : 200 – 211 .
   Web of Science ®Google Scholar
• Nagendra , H. 2001 . Using remote sensing to assess biodiversity . International Journal of Remote Sensing , 22 : 2377 – 2400 .
   Web of Science ®Google Scholar
• Oesterheld , M. , Di Bella , C. and Kerdiles , H. 1998 . Relation between NOAAA/VHRR satellite data and stocking rate of rangelands . Ecological Applications , 8 : 207 – 212 .
   Web of Science ®Google Scholar
• Olofsson , P. and Eklundh , L. 2007 . Estimation of absorbed PAR across Scandinavia from satellite measurements. Part II: Modeling and evaluating the fractional absorption . Remote Sensing of Environment , 110 : 240 – 251 .
   Web of Science ®Google Scholar
• Oppelt , N. and Mauser , W. 2004 . Hyperspectral monitoring of physiological parameters of wheat during a vegetation period using AVIS data . International Journal of Remote Sensing , 25 : 145 – 156 .
   Web of Science ®Google Scholar
• Paruelo , J.M. , Epstein , H.E. , Laurenroth , W.K. and Burke , I.C. 1997 . ANPP estimates from NDVI for the central grassland region of the United States . Ecology , 78 : 3953 – 3958 .
   Web of Science ®Google Scholar
• Paruelo , J.M. , Lauenroth , W.K. , Burke , I.C. and Sala , O.E. 1999 . Grassland precipitation-use efficiency varies across a resource gradient . Ecosystems , 2 : 64 – 68 .
   Web of Science ®Google Scholar
• Posse , G. and Cingolani , A.M. 2000 . Environmental controls on NDVI and sheep production in the Tierra del Fuego steppe of Argentina . Applied Vegetation Science , 3 : 253 – 260 .
   Web of Science ®Google Scholar
• Quattrochi , D.A. and Pelletier , R. 1991 . “ Remote sensing for analysis of landscapes: an introduction ” . In In Quantitative Methods in Landscape Ecology , Edited by: Turner , M.G. and Gardner , R.H. 51 – 76 . New York : Springer .
   Google Scholar
• R 2.4.1 Development Core Team, 2006, R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria http://www.R-project.org (http://www.R-project.org) (Accessed: 10 December 2006 ).
   Google Scholar
• Rondeaux , G. , Steven , M. and Baret , F. 1996 . Optimization of soil-adjusted vegetation indices . Remote Sensing of Environment , 55 : 95 – 107 .
   Web of Science ®Google Scholar
• Rouse , J.W. , Haas , R.H. , Schell , J.A. , Deering , D.W. and Harlan , J.C. 1974 . “ Monitoring the vernal advancement of retrogradation of natural vegetation ” . In NASA/GSFC Type III Final report 371 Maryland
   Google Scholar
• Ruimy , A. , Saugier , B. and Dedieu , G. 1994 . Methodology for the estimation of terrestrial net primary production from remote sensed data . Journal of Geophysical Research , 99 : 5263 – 5283 .
   Web of Science ®Google Scholar
• Scholander , P.F. , Hammel , H.T. , Bradstreeet , E.D. and Hemmingsen , E.A. 1965 . Sap pressure in vascular plants . Science , 48 : 339 – 346 .
   Web of Science ®Google Scholar
• Sellers , P.J. 1985 . Canopy reflectance, photosynthesis and transpiration . International Journal of Remote Sensing , 6 : 1335 – 1372 .
   Web of Science ®Google Scholar
• Serrano , L. , Filella , I. and Peñuelas , J. 2000 . Remote sensing of biomass and yield of winter wheat under different nitrogen supplies . Crop Science , 40 : 723 – 731 .
   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
• Tucker , C.J. and Sellers , P.J. 1986 . Satellite remote sensing of primary production . International Journal of Remote Sensing , 7 : 1395 – 1416 .
   Web of Science ®Google Scholar
• Turner , D.P. , Gower , S.T. , Cohen , W.B. , Gregory , M. and Maiesperger , T.K. 2002 . Effect of spatial variability in light use efficiency on satellite-based NPP monitoring . Remote Sensing of Environment , 80 : 397 – 405 .
   Web of Science ®Google Scholar
• Vaesen , K. , Gilliams , S. , Nackaerts , K. and Coppin , P. 2001 . Ground-measured spectral signatures as indicators of ground cover and leaf area index: the case of paddy rice . Field Crops Research , 69 : 13 – 25 .
   Web of Science ®Google Scholar
• Viña , A. and Gitelson , A.A. 2005 . New developments in the remote estimation of the fraction of absorbed photosynthetically active radiation in crops . Geophysical Research Letters , 32 : L17403
   Web of Science ®Google Scholar
• Weber , D.C. and Skillings , J.H. 2000 . A First Course in the Design of Experiments , Boca Raton , FL : CRC Press .
   Google Scholar
• Wylie , B.K. , Mannel , S. , Meyer , D.J. and Tieszen , L.L. 2002 . Satellite mapping of surface biophysical parameters at the biome scale over North American grasslands. A case study . Remote Sensing of Environment , 79 : 266 – 278 .
   Web of Science ®Google Scholar
• Xavier , A.C. and Vettorazzi , C.A. 2004 . Mapping leaf area index through spectral vegetation indices in a subtropical watershed . International Journal of Remote Sensing , 25 : 1661 – 1672 .
   Web of Science ®Google Scholar