Retrieval of chlorophyll content and LAI of crops using hyperspectral techniques: application to PROBA/CHRIS data

References

• Alonso , L. and Moreno , J. Advances and limitations in a parametric geometric correction of CHRIS/PROBA data. Proceedings of the 3rd CHRIS/PROBA Workshop , ESA/ESRIN, Frascati, Italy. Available online at: http://earth.esa.int/ workshops/chris_proba_05/papers/06_alonso.pdfhttp://earth.esa.int/ workshops/chris_proba_05/papers/06_alonso.pdf.
   Google Scholar
• Bacour , C. , Baret , F. , Béal , D. , Weiss , M. and Pavagenau , K. 2006 . Neural network estimation of LAI, fAPAR, fCover and LAI×Cab, from top of canopy MERIS reflectance data: principles and validation. . Remote Sensing of Environment , 105 : 313 – 325 .
   Web of Science ®Google Scholar
• Baret , F. and Guyot , G. 1991 . Potentials and limits of vegetation indices for LAI and APAR assessment. . Remote Sensing of Environment , 35 : 161 – 173 .
   Web of Science ®Google Scholar
• Baret , F. , Champion , I. , Guyot , G. and Podaire , A. 1987 . Monitoring wheat canopies with a high spectral resolution radiometer. . Remote Sensing of Environment , 22 : 367 – 378 .
   Web of Science ®Google Scholar
• Baret , F. , Jacquemoud , S. , Guyot , G. and Leprieur , C. 1992 . Modelled analysis of the biophysical nature of spectral shifts and comparison with information content of broad bands. . Remote Sensing of Environment , 41 : 133 – 142 .
   Web of Science ®Google Scholar
• Baret , F. , Houles , V. and Guerif , M. 2007 . Quantification of plant stress using remote sensing observations and crop models: the case of nitrogen management. . Journal of Experimental Botany , 58 : 869 – 880 .
   PubMed Web of Science ®Google Scholar
• Barnsley , M. J. , Settle , J. J. , Cutter , M. A. , Lobb , D. R. and Teston , F. 2004 . The PROBA/CHRIS Mission. A low‐cost smallsat for hyperspectral multiangle observations of the Earth surface and atmosphere. . IEEE Transactions on Geoscience and Remote Sensing , 42 : 1512 – 1520 .
   Web of Science ®Google Scholar
• Beadle , C. L. 1993 . “ Growth analysis. ” . In Photosynthesis and Production in a Changing Environment: A field and laboratory manual , 36 – 46 . London : Chapman & Hall .
   Google Scholar
• Carlson , T. N. and Ripley , D. A. 1997 . On the relation between NDVI, fractional vegetation cover, and leaf area index. . Remote Sensing of Environment , 62 : 241 – 252 .
   Web of Science ®Google Scholar
• Chaurasia , S. and Dadhwal , V. K. 2004 . Comparison of principal component inversion with VI‐empirical approach for LAI estimation using simulated reflectance data. . International Journal of Remote Sensing , 25 : 2881 – 2887 .
   Web of Science ®Google Scholar
• Clevers , J. G. P. W. 1994 . “ Imaging spectrometry in agriculture—plant vitality and yield indicators. ” . In Imaging Spectrometry—A Tool for Environmental Observations , Edited by: Hill , J and Mégier , J . 193 – 219 . Dordrecht : Kluwer Academic .
   Google Scholar
• Clevers , J. G. P. W. , De Jong , S. M. , Epema , G. F. , Van der Meer , F. D. , Bakker , W. H. , Skidmore , A. K. and Scholte , K. H. 2002 . Derivation of the red edge index using the MERIS standard band setting. . International Journal Remote Sensing , 23 : 3169 – 3184 .
   Web of Science ®Google Scholar
• Collins , W. 1978 . Remote sensing of crop type and maturity. . Photogrammetric Engineering and Remote Sensing , 26 : 43 – 55 .
   Google Scholar
• Curran , P. , Dugan , J. , Macler , B. and Plummer , S. 1991 . The effect of a red leaf pigment on the relationship between red edge and chlorophyll concentration. . Remote Sensing of Environment , 35 : 69 – 76 .
   Web of Science ®Google Scholar
• Curran , P. J. , Windham , W. R. and Gholz , H. L. 1995 . Exploring the relationship between reflectance red edge and chlorophyll concentration in slash pine leaves. . Tree Physiology , 15 : 203 – 206 .
   PubMed Web of Science ®Google Scholar
• Curran , P. J. , Kupiec , J. A. and Smith , G. M. 1997 . Remote sensing the biochemical composition of a slash pine canopy. . IEEE Transactions on Geoscience and Remote Sensing , 35 : 415 – 420 .
   Web of Science ®Google Scholar
• Curran , P. J. , Dash , J. and Llewellyn , G. M. 2007 . Indian Ocean tsunami: the use of MERIS (MTVI) data to infer salt stress in coastal vegetation. . International Journal of Remote Sensing , 28 : 729 – 735 .
   Web of Science ®Google Scholar
• Dash , J. and Curran , P. J. 2004 . The MERIS terrestrial chlorophyll index. . International Journal Remote Sensing , 25 : 5403 – 5413 .
   Web of Science ®Google Scholar
• Dash , J. , Mathur , A. , Foody , G. M. , Curran , P. J. , Chipman , J. W. and Lillesand , T. M. 2007 . Land cover classification using multi‐temporal MERIS vegetation indices. . International Journal Remote Sensing , 28 : 1137 – 1159 .
   Web of Science ®Google Scholar
• Daughtry , C. S. T. , Walthall , C. L. , Kim , M. S. , Brown de Colstoun , E. and McMurtrey III, , J. E. 2000 . Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance. . Remote Sensing of Environment , 74 : 229 – 239 .
   Web of Science ®Google Scholar
• Dawson , T. P. and Curran , P. J. 1998 . A new technique for interpolating the reflectance red edge position. . International Journal Remote Sensing , 19 : 2133 – 2139 .
   Web of Science ®Google Scholar
• Demetriades‐Shah , T. H. , Steven , M. D. and Clark , J. A. 1990 . High resolution derivative spectra in remote sensing. . Remote Sensing of Environment , 33 : 55 – 64 .
   Web of Science ®Google Scholar
• Elvidge , C. D. and Chen , Z. 1995 . Comparison of broad‐band and narrow‐band red and near‐infrared vegetation indices. . Remote Sensing of Environment , 54 : 38 – 48 .
   Web of Science ®Google Scholar
• Fassnacht , K. S. , Gower , S. T. , MacKenzie , M. D. , Nordheim , E. V. and Lillesand , T. M. 1997 . Estimating the leaf area index of North‐central Wisconsin forest using the Landsat Thematic Mapper. . Remote Sensing of Environment , 61 : 229 – 245 .
   Web of Science ®Google Scholar
• Fernández , G. , Moreno , J. , Gandia , S. , Martínez , B. , Vuolo , F. and Morales , F. Statistical variability of field measurements of biophysical parameters in SPARC‐2003 and SPARC‐2004 campaigns. Proceedings of the SPARC Workshop , ESA, Enschede, The Netherlands. CD‐ROM WPP‐250, ISSN 1022‐6656
   Google Scholar
• Fernández , G. , Delegido , J. , García‐Llongo , J. and Moreno , J. Implications on retrieving leaf area index by using Sentinel‐2 spectral bands. Proceedings of Final Workshop of SEN2FLEX , ESA‐Estec, The Netherlands, 31 October 2006, CD‐ROM
   Google Scholar
• Gandia , S. , Fernández , G. , García , J. C. and Moreno , J. Retrieval of vegetation biophysical variables from CHRIS/PROBA data in the SPARC campaign. Proceedings of the 2nd CHRIS/Proba Workshop, ESA/ESRIN, Frascati, Italy , Available online at: http://earth.esa.int/workshops/chris_proba_04/papers/12_Gandia.pdf
   Google Scholar
• Gandia , S. , Moreno , J. , Fernández , G. and Moreno , D. Chlorophyll measurements in SPARC campaigns. Proceedings of the SPARC Workshop , ESA, Enschede, The Netherlands. CD‐ROM WPP‐250, ISSN 1022‐6656
   Google Scholar
• Gandía , S. , Moreno , J. and Delegido , J. Retrieval of crops chlorophyll content from CASI images and SENTINEL‐2 bands simulation. Proceedings of Final Workshop of SEN2FLEX , ESA‐Estec, The Netherlands, 31 October 2006, CD‐ROM
   Google Scholar
• Gilabert , M. A. , Gandia , S. and Melia , J. 1996 . Analyses of spectral–biophysical relationships for a corn canopy. . Remote Sensing of Environment , 55 : 11 – 20 .
   Web of Science ®Google Scholar
• Gitelson , A. A. and Merzlyak , M. N. 1998 . Remote sensing of chlorophyll concentration in higher plant leaves. . Advances in Space Research , 22 : 689 – 692 .
   Web of Science ®Google Scholar
• Gitelson , A. A. , Viña , A. , Ciganda , V. , Rundquist , D. C. and Arkebauer , T. J. 2005 . Remote estimation of canopy chlorophyll content in crops Geophysical Research Letters . 32 L08403, doi:10.1029/2005GL022688
   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
• Guanter , L. , Alonso , L. and Moreno , J. 2005a . A method for the surface reflectance retrieval from PROBA/CHRIS data over land: application to ESA SPARC campaigns. . IEEE Transactions on Geoscience and Remote Sensing , 43 : 2908 – 2917 .
   Web of Science ®Google Scholar
• Guanter , L. , Alonso , L. and Moreno , J. 2005b . First results from the PROBA/CHRIS hyperspectral/multiangular satellite system over land and water targets. . IEEE Geoscience and Remote Sensing Letters , 2 : 250 – 254 .
   Web of Science ®Google Scholar
• Haboudane , D. , Miller , J. R. , Tremblay , N. , Zarco‐Tejada , P. J. and Dextraze , L. 2002 . Integral narrow‐band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture. . Remote Sensing of Environment , 81 : 416 – 426 .
   Web of Science ®Google Scholar
• Haboudane , D. , Miller , J. R. , Pattey , E. , Zarco‐Tejada , P. J. and Strachan , I. S. 2004 . Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: modeling and validation in the context of precision agriculture. . Remote Sensing of Environment , 90 : 337 – 352 .
   Web of Science ®Google Scholar
• Haykin , S. 1994 . Neural Networks a Comprehensive Foundation , Upper Saddle River, NJ : Prentice‐Hall .
   Google Scholar
• Holden , M. 1976 . “ Chlorophylls. ” . In Chemistry and Biochemistry of Plant Pigments , Edited by: Goodwin , T. W . vol 2 , 1 – 37 . London : Academic Press .
   Google Scholar
• Horler , D. N. H. , Dockray , M. and Barber , J. 1983 . The red edge of plant leaf reflectance. . International Journal of Remote Sensing , 4 : 273 – 288 .
   Web of Science ®Google Scholar
• Inskeep , W. P. and Bloom , P. R. 1984 . Extinction coefficients of chlorophyll a and b in NN‐dimethylforamide and 80% acetone. . Plant Physiology , 77 : 483 – 485 .
   Web of Science ®Google Scholar
• Jackson , R. D. and Pinter , P. J. Jr . 1986 . Spectral response of architecturally different wheat canopies. . Remote Sensing of Environment , 20 : 43 – 56 .
   Web of Science ®Google Scholar
• Jacquemoud , S. 1993 . Inversion of the PROSPECTzSAIL canopy reflectance model from AVIRIS equivalent spectra: theoretical study. . Remote Sensing of Environment , 44 : 281 – 292 .
   Web of Science ®Google Scholar
• Jacquemoud , S. , Ustin , S. L. , Verdebout , J. , Schmuck , G. , Andreoli , G. and Hosgood , B. 1996 . Estimating leaf biochemistry using the PROSPECT leaf optical properties model. . Remote Sensing of Environment , 56 : 194 – 202 .
   Web of Science ®Google Scholar
• Jensen , R. R. and Binford , M. W. 2004 . Measurements and comparison of leaf area index estimators derived from satellite remote sensing techniques. . International Journal of Remote Sensing , 20 : 4251 – 4265 .
   Web of Science ®Google Scholar
• Jiménez‐Muñoz , J. C. , Sobrino , J. A. , Guanter , L. , Moreno , J. , Plaza , A. and Martínez , P. Fractional Vegetation Cover estimation from PROBA/CHRIS data: methods, analysis of angular effects and application to the land surface emissivity retrieval. Proceedings of the 3rd CHRIS/PROBA Workshop , ESA/ESRIN, Frascati, Italy. Available online at: http://earth.esa.int/workshops/chris_proba_05/papers/26_Jime.pdf
   Google Scholar
• Kokaly , R. F. and Clark , R. N. 1999 . Spectroscopic determination of leaf biochemistry using band depth analysis of absorption features and stepwise multiple linear regression. . Remote Sensing of Environment , 67 : 267 – 287 .
   Web of Science ®Google Scholar
• Lichtenthaler , H. K. 1987 . Chlorophylls and carotenoids: pigments of photosynthetic biomembranes. . Methods in Enzymology , 148 : 350 – 382 .
   Web of Science ®Google Scholar
• Lichtenthaler , H. K. , Gitelson , A. A. and Lang , M. 1996 . Non destructive determination of chlorophyll content of leaves of a green and an aurea mutant of tobacco by reflectance measurements. . Journal of Plant Physiology , 148 : 483 – 493 .
   Web of Science ®Google Scholar
• Maire , G. , FranÇois , C. and Dufrêne , E. 2004 . Towards universal broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements. . Remote Sensing of Environment , 89 : 1 – 28 .
   Web of Science ®Google Scholar
• Martin , M. E. , Newman , S. D. , Aber , J. D. and Congalton , R. G. 1998 . Determining forest species composition using high spectral resolution remote sensing data. . Remote Sensing of Environment , 65 : 249 – 254 .
   Web of Science ®Google Scholar
• Mauser , W. and Bach , H. 1995 . “ Imaging spectroscopy in hydrology and agriculture— determination of model parameters. ” . In Imaging Spectrometry—a Tool for Environmental Observations , Edited by: Hill , J and Megier , J . 261 – 283 . Dordrecht : Kluwer Academic .
   Google Scholar
• Miller , J. R. , Hare , E. W. and Wu , J. 1990 . Quantitative characterisation of the vegetation red edge reflectance I. An inverted‐Gaussian reflectance model. . International Journal of Remote Sensing , 11 : 1755 – 1773 .
   Web of Science ®Google Scholar
• Moreno , J. , Alonso , L. , Fernández , G. , Fortea , J. C. , Gandía , S. , Guanter , L. , García , J. C. and Martí , J. M. The spectra Barrax campaign (SPARC): overview and first results from CHRIS data. Proceedings of the 2nd CHRIS/PROBA Workshop , ESA/ESRIN, Frascati, Italy. Available online at: http://earth.esa.int/workshops/chris_proba_04/papers/10_MOREN.pdf http://earth.esa.int/workshops/chris_proba_04/papers/10_MOREN.pdf.
   Google Scholar
• Myneni , R. B. and Williams , D. L. 1994 . On the relationship between FAPAR and NDVI. . Remote Sensing of Environment , 49 : 200 – 211 .
   Web of Science ®Google Scholar
• Niang , A. , Badran , F. , Moulin , C. , Crépon , M. and Thiria , S. 2006 . Retrieval of aerosol type and optical thickness over the Mediterranean from SeaWiFS images using an automatic neural classification method. . Remote Sensing of Environment , 100 : 82 – 94 .
   Web of Science ®Google Scholar
• Oppelt , N. and Mauser , W. 2004 . Hyperspectral monitoring of physiological of parameters of wheat during a vegetation period using AVIS data. . International Journal of Remote Sensing , 25 : 145 – 159 .
   Web of Science ®Google Scholar
• Pearce , R. B. , Brown , R. H. and Blaser , R. E. 1965 . Relationships between leaf area index, light interception and net photosynthesis in orchardgrass. . Crop Science , 5 : 553 – 556 .
   Google Scholar
• Price , J. C. 1992 . Estimating vegetation amount from visible and near infrared reflectance measurements. . Remote Sensing of Environment , 41 : 29 – 34 .
   Web of Science ®Google Scholar
• Richardson , A. , Duigan , S. and Berlyn , G. 2002 . An evaluation of non invasive methods to estimate foliar chlorophyll content. . New Phytologist , 153 : 185 – 194 .
   Web of Science ®Google Scholar
• Sagardoy , R. , Gandía , S. , Moreno , J. and Morales , F. Crop photosynthetic pigment composition during the SEN2FLEX campaigns. Proceedings of Final Workshop of SEN2FLEX , ESA‐Estec, The Netherlands 31 October 2006, CD‐ROM
   Google Scholar
• Thomas , J. R. and Gausman , H. W. 1977 . Leaf reflectance vs leaf chlorophyll and cartenoid concentrations for eight crops. . Agronomy Journal , 69 : 799 – 802 .
   Web of Science ®Google Scholar
• Welles , J. M. and Norman , J. M. 1991 . Instrument for indirect measurement of canopy architecture. . Agronomy Journal , 83 : 818 – 825 .
   Web of Science ®Google Scholar
• Vuolo , F. , Dini , L. and D'Urso , G. Retrieval of leaf area index from remote sensing data: how much do you pay for what you get? . 2nd Recent Advances in Quantitative Remote Sensing , pp. 266 – 271 . Torrent, Valencia, 2006, GCU (Ed.)
   Google Scholar