Remote sensing of nitrogen and lignin in Mediterranean vegetation from AVIRIS data: Decomposing biochemical from structural signals

[1]  Susan L. Ustin,et al.  Evaluation of the potential of Hyperion for fire danger assessment by comparison to the Airborne Visible/Infrared Imaging Spectrometer , 2003, IEEE Trans. Geosci. Remote. Sens..

[2]  J. Dungan,et al.  Estimating the foliar biochemical concentration of leaves with reflectance spectrometry: Testing the Kokaly and Clark methodologies , 2001 .

[3]  D. Roberts,et al.  Deriving Water Content of Chaparral Vegetation from AVIRIS Data , 2000 .

[4]  Josep Peñuelas,et al.  ESTIMATION OF CANOPY PHOTOSYNTHETIC AND NONPHOTOSYNTHETIC COMPONENTS FROM SPECTRAL TRANSMITTANCE , 2000 .

[5]  J. Privette,et al.  Impact of Tissue, Canopy, and Landscape Factors on the Hyperspectral Reflectance Variability of Arid Ecosystems , 2000 .

[6]  R. Clark,et al.  Spectroscopic Determination of Leaf Biochemistry Using Band-Depth Analysis of Absorption Features and Stepwise Multiple Linear Regression , 1999 .

[7]  Peter R. J. North,et al.  The Propagation of Foliar Biochemical Absorption Features in Forest Canopy Reflectance , 1999 .

[8]  Jessica A. Faust,et al.  Imaging Spectroscopy and the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) , 1998 .

[9]  G. Asner.  Biophysical and Biochemical Sources of Variability in Canopy Reflectance , 1998 .

[10]  Josep Peñuelas,et al.  Visible and near-infrared reflectance techniques for diagnosing plant physiological status , 1998 .

[11]  Gregory P. Asner,et al.  Variability in Leaf and Litter Optical Properties: Implications for BRDF Model Inversions Using AVHRR, MODIS, and MISR , 1998 .

[12]  R. Scholes,et al.  Tree-grass interactions in Savannas , 1997 .

[13]  Mary E. Martin,et al.  HIGH SPECTRAL RESOLUTION REMOTE SENSING OF FOREST CANOPY LIGNIN, NITROGEN, AND ECOSYSTEM PROCESSES , 1997 .

[14]  Paul J. Curran,et al.  Corrections To "remote Sensing The Biochemical Composition Of A Slash Pine Canopy" , 1997, IEEE Trans. Geosci. Remote. Sens..

[15]  S. Ustin,et al.  Critique of stepwise multiple linear regression for the extraction of leaf biochemistry information from leaf reflectance data , 1996 .

[16]  F. Baret,et al.  Leaf optical properties with explicit description of its biochemical composition: Direct and inverse problems , 1996 .

[17]  B. Gao,et al.  Retrieval of equivalent water thickness and information related to biochemical components of vegetation canopies from AVIRIS data , 1995 .

[18]  C. Field,et al.  Relationships Between NDVI, Canopy Structure, and Photosynthesis in Three Californian Vegetation Types , 1995 .

[19]  S. Jacquemoud,et al.  Investigation of leaf biochemistry by statistics , 1994, Proceedings of IGARSS '94 - 1994 IEEE International Geoscience and Remote Sensing Symposium.

[20]  Ruiliang Pu,et al.  Seasonal Patterns and Remote Spectral Estimation of Canopy Chemistry Across the Oregon Transect , 1994 .

[21]  David L. Peterson,et al.  Multivariate analysis of AVIRIS data for canopy biochemical estimation along the oregon transect , 1994 .

[22]  D. Roberts,et al.  Estimation of aerosol optical depth and additional atmospheric parameters for the calculation of apparent reflectance from radiance measured by the Airborne Visible/Infrared Imaging Spectrometer , 1993 .

[23]  F. Zagolski,et al.  An assessment of canopy chemistry with AVIRIS-A case study in the Landes Forest, South West France , 1993, Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium.

[24]  Wallace M. Porter,et al.  The airborne visible/infrared imaging spectrometer (AVIRIS) , 1993 .

[25]  J. Aber,et al.  A generalized, lumped-parameter model of photosynthesis, evapotranspiration and net primary production in temperate and boreal forest ecosystems , 1992, Oecologia.

[26]  K. Martin.  Recent Advances in Near-Infrared Reflectance Spectroscopy , 1992 .

[27]  J. Dungan,et al.  Reflectance spectroscopy of fresh whole leaves for the estimation of chemical concentration , 1992 .

[28]  Susan L. Ustin,et al.  Opportunities for Using the EOS Imaging Spectrometers and Synthetic Aperture Radar in Ecological Models , 1991, Ecology.

[29]  R. Jackson,et al.  Interpreting vegetation indices , 1991 .

[30]  P. Curran.  Remote sensing of foliar chemistry , 1989 .

[31]  David L. Peterson,et al.  An evaluation of imaging spectrometry for estimating forest canopy chemistry , 1989 .

[32]  B. Rock,et al.  Comparison of in situ and airborne spectral measurements of the blue shift associated with forest decline , 1988 .

[33]  P. Williams,et al.  Near-Infrared Technology in the Agricultural and Food Industries , 1987 .

[34]  P. Vitousek,et al.  Nitrogen Availability and Nitrogen Use Efficiency in Loblolly Pine Stands , 1986 .

[35]  Lalji Dixit,et al.  Quantitative Analysis by Derivative Electronic Spectroscopy , 1985 .

[36]  John F. Muratore,et al.  Nitrogen and Lignin Control of Hardwood Leaf Litter Decomposition Dynamics , 1982 .

[37]  P. V. Soest,et al.  Use of Detergents in the Analysis of Fibrous Feeds. IV. Determination of Plant Cell-Wall Constituents , 1967 .

[38]  Todd Keeler-Wolf,et al.  A Manual of California Vegetation , 2004, Biodiversity & Conservation.

[39]  A. Hope.  Monitoring Ecosystem Response to Global Change: High Spatial Resolution Digital Imagery , 1995 .

[40]  Mary E. Martin,et al.  Measurements of foliar chemistry using laboratory and airborne high spectral resolution visible and infrared data , 1994 .

[41]  R. Biston,et al.  The use of near-infrared reflectance spectroscopy in litter decomposition studies , 1992 .

[42]  C. Wessman.  Evaluation of canopy biochemistry , 1990 .

[43]  Christopher B. Field,et al.  photosynthesis--nitrogen relationship in wild plants , 1986 .

[44]  T. Fearn,et al.  Near infrared spectroscopy in food analysis , 1986 .