MERIS and the red-edge position

[1]  M. Iqbal An introduction to solar radiation , 1983 .

[2]  D. Horler,et al.  The red edge of plant leaf reflectance , 1983 .

[3]  L. Natr,et al.  Spectral Signatures of Objects in Remote Sensing , 1983 .

[4]  W. Verhoef Light scattering by leaf layers with application to canopy reflectance modelling: The SAIL model , 1984 .

[5]  W. Verhoef Earth observation modelling based on layer scattering matrices , 1984 .

[6]  W. Verhoef A scene radiation model based on four-stream radiative transfer theory , 1985 .

[7]  John A. Richards,et al.  Remote Sensing Digital Image Analysis , 1986 .

[8]  G. Guyot,et al.  Utilisation de la Haute Resolution Spectrale pour Suivre L'etat des Couverts Vegetaux , 1988 .

[9]  G. Bonham-Carter Numerical procedures and computer program for fitting an inverted Gaussian model to vegetation reflectance data , 1988 .

[10]  C. Wessman,et al.  Remote sensing of canopy chemistry and nitrogen cycling in temperate forest ecosystems , 1988, Nature.

[11]  Ghassem R. Asrar,et al.  Theory and applications of optical remote sensing. , 1989 .

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

[13]  Jean-Loup Bezy,et al.  ESA's Medium Resolution Imaging Spectrometer: mission, system, and applications , 1990, Other Conferences.

[14]  Michael D. Steven,et al.  High resolution derivative spectra in remote sensing , 1990 .

[15]  F. Baret,et al.  PROSPECT: A model of leaf optical properties spectra , 1990 .

[16]  C. Elvidge Visible and near infrared reflectance characteristics of dry plant materials , 1990 .

[17]  J.M. van den Bosch,et al.  Application Of Lowtran 7 As An Atmospheric Correction To Airborne Visible/infrared Imaging Spectrometer (AVIRIS) Data , 1990, 10th Annual International Symposium on Geoscience and Remote Sensing.

[18]  F. Baret,et al.  Potentials and limits of vegetation indices for LAI and APAR assessment , 1991 .

[19]  Feasibility of the red edge index for the detection of nitrogen deficiency. , 1991 .

[20]  Multitemporal analysis of optical satellite data. , 1991 .

[21]  G. Guyot,et al.  Physical measurements and signatures in remote sensing , 1992 .

[22]  Imaging spectroscopy for agricultural applications. , 1992 .

[23]  W. Verhoef,et al.  LAI estimation by means of the WDVI: A sensitivity analysis with a combined PROSPECT‐SAIL model , 1993 .

[24]  Jan G. P. W. Clevers,et al.  Imaging Spectrometry in Agriculture - Plant Vitality And Yield Indicators , 1994 .

[25]  J. Hill,et al.  Imaging spectrometry : a tool for environmental observations , 1994 .

[26]  C. Wessman Estimating Canopy Biochemistry through Imaging Spectrometry , 1994 .

[27]  P. Curran,et al.  A new technique for interpolating the reflectance red edge position , 1998 .

[28]  W. Verhoef Theory of radiative transfer models applied in optical remote sensing of vegetation canopies , 1998 .

[29]  M. Rast,et al.  The ESA Medium Resolution Imaging Spectrometer MERIS a review of the instrument and its mission , 1999 .

[30]  N. Gobron,et al.  Designing optimal spectral indices: A feasibility and proof of concept study , 1999 .

[31]  Bernard Pinty,et al.  MERIS potential for land applications , 1999 .

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

[33]  John A. Richards,et al.  Remote Sensing Digital Image Analysis: An Introduction , 1999 .

[34]  J. Clevers The use of imaging spectrometry for agricultural applications , 1999 .

[35]  Moon S. Kim,et al.  Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance , 2000 .

[36]  F. M. Danson,et al.  Estimating the stem carbon production of a coniferous forest using an ecosystem simulation model driven by the remotely sensed red edge , 2000 .

[37]  V. Demarez,et al.  A Modeling Approach for Studying Forest Chlorophyll Content , 2000 .

[38]  Terence P. Dawson,et al.  The potential for estimating chlorophyll content from a vegetation canopy using the Medium Resolution Imaging Spectrometer (MERIS) , 2000 .

[39]  N. Broge,et al.  Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density , 2001 .

[40]  S. Dutta,et al.  Study of crop growth parameters using Airborne Imaging Spectrometer data , 2001 .

[41]  A. K. Skidmore,et al.  Derivation of the red edge index using the MERIS standard band setting , 2002 .