Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data

No abstract is available for this paper.

• Publication year

  2001

• Venue

  IEEE Transactions on Geoscience and Remote Sensing

• Publication date

  2001-07-01

• Fields of study

  Computer Science, Environmental Science

• Identifiers
  DOI 10.1109/36.934080
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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  2000influential reference
• Investigation of a model inversion technique to estimate canopy biophysical variables from spectral and directional reflectance data

  2000cited by this paper
• Comparison of four radiative transfer models to simulate plant canopies reflectance: direct and inverse mode.

  2000influential reference
• Optical Indices as Bioindicators of Forest Condition from Hyperspectral CASI data

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• Chlorophyll Fluorescence Effects on Vegetation Apparent Reflectance: I. Leaf-Level Measurements and Model Simulation

  2000influential reference
• Chlorophyll fluorescence effects on vegetation apparent reflectance: II. laboratory and airborne canopy-level measurements with hyperspectral data.

  2000cited by this paper
• Comparison of three radiative transfer model inversion techniques to estimate canopy biophysical variables from remote sensing data

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  1999influential reference
• MODIS VEGETATION INDEX ( MOD 13 ) ALGORITHM THEORETICAL BASIS DOCUMENT Version 3 . 1 Principal Investigators

  1999cited by this paper
• Forward and inverse modelling of canopy directional reflectance using a neural network

  1998cited by this paper
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  1998cited by this paper
• LAI and fAPAR mapping at global scale by model inversion against spaceborne POLDER data

  1998cited by this paper
• Monitoring of vegetation parameters on large areas by the inversion of a canopy reflectance model

  1998influential reference
• Remote estimation of chlorophyll content in higher plant leaves

  1997cited by this paper
• The photochemical reflectance index: an optical indicator of photosynthetic radiation use efficiency across species, functional types, and nutrient levels

  1997cited by this paper
• Photochemical reflectance index and leaf photosynthetic radiation-use-efficiency assessment in Mediterranean trees

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• A computer-efficient plant canopy reflectance model

  1996cited by this paper
• Forest canopy chemistry with high spectral resolution remote sensing

  1996influential reference
• Extracting ecological and biophysical information from AVHRR optical data: An integrated algorithm based on inverse modeling

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• Decoupling effects of the canopy and foliar biochemicals in AVIRIS spectra

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• Quantitative characterization of the vegetation red edge reflectance 1. An inverted-Gaussian reflectance model

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• Spectral reflectance of partly transmitting leaves: Laboratory measurements and mathematical modeling

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