A statistical framework for the sensitivity analysis of radiative transfer models

Robin D. Morris, Athanasios Kottas, Matthew Taddy, Roberto Furfaro, Barry D Ganapol

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Process models are widely used tools, both for studying fundamental processes themselves and as elements of larger system studies. A radiative transfer model (RTM) simulates the interaction of light with a medium. We are interested in RTMs that model light reflected from a vegetated region. Such an RTM takes as input various biospheric and illumination parameters and computes the upwelling radiation at the top of the canopy. The question we address is as follows: Which of the inputs to the RTM has the greatest impact on the computed observation? We study the leaf canopy model (LCM) RTM, which was designed to study the feasibility of observing leaf chemistry remotely. Its inputs are leaf chemistry variables (chlorophyll, water, lignin, and cellulose) and canopy structural parameters (leaf area index, leaf angle distribution, soil reflectance, and sun angle). We present a statistical approach to the sensitivity analysis of RTMs to answer the question previously posed. The focus is on global sensitivity analysis, studying how the RTM output changes as the inputs vary continuously according to a probability distribution over the input space. The influence of each input variable is captured through the "main effects" and "sensitivity indices." Direct computation requires extensive computationally expensive runs of the RTM. We develop a Gaussian process approximation to the RTM output to enable efficient computation. We illustrate how the approach can effectively determine the inputs that are vital for accurate prediction. The methods are applied to the LCM with seven inputs and output obtained at eight wavelengths associated with Moderate-resolution Imaging Spectroradiometer bands that are sensitive to vegetation.

Original languageEnglish (US)
Article number4683350
Pages (from-to)4062-4074
Number of pages13
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume46
Issue number12
DOIs
StatePublished - Dec 2008

Fingerprint

Radiative transfer
Sensitivity analysis
radiative transfer
sensitivity analysis
canopy
Resin transfer molding
Biospherics
Chlorophyll
Lignin
leaf area index
Sun
Probability distributions
lignin
MODIS
cellulose
Cellulose
reflectance
upwelling
chlorophyll
Lighting

Keywords

  • Gaussian process (GP)
  • Main effects
  • Moderate resolution Imaging Spectroradiometer (MODIS)
  • Radiative transfer model (RTM)
  • Sensitivity analysis
  • Sensitivity index

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Earth and Planetary Sciences(all)

Cite this

A statistical framework for the sensitivity analysis of radiative transfer models. / Morris, Robin D.; Kottas, Athanasios; Taddy, Matthew; Furfaro, Roberto; Ganapol, Barry D.

In: IEEE Transactions on Geoscience and Remote Sensing, Vol. 46, No. 12, 4683350, 12.2008, p. 4062-4074.

Research output: Contribution to journalArticle

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