Unmixing the directional reflectances of avhrr sub-pixel landcovers

Research output: Contribution to journalArticle

48 Citations (Scopus)

Abstract

Recent progress in canopy bidirectional reflectance distribution function (BRDF) model inversions has allowed accurate estimates of vegetation biophysical characteristics from remotely sensed multi-angle optical data. Since most current BRDF inversion methods utilize one-dimensional (1-D) models surface homogeneity within an image pixel is implied. The Advanced Very High Resolution Radiometer (AVHRR) is one of the few spaceborne sensors capable of acquiring radiometric data over the range of view angles required for BRDF inversions. However its relatively coarse spatial resolution often results in measurements of mixed landcovers and thus the data may not be ideal for BRDF inversions. We present a three-step spectral unmixing method for retrieving AVHRR sub-pixel directional reflectances in regions of high spatial heterogeneity. The reflectances of individual vegetation types are deconvolved using co-located Landsat TM and AVHRR data. The three major steps in the model include: 1) unmixing of vegetation endmember concentrations in TM imagery; 2) correction of dissimilar shadow fractions between TM and AVHRR data; and 3) unmixing of AVHRR sub-pixel reflectances of vegetation types for any sunsensor geometry. We tested the method using simulated TM and AVHRR data. A savanna landscape simulation comprised of a canopy radiative transfer model and a crown geometric-optical model was used to create images containing mixed pixels of tree grass and shade endmembers. TM and AVHRR spectral response functions viewing geometries and off-nadir pixel shape calculations were incorporated into the simulations. Following the successful testing of the unmixing method on error-free simulations random noise representing atmospheric perturbations and co-registration inaccuracies was added to the data. The method is stable when errors resulting from either the first unmixing step or image co-registration inaccuracies are introduced. Potential errors in the AVHRR data may result in inaccurately retrieved reflectances if the image scene contains a spatially homogeneous mix of landcovers. A method for detecting and mitigating this problem is presented.

Original languageEnglish (US)
Pages (from-to)868-878
Number of pages11
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume35
Issue number4
DOIs
StatePublished - Dec 1 1997
Externally publishedYes

Fingerprint

Advanced very high resolution radiometers (AVHRR)
AVHRR
reflectance
pixel
land cover
Pixels
bidirectional reflectance
Distribution functions
vegetation type
simulation
geometry
canopy reflectance
Geometry
vegetation
Radiative transfer
nadir
Landsat thematic mapper
savanna
homogeneity
radiative transfer

ASJC Scopus subject areas

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

Cite this

Unmixing the directional reflectances of avhrr sub-pixel landcovers. / Asner, Gregory P.

In: IEEE Transactions on Geoscience and Remote Sensing, Vol. 35, No. 4, 01.12.1997, p. 868-878.

Research output: Contribution to journalArticle

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