Using imaging spectroscopy to study ecosystem processes and properties

Susan L. Ustin, Dar A. Roberts, John A. Gamon, Gregory P. Asner, Robert O. Green

Research output: Contribution to journalReview article

383 Scopus citations

Abstract

Remote sensing data provide essential input for today's climate and ecosystem models. It is generally agreed that many model processes are not accurately depicted by current remotely sensed indices of vegetation and that new observational capabilities are needed at different spatial and spectral scales to reduce uncertainty. Recent advances in materials and optics have allowed the development of smaller, more stable, accurately calibrated imaging spectrometers that can quantify biophysical properties on the basis of the spectral absorbing and scattering characteristics of the land surface. Airborne and spaceborne imaging spectrometers, which measure large numbers (hundreds) of narrow spectral bands, are becoming more widely available from government and commercial sources; thus, it is increasingly feasible to use data from imaging spectroscopy for environmental research. In contrast to multispectral sensors, imaging spectroscopy produces quantitative estimates of biophysical absorptions, which can be used to improve scientific understanding of ecosystem functioning and properties. We present the recent advances in imaging spectroscopy and new cap abilities for using it to quantify a range of ecological variables.

Original languageEnglish (US)
Pages (from-to)523-534
Number of pages12
JournalBioScience
Volume54
Issue number6
DOIs
StatePublished - Jun 2004
Externally publishedYes

    Fingerprint

Keywords

  • Hyperspectral imaging
  • Imaging spectroscopy
  • Landscape ecology
  • Remote sensing
  • Spectral analysis

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)

Cite this