Combining hyperspectral remote sensing and physical modeling for applications in land ecosystems

David G. Goodenough, Jing Y. Li, Gregory P. Asner, Michael E. Schaepman, Susan L. Ustin, Andrew Dyk

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

Land ecosystems, in particular forest ecosystems, are under increasing pressure from environmental changes such as population growth, global warming, wildfires, forest insects, and diseases. Data from hyperspectral sensors can be used to map forest species and determine biophysical and biochemical properties. Modeling plays an important role in accurate determination of ecosystem properties. Radiative transfer models are used to understand how radiation interacts with the atmosphere and the Earth's terrestrial surface and to correct observed radiances to surface reflectance. Canopy models are used to infer through inversion quantitative information from hyperspectral data on canopy structure and foliage biochemistry. This article presents an overview on combining hyperspectral sensing with canopy radiative transfer models to derive ecosystem information products.

Original languageEnglish (US)
Title of host publication2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2000-2004
Number of pages5
ISBN (Print)0780395107, 9780780395107
DOIs
StatePublished - Jan 1 2006
Event2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS - Denver, CO, United States
Duration: Jul 31 2006Aug 4 2006

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Other

Other2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
CountryUnited States
CityDenver, CO
Period7/31/068/4/06

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Keywords

  • AVIRIS
  • Bioindicator
  • CHRIS
  • EO-1
  • Ecosystem
  • Forestry
  • Hyperspectral
  • Radiative transfer model
  • Vegetation indices

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Cite this

Goodenough, D. G., Li, J. Y., Asner, G. P., Schaepman, M. E., Ustin, S. L., & Dyk, A. (2006). Combining hyperspectral remote sensing and physical modeling for applications in land ecosystems. In 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS (pp. 2000-2004). [4241665] (International Geoscience and Remote Sensing Symposium (IGARSS)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2006.518