Evaluating the Type and State of Alaska Taiga Forests with Imaging Radar for Use in Ecosystem Models

Published

Journal Article

Changes in the seasonal CO2 flux of the boreal forests may result from increased atmospheric CO2 concentrations and associated global warming patterns. To monitor this potential change, a combination of information derived from remote sensing data, including forest type and growing season length, and ecophysiological models which predict the CO2 flux and its seasonal amplitude based on meteorological data, are required. In this paper we address the use of synthetic aperture radar (SAR) to map forest type and monitor canopy and soil freeze/thaw, which define the growing season for conifers, and leaf on/off, which defines the growing season for deciduous species. Aircraft SAR (AIRSAR) data collected in March 1988 during a freeze/thaw event are used to generate species maps and to determine the sensitivity of SAR to canopy freeze/thaw transitions. These data are also used to validate a microwave scattering model which is then used to determine the sensitivity of SAR to leaf on/off transitions and soil freeze/thaw. Finally, a CO2 flux algorithm is presented which utilizes SAR data and an ecophysiological model to estimate CO2 flux. CO2 flux maps are generated, from which areal estimates of CO2 flux are derived. © 1994 IEEE

Full Text

Duke Authors

Cited Authors

  • Way, J; Rignot, EJM; McDonald, KC; Oren, R; Kwok, R

Published Date

  • January 1, 1994

Published In

Volume / Issue

  • 32 / 2

Start / End Page

  • 353 - 370

Electronic International Standard Serial Number (EISSN)

  • 1558-0644

International Standard Serial Number (ISSN)

  • 0196-2892

Digital Object Identifier (DOI)

  • 10.1109/36.295050

Citation Source

  • Scopus