Remote sensing in BOREAS: Lessons learned

J. A. Gamon, K. F. Huemmrich, D. R. Peddle, J. Chen, D. Fuentes, F. G. Hall, J. S. Kimball, S. Goetz, J. Gu, K. C. McDonald, J. R. Miller, M. Moghaddam, A. F. Rahman, J. L. Roujean, E. A. Smith, C. L. Walthall, P. Zarco-Tejada, B. Hu, R. Fernandes, J. Cihlar

Research output: Contribution to journalArticlepeer-review

Abstract

The Boreal Ecosystem Atmosphere Study (BOREAS) was a large, multiyear internationally supported study designed to improve our understanding of the boreal forest biome and its interactions with the atmosphere, biosphere, and the carbon cycle in the face of global climate change. In the initial phase of this study (early 1990s), remote sensing played a key role by providing products needed for planning and modeling. During and after the main BOREAS field campaigns (1994 and 1996), innovative remote sensing approaches and analyses expanded our understanding of the boreal forest in four key areas: (1) definition of vegetation structure, (2) land-cover classification, (3) assessment of the carbon balance, and (4) links between surface properties, weather, and climate. In addition to six BOREAS special issues and over 500 journal papers, a principal legacy of BOREAS is its well-documented and publicly available database, which provides a lasting scientific resource and opportunity to further advance our understanding of this critical northern biome.

Original languageEnglish
Pages (from-to)139-162
Number of pages24
JournalRemote Sensing of Environment
Volume89
Issue number2
DOIs
StatePublished - Jan 30 2004

Keywords

  • Boreal forest
  • Carbon cycle
  • Land cover
  • Remote sensing

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