Título,Autor,palabras clave,Fecha publicación,Editor,citación,Resumen,url,doi,issn,isbn,tipología "Remote Sensing in BOREAS: Lessons learned","Chen, J.; Goetz, S.; Moghaddam, M.; Zarco-Tejada, Pablo J.; Hu, B.; Cihlar, J.; Gamón, José Alfonso; Kimball, John S.; Miller, John R.; Fuentes, David; Fernandes, Richard; Huemmrich, K. F.; Peddle, D. R.; Hall, F. G.; McDonald, K. C.; Rahman, A. F.; Roujean, J. L.; Smith, E. A.; Walthall, C. L.; Gu, Jianfeng","Land cover; Boreal forest; Remote sensing; Carbon cycle","2004","Elsevier","Remote Sensing of Environment, 89(2), 139-162.","The Boreal Ecosystem Atmosphere Study (BOREAS) was a large, multiyear internationally supported study designed to improve ourunderstanding of the boreal forest biome and its interactions with the atmosphere, biosphere, and the carbon cycle in the face of globalclimate change. In the initial phase of this study (early 1990s), remote sensing played a key role by providing products needed for planningand modeling. During and after the main BOREAS field campaigns (1994 and 1996), innovative remote sensing approaches and analysesexpanded 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 issuesand over 500 journal papers, a principal legacy of BOREAS is its well-documented and publicly available database, which provides a lastingscientific resource and opportunity to further advance our understanding of this critical northern biome.","http://hdl.handle.net/10261/10248","10.1016/j.rse.2003.08.017","0034-4257","","Artículo"