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Satellite-derived leaf-area-index and vegetation maps as input to global carbon cycle models - A hierarchical approachA hierarchical procedure for developing a leaf area index (LAI) map of deciduous boreal forests is studied. The collection of spectral reflectance data from the Boundary Waters Canoe area in Minnesota using helicopter-, high-altitude aircraft-, and Landsat-mounted spectral sensors is described. The relationship between LAI and biomass and the reflectance ratio is analyzed. The sensitivity of canopy reflectance in the visible and infrared to the LAI of the canopy for various boreal forest species is evaluated. The data reveal that Landsat data are useful for producing LAI maps of deciduous forest areas and the maps provide data which clarifies the function of vegetation in the global carbon cycle models.
Document ID
19860045456
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Badhwar, G. D.
(NASA Lyndon B. Johnson Space Center Houston, TX, United States)
Macdonald, R. B.
(NASA Johnson Space Center Houston, TX, United States)
Mehta, N. C.
(MIT Lexington, MA, United States)
Date Acquired
August 12, 2013
Publication Date
February 1, 1986
Publication Information
Publication: International Journal of Remote Sensing
Volume: 7
ISSN: 0143-1161
Subject Category
Earth Resources And Remote Sensing
Accession Number
86A30194
Distribution Limits
Public
Copyright
Other

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