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BOREAS TE-18 Landsat TM Maximum Likelihood Classification Image of the SSAThe BOREAS TE-18 team focused its efforts on using remotely sensed data to characterize the successional and disturbance dynamics of the boreal forest for use in carbon modeling. The objective of this classification is to provide the BOREAS investigators with a data product that characterizes the land cover of the SSA. A Landsat-5 TM image from 02-Sep- 1994 was used to derive the classification. A technique was implemented that uses reflectances of various land cover types along with a geometric optical canopy model to produce spectral trajectories. These trajectories are used as training data to classify the image into the different land cover classes. These data are provided in a binary image file format. The data files are available on a CD-ROM (see document number 20010000884), or from the Oak Ridge National Laboratory (ORNL) Distributed Active Center (DAAC).
Document ID
20010005247
Acquisition Source
Goddard Space Flight Center
Document Type
Technical Memorandum (TM)
Authors
Hall, Forrest G.
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Knapp, David
(Raytheon Information Technology and Scientific Services Greenbelt, MD United States)
Date Acquired
September 7, 2013
Publication Date
October 1, 2000
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
NASA/TM-2000-209891/VOL175
NAS 1.15:209891/VOL175
Rept-2000-03136-0/VOL175
Funding Number(s)
PROJECT: RTOP 462-33-01
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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