Boreas Te-18 Biomass Density Image of the Ssa

Boreas Te-18 Biomass Density Image of the Ssa
Author: National Aeronautics and Space Adm Nasa
Publisher: Independently Published
Total Pages: 36
Release: 2018-09-27
Genre:
ISBN: 9781724093578
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The 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. This biomass density image covers almost the entire BOREAS SSA. The pixels for which biomass density is computed include areas, that are in conifer land cover classes only. The biomass density values represent the amount of overstory biomass (i.e., tree biomass only) per unit area. It is derived from a Landsat-5 TM image collected on 02-Sep-1994. The technique that was used to create this image is very similar to the technique that was as used to create the physical classification of the SSA. The 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 Activity Archive Center (DAAC). Hall, Forrest G. (Editor) and Knapp, David Goddard Space Flight Center NASA/TM-2000-209891/VOL174, Rept-2000-03136-0/VOL174, NAS 1.15:209891/VOL174

Boreas Te-18 Landsat TM Physical Classification Image of the Ssa

Boreas Te-18 Landsat TM Physical Classification Image of the Ssa
Author: National Aeronautics and Space Adm Nasa
Publisher: Independently Published
Total Pages: 36
Release: 2018-09-27
Genre:
ISBN: 9781724093356
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The 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 Activity Archive Center (DAAC). Hall, Forrest G. (Editor) and Knapp, David Goddard Space Flight Center NASA/TM-2000-209891/VOL176, Rept-2000-03136-0/VOL176, NAS 1.15:209891/VOL176