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

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

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

Boreas Te-18 Landsat TM Physical Classification Image of the Nsa
Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
Total Pages: 34
Release: 2018-06-16
Genre:
ISBN: 9781721238934

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 NSA. A Landsat-5 TM image from 21-Jun-1995 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 in a way that is similar to training data to classify the image into the different land cover classes. 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 Active Archive Center (DAAC). Hall, Forrest G. (Editor) and Knapp, David Goddard Space Flight Center NASA/TM-2000-209891/VOL173, Rept-2000-03136-0/VOL173, NAS 1.15:209891/VOL173

Boreas Te-18 Landsat TM Maximum Likelihood Classification Image of the Ssa

Boreas Te-18 Landsat TM Maximum Likelihood Classification Image of the Ssa
Author: National Aeronautics and Space Adm Nasa
Publisher: Independently Published
Total Pages: 32
Release: 2018-09-27
Genre:
ISBN: 9781724099853

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 Active Center (DAAC). Hall, Forrest G. (Editor) and Knapp, David Goddard Space Flight Center NASA/TM-2000-209891/VOL175, Rept-2000-03136-0/VOL175, NAS 1.15:209891/VOL175

Boreas Te-18 Landsat TM Maximum Likelihood Classification Image of the Nsa

Boreas Te-18 Landsat TM Maximum Likelihood Classification Image of the Nsa
Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
Total Pages: 32
Release: 2018-06-16
Genre:
ISBN: 9781721239504

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 NSA. A Landsat-5 TM image from 20-Aug-1988 was used to derive this classification. A standard supervised maximum likelihood classification approach was used to produce this classification. The data are provided in a binary image format file. 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/VOL172, Rept-2000-03136-0/VOL172, NAS 1.15:209891/VOL172

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

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