Boreas Te-18 Landsat TM Maximum Likelihood Classification Image of the Nsa PDF Download
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Author: National Aeronautics and Space Administration (NASA) Publisher: Createspace Independent Publishing Platform ISBN: 9781721239504 Category : Languages : en Pages : 32
Book Description
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
Author: National Aeronautics and Space Administration (NASA) Publisher: Createspace Independent Publishing Platform ISBN: 9781721239504 Category : Languages : en Pages : 32
Book Description
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
Author: National Aeronautics and Space Adm Nasa Publisher: Independently Published ISBN: 9781724099853 Category : Languages : en Pages : 32
Book Description
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
Author: Kumar Navulur Publisher: CRC Press ISBN: 1420043072 Category : Technology & Engineering Languages : en Pages : 206
Book Description
Bringing a fresh new perspective to remote sensing, object-based image analysis is a paradigm shift from the traditional pixel-based approach. Featuring various practical examples to provide understanding of this new modus operandi, Multispectral Image Analysis Using the Object-Oriented Paradigm reviews the current image analysis methods and demonstrates advantages to improve information extraction from imagery. This reference describes traditional image analysis techniques, introduces object-oriented technology, and discusses the benefits of object-based versus pixel-based classification. It examines the creation of object primitives using image segmentation approaches and the use of various techniques for object classification. The author covers image enhancement methods, how to use ancillary data to constrain image segmentation, and concepts of semantic grouping of objects. He concludes by addressing accuracy assessment approaches. The accompanying downloadable resources present sample data that enable the use of different approaches to problem solving. Integrating remote sensing techniques and GIS analysis, Multispectral Image Analysis Using the Object-Oriented Paradigm distills new tools to extract information from remotely sensed data.
Author: National Aeronautics and Space Administration (NASA) Publisher: Createspace Independent Publishing Platform ISBN: 9781721238934 Category : Languages : en Pages : 34
Book Description
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
Author: David S. G. Thomas Publisher: John Wiley & Sons ISBN: 1118687434 Category : Science Languages : en Pages : 918
Book Description
The third edition of this comprehensive encyclopedic dictionary covers the whole field of physical geography and provides an essential reference for all students and lecturers in this field.
Author: National Aeronautics and Space Administration (NASA)
Author: National Aeronautics and Space Administration (NASA)
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Author: National Aeronautics and Space Adm Nasa
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Author: Kumar Navulur
Author: National Aeronautics and Space Administration (NASA)
Author: David S. G. Thomas