BOREAS TE-6 Allometry Data PDF Download
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Languages : en
Pages : 30
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Pages : 30
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Languages : en
Pages : 26
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Languages : en
Pages : 30
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Pages : 20
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Pages : 18
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Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781720410553
Category :
Languages : en
Pages : 28
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The BOREAS TE-6 team collected several data sets in support of its efforts to characterize and interpret information on the plant biomass, allometry, biometry, sapwood, leaf area index, net primary production, soil temperature, leaf water potential, soil CO2 flux, and multivegetation imagery of boreal vegetation. This data set includes tree measurements conducted on the above-ground biomass of trees in the BOREAS NSA and SSA during the growing seasons of 1994 and 1995 and the derived allometric relationships/equations. The data are stored in ASCII files. The data files are available on a CD-ROM (see document number 20010000884), or from the Oak Ridge National Laboratory (ORNL) Distrobuted Activity Archive Center (DAAC).Hall, Forrest G. (Editor) and Papagno, Andrea (Editor) and Gower, Stith T. and Vogel, Jason G.Goddard Space Flight CenterBIOMASS; DATA ACQUISITION; SURFACE TEMPERATURE; LEAF AREA INDEX; WATER; VEGETATION; SOILS; SEASONS; IMAGERY; CARBON DIOXIDE; BIOMETRICS; ECOSYSTEMS
Author: National Aeronautics and Space Administration NASA
Publisher:
ISBN: 9781720289586
Category :
Languages : en
Pages : 28
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The BOREAS TE-6 team collected several data sets in support of its efforts to characterize and interpret information on the plant biomass, allometry, biometry, sapwood, leaf area index, net primary production, soil temperature, leaf water potential, soil CO2 flux, and multivegetation imagery of boreal vegetation. This data set includes tree measurements conducted on the above-ground biomass of trees in the BOREAS NSA and SSA during the growing seasons of 1994 and 1995 and the derived allometric relationships/equations. The data are stored in ASCII files. The data files are available on a CD-ROM (see document number 20010000884), or from the Oak Ridge National Laboratory (ORNL) Distrobuted Activity Archive Center (DAAC).Hall, Forrest G. (Editor) and Papagno, Andrea (Editor) and Gower, Stith T. and Vogel, Jason G.Goddard Space Flight CenterBIOMASS; DATA ACQUISITION; SURFACE TEMPERATURE; LEAF AREA INDEX; WATER; VEGETATION; SOILS; SEASONS; IMAGERY; CARBON DIOXIDE; BIOMETRICS; ECOSYSTEMS...
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Languages : en
Pages : 24
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Category :
Languages : en
Pages : 32
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Author: Kumar Navulur
Publisher: CRC Press
ISBN: 1420043072
Category : Technology & Engineering
Languages : en
Pages : 206
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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.
