BOREAS TE-18, 30-m, Radiometrically Rectified Landsat TM Imagery PDF Download

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Category :
Languages : en
Pages : 28

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Category :
Languages : en
Pages : 24

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Author: National Aeronautics and Space Adm Nasa
Publisher: Independently Published
ISBN: 9781724090416
Category :
Languages : en
Pages : 38

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The BOREAS TE-18 team used a radiometric rectification process to produce standardized DN values for a series of Landsat TM images of the BOREAS SSA and NSA in order to compare images that were collected under different atmospheric conditions. The images for each study area were referenced to an image that had very clear atmospheric qualities. The reference image for the SSA was collected on 02-Sep-1994, while the reference image for the NSA was collected on 21-Jun-1995. the 23 rectified images cover the period of 07-Jul-1985 to 18 Sep-1994 in the SSA and from 22-Jun-1984 to 09-Jun-1994 in the NSA. Each of the reference scenes had coincident atmospheric optical thickness measurements made by RSS-11. The radiometric rectification process is described in more detail by Hall et al. (199 1). The original Landsat TM data were received from CCRS for use in the BOREAS project. The data are stored in binary image-format files. Due to the nature of the radiometric rectification process and copyright issues, these full-resolution images may not be publicly distributed. However, a spatially degraded 60-m resolution version of the images is available on the BOREAS CD-ROM series. See Sections 15 and 16 for information about how to possibly acquire the full resolution data. Information about the full-resolution images is provided in an inventory listing on the CD-ROMs. 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/VOL177, Rept-2000-03136-0/VOL177, NAS 1.15:209891/VOL177

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Category : Global environmental change
Languages : en
Pages : 136

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Since its inception, the U.S. Global Change Research Program has had the policy of full and open data availability. This policy has already been implemented not only through the participating agencies but through many inter-agency mechanisms such as publications, Internet based services, and in many international settings. This fourth of a series of yearly publications represents another important step in this interagency process of making the data and information related to the Global Change Research Program available. It is particularly needed at this time since the users of this data and information have expanded from being primarily researchers to being a full mix that also includes educators, those making assessments of potential effects of global change, the commercial world, and the public as well as policy makers at all levels. One of this publication's objectives is to provide this diverse user community with a concise summary of what data has been cataloged and made newly available each year. This is being done in both this published form and in the Global Change Data and Information System on the Internet(www.gcdis.usgcrp.gov) with links to each data set, where available. Other objectives, however, are also important. These include giving recognition to the individuals and organizations who have done the important job of making the data available and providing a mechanism where the data sets used in a publication or assessment can be cited similarly to the citations now commonly used in publications to reference other publications.

Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781721239351
Category :
Languages : en
Pages : 34

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The BOREAS TE-18 team used a radiometric rectification process to produce standardized DN values for a series of Landsat TM images of the BOREAS SSA and NSA in order to compare images that were collected under different atmospheric conditions. The images for each study area were referenced to an image that had very clear atmospheric qualities. The reference image for the SSA was collected on 02-Sep-1994, while the reference image for the NSA was collected on 2 1 Jun-1995. The 23 rectified images cover the period of 07-Jul-1985 to 18-Sep-1994 in the SSA and 22-Jun-1984 to 09-Jun-1994 in the NSA. Each of the reference scenes had coincident atmospheric optical thickness measurements made by RSS-11. The radiometric rectification process is described in more detail by Hall et al. (1991). The original Landsat TM data were received from CCRS for use in the BOREAS project. Due to the nature of the radiometric rectification process and copyright issues, the full-resolution (30-m) images may not be publicly distributed. However, this spatially degraded 60-m resolution version of the images may be openly distributed and is available on the BOREAS CD-ROM series. After the radiometric rectification processing, the original data were degraded to a 60-m pixel size from the original 30-m pixel size by averaging the data over a 2- by 2-pixel window. The data are stored in binary image-format files. 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/VOL178, Rept-2000-03136-0/VOL178, NAS 1.15:209891/VOL178

Author: Holly Strand
Publisher:
ISBN:
Category : Biodiversity
Languages : en
Pages : 208

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"This sourcebook is intended to assist environmental managers and others who work with indicators in pursuing appropriate methods for indicator testing and production, and to offer some guidance to those responsible for the interpretation of indicators and implementation of decisions based on them. Upon reading this document, technical advisers, environmental policy makers, and remote sensing lab directors and project managers should be able to identify specific, relevant uses of remote sensing data for biodiversity monitoring and indicator development related to the CBD." --p. 8.

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.

Author: Mario A. Gomarasca
Publisher: Springer Science & Business Media
ISBN: 1402090145
Category : Technology & Engineering
Languages : en
Pages : 690

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Geomatics is a neologism, the use of which is becoming increasingly widespread, even if it is not still universally accepted. It includes several disciplines and te- niques for the study of the Earth’s surface and its environments, and computer science plays a decisive role. A more meaningful and appropriate expression is G- spatial Information or GeoInformation. Geo-spatial Information embeds topography in its more modern forms (measurements with electronic instrumentation, sophisticated techniques of data analysis and network compensation, global satellite positioning techniques, laser scanning, etc.), analytical and digital photogrammetry, satellite and airborne remote sensing, numerical cartography, geographical information systems, decision support systems, WebGIS, etc. These specialized elds are intimately interrelated in terms of both the basic science and the results pursued: rigid separation does not allow us to discover several common aspects and the fundamental importance assumed in a search for solutions in the complex survey context. The objective pursued by Mario A. Gomarasca, one that is only apparently modest, is to publish an integrated text on the surveying theme, containing simple and comprehensible concepts relevant to experts in Geo-spatial Information and/or speci cally in one of the disciplines that compose it. At the same time, the book is rigorous and synthetic, describing with precision the main instruments and methods connected to the multiple techniques available today.

Author: Steven E. Franklin
Publisher: CRC Press
ISBN: 1420032852
Category : Law
Languages : en
Pages : 425

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As remote sensing data and methods have become increasingly complex and varied - and increasingly reliable - so have their uses in forest management. New algorithms have been developed in virtually every aspect of image analysis, from classification to enhancements to estimating parameters. Remote Sensing for Sustainable Forest Management reviews t

Author: Michael D. King
Publisher:
ISBN:
Category : Artificial satellites in remote sensing
Languages : en
Pages : 284

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Description of the data products that will be produced from the named scientific missions.