Spatial data quality in SDI environment: Assessing and reporting the positional accuracy element - Softcover
Synopsis
Objectives of the research presented in this book are addressed in the INSPIRE Directive framework and in the European Spatial Data Infrastructure (ESDI) that is characterized from a growing availability of heterogeneous spatial data that will have to be integrated. The author consider the description of spatial data quality through metadata as an essential task for the implementation of an SDI, whereas current INSPIRE recommendations for metadata specifications have not clearly identified data quality as a major issue. Quality is often regarded as one of the metadata labels, that can be addressed by the users without further specifications. The research focuses on the positional accuracy that could help users to make a more correct evaluation about suitable data for their needs and for their intended application. The analysis of the positional accuracy assessment has resulted in the proposal of new metadata fields to report the positional accuracy element. The proposal is illustrated with support of some outstanding examples of geographic data products, i.e. elevation models coming from LiDAR data and satellite images characterized by different spatial resolutions.
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About the Author
She studied Mathematics at Università degli Studi in Milan, Ph.D. in Geodesy and Geomatics at Politecnico of Milan; research fellow at IREA-CNR (Institute for Electromagnetic Sensing of the Environment - National Research Council); teaches Mathemathics and Statistics at Università degli Studi in Milan.
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Spatial data quality in SDI environment
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Objectives of the research presented in this book are addressed in the INSPIRE Directive framework and in the European Spatial Data Infrastructure (ESDI) that is characterized from a growing availability of heterogeneous spatial data that will have to be integrated. The author consider the description of spatial data quality through metadata as an essential task for the implementation of an SDI, whereas current INSPIRE recommendations for metadata specifications have not clearly identified data quality as a major issue. Quality is often regarded as one of the metadata labels, that can be addressed by the users without further specifications. The research focuses on the positional accuracy that could help users to make a more correct evaluation about suitable data for their needs and for their intended application. The analysis of the positional accuracy assessment has resulted in the proposal of new metadata fields to report the positional accuracy element. The proposal is illustrated with support of some outstanding examples of geographic data products, i.e. elevation models coming from LiDAR data and satellite images characterized by different spatial resolutions. 184 pp. Englisch. Seller Inventory # 9783838376677
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Spatial data quality in SDI environment
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Spatial data quality in SDI environment | Assessing and reporting the positional accuracy element
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Taschenbuch. Condition: Neu. Spatial data quality in SDI environment | Assessing and reporting the positional accuracy element | Daniela Poggioli | Taschenbuch | 184 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838376677 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 101028606
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Spatial data quality in SDI environment
Published by
LAP LAMBERT Academic Publishing Jun 2010, 2010
ISBN 10: 3838376676
ISBN 13: 9783838376677
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Objectives of the research presented in this book are addressed in the INSPIRE Directive framework and in the European Spatial Data Infrastructure (ESDI) that is characterized from a growing availability of heterogeneous spatial data that will have to be integrated. The author consider the description of spatial data quality through metadata as an essential task for the implementation of an SDI, whereas current INSPIRE recommendations for metadata specifications have not clearly identified data quality as a major issue. Quality is often regarded as one of the metadata labels, that can be addressed by the users without further specifications. The research focuses on the positional accuracy that could help users to make a more correct evaluation about suitable data for their needs and for their intended application. The analysis of the positional accuracy assessment has resulted in the proposal of new metadata fields to report the positional accuracy element. The proposal is illustrated with support of some outstanding examples of geographic data products, i.e. elevation models coming from LiDAR data and satellite images characterized by different spatial resolutions.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 184 pp. Englisch. Seller Inventory # 9783838376677
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Spatial data quality in SDI environment : Assessing and reporting the positional accuracy element
Published by
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838376676
ISBN 13: 9783838376677
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Objectives of the research presented in this book are addressed in the INSPIRE Directive framework and in the European Spatial Data Infrastructure (ESDI) that is characterized from a growing availability of heterogeneous spatial data that will have to be integrated. The author consider the description of spatial data quality through metadata as an essential task for the implementation of an SDI, whereas current INSPIRE recommendations for metadata specifications have not clearly identified data quality as a major issue. Quality is often regarded as one of the metadata labels, that can be addressed by the users without further specifications. The research focuses on the positional accuracy that could help users to make a more correct evaluation about suitable data for their needs and for their intended application. The analysis of the positional accuracy assessment has resulted in the proposal of new metadata fields to report the positional accuracy element. The proposal is illustrated with support of some outstanding examples of geographic data products, i.e. elevation models coming from LiDAR data and satellite images characterized by different spatial resolutions. Seller Inventory # 9783838376677