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9783838329932: Advanced Processing of Remote Sensing Data for Land Use and Land Cover: Concepts, Methods, Applications

Sinopsis

Tasks of land use and land cover change analysis according to remote sensing data are confined to the need of on-line processing of large and constantly growing volumes of satellite information. These tasks require quite complex stages, among which, three are needed to be focused on. First, storage and transmission satellite information along communication channels with the application of the specialized compression methods with and without losses. Second, automated interpretation of time series remote sensing data, a high accuracy of which is achieved via texture analysis, parametric and non-parametric statistical and artificial neural network approaches. Third, land cover and land use change modeling with the time series thematic maps allowing one to make the results of short-term and long-term forecasting on an investigated area. The solution of the specified tasks with the high precision requires the development of advanced processing data approaches as well as a considerable increase of its productivity via new methods of high-performance parallel data processing based on both the expensive supercomputer equipment and the clusters of inexpensive personal computers.

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Reseña del editor

Tasks of land use and land cover change analysis according to remote sensing data are confined to the need of on-line processing of large and constantly growing volumes of satellite information. These tasks require quite complex stages, among which, three are needed to be focused on. First, storage and transmission satellite information along communication channels with the application of the specialized compression methods with and without losses. Second, automated interpretation of time series remote sensing data, a high accuracy of which is achieved via texture analysis, parametric and non-parametric statistical and artificial neural network approaches. Third, land cover and land use change modeling with the time series thematic maps allowing one to make the results of short-term and long-term forecasting on an investigated area. The solution of the specified tasks with the high precision requires the development of advanced processing data approaches as well as a considerable increase of its productivity via new methods of high-performance parallel data processing based on both the expensive supercomputer equipment and the clusters of inexpensive personal computers.

Biografía del autor

Alexander V. Zamyatin, PhD in Computer Science at Tomsk Polytechnic University. Research advanced processing of remote sensing data for land use and land cover change analysis. Associate Professor at Computer Engineering Dept. in Tomsk Polytechnic University.

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Alexander Zamyatin
Publicado por LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838329937 ISBN 13: 9783838329932
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Zamyatin AlexanderAlexander V. Zamyatin, PhD in Computer Science at Tomsk Polytechnic University. Research advanced processing of remote sensing data for land use and land cover change analysis. Associate Professor at Computer Engine. Nº de ref. del artículo: 5413603

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Alexander Zamyatin
ISBN 10: 3838329937 ISBN 13: 9783838329932
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Tasks of land use and land cover change analysis according to remote sensing data are confined to the need of on-line processing of large and constantly growing volumes of satellite information. These tasks require quite complex stages, among which, three are needed to be focused on. First, storage and transmission satellite information along communication channels with the application of the specialized compression methods with and without losses. Second, automated interpretation of time series remote sensing data, a high accuracy of which is achieved via texture analysis, parametric and non-parametric statistical and artificial neural network approaches. Third, land cover and land use change modeling with the time series thematic maps allowing one to make the results of short-term and long-term forecasting on an investigated area. The solution of the specified tasks with the high precision requires the development of advanced processing data approaches as well as a considerable increase of its productivity via new methods of high-performance parallel data processing based on both the expensive supercomputer equipment and the clusters of inexpensive personal computers. 232 pp. Englisch. Nº de ref. del artículo: 9783838329932

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Alexander Zamyatin
Publicado por LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838329937 ISBN 13: 9783838329932
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Tasks of land use and land cover change analysis according to remote sensing data are confined to the need of on-line processing of large and constantly growing volumes of satellite information. These tasks require quite complex stages, among which, three are needed to be focused on. First, storage and transmission satellite information along communication channels with the application of the specialized compression methods with and without losses. Second, automated interpretation of time series remote sensing data, a high accuracy of which is achieved via texture analysis, parametric and non-parametric statistical and artificial neural network approaches. Third, land cover and land use change modeling with the time series thematic maps allowing one to make the results of short-term and long-term forecasting on an investigated area. The solution of the specified tasks with the high precision requires the development of advanced processing data approaches as well as a considerable increase of its productivity via new methods of high-performance parallel data processing based on both the expensive supercomputer equipment and the clusters of inexpensive personal computers. Nº de ref. del artículo: 9783838329932

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Alexander Zamyatin
ISBN 10: 3838329937 ISBN 13: 9783838329932
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Taschenbuch. Condición: Neu. Neuware -Tasks of land use and land cover change analysis according to remote sensing data are confined to the need of on-line processing of large and constantly growing volumes of satellite information. These tasks require quite complex stages, among which, three are needed to be focused on. First, storage and transmission satellite information along communication channels with the application of the specialized compression methods with and without losses. Second, automated interpretation of time series remote sensing data, a high accuracy of which is achieved via texture analysis, parametric and non-parametric statistical and artificial neural network approaches. Third, land cover and land use change modeling with the time series thematic maps allowing one to make the results of short-term and long-term forecasting on an investigated area. The solution of the specified tasks with the high precision requires the development of advanced processing data approaches as well as a considerable increase of its productivity via new methods of high-performance parallel data processing based on both the expensive supercomputer equipment and the clusters of inexpensive personal computers.Books on Demand GmbH, Überseering 33, 22297 Hamburg 232 pp. Englisch. Nº de ref. del artículo: 9783838329932

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Alexander Zamyatin
Publicado por LAP Lambert Academic Publishing, 2010
ISBN 10: 3838329937 ISBN 13: 9783838329932
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Librería: Revaluation Books, Exeter, Reino Unido

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Paperback. Condición: Brand New. 232 pages. 8.66x5.91x0.53 inches. In Stock. Nº de ref. del artículo: 3838329937

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