Advanced Processing of Remote Sensing Data for Land Use and Land Cover

Alexander Zamyatin

ISBN 10: 3838329937 / ISBN 13: 9783838329932

Published by LAP LAMBERT Academic Publishing Sep 2010, 2010

About this Item

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.

Seller Inventory # 9783838329932

Bibliographic Details

• Title: Advanced Processing of Remote Sensing Data for Land Use and Land Cover
• Publisher: LAP LAMBERT Academic Publishing Sep 2010
• Publication Date: 2010
• Language: English
• ISBN 10: 3838329937
• ISBN 13: 9783838329932
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 14D millimeters 220 millimeters width by 150 millimeters height by 14 millimeters depth
• Weight: 364 grams

About this title

Synopsis

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.

About the Author

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.