2013 7th International Workshop On The Analysis Of Multi Temporal Remote Sensing Images Multi Temp

Acquisition, processing, validation and requirements of time series of images Applications of image time series and change detection at multiple scales, prominently featuring environmental monitoring, water, urban, radar and innovating systems Integration of time series of images with other data

Promote discussion of scientific, methodological and application issues related to multitemporal data analysis Push novel solutions for technical problems related to multitemporal data, promote their use in an increasing number of applications

The development of effective methodologies for the analysis of multi-temporal data is one of the most important and challenging issues that the remote sensing community will face in the coming years. Its importance and timeliness are directly related to the ever-increasing quantity of multi-temporal data provided by the numerous remote sensing satellites that orbit our planet. The synergistic use of multi-temporal remote sensing data and advanced analysis methodologies results in the possibility of solving complex problems related to the monitoring of the Earth''s surface and atmosphere at different scales. However, the advances in the methodologies for the analysis of multi-temporal data have been significantly under-illuminated with respect to other remote sensing data analysis topics. In addition, the link between the end-users'' needs and the scientific community needs to be strengthened.This volume of proceedings contains 43 contributions from researchers representing academia, industry and governmental organizations. It is organized into three thematic sections: Image Analysis and Algorithms; Analysis of Synthetic Aperture Radar Data; Monitoring and Management of Resources.

The development of effective methodologies for the analysis of multi-temporal data is one of the most important and challenging issues that the remote sensing community will face in the coming years. Its importance and timeliness are directly related to the ever-increasing quantity of multi-temporal data provided by the numerous remote sensing satellites that orbit our planet. The synergistic use of multi-temporal remote sensing data and advanced analysis methodologies results in the possibility of solving complex problems related to the monitoring of the Earth's surface and atmosphere at different scales. However, the advances in the methodologies for the analysis of multi-temporal data have been significantly under-illuminated with respect to other remote sensing data analysis topics. In addition, the link between the end-users' needs and the scientific community needs to be strengthened. This volume of proceedings contains 43 contributions from researchers representing academia, industry and governmental organizations. It is organized into three thematic sections: Image Analysis and Algorithms; Analysis of Synthetic Aperture Radar Data; Monitoring and Management of Resources. Contents:Image Analysis and Algorithms:Extending Time-Series of Satellite Images by Radiometric Intercalibration (A Röder et al.)Trajectory of Dynamic Clusters in Image Time Series (P Heas et al.)Change Detection with ALI and Landsat Satellite Data (H Chen et al.)Analysis of Synthetic Aperture Radar Data:Multi-Temporal Interferometric Point Target Analysis (U Wegmüller et al.)Application of Multiple Baseline InSAR Data for DEM Generation (S Takeuchi)Joint Distributions for Multi-Temporal Series of Radar Images (B Storvik et al.)Monitoring and Management of Resources:Detection of Vegetation Changes in an Alpine Protected Area (M Maggi et al.)Monitoring Drought Stress in North-Eastern China by Means of Rainfall Data and Diachrone Indices Derived from Pathfinder AVHRR-Imagery (P Ozer et al.)Science for Society: Global Observations of Earth's Natural Resources in the 21st Century (R L King)and other papers Readership: Graduate students and researchers in computer science and environmental science. Keywords:Remote Sensing;Change Detection;Multi-Temporal Image Analysis;Pattern Recognition;Time Series Analysis;Environmental Monitoring;Environmental Management;Natural Resources;Earth Observation

This open access book represents a comprehensive review of available land-use cover data and techniques to validate and analyze this type of spatial information. The book provides the basic theory needed to understand the progress of LUCC mapping/modeling validation practice. It makes accessible to any interested user most of the research community's methods and techniques to validate LUC maps and models. Besides, this book is enriched with practical exercises to be applied with QGIS. The book includes a description of relevant global and supra-national LUC datasets currently available. Finally, the book provides the user with all the information required to manage and download these datasets.

Remote Sensing Applications in Environmental and Earth System Sciences is a contemporary, multi-disciplinary, multi-scaling, updated, and upgraded approach of applied remote sensing in the environment. The book begins with an overview of remote sensing technology, and then explains the types of data that can be used as well as the image processing and analysis methods that can be applied to each type of application through the use of case studies throughout. Includes a wide spectrum of environmental applications and issues Explains methodological image analysis and interpretation procedures for conducting a variety of environmental analyses Discusses the development of early warning systems Covers monitoring of the environment as a whole – atmosphere, land, and water Explores the latest remote sensing systems in environmental applications This book is an excellent resource for anyone who is interested in remote sensing technologies and their use in Earth systems, natural resources, and environmental science.