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Multitemporal Remote Sensing

Multitemporal Remote Sensing PDF Author: Yifang Ban
Publisher: Springer
ISBN: 331947037X
Category : Technology & Engineering
Languages : en
Pages : 445

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Book Description
Written by world renowned scientists, this book provides an excellent overview of a wide array of methods and techniques for the processing and analysis of multitemporal remotely sensed images. These methods and techniques include change detection, multitemporal data fusion, coarse-resolution time series processing, and interferometric SAR multitemporal processing, among others. A broad range of multitemporal datasets are used in their methodology demonstrations and application examples, including multispectral, hyperspectral, SAR and passive microwave data. This book features a variety of application examples covering both land and aquatic environments. Land applications include urban, agriculture, habitat disturbance, vegetation dynamics, soil moisture, land surface albedo, land surface temperature, glacier and disaster recovery. Aquatic applications include monitoring water quality, water surface areas and water fluctuation in wetland areas, spatial distribution patterns and temporal fluctuation trends of global land surface water, as well as evaluation of water quality in several coastal and marine environments. This book will help scientists, practitioners, students gain a greater understanding of how multitemporal remote sensing could be effectively used to monitor our changing planet at local, regional, and global scales.

Multitemporal Remote Sensing

Multitemporal Remote Sensing PDF Author: Yifang Ban
Publisher: Springer
ISBN: 331947037X
Category : Technology & Engineering
Languages : en
Pages : 445

View

Book Description
Written by world renowned scientists, this book provides an excellent overview of a wide array of methods and techniques for the processing and analysis of multitemporal remotely sensed images. These methods and techniques include change detection, multitemporal data fusion, coarse-resolution time series processing, and interferometric SAR multitemporal processing, among others. A broad range of multitemporal datasets are used in their methodology demonstrations and application examples, including multispectral, hyperspectral, SAR and passive microwave data. This book features a variety of application examples covering both land and aquatic environments. Land applications include urban, agriculture, habitat disturbance, vegetation dynamics, soil moisture, land surface albedo, land surface temperature, glacier and disaster recovery. Aquatic applications include monitoring water quality, water surface areas and water fluctuation in wetland areas, spatial distribution patterns and temporal fluctuation trends of global land surface water, as well as evaluation of water quality in several coastal and marine environments. This book will help scientists, practitioners, students gain a greater understanding of how multitemporal remote sensing could be effectively used to monitor our changing planet at local, regional, and global scales.

Analysis of Multi-Temporal Remote Sensing Images

Analysis of Multi-Temporal Remote Sensing Images PDF Author: Paul Smits
Publisher: World Scientific
ISBN: 981448234X
Category : Technology & Engineering
Languages : en
Pages : 404

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Book Description
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

Analysis of Multitemporal Remote Sensing Images

Analysis of Multitemporal Remote Sensing Images PDF Author: L. Bruzzone
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Analysis of Multi-Temporal Remote Sensing Images

Analysis of Multi-Temporal Remote Sensing Images PDF Author: Lorenzo Bruzzone
Publisher: World Scientific
ISBN: 981448833X
Category : Technology & Engineering
Languages : en
Pages : 456

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Book Description
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 next few years. The relevance and timeliness of this issue 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. This book brings together the methodological aspects of multi-temporal remote sensing image analysis, real applications and end-user requirements, presenting the state of the art in this field and contributing to the definition of common research priorities. Researchers and graduate students in the fields of remote sensing, image analysis, and environmental monitoring will appreciate the interdisciplinary approach thanks to the articles written by experts from different scientific communities. Contents:Image Analysis and Algorithms:Digital Change Detection Methods in Natural Ecosystem Monitoring: A Review (P Coppin et al.)Adaptive Reduction of Registration-Noise Effects in Unsupervised Change Detection (L Bruzzone & R Cossu)Image Thresholding for Landslide Detection by Genetic Programming (P L Rosin & J Hervás)Shape Change Detection by Fuzzy Measures (P C Smits & S G Dellepiane)The Use of SOM-Encoded Texture Spectrum for Change Detection (J C W Chan & K-P Chan)A Temporal Extension to Traditional Empirical Orthogonal Function Analysis (A A Nielsen et al.)Monitoring and Management of Natural Resources:Using Temporal Change of the Land Cover Spectral Signal to Improve Burnt Area Mapping (D Stroppiana & J-M Grégoire)MODIS 250m and 500m Time Series Data for Change Detection and Continuous Representation of Vegetation Characteristics (J R G Townshend et al.)Suspended Matter in the North Sea: A Multi-Temporal Analysis based on SEAWIFS Imagery in 2000 (R Pasterkamp et al.)The Use of Multi-Temporal SAR Images for Detecting Main Hydrological Parameters (M Bianchini et al.)Land-Cover Dynamics:Multi-Temporal Remote Sensing Analytical Approaches for Characterizing Landscape Change (R S Lunetta)An Application of Kalman Filtering for Monitoring Forest Growth Aided by Satellite Image Time Series (S Joyce)Fourier Decomposition of an AVHRR NDVI Time Series for Seasonal and Interannual Land Cover Change Detection (M E Jakubauskas et al.)Multi-temporal Analysis Using NOAA-pathfinder AVHRR Land Imagery for the Study of the Land Cover Dynamic in the Mediterranean Basin (J A Sobrino et al.)and other papers Readership: Researchers and academics in computer science, computer engineering, electrical and electronic engineering, and environmental science. Keywords:

Analysis of Multi-temporal Remote Sensing Images (MultiTemp), International Work Shop on

Analysis of Multi-temporal Remote Sensing Images (MultiTemp), International Work Shop on PDF Author:
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Languages : en
Pages :

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Special Issue on Analysis of Multitemporal Remote Sensing Images

Special Issue on Analysis of Multitemporal Remote Sensing Images PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 250

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Special Issue on Analysis of Multitemporal Remote Sensing Data

Special Issue on Analysis of Multitemporal Remote Sensing Data PDF Author: Francesca Bovolo
Publisher:
ISBN:
Category :
Languages : en
Pages : 283

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Advanced Methodologies for the Analysis of Multitemporal Remote-sensing Images

Advanced Methodologies for the Analysis of Multitemporal Remote-sensing Images PDF Author: Roberto Cossu
Publisher:
ISBN:
Category :
Languages : en
Pages : 164

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Comprehensive Remote Sensing

Comprehensive Remote Sensing PDF Author:
Publisher: Elsevier
ISBN: 0128032219
Category : Science
Languages : en
Pages : 3134

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Book Description
Comprehensive Remote Sensing covers all aspects of the topic, with each volume edited by well-known scientists and contributed to by frontier researchers. It is a comprehensive resource that will benefit both students and researchers who want to further their understanding in this discipline. The field of remote sensing has quadrupled in size in the past two decades, and increasingly draws in individuals working in a diverse set of disciplines ranging from geographers, oceanographers, and meteorologists, to physicists and computer scientists. Researchers from a variety of backgrounds are now accessing remote sensing data, creating an urgent need for a one-stop reference work that can comprehensively document the development of remote sensing, from the basic principles, modeling and practical algorithms, to various applications. Fully comprehensive coverage of this rapidly growing discipline, giving readers a detailed overview of all aspects of Remote Sensing principles and applications Contains ‘Layered content’, with each article beginning with the basics and then moving on to more complex concepts Ideal for advanced undergraduates and academic researchers Includes case studies that illustrate the practical application of remote sensing principles, further enhancing understanding

Proceedings of the First International Workshop on the Analysis of Multi-temporal Remote Sensing Images

Proceedings of the First International Workshop on the Analysis of Multi-temporal Remote Sensing Images PDF Author: Lorenzo Bruzzone
Publisher: World Scientific
ISBN: 9810249551
Category : Technology & Engineering
Languages : en
Pages : 440

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Book Description
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 next few years. The importance and timeliness of this issue 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. This book brings together the methodological aspects of multi-temporal remote sensing image analysis, real applications and end-user requirements, presenting the state of the art in this field and contributing to the definition of common research priorities. Researchers and graduate students in the fields of environmental monitoring, remote sensing image analysis and pattern recognition will appreciate the interdisciplinary approach thanks to the articles written by experts from different scientific communities.