Remote sensing time series image processing

Description

Driven by the societal needs and improvements in sensor technology and image processing techniques, remote sensing has become an essential tool for understanding the Earth and managing Human-Earth interactions. Time series image analysis is emerging as a new direction in remote sensing. Methods and techniques of time series image analysis have been widely applied in topics ranging from vegetation dynamics to wetland, agricultural and range land, climate, hydrology, and urbanization. This book explores the current state of knowledge on remote sensing time series image processing and addresses all major aspects and components of time series image analysis with ample examples and applications. Read more... Abstract: Driven by the societal needs and improvements in sensor technology and image processing techniques, remote sensing has become an essential tool for understanding the Earth and managing Human-Earth interactions. Time series image analysis is emerging as a new direction in remote sensing. Methods and techniques of time series image analysis have been widely applied in topics ranging from vegetation dynamics to wetland, agricultural and range land, climate, hydrology, and urbanization. This book explores the current state of knowledge on remote sensing time series image processing and addresses all major aspects and components of time series image analysis with ample examples and applications Content: Cover Half Title Title Page Copyright Page Contents Preface Acknowledgments Editor Contributors Part I: Time Series Image/Data Generation 1. Cloud and Cloud Shadow Detection for Landsat Images: The Fundamental Basis for Analyzing Landsat Time Series 2. An Automatic System for Reconstructing High-Quality Seasonal Landsat Time Series 3. Spatiotemporal Data Fusion to Generate Synthetic High Spatial and Temporal Resolution Satellite Images Part II: Feature Development and Information Extraction 4. Phenological Inference from Times Series Remote Sensing Data 5. Time Series Analysis of Moderate Resolution Land Surface Temperatures6. Impervious Surface Estimation by Integrated Use of Landsat and MODIS Time Series in Wuhan, China Part III: Time Series Image Applications 7. Mapping Land Cover Trajectories Using Monthly MODIS Time Series from 2001 to 2010 8. Creating a Robust Reference Dataset for Large Area Time Series Disturbance Classification 9. A General Workflow for Mapping Forest Disturbance History Using Pixel Based Time Series Analysis