Remote Sensing Time Series Image Processing

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.

Part I: Time Series Image/Data Generation 1. Cloud and Cloud Shadow Detection for Landsat Images: The Fundamental Basis for Analyzing Landsat Time Series [Zhe Zhu, Shi Qiu, Binbin He, and Chengbin Deng] 2. An Automatic System for Reconstructing High-Quality Seasonal Landsat Time Series [Xiaolin Zhu, Eileen H. Helmer, Jin Chen, and Desheng Liu] 3. Spatiotemporal Data Fusion to Generate Synthetic High Spatial and Temporal Resolution Satellite Images [Jin Chen, Yuhan Rao, and Xiaolin Zhu] Part II: Feature Development and Information Extraction 4. Phenological Inference from Times Series Remote Sensing Data [Iryna Dronova and Lu Liang] 5. Time Series Analysis of Moderate Resolution Land Surface Temperatures [Benjamin Bechtel and Panagiotis Sismanidis] 6. Impervious Surface Estimation by Integrated Use of Landsat and MODIS Time Series in Wuhan, China [Zhang Lei and Qihao Weng] Part III: Time Series Image Applications 7. Mapping Land Cover Trajectories Using Monthly MODIS Time Series from 2001 to 2010 [Shanshan Cai and Desheng Liu] 8. Creating a Robust Reference Dataset for Large Area Time Series Disturbance Classification [Mariela Soto-Berelov, Andrew Haywood, Simon Jones, Samuel Hislop, and Trung H. Nguyen] 9. A General Workflow for Mapping Forest Disturbance History Using Pixel Based Time Series Analysis [Feng Zhao and Chengquan Huang] 10. Monitoring Annual Vegetated Land Loss to Urbanization with Landsat Archive: A Case Study in Shanghai, China [Qingling Zhang and Bhartendu Pandey]