Remote Sensing Time Series Image Processing (Hb 2018) Hardcover

Remote sensing has become a vital tool for studying the Earth and managing how humans interact with the environment. The increasing demand for remote sensing and Earth observation technologies stems from their ability to monitor natural resources, respond to natural and human-induced hazards, and support the sustainability and efficiency of ecosystems. With advancements in temporal resolution and image revisit frequency, there is now the capacity to gather large volumes of imagery from specific locations, paving the way for time series analysis and near real-time evaluations of environmental changes. Remote Sensing Time Series Image Processing is a comprehensive and authoritative resource authored by leading experts in the field. It outlines the current advancements in time series image analysis and explores future possibilities. The book is structured into three sections: The first covers techniques for building time series datasets, including guidance on selecting cloud and shadow detection algorithms for various uses. The second section focuses on the extraction of features and information from time series data, introducing key remote sensing metrics and their applications in climate and ecosystem studies. The final section showcases real-world applications such as tracking land cover changes, analyzing vegetation trends, attributing disturbances, and studying urban expansion. Aimed at researchers, professionals, and students in remote sensing and imaging science, this book also serves as a valuable textbook for undergraduate and graduate courses in disciplines such as civil and electrical engineering, geography, geoscience, environmental science, land use, and GIS. It is equally useful as a reference for those working in government, industry, and academia.