About the book
Time Series Analysis is a specific way of analyzing a sequence of data points collected over an interval of time. In time series analysis, analysts record data points at consistent intervals over a set period of time rather than just recording the data points intermittently or randomly. However, this type of analysis is not solely the act of collecting data over time. This book provides a comprehensive overview of the application of Time Series Analysis for Remotely sensed data. Remote Sensing Data is massive, complex, and diverse.
This book will provide a discussion of the advanced visualization means for time series data using various geostatistical approaches and methods. Machine Learning methods include supervised and unsupervised clustering of data in addition to selected geospatial applications in the environmental Management domains, as well as in oil and gas and mining. The book will be of special interest to the broader Geomatics Community, and all those professionals dealing with Remote Sensing Data and approaches for integrating spatial and attributes data in meaningful ways, with the help of geospatial technologies.
