This book provides a step-by-step guide on how to use various publicly-available, remotely-sensed time series data sources for environmental monitoring and assessment. Readers will learn how extract valuable information on global changes from a 20-year collection of ready-to-use remotely-sensed data through the free, open GIS and statistical software R. The case studies are from the Mediterranean region- a designated hot spot regarding climate change effects. Each chapter is dedicated to specific remote sensing products chosen for their spatial resolution. The methods used are adapted from large-scale to smaller-scale problems for different land cover areas.
Advanced Environmental Monitoring with Remote Sensing Time Series Data and R, describes and provides details on recent advances concerning publicly available remotely sensed time series data in environmental monitoring and assessment and is a must-have practical guide for environmental researches, professionals, and students.
Introduction. Environmental Application of Medium to High Resolution Remotely Sensed Data. Environmental Applications of Medium Resolution Remote Sensing Imaging. Environmental Applications of Low Resolution Remotely Sensed Data. Processing Remotely Sensed Data. Discussion and Conclusions.