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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 to
extract valuable information on global changes from a 20-year
collection of ready-to-use remotely sensed data through the free
open statistical software R and its geographic data analysis and
modeling tools. 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. Features Includes real-world applications of environmental
remotely sensed data Analyzes the advantages and restrictions of
each data source Focuses on a wide spectrum of applications, such
as hydrology, vegetation changes, land surface temperature, fire
detection, and impacts Includes R computer codes with explanatory
comments and all applications use only freely available remotely
sensed data Presents a step-by-step processing through open source
GIS and statistical analysis software 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. This book is a must-have practical guide for
environmental researchers, professionals, and students.
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 to
extract valuable information on global changes from a 20-year
collection of ready-to-use remotely sensed data through the free
open statistical software R and its geographic data analysis and
modeling tools. 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. Features Includes real-world applications of environmental
remotely sensed data Analyzes the advantages and restrictions of
each data source Focuses on a wide spectrum of applications, such
as hydrology, vegetation changes, land surface temperature, fire
detection, and impacts Includes R computer codes with explanatory
comments and all applications use only freely available remotely
sensed data Presents a step-by-step processing through open source
GIS and statistical analysis software 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. This book is a must-have practical guide for
environmental researchers, professionals, and students.
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