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Advanced Environmental Monitoring with Remote Sensing Time Series Data and R eBook

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Advanced Environmental Monitoring with Remote Sensing Time Series Data and R eBook

Title
Advanced Environmental Monitoring with Remote Sensing Time Series Data and R eBook

Author
Alexandra Gemitzi,
Nikolaos Koutsias,
Venkat Lakshmi

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Hardcover
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Overview

 

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
1) Includes real-world applications of environmental remotely sensed data
2) Analyzes the advantages and restrictions of each data source
3) Focuses on a wide spectrum of applications, such as hydrology, vegetation changes, land surface temperature, fire detection, and impacts
4) Includes R computer codes with explanatory comments and all applications use only freely available remotely sensed data
5) 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.

 

Product Details

 

ISBN-13: 9780429262050
Publisher: Taylor & Francis
Publication date: 11/2019
Pages: 114
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Advanced Environmental Monitoring with Remote Sensing Time Series Data and R eBook
Price
$25.00
Language
English
Author
Alexandra Gemitzi,
Nikolaos Koutsias,
Venkat Lakshmi
ISBN-13
9780429262050
Publisher
Taylor & Francis
Publish Time
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Is Paperback available?
No
Is Hardcover available?
Yes
Hardcover
$65.00
Is Ebook available?
Yes
Ebook
$25.00
Category
Science Education

Is Paperback available?
No
Is Hardcover available?
Yes
Is Ebook available?
Yes

Overview

 

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
1) Includes real-world applications of environmental remotely sensed data
2) Analyzes the advantages and restrictions of each data source
3) Focuses on a wide spectrum of applications, such as hydrology, vegetation changes, land surface temperature, fire detection, and impacts
4) Includes R computer codes with explanatory comments and all applications use only freely available remotely sensed data
5) 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.

 

Product Details

 

ISBN-13: 9780429262050
Publisher: Taylor & Francis
Publication date: 11/2019
Pages: 114

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