Advanced Environmental Monitoring with Remote Sensing Time Series Data and R (Hardcover)

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.

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Release date:	November 2019
First published:	2020
Authors:	Alexandra Gemitzi • Nikolaos Koutsias • Venkat Lakshmi
Dimensions:	216 x 138 x 14mm (L x W x T)
Format:	Hardcover
Pages:	102
ISBN-13:	978-0-367-20527-0
Categories:	Books > Business & Economics > Industry & industrial studies > Primary industries > Agriculture & related industries
LSN:	0-367-20527-0
Barcode:	9780367205270

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