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Advanced environmental monitoring with remote sensing time series data and R / authored by Alexandra Gemitzi, Nikolaos Koutsias, and Venkat Lakshmi.

By: Gemitzi, Alexandra [author.]Contributor(s): Koutsias, Nikolaos [author.] | Lakshmi, Venkataraman, 1966- [author.]Material type: Text

TextPublication details: Boca Raton, FL. : CRC Press, 2020Description: xi, 101p.: ill.' col.; 23 cmISBN: 9780367205270Subject(s): Environmental monitoring -- Remote sensing | Remote sensing -- Data processing | Time-series analysis -- Data processing | R (Computer program language) | Environmental monitoring -- Mediterranean Region -- Remote sensing -- Case studiesDDC classification: 363.7/063 LOC classification: G 70 | .4G46 2020

Contents:

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.

Summary: "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"--

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Item type	Current library	Call number	Status	Date due	Barcode
Hard Covered Materials	MACHAKOS UNIVERSITY LIBRARY Open shelf	G 70 .4G46 2020 (Browse shelf (Opens below))	Available		39712

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Previous	G70.212 .M34 2023 GIS : an introduction to mapping technologies /	G 70.217 .B65 2008 GSI Fundamentals:	G 70.3 .G74 1987 Statistical methods and the geographer /	G 70 .4G46 2020 Advanced environmental monitoring with remote sensing time series data and R /	G 73 .G47 2014 Teaching Geography /	G 73 .Q47 2014 Teaching Geography /	G76.5 .A33M5 1984 A geography of Africa	Next

Includes Biblio. Ref. and index.

"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"--

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