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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: Contributor(s): Publisher: Boca Raton : CRC Press, [2020]Description: xi, 101 pages : illustrations ; 22 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780367205270
Subject(s):
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'-- Provided by publisher.
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Holdings
Item type Current library Home library Collection Call number Materials specified Copy number Status Date due Barcode
AM PERPUSTAKAAN TUN SERI LANANG PERPUSTAKAAN TUN SERI LANANG KOLEKSI AM-P. TUN SERI LANANG (ARAS 5) - GE45.R44 G45 (Browse shelf(Opens below)) 1 Available 00002246278

Includes bibliographical references and index.

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.

'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'-- Provided by publisher.

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