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

By: Contributor(s): Material type: TextTextPublisher: Boca Raton : CRC Press, 2020Description: xi, 101 pages : illustrations ; 22 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781032475073 (pbk.)
Subject(s): DDC classification:
  • 363.7063 GEM 23 023362
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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Holdings
Item type Current library Call number Status Notes Date due Barcode
Book Book Indian Institute for Human Settlements, Bangalore 363.7063 GEM 023362 (Browse shelf(Opens below)) Available Course Reserve 023362

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"--

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