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040 _aOCoLC-P
_beng
_erda
_cOCoLC-P
020 _a9780429552670
_qelectronic book
020 _a042955267X
_qelectronic book
020 _a9780429557149
_qelectronic publication
020 _a0429557140
_qelectronic publication
020 _a9780429561610
_qMobipocket electronic book
020 _a042956161X
_qMobipocket electronic book
020 _a9780429262050
_qelectronic book
020 _a0429262051
020 _z9780367205270
_qhardcover
020 _z0367205270
024 7 _a10.1201/9780429262050
_2doi
035 _a(OCoLC)1128432050
_z(OCoLC)1128890952
035 _a(OCoLC-P)1128432050
050 4 _aG70.4
_b.A48 2020
072 7 _aSCI
_x026000
_2bisacsh
072 7 _aTEC
_x010000
_2bisacsh
072 7 _aTEC
_x036000
_2bisacsh
072 7 _aRGW
_2bicssc
082 0 4 _a621.3678
_223
245 0 0 _aAdvanced Environmental Monitoring with Remote Sensing Time Series Data and R /
_cAlexandra Gemitzi, Nikolaos Koutsias, and Venkat Lakshmi.
264 1 _aBoca Raton, FL :
_bCRC Press,
_c[2020]
300 _a1 online resource (115 p.)
336 _atext
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
520 _aThis 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.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aRemote sensing.
650 0 _aTime-series analysis.
650 0 _aR (Computer program language)
650 7 _aSCIENCE / Environmental Science
_2bisacsh
650 7 _aTECHNOLOGY / Environmental Engineering & Technology
_2bisacsh
650 7 _aTECHNOLOGY / Remote Sensing
_2bisacsh
700 1 _aGemitzi, Alexandra,
_eeditor.
700 1 _aKoutsias, Nikolaos,
_eeditor.
700 1 _aLakshmi, Venkataraman,
_d1966-
_eeditor.
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9780429262050
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c127295
_d127295