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Κανονική προβολή Προβολή MARC Προβολή ISBD

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

Κατά: Συντελεστής(ές): Τύπος υλικού: ΚείμενοΚείμενοΓλώσσα: Αγγλικά Λεπτομέρειες δημοσίευσης: Boca Raton ; Lonndon ; CRC Press, 2020.Περιγραφή: ix, 101 σ. : εικ. ; 24 εκISBN:
  • 9780367205270
Θέμα(τα): Ταξινόμηση DDC:
  • 628.028 7 23
Περιεχόμενα:
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.
Περίληψη: "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"--
Αντίτυπα
Τύπος τεκμηρίου Τρέχουσα βιβλιοθήκη Ταξιθετικός αριθμός Αριθμός αντιτύπου Κατάσταση Ημερομηνία λήξης Ραβδοκώδικας
Book [21] Book [21] ΒΚΠ - Αγρίνιο Βασική Συλλογή 628.028 7 GEM (Περιήγηση στο ράφι(Άνοιγμα παρακάτω)) 1 Διαθέσιμο 025000267764

Περιλαμβάνει βιβλιογραφικές παραπομπές και ευρετήριο.

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"--

Πανεπιστήμιο Πατρών, Βιβλιοθήκη & Κέντρο Πληροφόρησης, 265 04, Πάτρα
Τηλ: 2610969621, Φόρμα επικοινωνίας
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