Muutke küpsiste eelistusi

E-raamat: Geodetic Time Series Analysis in Earth Sciences

  • Formaat: EPUB+DRM
  • Sari: Springer Geophysics
  • Ilmumisaeg: 16-Aug-2019
  • Kirjastus: Springer Nature Switzerland AG
  • Keel: eng
  • ISBN-13: 9783030217181
  • Formaat - EPUB+DRM
  • Hind: 162,40 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
  • Formaat: EPUB+DRM
  • Sari: Springer Geophysics
  • Ilmumisaeg: 16-Aug-2019
  • Kirjastus: Springer Nature Switzerland AG
  • Keel: eng
  • ISBN-13: 9783030217181

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

This book provides an essential appraisal of the recent advances in technologies, mathematical models and computational software used by those working with geodetic data. It explains the latest methods in processing and analyzing geodetic time series data from various space missions (i.e. GNSS, GRACE) and other technologies (i.e. tide gauges), using the most recent mathematical models. The book provides practical examples of how to apply these models to estimate seal level rise as well as rapid and evolving land motion changes due to gravity (ice sheet loss) and earthquakes respectively. It also provides a necessary overview of geodetic software and where to obtain them.

1 The Art and Science of Trajectory Modelling
1(28)
Michael Bevis
Jonathan Bedford
Dana J. Caccamise II
2 Introduction to Geodetic Time Series Analysis
29(24)
Machiel S. Bos
Jean-Philippe Montillet
Simon D. P. Williams
Rui M. S. Fernandes
3 Markov Chain Monte Carlo and the Application to Geodetic Time Series Analysis
53(86)
German Olivares-Pulido
Felix Norman Teferle
Addisu Hunegnaw
4 Introduction to Dynamic Linear Models for Time Series Analysis
139(18)
Marko Laine
5 Fast Statistical Approaches to Geodetic Time Series Analysis
157(28)
Michael A. Floyd
Thomas A. Herring
6 Least Squares Contribution to Geodetic Time Series Analysis
185(26)
Alireza Amiri-Simkooei
7 Modelling the GNSS Time Series: Different Approaches to Extract Seasonal Signals
211(28)
Anna Klos
Janusz Bogusz
Machiel S. Bos
Marta Gruszczynska
8 Stochastic Modelling of Geophysical Signal Constituents Within a Kalman Filter Framework
239(22)
Olga Engels
9 Filtering of GPS Time Series Using Geophysical Models and Common Mode Error Analysis
261(18)
Xiaoxing He
Jean-Philippe Montillet
Machiel S. Bos
Rui M. S. Fernandes
Weiping Jiang
Kegen Yu
10 Comparison of Spacewise and Timewise Methods for GRACE Gravity Field Recovery
279(38)
Neda Darbeheshti
Florian Woske
Matthias Weigelt
Hu Wu
Christopher Mccullough
11 Estimation of the Vertical Land Motion from GNSS Time Series and Application in Quantifying Sea-Level Rise
317(28)
Jean-Philippe Montillet
Machiel S. Bos
Timothy I. Melbourne
Simon D. P. Williams
Rui M. S. Fernandes
Walter M. Szeliga
12 Time Series Analysis of Rapid GNSS Measurements for Quasi-static and Dynamic Bridge Monitoring
345(74)
Gethin Wyn Roberts
Xiaolin Meng
Panos Psimoulis
Christopher J. Brown
13 Conclusions and Future Challenges in Geodetic Time Series Analysis
419
Jean-Philippe Montillet
Machiel S. Bos