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El. knyga: Big Data Analytics in Earth, Atmospheric and Ocean Sciences [Wiley Online]

Edited by (NASA Goddard Space Flight Center, USA), Edited by (NOAA Integrated Ocean Observing System, USA), Edited by (NASA Jet Propulsion Laboratory, USA)
  • Formatas: 352 pages
  • Serija: Special Publications
  • Išleidimo metai: 22-Nov-2022
  • Leidėjas: American Geophysical Union
  • ISBN-10: 1119467551
  • ISBN-13: 9781119467557
Kitos knygos pagal šią temą:
  • Wiley Online
  • Kaina: 195,60 €*
  • * this price gives unlimited concurrent access for unlimited time
  • Formatas: 352 pages
  • Serija: Special Publications
  • Išleidimo metai: 22-Nov-2022
  • Leidėjas: American Geophysical Union
  • ISBN-10: 1119467551
  • ISBN-13: 9781119467557
Kitos knygos pagal šią temą:

Big Data Analytics in Earth, Atmospheric and Ocean Sciences introduces the different aspects of big earth data analytics which include a brief introduction to big data about the Earth, an introduction to big earth data analytics, methodologies for big earth data analytics, and tools for analysis and applications in different earth science domains.

- Contributions from leading researchers in the field compiled into an advanced volume available to a new audience of students, researchers in allied disciplines in earth and environmental sciences, geography and geoinformatics
- Significant results reported through funded projects from NASA, NOAA, NSF, and other resources both nationally and internationally, for sharing with the community about the source, management, analytics, visualization, and utilization of big earth data in a variety of applications and decision supporting contexts
- Identification and discussion of the critical topics in the subject, and leading experts in the field, including non-scientists and business analysts seeking an introduction to the topic, e.g. companies moving into big earth data analysis

Big Data Analytics in Earth, Atmospheric and Ocean Sciences is a valuable resource for geoinformatics and geoscience professionals who are working on providing big earth data processing, and scientists or engineers who need big earth data processing to support their research and development.

Contributors vii

Preface xiii

1 An Introduction to Big Data Analytics 1
Erik Hoel

Part I: Big Data Analytics Architecture 29

2 Introduction to Big Data Analytics Architecture 31
Thomas Huang

3 Scaling Big Earth Science Data Systems Via Cloud Computing 35
Hook Hua, Gerald Manipon, and Sujen Shah

4 NOAA Open Data Dissemination (Formerly NOAA Big Data Project/Program) 65
Adrienne Simonson, Otis Brown, Jenny Dissen, Edward J. Kearns, Kate Szura,
and Jonathan Brannock

5 A Data Cube Architecture for Cloud-Based Earth Observation Analytics 95
Peter Wang, Robert Woodcock, Ronnie Taib, Matt Paget, and Alex Held

6 Open Source Exploratory Analysis of Big Earth Data With Nexus 115
Thomas Huang, Edward M. Armstrong, Nga T. Chung, Eamon Ford, rank R. Greguska
III, Joseph C. Jacob, Brian D. Wilson, Elizabeth Yam, and Alice Yepremyan

7 Benchmark Comparison of Cloud Analytics Methods Applied to Earth
Observations 137
Christopher Lynnes, Michael M. Little, Thomas Huang, Joseph Charles Jacob,
Chaowei Phil Yang, Mahabaleshwara Hegde, and Hailiang Zhang

Part II: Analysis Methods for Big Earth Data 153

8 Introduction to Analysis Methods for Big Earth Data 155
Christopher Lynnes

9 Spatial Statistics for Big Data Analytics in the Ocean and Atmosphere:
Perspectives, Challenges, and Opportunities 159
Kevin A. Butler and Tiffany C. Vance

10 Giving Scientists Back Their Flow: Analyzing Big Geoscience Data Sets in
the Cloud 177
Niall Robinson, Theo McCaie, Jacob Tomlinson, Alex Hilson, Tom Powell, Rachel
Prudden, Megan Fitzsimon, and Alberto Arribas

11 The Distributed Oceanographic Match-Up Service 195
Shawn R. Smith, Mark A. Bourassa, Jocelyn Elya, Thomas Huang, Kevin Michael
Gill, Frank R. Greguska III, Nga Chung, Vardis Tsontos, Benjamin Holt, Thomas
Cram, and Zaihua Ji

Part III: Big Earth Data Applications 221

12 Introduction to Big Earth Data Applications 223
Christopher Lynnes and Tiffany C. Vance

13 Topological Methods for Pattern Detection in Climate Data 227
Grzegorz Muszynski, Vitaliy Kurlin, Dmitriy Morozov, Michael Wehner, Karthik
Kashinath, and Prabhat Ram

14 Exploring Large Scale Data Analysis and Visualization for Atmospheric
Radiation Measurement Data Discovery Using NoSQL Technologies 243
Bhargavi Krishna, Kyle Dumas, and Giri Prakash

15 Demonstrating Condensed Massive Satellite Data Sets for Rapid Data
Exploration: The MODIS Land Surface Temperatures of Antarctica 259
G. E. Grant, D. W. Gallaher, and Q. Lv

16 Developing Big Data Infrastructure for Analyzing AIS Vessel Tracking Data
on a Global Scale 279
Rob Bochenek, Jessica Austin, John-Marc Dunaway, and Tiffany C. Vance

17 Future of Big Earth Data Analytics 299
Christopher Lynnes and Thomas Huang

Index 311
Thomas Huang, NASA Jet Propulsion Laboratory, USA

Tiffany C. Vance, NOAA Integrated Ocean Observing System, USA

Christopher Lynnes, NASA Goddard Space Flight Center, USA (retd.)