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Remote Sensing Big Data

This monograph provides comprehensive coverage of the collection, management, and use of big data obtained from remote sensing. The book begins with an introduction to the basics of big data and remote sensing, laying the groundwork for the more specialized information to follow. The volume then goe...

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Autori principali: Di, Liping (Autore), Yu, Eugene (Autore)
Ente Autore: SpringerLink (Online service)
Natura: Elettronico eBook
Lingua:inglese
Pubblicazione: Cham : Springer International Publishing : Imprint: Springer, 2023.
Edizione:1st ed. 2023.
Serie:Springer Remote Sensing/Photogrammetry,
Soggetti:
Geographic information systems.
Big data.
Database management.
Algorithms.
Data mining.
Geographical Information System.
Big Data.
Database Management.
Data Mining and Knowledge Discovery.
Accesso online:https://doi.org/10.1007/978-3-031-33932-5
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Sommario:
  • Chapter 1: Introduction
  • Chapter 2: Remote Sensing
  • Chapter 3: Special Features of Remote Sensing Big Data
  • Chapter 4: Remote Sensing Big Data Collection Challenges and Cyberinfrastructure and Sensor Web Solutions
  • Chapter 5: Remote Sensing Big Data Computing
  • Chapter 6: Remote Sensing Big Data Management
  • Chapter 7: Standards for Big Data Management
  • Chapter 8: Implementation Examples of Big Data Management Systems for Remote Sensing
  • Chapter 9: Big Data Analytics for Remote Sensing-Concepts and standards
  • Chapter 10: Big Data Analytic Platforms
  • Chapter 11: Algorithmic Design Considerations of Big Data Analytics
  • Chapter 12: Machine learning and data mining algorithms for geospatial big data
  • Chapter 13: Modeling, prediction, and decision making based on remote sensing big data
  • Chapter 14: Examples of remote sensing applications of big data analytics-fusion of diverse earth observation data
  • Chapter 15: Examples of remote sensing applications of big data analytics-agricultural drought monitoring and forecasting
  • Chapter 16: Examples of remote sensing applications of big data analytics-land cover time series creation
  • Chapter 17: Geospatial big data initiatives in the world
  • Chapter 18: Challenges and opportunities in remote sensing big data.

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