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Remote Sensing Big Data

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Cover of 'Remote Sensing Big Data'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Remote Sensing
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    Chapter 3 Special Features of Remote Sensing Big Data
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    Chapter 4 Remote Sensing Big Data Collection Challenges and Cyberinfrastructure and Sensor Web Solutions
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    Chapter 5 Remote Sensing Big Data Computing
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    Chapter 6 Remote Sensing Big Data Management
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    Chapter 7 Standards for Big Data Management
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    Chapter 8 Implementation Examples of Big Data Management Systems for Remote Sensing
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    Chapter 9 Big Data Analytics for Remote Sensing: Concepts and Standards
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    Chapter 10 Big Data Analytic Platforms
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    Chapter 11 Algorithmic Design Considerations of Big Data Analytics
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    Chapter 12 Machine Learning and Data Mining Algorithms for Geospatial Big Data
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    Chapter 13 Modeling, Prediction, and Decision Making Based on Remote Sensing Big Data
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    Chapter 14 Examples of Remote Sensing Applications of Big Data Analytics—Fusion of Diverse Earth Observation Data
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    Chapter 15 Examples of Remote Sensing Applications of Big Data Analytics—Agricultural Drought Monitoring and Forecasting
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    Chapter 16 Examples of Remote Sensing Applications of Big Data Analytics—Land Cover Time Series Creation
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    Chapter 17 Geospatial Big Data Initiatives in the World
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    Chapter 18 Challenges and Opportunities in the Remote Sensing Big Data
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Title
Remote Sensing Big Data
Published by
Springer International Publishing, August 2023
DOI 10.1007/978-3-031-33932-5
ISBNs
978-3-03-133931-8, 978-3-03-133932-5
Authors

Di, Liping, Yu, Eugene

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