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空間大地測量學與對地觀測(英文版高等學校測繪工程專業系列教材)

  • 作者:編者:賀小星//余科根//馮徽徽//王奉偉|責編:劉穎維
  • 出版社:中南大學
  • ISBN:9787548760689
  • 出版日期:2024/10/01
  • 裝幀:平裝
  • 頁數:142
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內容大鋼
    本書旨在探討空間大地測量最新進展及其在地球科學領域中的應用,以及空間大地測量對地球環境觀測的貢獻。通過全面介紹空間大地測量和地球觀測的多個關鍵領域,包括GGOS、國際GNSS服務、衛星高度測量、InSAR、LiDAR等,引入人工智慧在大地測量的應用,並將其與環境與氣候變化聯繫起來,強調了大地測量在全球尺度上監測地球系統動態過程中的關鍵作用。本書對科學研究、環境監測和國際合作具有重要意義,是一本啟發性和實用性兼備的參考書籍。該書可作為研究生教材、本科生教材。

作者介紹
編者:賀小星//余科根//馮徽徽//王奉偉|責編:劉穎維

目錄
Chapter 1  Introduction to Space Geodesy
  1.1  Nature of geodesy
  1.2  Classical geodesy roles
  1.3  Modem space geodesy
  1.4  Scientific contributions of space geodesy
  1.5  Challenges of morden geodesy
Chapter 2  Space Earth Observation System
  2.1  Space earth observation
  2.2  NASA's earth observing system
  2.3  ESA earth observations
  2.4  China high-resolution earth observation system (CHEOS)
  2.5  Global geodetic observing system
  2.6  Applications of earth observation
  2.7  Earth observation for determination and maintenance of ITRF
  2.8  Visualization tool for earth observations
Chapter 3  International GNSS Service
  3.1  GNSS
  3.2  Principle of GNSS positioning
  3.3  International GNSS service (IGS)
  3.4  Mission and goals of IGS
  3.5  GNSS networks
  3.6  IGS products
  3.7  IGS data center
Chapter4  Satellite Altimetry
  4.1  Principles of satellite radar altimetry
  4.2  Error sources in sea surface height from satellite altimetry
  4.3  SA_Tool for satellite altimetry
Chapter Tide Gauge Sea Level Change
  5.1  Tide gauges
  5.2  Tide gauges for sea level change
  5.3  Sea level budget between tide gauges and satellite altimetry
Chapter 6  Land Use and Cover Change (LUCC) with Satellite Observations
  6.1  Overview of land use and cover change research
  6.2  Remote sensing monitoring methods for LUCC
  6.3  Typical land use remote sensing data products
  6.4  Application of remote sensing data in land use
Chapter 7 Application of Deep Learnning in Sea Level Prediction
     7. 1  Hybrid deep learning related theoretical methods
  7.2  Data and experiments
  7.3  Results and analysis
  7.4  Conclusion
Chapter 8  GNSS Time Series Analysis Theory
  8.1  GNSS time series processing strategies
  8.2  Seasonal signals in GNSS time series
  8.3  Tidal effect and surface mass loading effect
  8.4  Non-deterministic signal estimation
  8.5  Methodology on offset detection and estimation
  8.6  Modelling geophysical signals in cleaned GNSS time series
Chapter 9  Monitoring Droug~. from Space Geodesy
  9.1  Background

  9.2  Meteorological drought monitoring
  9.3  Hydrological drought monitoring
  9.4  Composite drought monitoring
Chapter 10  Global Navigation Satellite System Reflectometry
  10.1  Introduction
  10.2  Soil moisture estimation
  10.3  Snow depth estimation
  10.4  Forest change detection
  10.5  Sea surface wind speed estimation
  10.6  Significant wave height retrieval
  10.7  Sea surface rainfall intensity retrieval
Chapter 11  Satellite Gravity
  11.1  Introduction
  11.2  Basic principles and satellite gravity mission
  11.3  Determination of the earth's gravity field using SST
  11.4  Determination of the earth's gravity field using SGG
Chapter 12  Toolbox for Space Geodesy and Earth Observation
  12.1  NASA earth observatory
  12.2  ESA open-source software resources
  12.3  National geodetic survey GPS toolbox
  12.4  GNSS-TS-NRS for GNSS time series noise reduction
  12.5  HectorP for geodetic time series noise estimation
  12.6  MATLAB-based software for multi-satellite altimetry data analysis
Reference

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