- 空间大地测量学与对地观测(英文版高等学校测绘工程专业系列教材)
- - 作者：编者:贺小星//余科根//冯徽徽//王奉伟|责编:刘颖维
  - 出版社：中南大学
  - ISBN：9787548760689
  - 出版日期：2024/10/01
  - 页数：142
- 售价：23.2

内容大纲
本书旨在探讨空间大地测量最新进展及其在地球科学领域中的应用，以及空间大地测量对地球环境观测的贡献。通过全面介绍空间大地测量和地球观测的多个关键领域，包括GGOS、国际GNSS服务、卫星高度测量、InSAR、LiDAR等，引入人工智能在大地测量的应用，并将其与环境与气候变化联系起来，强调了大地测量在全球尺度上监测地球系统动态过程中的关键作用。本书对科学研究、环境监测和国际合作具有重要意义，是一本启发性和实用性兼备的参考书籍。该书可作为研究生教材、本科生教材。
作者介绍
目录
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

内容大纲

作者介绍

目录

同类热销排行榜

推荐书目