Earth Science Satellite Remote Sensing

Vol. 2: Data, Computational Processing, and Tools

  • John J. Qu
  • Wei Gao
  • Menas Kafatos
  • Robert E. Murphy
  • Vincent V. Salomonson

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Patrick L. Coronado, Kelvin W. Brentzel
    Pages 52-76
  3. Xiaoxiong Xiong, William Barnes
    Pages 77-97
  4. William Barnes, Xiaoxiong Xiong, Robert Eplee, Junqiang Sun, Cheng-Hsuan Lyu
    Pages 98-119
  5. Christopher Lynnes
    Pages 146-161
  6. John Dwyer, Gail Schmidt
    Pages 162-177
  7. Louis Gonzalez, Dimitar Ouzounov, Darryl Nickless, Gregory Leptoukh
    Pages 190-201
  8. Long S. Chiu, Zhong Liu, Hualan Rui, William L. Teng
    Pages 202-219
  9. John J. Qu, Menas Kafatos, Xianjun Hao, Swarvanu Dasgupta, Kwang-Su Yang
    Pages 233-244
  10. Liping Di, Kenneth R. McDonald
    Pages 245-253
  11. Chaowei Yang, Menas Kafatos, David Wong, Ruixin Yang
    Pages 254-271
  12. Ruixin Yang, Kwang-Su Yang, Jiang Tang, John Qu, Menas Kafatos
    Pages 272-291
  13. Wei Gao, Zhiqiang Gao, Xiaoling Pan, James Slusser, Hamid Yimit, Yingjun Ma
    Pages 292-305
  14. Back Matter
    Pages 306-335

About this book


Earth science satellite remote sensing has been rapidly expanding during the last decade. Volume 2 of this two volume monograph provides information on the Earth science remote sensing data information and data format such as HDF-EOS, and tools. It evaluates the current data processing approaches and introduces data searching and ordering from different public domains. Further it explores the remote sensing and GIS migration products and WebGIS applications. The core of this book arose from the workshop for Earth Science Satellite Remote Sensing held at George Mason University (GMU) in October 2002. Both volumes are designed to give scientists and graduate students with limited remote sensing background a thorough introduction to current and future NASA, NOAA and other Earth science remote sensing.


EOS GIS Geoinformationssysteme NASA NOAA TUP digital elevation model remote sensing satellite

Editors and affiliations

  • John J. Qu
    • 1
  • Wei Gao
    • 2
  • Menas Kafatos
    • 3
    • 4
  • Robert E. Murphy
    • 5
  • Vincent V. Salomonson
    • 6
  1. 1.School of Computational SciencesGeorge Mason UniversityUSA
  2. 2.Natural Resource Ecology LaboratoryColorado State UniversityUSA
  3. 3.Center for Earth Observing and Space ResearchGeorge Mason UniversityUSA
  4. 4.School of Computational SciencesGeorge Mason UniversityUSA
  5. 5.NASA GSFCNPOESS Preparatory Project (NPP), NOAAGreenbeltUSA
  6. 6.NASA/Goddard Space Flight CenterGreenbeltUSA

Bibliographic information

  • DOI
  • Copyright Information Tsinghua University Press, Beijing and Springer-Verlag GmbH Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Earth and Environmental Science
  • Print ISBN 978-3-540-35630-1
  • Online ISBN 978-3-540-37294-3
  • About this book