Advances in Land Remote Sensing

System, Modeling, Inversion and Application

  • Shunlin Liang

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Remote Sensing Systems

  3. Physical Modeling and Inversion Algorithms

    1. Jindi Wang, Xiaowen Li
      Pages 203-217
    2. Crystal Schaaf, John Martonchik, Bernard Pinty, Yves Govaerts, Feng Gao, Alessio Lattanzio et al.
      Pages 219-243
    3. Frédéric Jacob, Thomas Schmugge, Albert Olioso, Andrew French, Dominique Courault, Kenta Ogawa et al.
      Pages 245-291
    4. Ari Vesteinsson, Henrik Aanaes, Johannes R. Sveinsson, Jon Atli Benediktsson
      Pages 293-311
    5. Wanxiao Sun, Shunlin Liang
      Pages 369-393
  4. Remote Sensing Applications

    1. Zhongxin Chen, Sen Li, Jianqiang Ren, Pan Gong, Mingwei Zhang, Limin Wang et al.
      Pages 397-421
    2. Maosheng Zhao, Steven W. Running
      Pages 423-444
    3. John R. Townshend, Stephen Briggs, Roy Gibson, Michael Hales, Paul Menzel, Brent Smith et al.
      Pages 465-483
    4. Shunlin Liang, Michael Schaepman, Thomas J. Jackson, David Jupp, Xiaowen Li, Jiyuan Liu et al.
      Pages 485-494
  5. Back Matter
    Pages 495-497

About this book


This book collects the review papers from both technical sessions and three discussion panels of the 9th International Symposium on Physical Measurements and Signatures in Remote Sensing (ISPMSRS). It systematically summarizes the past achievements and identifies the frontier issues as the research agenda for the near future. It covers all aspects of land remote sensing, from sensor systems, physical modeling, inversion algorithms, to various applications. The papers on remote sensing system evaluate the capabilities of different sensor systems for estimating key land surface variables and how they can best be improved and integrated effectively in the future. Papers on modeling and inversion review the state-of-the-art methodologies on physical modeling and the inversion algorithms for estimating a series of land surface variables. The papers on remote sensing application assess the current status of various applications and discuss how better to bridge the development of remote-sensing science and technology and practical applications. Representing the community effort and contributed by a team of international leading experts, this indispensable reference book for graduate students and practitioners of remote sensing also aids those engaged in academic research, government and industry.
Audience: Graduate students, practitioners of remote sensing through academic research, government and industry.


Assimilation Earth observation Integration Remote Sensing Vegetation modeling satellite

Editors and affiliations

  • Shunlin Liang
    • 1
  1. 1.University of MarylandCollege ParkUSA

Bibliographic information

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