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Advances in Land Remote Sensing

System, Modeling, Inversion and Application

  • Book
  • © 2008

Overview

Editors:
  1. Shunlin Liang

    1. University of Maryland, College Park, USA

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  • Comprehensive reviews of the state-of-the-art land remote sensing
  • Bridging the research areas from system development to modelling, inversion and application
  • Summarizes past achievements and provides an outlook to the future

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Table of contents (19 chapters)

  1. Front Matter

    Pages i-xxi
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  3. Physical Modeling and Inversion Algorithms

    1. Modeling the Spectral Signature of Forests: Application of Remote Sensing Models to Coniferous Canopies

      • Pauline Stenberg, Matti Mõttus, Miina Rautiainen
      Pages 147-171

    2. Estimating Canopy Characteristics from Remote Sensing Observations: Review of Methods and Associated Problems

      • Frédéric Baret, Samuel Buis
      Pages 173-201

    3. Knowledge Database and Inversion

      • Jindi Wang, Xiaowen Li
      Pages 203-217

    4. Retrieval of Surface Albedo from Satellite Sensors

      • Crystal Schaaf, John Martonchik, Bernard Pinty, Yves Govaerts, Feng Gao, Alessio Lattanzio et al.
      Pages 219-243

    5. Modeling and Inversion in Thermal Infrared Remote Sensing over Vegetated Land Surfaces

      • Frédéric Jacob, Thomas Schmugge, Albert Olioso, Andrew French, Dominique Courault, Kenta Ogawa et al.
      Pages 245-291

    6. Spectrally Consistent Pansharpening

      • Ari Vesteinsson, Henrik Aanaes, Johannes R. Sveinsson, Jon Atli Benediktsson
      Pages 293-311

    7. Data Assimilation Methods for Land Surface Variable Estimation

      • Shunlin Liang, Jun Qin
      Pages 313-339

    8. Methodologies for Mapping Land Cover/Land Use and its Change

      • Nina Siu-Ngan Lam
      Pages 341-367

    9. Methodologies for Mapping Plant Functional Types

      • Wanxiao Sun, Shunlin Liang
      Pages 369-393

  4. Remote Sensing Applications

    1. Monitoring and Management of Agriculture with Remote Sensing

      • Zhongxin Chen, Sen Li, Jianqiang Ren, Pan Gong, Mingwei Zhang, Limin Wang et al.
      Pages 397-421

    2. Remote Sensing of Terrestrial Primary Production and Carbon Cycle

      • Maosheng Zhao, Steven W. Running
      Pages 423-444

    3. Applications of Terrestrial Remote Sensing to Climate Modeling

      • Robert E. Dickinson
      Pages 445-463

    4. Improving the Utilization of Remotely Sensed Data

      • John R. Townshend, Stephen Briggs, Roy Gibson, Michael Hales, Paul Menzel, Brent Smith et al.
      Pages 465-483

    5. Emerging Issues in Land Remote Sensing

      • Shunlin Liang, Michael Schaepman, Thomas J. Jackson, David Jupp, Xiaowen Li, Jiyuan Liu et al.
      Pages 485-494
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Keywords

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.

Editors and Affiliations

  • University of Maryland, College Park, USA

    Shunlin Liang

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