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Earth Science Satellite Remote Sensing

Vol.2: Data, Computational Processing, and Tools

  • Book
  • © 2006

Overview

  • Provides information on the Earth science remote sensing data information and data format such as HDF-EOS, and tools
  • Evaluates the current data processing approaches
  • Introduces data searching and ordering from different public domains
  • Explores the remote sensing and GIS migration products and WebGIS applications
  • Quality full color illustrations

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Table of contents (18 chapters)

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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.

Editors and Affiliations

  • School of Computational Sciences, George Mason University, USA

    John J. Qu, Menas Kafatos

  • Natural Resource Ecology Laboratory, Colorado State University, USA

    Wei Gao

  • Center for Earth Observing and Space Research, George Mason University, USA

    Menas Kafatos

  • NASA GSFC, NPOESS Preparatory Project (NPP), NOAA, Greenbelt, USA

    Robert E. Murphy

  • NASA/Goddard Space Flight Center, Greenbelt, USA

    Vincent V. Salomonson

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