Remote Sensing Tools for Exploration : Observing and Interpreting the Electromagnetic Spectrum (2010)

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Remote Sensing Tools for Exploration : Observing and Interpreting the Electromagnetic Spectrum (2010)

  • オンデマンド(OD/POD)版です。キャンセルは承れません。
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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 346 p.
  • 言語 ENG
  • 商品コード 9781489982575
  • DDC分類 621

Full Description

Remote Sensing from a New Perspective The idea for this book began many years ago, when I was asked to teach a course on remote sensing. Not long before that time, I had been part of the effort to develop the first database for planetary data with a common digital array format and interactive processing capabilities to correlate those data easily: the lunar consortium. All the available lunar remote sensing data were included, orbital and ground-based, ranging across the entire electromagnetic spectrum. I had used this powerful tool extensively, and, in that spirit, I was determined to create a course which covered the entire spectrum and a variety of targets. As I looked around for the equivalent of a textbook, which I was willing to pull together from several sources, I realized that available material was very heavily focused on the visual and near visual spectrum and on the Earth as a target. Even The Surveillant Science, edited by Edward Holz and published in 1973, which broke newground in having diverse articles on most of the spectrum when it was created, focused entirely on the Earth. My personal favorite, the exceedingly well written book on remote sensing by Floyd Sabins first published in 1978, covered the visual, infrared, and microwave portions of the spectrum beautifully but focused on the Earth as well. Unhindered, I developed what I called 'packets' of material for each part of the spectrum.

Contents

An Overview.- Principles of Remote Sensing.- Visible and Circumvisible Regions and Image Interpretation.- Ray Region: X-rays, Alpha Particles, Gamma-rays, Neutrons, UV.- Longwave Region: Mid to Thermal Infrared, Microwave, and Radio.- Processing Information and Data.

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