Earth Science Satellite Remote Sensing - Vol.2: Data, Computational Processing, and Tools (Hardcover, 2006 ed.)


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.


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Product Description

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.

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Product Details

General

Imprint

Springer-Verlag

Country of origin

Germany

Release date

2007

Availability

Expected to ship within 10 - 15 working days

First published

2006

Editors

, , , ,

Dimensions

235 x 155 x 28mm (L x W x T)

Format

Hardcover

Pages

335

Edition

2006 ed.

ISBN-13

978-3-540-35630-1

Barcode

9783540356301

Categories

LSN

3-540-35630-4



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