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Titlebook: Earth Science Satellite Remote Sensing; Vol.2: Data, Computa John J. Qu (Technical Director of EastFIRE Lab),We Book 20061st edition Spring

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书目名称Earth Science Satellite Remote Sensing
副标题Vol.2: Data, Computa
编辑John J. Qu (Technical Director of EastFIRE Lab),We
视频video
概述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 orde
图书封面Titlebook: Earth Science Satellite Remote Sensing; Vol.2: Data, Computa John J. Qu (Technical Director of EastFIRE Lab),We Book 20061st edition Spring
描述.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..
出版日期Book 20061st edition
关键词EOS; GIS; Geoinformationssysteme; NASA; NOAA; TUP; digital elevation model; remote sensing; satellite; remote
版次1
doihttps://doi.org/10.1007/978-3-540-37294-3
isbn_softcover978-3-642-42155-6
isbn_ebook978-3-540-37294-3
copyrightSpringer-Verlag Berlin Heidelberg 2006
The information of publication is updating

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Remotely Sensed Data Available from the US Geological Survey EROS Data Center,Department of the Interior. The EROS Data Center (EDC) was established in the early 1970s as the nation’s principal archive of remotely sensed data. Initially the EDC was responsible for the archive, reproduction, and distribution of black-and-white and color-infrared aerial photography acquired und
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A Simple, Scalable, Script-Based Science Processor,, led the Goddard Earth Sciences Distributed Active Archive Center (GES DAAC) to develop a contingency science processing system. Severe time and money constraints forced the GES DAAC towards a minimalist architecture that eventually becomes the Simple, Scalable, Script-based Science Processor (S4P)
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