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Titlebook: Earth Science Satellite Remote Sensing; Vol.1: Science and I 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.1: Science and I
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.1: Science and I John J. Qu (Technical Director of EastFIRE Lab),We Book 20061st edition Spring
描述.Satellite remote sensing for Earth science data has been rapidly expanding during the last decade. Volume 1 of this two volume monograph covers missions/sensors, such as Sea-viewing Wide Field-of-view Sensor (SeaWiFS), Tropical Rainfall Measuring Mission (TRMM), Total Ozone Mapping Spectrometer (TOMS), Atmospheric Infrared Sounder (AIRS), and Advanced Microwave Sounding Unit (AMSU). It also discusses the NPOESS and NPP missions. Emphasis was placed on the recently launched Moderate Resolution Imaging Spectroradiometer (MODIS) on board of both Terra and Aqua. Some key MODIS science team members were invited to contribute several chapters. The core of this monograph 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 sensingmissions..
出版日期Book 20061st edition
关键词EOS; NASA; NOAA; TUP; digital elevation model; remote sensing/photogrammetry; air pollution and air qualit
版次1
doihttps://doi.org/10.1007/978-3-540-37293-6
isbn_softcover978-3-642-42154-9
isbn_ebook978-3-540-37293-6
copyrightSpringer-Verlag Berlin Heidelberg 2006
The information of publication is updating

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Die pure Eleganz der Mathematik products developed and validated that can be used by the scientific and applications communities. The intent and purpose of this chapter is to enable the reader to understand and appreciate the power of the MODIS instrument and the associated systems and organizational approach that have led to the
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,Die Berechnung individueller Ziffern von π,igned to take measurements in a broad spectral range at three spatial resolutions and with a wide field of view. In addition to many new features, MODIS extends a number of heritage sensors’ data sets that are essential for understanding global environmental changes (.; .). Algorithms developed by t
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π-Stacked Polymers and MoleculesOS) Terra satellite and the second MODIS was launched on the polar orbiting Aqua satellite in May 2002. Each MODIS acquires daily global data in 36 spectral bands—29 with 1 km, 5 with 500 m and 2 with 250 m nadir pixels. The Terra and Aqua satellites have exterior orientation (position and attitude)
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N. N. Sheftal’,E. I. Givargizovbility to remotely infer cloud properties and their variation in space and time is crucial for establishing climatologies as a reference for validation of present-day climate models and in assessing future climate change. Remote cloud observations also provide data sets useful for testing and improv
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S. I. Radautsan,Yu. I. Maksimovkey measurements for understanding the Earth’s terrestrial ecosystems (.). Global time-series of terrestrial geophysical parameters have been produced from MODIS/Terra for over 5 years and for MODIS/Aqua for over 2.5 years. These well calibrated instruments, a team of land scientists and a large dat
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