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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書(shū)目名稱Earth Science Satellite Remote Sensing影響因子(影響力)




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書(shū)目名稱Earth Science Satellite Remote Sensing被引頻次學(xué)科排名




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書(shū)目名稱Earth Science Satellite Remote Sensing讀者反饋學(xué)科排名

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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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