出版時間:2006-9 出版社:清華大學 作者:曲 編 頁數(shù):418
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內(nèi)容概要
木門共有兩卷。此為第1卷,包含20章,主要提供了有關(guān)中分辨串成像光譜儀(MODIS)產(chǎn)品的信息和科學應(yīng)用,介紹了美國國家極軌環(huán)境衛(wèi)系統(tǒng)(NPOESS)和NPOESS預備計劃(NPP),還探討廠其他衛(wèi)星遙感裝備和應(yīng)用。有關(guān)數(shù)據(jù)格式、數(shù)據(jù)處理、數(shù)據(jù)查詢和訂購等方面的內(nèi)容在第2卷中給出。 本卷論及美國寧航局(NSA)用于監(jiān)測和探測地球變化的主要衛(wèi)星系統(tǒng)——地球觀測系統(tǒng)(EOS),EOS包括的衛(wèi)星Terra、Aqua和Aura及其裝載的MODIS、AIRS、AMSU、AMSR-E、OMI等遙感儀器,并討論廠NPP將攜帶的4個NPOESS系統(tǒng)重要部件:可見光紅外成像輻射組件(VIIRS),航線交叉紅外探測器(CrIS),先進技術(shù)微波探測器(ATMS)以及臭氧成圖和廓線儀裝置(OMPS),可用于研究地球氣候環(huán)境和天氣變化。 本書作者均為相關(guān)領(lǐng)域具有權(quán)威性的專家與學者。圖書內(nèi)容既包括現(xiàn)代遙感技術(shù)的基礎(chǔ)知識,義涉及衛(wèi)星遙感的前沿領(lǐng)域,有廣泛的實用性,可作為遙感、地學、環(huán)境、空間信息等地球科學領(lǐng)域的專業(yè)參考書。
作者簡介
Prof. John J. Qu is a faculty member of the ESGS department at the school of Computational Sciences and is Technical Director of EastFIRE Lab at George Mason University. He is also with NASA Goddard Space Flight Center to support the NPOESS Preparatory Project (NPP) mission. His major research areas are satellite remote sensing, Earth systems science, fire science and GIS applications.
書籍目錄
List of Contributors xv1 Introduction to Science and Instruments 2 Introduction to MODIS and an Overview of Associated Activities 3 MODIS Level-lB Products 4 MODIS Geolocation 5 Introduction to MODIS Cloud Products 6 MODIS Observation of Aerosol Loading from 2000 to 2004 7 MODIS Land Products and Data Processing 8 Operational Atmospheric Correction of MODIS Visible to Middle Infrared Land Surface Data in the Case of an Infinite ambertian Target 9 MODIS Snow and Sea Ice Products 10 The NPOESS Preparatory Project 11 The Visible Infrared Imaging Radiometer Suite 12 Conically Scanned Microwave Imager Sounder 13 Advanced Technology Microwave Sounder 14 Introduction to AIRS and CrIS 15 The Ozone Mapping and Profiler Suite 16 Estimating Solar UV-B Irradiance at the Earth's Surface Using Multi-Satellite Remote Sensing Measurements 17 Surface Rain Rates from Tropical Rainfall Measuring Mission Satellite Algorithms 18 Use of Satellite Remote Sensing Data for Modeling Carbon Emissions from Fires: A 19 TRMM Fire Algorithm, Product and Applications 20 China's Current and Future Meteorological Satellite Systems Index
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