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Titlebook: Environmental Sensing; Analytical Technique James K. Lein Textbook 2012 Springer Science+Business Media, LLC 2012

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發(fā)表于 2025-3-21 20:03:39 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Environmental Sensing
副標題Analytical Technique
編輯James K. Lein
視頻videohttp://file.papertrans.cn/313/312902/312902.mp4
概述Demonstrates that remote sensing science is affable.Highlights where and how remote sensing can make valuable contributions to the study of our environment.Represents a synopsis of the current approac
圖書封面Titlebook: Environmental Sensing; Analytical Technique James K. Lein Textbook 2012 Springer Science+Business Media, LLC 2012
描述.Remote sensing has witnessed a renaissance as new sensor systems, data collection capabilities and image processing methodologies have expanded the technological capabilities of this science into new and important applications areas. Perhaps nowhere has this trend been more evident than in the study of earth environments. Within this broad application area remote sensing has proven to be an invaluable asset supporting timely data gathering at a range of synoptic scales, facilitating the mapping of complex landscapes and?promoting the analysis of environmental process. Yet remote sensing’s contribution to the study of human/environmental interaction is scattered throughout a rich and diverse literature spanning the social and physical sciences, which frustrates access to, and the sharing of the knowledge gained through, these recent advances, and inhibits the operational use of these methods and techniques in day to day environmental practice, a recognized gap that reduces the effectiveness of environmental management programs. The objective of this book is to address this gap and provide the synthesis of method and application that is currently missing in the environmental science
出版日期Textbook 2012
版次1
doihttps://doi.org/10.1007/978-1-4614-0143-8
isbn_softcover978-1-4939-0171-5
isbn_ebook978-1-4614-0143-8
copyrightSpringer Science+Business Media, LLC 2012
The information of publication is updating

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書目名稱Environmental Sensing影響因子(影響力)學科排名




書目名稱Environmental Sensing網(wǎng)絡公開度




書目名稱Environmental Sensing網(wǎng)絡公開度學科排名




書目名稱Environmental Sensing被引頻次




書目名稱Environmental Sensing被引頻次學科排名




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書目名稱Environmental Sensing年度引用學科排名




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書目名稱Environmental Sensing讀者反饋學科排名




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Textbook 2012hods and techniques in day to day environmental practice, a recognized gap that reduces the effectiveness of environmental management programs. The objective of this book is to address this gap and provide the synthesis of method and application that is currently missing in the environmental science
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Quantitative Prediction of Toxicity of Substituted Phenols Using Deep Learning QSCR for a set of substituted phenol compounds. Both electron-releasing substituents and electron-withdrawing substituents were considered showing the impact of the electronic effect on the model establishment. The model established was highly successful in predicting cytotoxicity of new compounds.
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