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

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发表于 2025-3-21 20:03:39 | 显示全部楼层 |阅读模式
书目名称Environmental Sensing
副标题Analytical Technique
编辑James K. Lein
视频video
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
图书封面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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书目名称Environmental Sensing读者反馈学科排名




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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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