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Author:
Publisher:
ISBN:
Category : Hygrometry
Languages : en
Pages : 24
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Book Description
Author:
Publisher:
ISBN:
Category : Hygrometry
Languages : en
Pages : 24
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Book Description
Author: Laboratory for Atmospheres (Goddard Space Flight Center)
Publisher:
ISBN:
Category : Atmosphere
Languages : en
Pages : 208
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Author:
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ISBN:
Category : Artificial satellites in earth sciences
Languages : en
Pages : 368
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Book Description
Author: John J. Qu
Publisher: Springer Science & Business Media
ISBN: 3540372938
Category : Technology & Engineering
Languages : en
Pages : 445
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Book Description
This book provides information on the Earth science remote sensing data information and data format such as HDF-EOS. It evaluates the current data processing approaches and introduces data searching and ordering from different public domains. It further explores the remote sensing and GIS migration products and WebGIS applications. Both volumes are designed to give an introduction to current and future NASA, NOAA and other Earth science remote sensing.
Author:
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ISBN:
Category : Artificial satellites in earth sciences
Languages : en
Pages : 272
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Author:
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ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Farhad Nejadkoorki
Publisher: BoD – Books on Demand
ISBN: 9533075112
Category : Technology & Engineering
Languages : en
Pages : 598
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Book Description
Leading air quality professionals describe different aspects of air pollution. The book presents information on four broad areas of interest in the air pollution field; the air pollution monitoring; air quality modeling; the GIS techniques to manage air quality; the new approaches to manage air quality. This book fulfills the need on the latest concepts of air pollution science and provides comprehensive information on all relevant components relating to air pollution issues in urban areas and industries. The book is suitable for a variety of scientists who wish to follow application of the theory in practice in air pollution. Known for its broad case studies, the book emphasizes an insightful of the connection between sources and control of air pollution, rather than being a simple manual on the subject.
Author: C.H. Chen
Publisher: CRC Press
ISBN: 1040031250
Category : Technology & Engineering
Languages : en
Pages : 433
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Book Description
Advances in signal and image processing for remote sensing have been tremendous in recent years. The progress has been particularly significant with the use of deep learning based techniques to solve remote sensing problems. These advancements are the focus of this third edition of Signal and Image Processing for Remote Sensing. It emphasizes the use of machine learning approaches for the extraction of remote sensing information. Other topics include change detection in remote sensing and compressed sensing. With 19 new chapters written by world leaders in the field, this book provides an authoritative examination and offers a unique point of view on signal and image processing. Features Includes all new content and does not replace the previous edition Covers machine learning approaches in both signal and image processing for remote sensing Studies deep learning methods for remote sensing information extraction that is found in other books Explains SAR, microwave, seismic, GPR, and hyperspectral sensors and all sensors considered Discusses improved pattern classification approaches and compressed sensing approaches Provides ample examples of each aspect of both signal and image processing This book is intended for university academics, researchers, postgraduate students, industry, and government professionals who use remote sensing and its applications.
Author: Pallavi Saxena
Publisher: CABI
ISBN: 1786393891
Category : Technology & Engineering
Languages : en
Pages : 234
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Book Description
Anthropogenic sources of air pollution / Chinmay Mallik, Max Planck -- Biogenic sources of air pollution: / Harpreet Kaur and Ruchi Kumari -- Transport of air pollutants / Naveen Chandra and Vineet Goswami -- Methods for measurement of air pollutants / S. Tiwari and N. Mishra -- Air pollution modelling apects, an overview / Monojit Chakraborty, Sangeeta Bansal, Renu Masiwal, Amit Awasthi -- Indices used for assessment of air quality / Prashant Rajput, Gyanesh Kumar Singh and Tarun Gupta -- Impact of air pollution on the environment and economy / Saurabh Sonwani and Vandana Maurya -- Effects of air pollution on human health / Priyanka Kulshrestha -- Air pollution in mega cities / Arti Choudhary, Manisha Gaur and Anuradha Shukla -- Cost effective technologies used to curb air pollution / Ravi Singh1and Saumya Singh -- Chemical and isotopic characterization of atmospheric contaminants / Vineet Goswami and Naveen Chandra -- Air pollution control by policies and laws / Ruchi Singh and Amit Kumar
Author: C.H. Chen
Publisher: CRC Press
ISBN: 143985596X
Category : Technology & Engineering
Languages : en
Pages : 623
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Book Description
Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the most up-to-date signal and image processing methods for dealing with remote sensing problems. Although most data from satellites are in image form, signal processing can contribute significantly in extracting information from remotely sensed waveforms or time series data. This book combines both, providing a unique balance between the role of signal processing and image processing. Featuring contributions from worldwide experts, this book continues to emphasize mathematical approaches. Not limited to satellite data, it also considers signals and images from hydroacoustic, seismic, microwave, and other sensors. Chapters cover important topics in signal and image processing and discuss techniques for dealing with remote sensing problems. Each chapter offers an introduction to the topic before delving into research results, making the book accessible to a broad audience. This second edition reflects the considerable advances that have occurred in the field, with 23 of 27 chapters being new or entirely rewritten. Coverage includes new mathematical developments such as compressive sensing, empirical mode decomposition, and sparse representation, as well as new component analysis methods such as non-negative matrix and tensor factorization. The book also presents new experimental results on SAR and hyperspectral image processing. The emphasis is on mathematical techniques that will far outlast the rapidly changing sensor, software, and hardware technologies. Written for industrial and academic researchers and graduate students alike, this book helps readers connect the "dots" in image and signal processing. New in This Edition The second edition includes four chapters from the first edition, plus 23 new or entirely rewritten chapters, and 190 new figures. New topics covered include: Compressive sensing The mixed pixel problem with hyperspectral images Hyperspectral image (HSI) target detection and classification based on sparse representation An ISAR technique for refocusing moving targets in SAR images Empirical mode decomposition for signal processing Feature extraction for classification of remote sensing signals and images Active learning methods in classification of remote sensing images Signal subspace identification of hyperspectral data Wavelet-based multi/hyperspectral image restoration and fusion The second edition is not intended to replace the first edition entirely and readers are encouraged to read both editions of the book for a more complete picture of signal and image processing in remote sensing. See Signal and Image Processing for Remote Sensing (CRC Press 2006).
