Download or read book Advanced Analysis Techniques and Deep Learning for Atmospheric Measurements written by Lenard Lukas Röder and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work explores a wide range of data analysis and signal processing methods for different possible applications in atmospheric measurements. While these methods and applications span a wide area of disciplines, the evaluation of applicability and limitations and the results of this evaluation show many similarities. In the first study, a new framework for the temporal characterization of airborne atmospheric measurement instruments is provided. Allan-Werle-plots are applied to quantify dominant noise structures present in the time series. Their effects on the drift correction capabilities and measurement uncertainty estimation can be evaluated via simulation. This framework is applied to test flights of an airborne field campaign and reveals an appropriate interval between calibration measurements of 30 minutes. During ground operation, the drift correction is able to reduce the measurement uncertainty from 1.1% to 0.2 %. Additional short-term disturbances during airborne operation increase the measurement uncertainty to 1.5 %. In the second study, the applicability and limitations of several noise reduction methods are tested for different background characteristics. The increase in signal-noiseratio and the added bias strongly depend on the background structure. Individual regions of applicability show almost no overlap for the different noise reduction methods. In the third study, a fast and versatile Bayesian method called sequential Monte Carlo filter is explored for several applications in atmospheric field experiments. This algorithm combines information provided via the measurements with prior information from the dominant chemical reactions. Under most conditions the method shows potential for precision enhancement, data coverage increase and extrapolation. Limitations are observed that can be analyzed via the entropy measure and improvements are achieved via the extension by an additional activity parameter. In the final study, state-of-the-art neural network architectures and appropriate data representations are used to reduce the effect of interference fringes in absorption spectroscopy. Using the neural network models as an alternative to linear fitting yields a large bias which renders the model approach not applicable. On the task of background interpolation the neural network approach shows robust de-noising behavior and is shown to be transferable to a different absorption spectrometer setup. Application of the interpolation to the test set lowers the detection limit by 52%. This work highlights the importance of in-depth analysis of the effects and limitations of advanced data analysis techniques to prevent biases and data artifacts and to determine the expected data quality improvements. An elaboration of the limitations is particularly important for deep learning applications. All presented studies show great potential for further applications in atmospheric measurements.
Download or read book New Tools for Atmospheric Chemistry Utilizing Machine Learning on Field Measurements written by Mitchell Paul Krawiec-Thayer and published by . This book was released on 2018 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt: Atmospheric chemistry and meteorological measurements produce large heterogeneous datasets that capture complex physical phenomena. Many of the models and analyses carried out on these data fundamentally consist of pattern recognition, regression, and classification tasks. Such activities are extremely amenable to improvement and/or automation with machine learning. My thesis details new machine learning-based tools that I developed during the analysis of measurements collected by the Keutsch group during our field campaigns in Finland, Brazil, and the western United States. Large collaborative datasets inevitably include some times during which not all instruments' measurements are available (due to calibration/zeroing periods, maintenance, etc), and these gaps must be addressed prior to any model or analysis that requires continuous inputs. I discuss the development of several multivariate imputation methods that fill gaps in one data source based on information learned from the other measurements recorded simultaneously. This approach is demonstrated on both ground and flight data using techniques such as lazy learners, regression learners, and artificial neural networks. The concentrations of chemical pollutants near the ground depend on the dynamic height of the lowest layer of the atmosphere. My thesis describes a new method for robust identification of atmospheric structure through novel application of cluster evaluation measures. Finally, I combine this structural information with the chemical measurements to emulate spatial variability in retrievals from satellite instruments.
Download or read book Clouds and Climate written by A. Pier Siebesma and published by Cambridge University Press. This book was released on 2020-08-20 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive overview of research on clouds and their role in our present and future climate, for advanced students and researchers.
Download or read book Tropical Cyclone Intensity Analysis Using Satellite Data written by Vernon F. Dvorak and published by . This book was released on 1984 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Big Data Analytics in Earth Atmospheric and Ocean Sciences written by Thomas Huang and published by John Wiley & Sons. This book was released on 2022-10-14 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applying tools for data analysis to the rapidly increasing volume of data about the Earth An ever-increasing volume of Earth data is being gathered. These data are “big” not only in size but also in their complexity, different formats, and varied scientific disciplines. As such, big data are disrupting traditional research. New methods and platforms, such as the cloud, are tackling these new challenges. Big Data Analytics in Earth, Atmospheric, and Ocean Sciences explores new tools for the analysis and display of the rapidly increasing volume of data about the Earth. Volume highlights include: An introduction to the breadth of big earth data analytics Architectures developed to support big earth data analytics Different analysis and statistical methods for big earth data Current applications of analytics to Earth science data Challenges to fully implementing big data analytics The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals. Find out more in this Q&A with the editors.
Download or read book Deep Learning for the Earth Sciences written by Gustau Camps-Valls and published by John Wiley & Sons. This book was released on 2021-08-16 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices Deep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the link between deep learning and Earth sciences has only recently entered academic curricula and thus has not yet proliferated. Deep Learning for the Earth Sciences delivers a unique perspective and treatment of the concepts, skills, and practices necessary to quickly become familiar with the application of deep learning techniques to the Earth sciences. The book prepares readers to be ready to use the technologies and principles described in their own research. The distinguished editors have also included resources that explain and provide new ideas and recommendations for new research especially useful to those involved in advanced research education or those seeking PhD thesis orientations. Readers will also benefit from the inclusion of: An introduction to deep learning for classification purposes, including advances in image segmentation and encoding priors, anomaly detection and target detection, and domain adaptation An exploration of learning representations and unsupervised deep learning, including deep learning image fusion, image retrieval, and matching and co-registration Practical discussions of regression, fitting, parameter retrieval, forecasting and interpolation An examination of physics-aware deep learning models, including emulation of complex codes and model parametrizations Perfect for PhD students and researchers in the fields of geosciences, image processing, remote sensing, electrical engineering and computer science, and machine learning, Deep Learning for the Earth Sciences will also earn a place in the libraries of machine learning and pattern recognition researchers, engineers, and scientists.
Download or read book Eddy Covariance Method For Scientific Regulatory and Commercial Applications written by George Burba and published by LI-COR Biosciences. This book was released on 2022-09-06 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: Eddy covariance method is a modern high-precision technique for direct measurements of the movement of gases, water vapor, heat, and momentum between the surface and the atmosphere. It is used for measurements of carbon sequestration and emission rates in natural, agricultural, industrial, and urban environments, atmospheric exchange rates of greenhouse gases, direct measurements of evapotranspirative water loss, heat exchange, turbulence rates, and momentum fluxes. The wide range of applications includes numerous fundamental and applied sciences, regulatory and industrial monitoring, multiple aspects of agricultural management, as well as carbon trading and offsets, corporate sustainability and neutrality, among many others. The book “Eddy Covariance Method for Scientific, Regulatory, and Commercial Applications” has been created to familiarize the reader with the general theoretical principles, requirements, applications, planning, processing, and analysis steps of the eddy covariance method. It is intended to assist readers in furthering their understanding of the method and provide references such as academic textbooks, flux network guidelines, and journal papers. In particular, it is designed to help scientific, industrial, agricultural, and regulatory projects and monitoring programs with experiment design and field deployment of the eddy covariance method. Some of the topics covered in “Eddy Covariance Method for Scientific, Regulatory, and Commercial Applications” include: · Overview of eddy covariance principles · Planning and design of an eddy covariance experiment · Implementation of an eddy covariance experiment · Processing and analysis of eddy covariance data · Networking multiple flux stations · Alternative flux methods · Useful resources, training and knowledge base · Example of planning, design and implementation of a comprehensive automated flux station
Download or read book Big Data for Remote Sensing Visualization Analysis and Interpretation written by Nilanjan Dey and published by Springer. This book was released on 2018-05-23 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science. Remote sensing is considered a significant information source for monitoring and mapping natural and man-made land through the development of sensor resolutions that committed different Earth observation platforms. The book includes related topics for the different systems, models, and approaches used in the visualization of remote sensing images. It offers flexible and sophisticated solutions for removing uncertainty from the satellite data. It introduces real time big data analytics to derive intelligence systems in enterprise earth science applications. Furthermore, the book integrates statistical concepts with computer-based geographic information systems (GIS). It focuses on image processing techniques for observing data together with uncertainty information raised by spectral, spatial, and positional accuracy of GPS data. The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes. Highlights on the advanced improvement models of the supervised/unsupervised classification algorithms, support vector machines, artificial neural networks, fuzzy logic, decision-making algorithms, and Time Series Model and Forecasting are addressed. This book guides engineers, designers, and researchers to exploit the intrinsic design remote sensing systems. The book gathers remarkable material from an international experts' panel to guide the readers during the development of earth big data analytics and their challenges.
Download or read book Machine Learning with SVM and Other Kernel Methods written by K.P. Soman and published by PHI Learning Pvt. Ltd.. This book was released on 2009-02-02 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: Support vector machines (SVMs) represent a breakthrough in the theory of learning systems. It is a new generation of learning algorithms based on recent advances in statistical learning theory. Designed for the undergraduate students of computer science and engineering, this book provides a comprehensive introduction to the state-of-the-art algorithm and techniques in this field. It covers most of the well known algorithms supplemented with code and data. One Class, Multiclass and hierarchical SVMs are included which will help the students to solve any pattern classification problems with ease and that too in Excel. KEY FEATURES Extensive coverage of Lagrangian duality and iterative methods for optimization Separate chapters on kernel based spectral clustering, text mining, and other applications in computational linguistics and speech processing A chapter on latest sequential minimization algorithms and its modifications to do online learning Step-by-step method of solving the SVM based classification problem in Excel. Kernel versions of PCA, CCA and ICA The CD accompanying the book includes animations on solving SVM training problem in Microsoft EXCEL and by using SVMLight software . In addition, Matlab codes are given for all the formulations of SVM along with the data sets mentioned in the exercise section of each chapter.
Download or read book Clouds and Their Climatic Impact written by Sylvia Sullivan and published by John Wiley & Sons. This book was released on 2023-12-19 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clouds and Their Climatic Impacts Clouds are an influential and complex element of Earth’s climate system. They evolve rapidly in time and exist over small spatial scales, but also affect global radiative balance and large-scale circulations. With more powerful models and extensive observations now at our disposal, the climate impact of clouds is receiving ever more research attention. Clouds and Their Climatic Impacts: Radiation, Circulation, and Precipitation presents an overview of our current understanding on various types of clouds and cloud systems and their multifaceted role in the radiative budget, circulation patterns, and rainfall. Volume highlights include: Interactions of aerosol with both liquid and ice clouds Surface and atmospheric cloud radiative feedbacks and effects Arctic, extratropical, and tropical clouds Cloud-circulation coupling at global, meso, and micro scales Precipitation efficiency, phase, and measurements The role of machine learning in understanding clouds and climate The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.
Download or read book The SAGE Handbook of Remote Sensing written by Timothy A Warner and published by SAGE. This book was released on 2009-06-18 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: ′A magnificent achievement. A who′s who of contemporary remote sensing have produced an engaging, wide-ranging and scholarly review of the field in just one volume′ - Professor Paul Curran, Vice-Chancellor, Bournemouth University Remote Sensing acquires and interprets small or large-scale data about the Earth from a distance. Using a wide range of spatial, spectral, temporal, and radiometric scales Remote Sensing is a large and diverse field for which this Handbook will be the key research reference. Organized in four key sections: • Interactions of Electromagnetic Radiation with the Terrestrial Environment: chapters on Visible, Near-IR and Shortwave IR; Middle IR (3-5 micrometers); Thermal IR ; Microwave • Digital sensors and Image Characteristics: chapters on Sensor Technology; Coarse Spatial Resolution Optical Sensors ; Medium Spatial Resolution Optical Sensors; Fine Spatial Resolution Optical Sensors; Video Imaging and Multispectral Digital Photography; Hyperspectral Sensors; Radar and Passive Microwave Sensors; Lidar • Remote Sensing Analysis - Design and Implementation: chapters on Image Pre-Processing; Ground Data Collection; Integration with GIS; Quantitative Models in Remote Sensing; Validation and accuracy assessment; • Remote Sensing Analysis - Applications: LITHOSPHERIC SCIENCES: chapters on Topography; Geology; Soils; PLANT SCIENCES: Vegetation; Agriculture; HYDROSPHERIC and CRYSOPHERIC SCIENCES: Hydrosphere: Fresh and Ocean Water; Cryosphere; GLOBAL CHANGE AND HUMAN ENVIRONMENTS: Earth Systems; Human Environments & Links to the Social Sciences; Real Time Monitoring Systems and Disaster Management; Land Cover Change Illustrated throughout, an essential resource for the analysis of remotely sensed data, the SAGE Handbook of Remote Sensing provides researchers with a definitive statement of the core concepts and methodologies in the discipline.
Download or read book Machine Learning for Spatial Environmental Data written by Mikhail Kanevski and published by EPFL Press. This book was released on 2009-06-09 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Acompanyament de CD-RM conté MLO software, la guia d'MLO (pdf) i exemples de dades.
Download or read book Machine Vision and Augmented Intelligence Theory and Applications written by Manish Kumar Bajpai and published by Springer Nature. This book was released on 2021-11-10 with total page 681 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2021) held at IIIT, Jabalpur, in February 2021. The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the volume. The book theme encompasses all industrial and non-industrial applications in which a combination of hardware and software provides operational guidance to devices in the execution of their functions based on the capture and processing of images. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, COVID-19, image processing and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in healthcare, brain-computer interface, cybersecurity, and social network analysis, natural language processing, etc.
Download or read book Advances in Photogrammetry Remote Sensing and Spatial Information Sciences 2008 ISPRS Congress Book written by Zhilin Li and published by CRC Press. This book was released on 2008-07-01 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: Published on the occasion of the XXIst Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS) in Beiijng, China in 2008, Advances in Photogrammetry, Remote Sensing and Spatial Information Sciences: 2008 ISPRS Congress Book is a compilation of 34 contributions from 62 researchers active within the ISPRS. The book covers
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
Download or read book Topics in Oceanography written by Enrico Zambianchi and published by BoD – Books on Demand. This book was released on 2013-07-10 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Oceanography is the par excellence interdisciplinary science thanks to its peculiar setting within a fluid environment that makes connections extremely efficient. The oceans connections are well mirrored in the chapters of this book that share a quite explicit multidisciplinary and multi-environmental character. The book provides chapters on very different topics under very different settings, some with a focused angle, others with a broader approach, yet all sharing the idea that we need to understand the small pieces in order to put together the big picture for a much larger mechanism, the functioning of the ocean as a whole.
Download or read book National Common Entrance Test Teaching Aptitute 4 Year Integrated Teacher Education Programme Guide Book Theory 400 MCQ with Explanations written by DIWAKAR EDUCATION HUB and published by DIWAKAR EDUCATION HUB . This book was released on 2024-04-21 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: National Common Entrance Test Teaching Aptitute 4-Year Integrated Teacher Education Programme Guide Book Theory + 400 MCQ with Explanations
