Overcoming Data Scarcity In Earth Science

Author : Angela Gorgoglione,Alberto Castro Casales,Christian Chreties Ceriani,Lorena Etcheverry Venturini
Publisher : MDPI
Page : 94 pages
File Size : 42,6 Mb
Release : 2020-05-22
Category : Science
ISBN : 9783039282104

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Overcoming Data Scarcity in Earth Science by Angela Gorgoglione,Alberto Castro Casales,Christian Chreties Ceriani,Lorena Etcheverry Venturini Pdf

heavily Environmental mathematical models represent one of the key aids for scientists to forecast, create, and evaluate complex scenarios. These models rely on the data collected by direct field observations. However, assembly of a functional and comprehensive dataset for any environmental variable is difficult, mainly because of i) the high cost of the monitoring campaigns and ii) the low reliability of measurements (e.g., due to occurrences of equipment malfunctions and/or issues related to equipment location). The lack of a sufficient amount of Earth science data may induce an inadequate representation of the response’s complexity in any environmental system to any type of input/change, both natural and human-induced. In such a case, before undertaking expensive studies to gather and analyze additional data, it is reasonable to first understand what enhancement in estimates of system performance would result if all the available data could be well exploited. Missing data imputation is an important task in cases where it is crucial to use all available data and not discard records with missing values. Different approaches are available to deal with missing data. Traditional statistical data completion methods are used in different domains to deal with single and multiple imputation problems. More recently, machine learning techniques, such as clustering and classification, have been proposed to complete missing data. This book showcases the body of knowledge that is aimed at improving the capacity to exploit the available data to better represent, understand, predict, and manage the behavior of environmental systems at all practical scales.

Author : Angela Gorgoglione,Alberto Castro Casales,Christian Chreties Ceriani,Lorena Etcheverry Venturini
Publisher : Unknown
Page : 94 pages
File Size : 41,8 Mb
Release : 2020
Category : Engineering (General). Civil engineering (General)
ISBN : 3039282115

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Overcoming Data Scarcity in Earth Science by Angela Gorgoglione,Alberto Castro Casales,Christian Chreties Ceriani,Lorena Etcheverry Venturini Pdf

Heavily Environmental mathematical models represent one of the key aids for scientists to forecast, create, and evaluate complex scenarios. These models rely on the data collected by direct field observations. However, assembly of a functional and comprehensive dataset for any environmental variable is difficult, mainly because of i) the high cost of the monitoring campaigns and ii) the low reliability of measurements (e.g., due to occurrences of equipment malfunctions and/or issues related to equipment location). The lack of a sufficient amount of Earth science data may induce an inadequate representation of the response's complexity in any environmental system to any type of input/change, both natural and human-induced. In such a case, before undertaking expensive studies to gather and analyze additional data, it is reasonable to first understand what enhancement in estimates of system performance would result if all the available data could be well exploited. Missing data imputation is an important task in cases where it is crucial to use all available data and not discard records with missing values. Different approaches are available to deal with missing data. Traditional statistical data completion methods are used in different domains to deal with single and multiple imputation problems. More recently, machine learning techniques, such as clustering and classification, have been proposed to complete missing data. This book showcases the body of knowledge that is aimed at improving the capacity to exploit the available data to better represent, understand, predict, and manage the behavior of environmental systems at all practical scales.

Author : Benedetto Nastasi,Massimiliano Manfren,Michel Noussan
Publisher : MDPI
Page : 218 pages
File Size : 47,6 Mb
Release : 2020-06-25
Category : Science
ISBN : 9783039362189

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Open Data and Energy Analytics by Benedetto Nastasi,Massimiliano Manfren,Michel Noussan Pdf

Open data and policy implications coming from data-aware planning entail collection and pre- and postprocessing as operations of primary interest. Before these steps, making data available to people and their decision-makers is a crucial point. Referring to the relationship between data and energy, public administrations, governments, and research bodies are promoting the construction of reliable and robust datasets to pursue policies coherent with the Sustainable Development Goals, as well as to allow citizens to make informed choices. Energy engineers and planners must provide the simplest and most robust tools to collect, process, and analyze data in order to offer solid data-based evidence for future projections in building, district, and regional systems planning. This Special Issue aims at providing the state-of-the-art on open-energy data analytics; its availability in the different contexts, i.e., country peculiarities; and its availability at different scales, i.e., building, district, and regional for data-aware planning and policy-making. For all the aforementioned reasons, we encourage researchers to share their original works on the field of open data and energy analytics. Topics of primary interest include but are not limited to the following: 1. Open data and energy sustainability; 2. Open data science and energy planning; 3. Open science and open governance for sustainable development goals; 4. Key performance indicators of data-aware energy modelling, planning, and policy; 5. Energy, water, and sustainability database for building, district, and regional systems; 6. Best practices and case studies.

Author : Peng Zhenming,Sanyi Yuan,Xiaolan Qiu,Wenjuan Zhang,Anna Sowizdzal
Publisher : Frontiers Media SA
Page : 191 pages
File Size : 54,8 Mb
Release : 2023-08-30
Category : Science
ISBN : 9782832531570

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Advances and applications of artificial intelligence in geoscience and remote sensing by Peng Zhenming,Sanyi Yuan,Xiaolan Qiu,Wenjuan Zhang,Anna Sowizdzal Pdf

Author : Laurens M. Bouwer,Doris Dransch,Roland Ruhnke,Diana Rechid,Stephan Frickenhaus,Jens Greinert
Publisher : Springer Nature
Page : 158 pages
File Size : 54,9 Mb
Release : 2022-07-14
Category : Science
ISBN : 9783030995461

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Integrating Data Science and Earth Science by Laurens M. Bouwer,Doris Dransch,Roland Ruhnke,Diana Rechid,Stephan Frickenhaus,Jens Greinert Pdf

This open access book presents the results of three years collaboration between earth scientists and data scientist, in developing and applying data science methods for scientific discovery. The book will be highly beneficial for other researchers at senior and graduate level, interested in applying visual data exploration, computational approaches and scientifc workflows.

Author : Philippe Gourbesville,Guy Caignaert
Publisher : Springer Nature
Page : 1056 pages
File Size : 43,8 Mb
Release : 2020-07-25
Category : Science
ISBN : 9789811554360

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Advances in Hydroinformatics by Philippe Gourbesville,Guy Caignaert Pdf

This book features a collection of extended papers based on presentations given at the SimHydro 2019 conference, held in Sophia Antipolis in June 2019 with the support of French Hydrotechnic Society (SHF), focusing on “Which models for extreme situations and crisis management?” Hydraulics and related disciplines are frequently applied in extreme situations that need to be understood accurately before implementing actions and defining appropriate mitigation measures. However, in such situations currently used models may be partly irrelevant due to factors like the new physical phenomena involved, the scale of the processes, and the hypothesis included in the different numerical tools. The availability of computational resources and new capacities like GPU offers modellers the opportunity to explore various approaches to provide information for decision-makers. At the same time, the topic of crisis management has sparked interest from stakeholders who need to share a common understanding of a situation. Hydroinfomatics tools can provide essential information in crises; however, the design and integration of models in decision-support systems require further development and the engagement of various communities, such as first responders. In this context, methodologies, guidelines and standards are more and more in demand in order to ensure that the systems developed are efficient and sustainable. Exploring both the limitations and performance of current models, this book presents the latest developments based on new numerical schemes, high-performance computing, multiphysics and multiscale methods, as well as better integration of field-scale model data. As such, it will appeal to practitioners, stakeholders, researchers and engineers active in this field.

Author : Ashok N. Srivastava,Ramakrishna Nemani,Karsten Steinhaeuser
Publisher : CRC Press
Page : 354 pages
File Size : 54,7 Mb
Release : 2017-08-01
Category : Computers
ISBN : 9781315354460

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Large-Scale Machine Learning in the Earth Sciences by Ashok N. Srivastava,Ramakrishna Nemani,Karsten Steinhaeuser Pdf

From the Foreword: "While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth sciences is still in the early stages. This book, edited by Ashok Srivastava, Ramakrishna Nemani, and Karsten Steinhaeuser, serves as an outstanding resource for anyone interested in the opportunities and challenges for the machine learning community in analyzing these data sets to answer questions of urgent societal interest...I hope that this book will inspire more computer scientists to focus on environmental applications, and Earth scientists to seek collaborations with researchers in machine learning and data mining to advance the frontiers in Earth sciences." --Vipin Kumar, University of Minnesota Large-Scale Machine Learning in the Earth Sciences provides researchers and practitioners with a broad overview of some of the key challenges in the intersection of Earth science, computer science, statistics, and related fields. It explores a wide range of topics and provides a compilation of recent research in the application of machine learning in the field of Earth Science. Making predictions based on observational data is a theme of the book, and the book includes chapters on the use of network science to understand and discover teleconnections in extreme climate and weather events, as well as using structured estimation in high dimensions. The use of ensemble machine learning models to combine predictions of global climate models using information from spatial and temporal patterns is also explored. The second part of the book features a discussion on statistical downscaling in climate with state-of-the-art scalable machine learning, as well as an overview of methods to understand and predict the proliferation of biological species due to changes in environmental conditions. The problem of using large-scale machine learning to study the formation of tornadoes is also explored in depth. The last part of the book covers the use of deep learning algorithms to classify images that have very high resolution, as well as the unmixing of spectral signals in remote sensing images of land cover. The authors also apply long-tail distributions to geoscience resources, in the final chapter of the book.

Author : Graham J. Borradaile
Publisher : Springer Science & Business Media
Page : 388 pages
File Size : 47,5 Mb
Release : 2003-05-14
Category : Mathematics
ISBN : 3540436030

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Statistics of Earth Science Data by Graham J. Borradaile Pdf

From the reviews: "All in all, Graham Borradaile has written and interesting and idiosyncratic book on statistics for geoscientists that will be welcome among students, researchers, and practitioners dealing with orientation data. That should include engineering geologists who work with things like rock fracture orientation measurements or clast alignment in paleoseismic trenches. It won’t replace the collection of statistics and geostatistics texts in my library, but it will have a place among them and will likely be one of several references to which I turn when working with orientation data.... The text is easy to follow and illustrations are generally clear and easy to read..."(William C. Haneberg, Haneberg Geoscience)

Author : Anonim
Publisher : ScholarlyEditions
Page : 6804 pages
File Size : 49,6 Mb
Release : 2012-01-09
Category : Science
ISBN : 9781464963384

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Issues in Earth Sciences, Geology, and Geophysics: 2011 Edition by Anonim Pdf

Issues in Earth Sciences, Geology, and Geophysics: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Earth Sciences, Geology, and Geophysics. The editors have built Issues in Earth Sciences, Geology, and Geophysics: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Earth Sciences, Geology, and Geophysics in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Earth Sciences, Geology, and Geophysics: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Author : Kusum Pandey
Publisher : Springer Nature
Page : 561 pages
File Size : 50,6 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 9789819703418

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Artificial Intelligence and Smart Agriculture by Kusum Pandey Pdf

Author : Saeid Eslamian,Faezeh A. Eslamian
Publisher : CRC Press
Page : 800 pages
File Size : 44,7 Mb
Release : 2017-08-02
Category : Science
ISBN : 9781315404202

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Handbook of Drought and Water Scarcity by Saeid Eslamian,Faezeh A. Eslamian Pdf

This volume include over 30 chapters, written by experts from around the world. It examines drought and all of the fundamental principles relating to drought and water scarcity. It includes coverage of the causes of drought, occurences, preparations, drought vulnerability assessments, societal implications, and more.

Author : Hassane Jarar Oulidi,Abdelhamid Fadil,Nour Eddine Semane
Publisher : Springer Nature
Page : 111 pages
File Size : 47,7 Mb
Release : 2019-08-29
Category : Science
ISBN : 9783030249748

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Geospatial Technology by Hassane Jarar Oulidi,Abdelhamid Fadil,Nour Eddine Semane Pdf

This book aims to exchange and share the experiences and research results on the geospatial technology applied in water resources management. It will present the most recent innovations, trends, challenges encountered and the solutions adopted in the area of geospatial technology. It will be beneficial for academicians, scientists, meteorologists, and consultants working in the field of water resources management.

Author : Jan-Olaf Meynecke,Hector M. Guzman,Eduardo Secchi,Solène Derville,Russell Richards
Publisher : Frontiers Media SA
Page : 194 pages
File Size : 55,5 Mb
Release : 2024-01-03
Category : Science
ISBN : 9782832542446

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Whales and climate by Jan-Olaf Meynecke,Hector M. Guzman,Eduardo Secchi,Solène Derville,Russell Richards Pdf

Author : John J. Qu,Wei Gao,Menas Kafatos,Robert E. Murphy,Vincent V. Salomonson
Publisher : Springer Science & Business Media
Page : 356 pages
File Size : 47,8 Mb
Release : 2007-04-29
Category : Technology & Engineering
ISBN : 9783540372943

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Earth Science Satellite Remote Sensing by John J. Qu,Wei Gao,Menas Kafatos,Robert E. Murphy,Vincent V. Salomonson Pdf

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 : Zahrah Naankwat Musa
Publisher : CRC Press
Page : 206 pages
File Size : 44,5 Mb
Release : 2018-04-17
Category : Science
ISBN : 9780429884115

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Satellite-Based Mitigation and Adaptation Scenarios for Sea Level Rise in the Lower Niger Delta by Zahrah Naankwat Musa Pdf

The Niger delta with its gentle slope and low elevation is extremely sensitive to effects of climate change. Its adaptive capacity is the second lowest in terms of socio-economic development in Nigeria. Quantitative studies on developing measures for coastal planning and management in the lower Niger delta have been limited by data availability and inaccessibility of parts of the delta. The use of satellite data can help bridge the data gap by providing ancillary data (imagery, elevation, altimetry etc.) that can be used to quantify the effects of SLR in the Niger delta. This thesis uses satellite data as the main source for hydrodynamic modelling and GIS analysis. Until recently such data might not have the accuracy and precision of directly measured data. However recent innovative approaches have enabled better exploitation of satellite data to overcome these limitations and produce adequate results to assess the impact of SLR on the Niger delta in an integrated way that will lead to practical recommendations for adaptation. Using projected global eustatic SLR values in combination with land subsidence, this thesis estimated SLR levels for the Niger delta and its effect on inundation areas and flood extent. The results indicate that the Niger delta is very vulnerable to inundation and that even minimal SLR will affect flooding in the lower Niger delta since the area continues to subside. A new coastal vulnerability index was developed in this thesis by evaluating physical, social and human influence indicators of exposure, susceptibility and resilience. The results show that parts of the Niger delta are highly vulnerable to SLR and need adequate mitigation/adaptation measures to protect them. It is recommended that sustainable local resilience practices already being used in parts of the Niger delta should be included in adaptation planning.