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| crowdsourcing satellite image analysis: Analysis of Images, Social Networks and Texts Dmitry I. Ignatov, Mikhail Yu. Khachay, Valeri G. Labunets, Natalia Loukachevitch, Sergey I. Nikolenko, Alexander Panchenko, Andrey V. Savchenko, Konstantin Vorontsov, 2017-02-15 This book constitutes the proceedings of the 5th International Conference on Analysis of Images, Social Networks and Texts, AIST 2016, held in Yekaterinburg, Russia, in April 2016. The 23 full papers, 7 short papers, and 3 industrial papers were carefully reviewed and selected from 142 submissions. The papers are organized in topical sections on machine learning and data analysis; social networks; natural language processing; analysis of images and video. |
| crowdsourcing satellite image analysis: Remote Sensing Handbook, Volume VI Prasad S. Thenkabail, 2024-11-29 Volume VI of the Six Volume Remote Sensing Handbook, Second Edition, is focused on the use of remote sensing in the assessment and monitoring of droughts, dry lands, biomass burning, disasters such as volcanoes and fires, and urban studies and nightlights. It discusses land degradation assessment and monitoring, greenhouse gas (GHG) emissions, and pollution from nightlights in megacities. Chapters include remote sensing of agricultural droughts, including US drought monitoring, dryland studies, coal fires, biomass burning and GHG emissions, volcanoes, humanitarian disasters, smart cities, and night lights mapping. This thoroughly revised and updated volume draws on the expertise of a diverse array of leading international authorities in remote sensing and provides an essential resource for researchers at all levels interested in using remote sensing. It integrates discussions of remote sensing principles, data, methods, development, applications, and scientific and social context. FEATURES Provides the most up-to-date comprehensive coverage of remote sensing science for droughts, disasters, and GHG emissions. Discusses and analyzes data from old and new generations of sensors. Highlights remote sensing of agricultural droughts, humanitarian and natural disasters, and GHG emissions from coal and stubble burning. Includes numerous case studies on advances and applications at local, regional, and global scales. Introduces advanced methods in remote sensing, such as machine learning, cloud computing, and AI. Highlights scientific achievements over the last decade and provides guidance for future developments. This volume is an excellent resource for the entire remote sensing and GIS community. Academics, researchers, undergraduate and graduate students, as well as practitioners, decision makers, and policymakers, will benefit from the expertise of the professionals featured in this book and their extensive knowledge of new and emerging trends. |
| crowdsourcing satellite image analysis: Geographic Information Science Ningchuan Xiao, Mei-Po Kwan, Michael F. Goodchild, Shashi Shekhar, 2012-09-02 This book constitutes the refereed proceedings of the 7th International Conference on Geographic Information Science, GIScience 2012, held in Columbus, OH, USA in September 2012. The 26 full papers presented were carefully reviewed and selected from 57 submissions. While the traditional research topics are well reflected in the papers, emerging topics that involve new research hot-spots such as cyber infrastructure, big data, web-based computing also occupy a significant portion of the volume. |
| crowdsourcing satellite image analysis: Remote Sensing Handbook - Three Volume Set Prasad Thenkabail, 2018-10-03 A volume in the three-volume Remote Sensing Handbook series, Remote Sensing of Water Resources, Disasters, and Urban Studies documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Remotely Sensed Data Characterization, Classification, and Accuracies, and Land Reso |
| crowdsourcing satellite image analysis: Digital Humanitarians Patrick Meier, 2015-01-06 The overflow of information generated during disasters can be as paralyzing to humanitarian response as the lack of information. This flash flood of information‘social media, satellite imagery and more is often referred to as Big Data. Making sense of this data deluge during disasters is proving an impossible challenge for traditional humanitarian |
| crowdsourcing satellite image analysis: Heritage and Archaeology in the Digital Age Matthew L. Vincent, Víctor Manuel López-Menchero Bendicho, Marinos Ioannides, Thomas E. Levy, 2017-11-10 This book examines how computer-based programs can be used to acquire ‘big’ digital cultural heritage data, curate, and disseminate it over the Internet and in 3D visualization platforms with the ultimate goal of creating long-lasting “digital heritage repositories.’ The organization of the book reflects the essence of new technologies applied to cultural heritage and archaeology. Each of these stages bring their own challenges and considerations that need to be dealt with. The authors in each section present case studies and overviews of how each of these aspects might be dealt with. While technology is rapidly changing, the principles laid out in these chapters should serve as a guide for many years to come. The influence of the digital world on archaeology and cultural heritage will continue to shape these disciplines as advances in these technologies facilitate new lines of research. serif>The book is divided into three sections covering acquisition, curation, and dissemination (the major life cycles of cultural heritage data). Acquisition is one of the fundamental challenges for practitioners in heritage and archaeology, and the chapters in this section provide a template that highlights the principles for present and future work that will provide sustainable models for digital documentation. Following acquisition, the next section highlights how equally important curation is as the future of digital documentation depends on it. Preservation of digital data requires preservation that can guarantee a future for generations to come. The final section focuses on dissemination as it is what pushes the data beyond the shelves of storage and allows the public to experience the past through these new technologies, but also opens new lines of investigation by giving access to these data to researchers around the globe. Digital technology promises significant changes in how we approach social sciences, cultural heritage, and archaeology. However, researchers must consider not only the acquisition and curation, but also the dissemination of these data to their colleagues and the public. Throughout the book, many of the authors have highlighted the usefulness of Structure from Motion (SfM) work for cultural heritage documentation; others the utility and excitement of crowdsourcing as a ‘citizen scientist’ tool to engage not only trained students and researchers, but also the public in the cyber-archaeology endeavor. Both innovative tools facilitate the curation of digital cultural heritage and its dissemination. Together with all the chapters in this volume, the authors will help archaeologists, researchers interested in the digital humanities and scholars who focus on digital cultural heritage to assess where the field is and where it is going. |
| crowdsourcing satellite image analysis: Artificial Intelligence Techniques for Satellite Image Analysis D. Jude Hemanth, 2019-11-13 The main objective of this book is to provide a common platform for diverse concepts in satellite image processing. In particular it presents the state-of-the-art in Artificial Intelligence (AI) methodologies and shares findings that can be translated into real-time applications to benefit humankind. Interdisciplinary in its scope, the book will be of interest to both newcomers and experienced scientists working in the fields of satellite image processing, geo-engineering, remote sensing and Artificial Intelligence. It can be also used as a supplementary textbook for graduate students in various engineering branches related to image processing. |
| crowdsourcing satellite image analysis: Handbook of Human Computation Pietro Michelucci, 2013-12-04 This volume addresses the emerging area of human computation, The chapters, written by leading international researchers, explore existing and future opportunities to combine the respective strengths of both humans and machines in order to create powerful problem-solving capabilities. The book bridges scientific communities, capturing and integrating the unique perspective and achievements of each. It coalesces contributions from industry and across related disciplines in order to motivate, define, and anticipate the future of this exciting new frontier in science and cultural evolution. Readers can expect to find valuable contributions covering Foundations; Application Domains; Techniques and Modalities; Infrastructure and Architecture; Algorithms; Participation; Analysis; Policy and Security and the Impact of Human Computation. Researchers and professionals will find the Handbook of Human Computation a valuable reference tool. The breadth of content also provides a thorough foundation for students of the field. |
| crowdsourcing satellite image analysis: Remote Sensing of Water Resources, Disasters, and Urban Studies Ph.D., Prasad S. Thenkabail, 2015-10-02 This book is the most comprehensive documentation of the scientific and methodological advances that have taken place in understanding remote sensing data, methods, and applications over last 50 years. In a very practical way it demonstrates the experience, utility, methods and models used in studying a wide array of water applications. There are more than 100 leading global experts in the field contributing to this work. |
| crowdsourcing satellite image analysis: Crowdsourcing Geographic Knowledge Daniel Sui, Sarah Elwood, Michael Goodchild, 2012-08-10 The phenomenon of volunteered geographic information is part of a profound transformation in how geographic data, information, and knowledge are produced and circulated. By situating volunteered geographic information (VGI) in the context of big-data deluge and the data-intensive inquiry, the 20 chapters in this book explore both the theories and applications of crowdsourcing for geographic knowledge production with three sections focusing on 1). VGI, Public Participation, and Citizen Science; 2). Geographic Knowledge Production and Place Inference; and 3). Emerging Applications and New Challenges. This book argues that future progress in VGI research depends in large part on building strong linkages with diverse geographic scholarship. Contributors of this volume situate VGI research in geography’s core concerns with space and place, and offer several ways of addressing persistent challenges of quality assurance in VGI. This book positions VGI as part of a shift toward hybrid epistemologies, and potentially a fourth paradigm of data-intensive inquiry across the sciences. It also considers the implications of VGI and the exaflood for further time-space compression and new forms, degrees of digital inequality, the renewed importance of geography, and the role of crowdsourcing for geographic knowledge production. |
| crowdsourcing satellite image analysis: Remote Sensing and Geosciences for Archaeology Deodato Tapete, 2018-04-27 This book is a printed edition of the Special Issue Remote Sensing and Geosciences for Archaeology that was published in Geosciences |
| crowdsourcing satellite image analysis: Earth Observations for Geohazards Zhenhong Li, Roberto Tomás, 2018-07-05 This book is a printed edition of the Special Issue Earth Observations for Geohazards that was published in Remote Sensing |
| crowdsourcing satellite image analysis: Advanced Computational Methods for Knowledge Engineering Thanh Binh Nguyen, Tien van Do, Hoai An Le Thi, Ngoc Thanh Nguyen, 2016-05-01 This proceedings consists of 20 papers which have been selected and invited from the submissions to the 4th International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2016) held on 2-3 May, 2016 in Laxenburg, Austria. The conference is organized into 5 sessions: Advanced Optimization Methods and Their Applications, Models for ICT applications, Topics on discrete mathematics, Data Analytic Methods and Applications and Feature Extractio, respectively. All chapters in the book discuss theoretical and practical issues connected with computational methods and optimization methods for knowledge engineering. The editors hope that this volume can be useful for graduate and Ph.D. students and researchers in Applied Sciences, Computer Science and Applied Mathematics. |
| crowdsourcing satellite image analysis: Nuclear Non-proliferation and Arms Control Verification Irmgard Niemeyer, Mona Dreicer, Gotthard Stein, 2020-03-12 This book strives to take stock of current achievements and existing challenges in nuclear verification, identify the available information and gaps that can act as drivers for exploring new approaches to verification strategies and technologies. With the practical application of the systems concept to nuclear disarmament scenarios and other, non-nuclear verification fields, it investigates, where greater transparency and confidence could be achieved in pursuit of new national or international nonproliferation and arms reduction efforts. A final discussion looks at how, in the absence of formal government-to-government negotiations, experts can take practical steps to advance the technical development of these concepts. |
| crowdsourcing satellite image analysis: Signal and Image Processing for Remote Sensing C.H. Chen, 2024-06-11 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. |
| crowdsourcing satellite image analysis: The Transformation of Human Rights Fact-finding Philip Alston, Sarah Knuckey, 2016 Fact-finding is at the heart of human rights advocacy, and is often at the center of international controversies about alleged government abuses. In recent years, human rights fact-finding has greatly proliferated and become more sophisticated and complex, while also being subjected to stronger scrutiny from governments. Nevertheless, despite the prominence of fact-finding, it remains strikingly under-studied and under-theorized. Too little has been done to bring forth the assumptions, methodologies, and techniques of this rapidly developing field, or to open human rights fact-finding to critical and constructive scrutiny. The Transformation of Human Rights Fact-Finding offers a multidisciplinary approach to the study of fact-finding with rigorous and critical analysis of the field of practice, while providing a range of accounts of what actually happens. It deepens the study and practice of human rights investigations, and fosters fact-finding as a discretely studied topic, while mapping crucial transformations in the field. The contributions to this book are the result of a major international conference organized by New York University Law School's Center for Human Rights and Global Justice. Engaging the expertise and experience of the editors and contributing authors, it offers a broad approach encompassing contemporary issues and analysis across the human rights spectrum in law, international relations, and critical theory. This book addresses the major areas of human rights fact-finding such as victim and witness issues; fact-finding for advocacy, enforcement, and litigation; the role of interdisciplinary expertise and methodologies; crowd sourcing, social media, and big data; and international guidelines for fact-finding. |
| crowdsourcing satellite image analysis: Crowdsourcing and Knowledge Management in Contemporary Business Environments Lenart-Gansiniec, Regina, 2018-08-17 In an era of an economy based on knowledge and Web 2.0 technology, knowledge is the foundation for improving the decision-making processes and relations between people both in and outside of an organization. Providing new and unique sources of knowledge outside organizations enables innovation and shapes competitive advantage. Crowdsourcing and Knowledge Management in Contemporary Business Environments is a collection of innovative research on the methods and applications of crowdsourcing in collaboration, idea implementation, and organizational development. Highlighting a range of topics including data analytics, crowd computing, and open innovation, this book is ideally designed for business managers, business professionals, business and social researchers, graduate-level students, and academicians seeking current research on the mechanisms of knowledge management in crowdsourcing. |
| crowdsourcing satellite image analysis: Big Data Meets Survey Science Craig A. Hill, Paul P. Biemer, Trent D. Buskirk, Lilli Japec, Antje Kirchner, Stas Kolenikov, Lars E. Lyberg, 2020-09-29 Offers a clear view of the utility and place for survey data within the broader Big Data ecosystem This book presents a collection of snapshots from two sides of the Big Data perspective. It assembles an array of tangible tools, methods, and approaches that illustrate how Big Data sources and methods are being used in the survey and social sciences to improve official statistics and estimates for human populations. It also provides examples of how survey data are being used to evaluate and improve the quality of insights derived from Big Data. Big Data Meets Survey Science: A Collection of Innovative Methods shows how survey data and Big Data are used together for the benefit of one or more sources of data, with numerous chapters providing consistent illustrations and examples of survey data enriching the evaluation of Big Data sources. Examples of how machine learning, data mining, and other data science techniques are inserted into virtually every stage of the survey lifecycle are presented. Topics covered include: Total Error Frameworks for Found Data; Performance and Sensitivities of Home Detection on Mobile Phone Data; Assessing Community Wellbeing Using Google Street View and Satellite Imagery; Using Surveys to Build and Assess RBS Religious Flag; and more. Presents groundbreaking survey methods being utilized today in the field of Big Data Explores how machine learning methods can be applied to the design, collection, and analysis of social science data Filled with examples and illustrations that show how survey data benefits Big Data evaluation Covers methods and applications used in combining Big Data with survey statistics Examines regulations as well as ethical and privacy issues Big Data Meets Survey Science: A Collection of Innovative Methods is an excellent book for both the survey and social science communities as they learn to capitalize on this new revolution. It will also appeal to the broader data and computer science communities looking for new areas of application for emerging methods and data sources. |
| crowdsourcing satellite image analysis: The GEO Handbook on Biodiversity Observation Networks Michele Walters, Robert J. Scholes, 2016-11-25 Biodiversity observation systems are almost everywhere inadequate to meet local, national and international (treaty) obligations. As a result of alarmingly rapid declines in biodiversity in the modern era, there is a strong, worldwide desire to upgrade our monitoring systems, but little clarity on what is actually needed and how it can be assembled from the elements which are already present. This book intends to provide practical guidance to broadly-defined biodiversity observation networks at all scales, but predominantly the national scale and higher. This is a practical how-to book with substantial policy relevance. It will mostly be used by technical specialists with a responsibility for biodiversity monitoring to establish and refine their systems. It is written at a technical level, but one that is not discipline-bound: it should be intelligible to anyone in the broad field with a tertiary education. |
| crowdsourcing satellite image analysis: Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images Yakoub Bazi, Edoardo Pasolli, 2021-06-15 The rapid growth of the world population has resulted in an exponential expansion of both urban and agricultural areas. Identifying and managing such earthly changes in an automatic way poses a worth-addressing challenge, in which remote sensing technology can have a fundamental role to answer—at least partially—such demands. The recent advent of cutting-edge processing facilities has fostered the adoption of deep learning architectures owing to their generalization capabilities. In this respect, it seems evident that the pace of deep learning in the remote sensing domain remains somewhat lagging behind that of its computer vision counterpart. This is due to the scarce availability of ground truth information in comparison with other computer vision domains. In this book, we aim at advancing the state of the art in linking deep learning methodologies with remote sensing image processing by collecting 20 contributions from different worldwide scientists and laboratories. The book presents a wide range of methodological advancements in the deep learning field that come with different applications in the remote sensing landscape such as wildfire and postdisaster damage detection, urban forest mapping, vine disease and pavement marking detection, desert road mapping, road and building outline extraction, vehicle and vessel detection, water identification, and text-to-image matching. |
| crowdsourcing satellite image analysis: Citizen E-Participation in Urban Governance: Crowdsourcing and Collaborative Creativity Silva, Carlos Nunes, 2013-06-30 The relationship between citizens and city governments is gradually transforming due to the utilization of advanced information and communication technologies in order to inform, consult, and engage citizens. Citizen E-Participation in Urban Governance: Crowdsourcing and Collaborative Creativity explores the nature of the new challenges confronting citizens and local governments in the field of urban governance. This comprehensive reference source explores the role that Web 2.0 technologies play in promoting citizen participation and empowerment in the city government and is intended for scholars, researchers, students, and practitioners in the field of urban studies, urban planning, political science, public administration, and more. |
| crowdsourcing satellite image analysis: Remote Sensing Time Series Image Processing Qihao Weng, 2018-04-17 Today, remote sensing technology is an essential tool for understanding the Earth and managing human-Earth interactions. There is a rapidly growing need for remote sensing and Earth observation technology that enables monitoring of world’s natural resources and environments, managing exposure to natural and man-made risks and more frequently occurring disasters, and helping the sustainability and productivity of natural and human ecosystems. The improvement in temporal resolution/revisit allows for the large accumulation of images for a specific location, creating a possibility for time series image analysis and eventual real-time assessments of scene dynamics. As an authoritative text, Remote Sensing Time Series Image Processing brings together active and recognized authors in the field of time series image analysis and presents to the readers the current state of knowledge and its future directions. Divided into three parts, the first addresses methods and techniques for generating time series image datasets. In particular, it provides guidance on the selection of cloud and cloud shadow detection algorithms for various applications. Part II examines feature development and information extraction methods for time series imagery. It presents some key remote sensing-based metrics, and their major applications in ecosystems and climate change studies. Part III illustrates various applications of time series image processing in land cover change, disturbance attribution, vegetation dynamics, and urbanization. This book is intended for researchers, practitioners, and students in both remote sensing and imaging science. It can be used as a textbook by undergraduate and graduate students majoring in remote sensing, imaging science, civil and electrical engineering, geography, geosciences, planning, environmental science, land use, energy, and GIS, and as a reference book by practitioners and professionals in the government, commercial, and industrial sectors. |
| crowdsourcing satellite image analysis: Remotely Sensed Data Characterization, Classification, and Accuracies Ph.D., Prasad S. Thenkabail, 2015-10-02 A volume in the Remote Sensing Handbook series, Remotely Sensed Data Characterization, Classification, and Accuracies documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Land Resources Monitoring, Modeling, and Mapping with Remote Sensing, and Remote Sensing of |
| crowdsourcing satellite image analysis: Geospatial Thinking Marco Painho, Maribel Yasmina Santos, Hardy Pundt, 2010-07-20 For the fourth consecutive year, the Association of Geographic Infor- tion Laboratories for Europe (AGILE) promoted the edition of a book with the collection of the scientific papers that were submitted as full-papers to the AGILE annual international conference. Those papers went through a th competitive review process. The 13 AGILE conference call for fu- papers of original and unpublished fundamental scientific research resulted in 54 submissions, of which 21 were accepted for publication in this - lume (acceptance rate of 39%). Published in the Springer Lecture Notes in Geoinformation and Car- th graphy, this book is associated to the 13 AGILE Conference on G- graphic Information Science, held in 2010 in Guimarães, Portugal, under the title “Geospatial Thinking”. The efficient use of geospatial information and related technologies assumes the knowledge of concepts that are fundamental components of Geospatial Thinking, which is built on reasoning processes, spatial conc- tualizations, and representation methods. Geospatial Thinking is associated with a set of cognitive skills consisting of several forms of knowledge and cognitive operators used to transform, combine or, in any other way, act on that same knowledge. The scientific papers published in this volume cover an important set of topics within Geoinformation Science, including: Representation and Visualisation of Geographic Phenomena; Spatiotemporal Data Analysis; Geo-Collaboration, Participation, and Decision Support; Semantics of Geoinformation and Knowledge Discovery; Spatiotemporal Modelling and Reasoning; and Web Services, Geospatial Systems and Real-time Appli- tions. |
| crowdsourcing satellite image analysis: Environmental Applications of Remote Sensing Maged Marghany, 2016-06-08 Nowadays, the innovation in space technologies creates a new trend for the Earth observation and monitoring from space. This book contains high quality and compressive work on both microwave and optical remote sensing applications. This book is divided into five sections: (i) remote sensing for biomass estimation, (ii) remote sensing-based glacier studies, (iii) remote sensing for coastal and ocean applications, (iv) sewage leaks and environment disasters, and (v) remote sensing image processing. Each chapter offers an opportunity to expand the knowledge about various remote sensing techniques and persuade researchers to deliver new research novelty for environment studies. |
| crowdsourcing satellite image analysis: The Routledge Companion to Artificial Intelligence in Architecture Imdat As, Prithwish Basu, 2021-05-05 Providing the most comprehensive source available, this book surveys the state of the art in artificial intelligence (AI) as it relates to architecture. This book is organized in four parts: theoretical foundations, tools and techniques, AI in research, and AI in architectural practice. It provides a framework for the issues surrounding AI and offers a variety of perspectives. It contains 24 consistently illustrated contributions examining seminal work on AI from around the world, including the United States, Europe, and Asia. It articulates current theoretical and practical methods, offers critical views on tools and techniques, and suggests future directions for meaningful uses of AI technology. Architects and educators who are concerned with the advent of AI and its ramifications for the design industry will find this book an essential reference. |
| crowdsourcing satellite image analysis: Machine Vision Inspection Systems, Image Processing, Concepts, Methodologies, and Applications Muthukumaran Malarvel, Soumya Ranjan Nayak, Surya Narayan Panda, Prasant Kumar Pattnaik, Nittaya Muangnak, 2020-06-01 This edited book brings together leading researchers, academic scientists and research scholars to put forward and share their experiences and research results on all aspects of an inspection system for detection analysis for various machine vision applications. It also provides a premier interdisciplinary platform to present and discuss the most recent innovations, trends, methodology, applications, and concerns as well as practical challenges encountered and solutions adopted in the inspection system in terms of image processing and analytics of machine vision for real and industrial application. Machine vision inspection systems (MVIS) utilized all industrial and non-industrial applications where the execution of their utilities based on the acquisition and processing of images. MVIS can be applicable in industry, governmental, defense, aerospace, remote sensing, medical, and academic/education applications but constraints are different. MVIS entails acceptable accuracy, high reliability, high robustness, and low cost. Image processing is a well-defined transformation between human vision and image digitization, and their techniques are the foremost way to experiment in the MVIS. The digital image technique furnishes improved pictorial information by processing the image data through machine vision perception. Digital image processing has widely been used in MVIS applications and it can be employed to a wide diversity of problems particularly in Non-Destructive testing (NDT), presence/absence detection, defect/fault detection (weld, textile, tiles, wood, etc.,), automated vision test & measurement, pattern matching, optical character recognition & verification (OCR/OCV), barcode reading and traceability, medical diagnosis, weather forecasting, face recognition, defence and space research, etc. This edited book is designed to address various aspects of recent methodologies, concepts and research plan out to the readers for giving more depth insights for perusing research on machine vision using image processing techniques. |
| crowdsourcing satellite image analysis: Futures of Journalism Ville J. E. Manninen, Mari K. Niemi, Anthony Ridge-Newman, 2022-05-04 This book examines how technologies are changing, will change, or could change the relationship between audiences and news media. It highlights how novel technologies could have fundamental implications for the way that news media interact with wider society. The book comprises of four thematic parts. Firstly, it focuses on the impact of technological development on the news media business, exploring how news media uses new technologies to improve their sustainability. Secondly, it considers the ethical dilemmas that arise when audience-news media relationships are transformed by technological development. The third part of the book approaches the effects of novel technologies from the journalists’ viewpoint: how do new technologies intervene in the audience-news media relationship through journalistic work? Finally, the fourth part dissects the ways new technologies can impact audience-news media relationships through transforming audience agency, audience preferences and news media’s understanding of them. |
| crowdsourcing satellite image analysis: Thinking about GIS Roger F. Tomlinson, 2007 Targeting those charged with launching or implementing a geographic information system for their organization, this book details a practical method for planning a GIS proven successful in public and private sector organizations. |
| crowdsourcing satellite image analysis: Archaeology from Space Sarah Parcak, 2019-07-09 Winner of Archaeological Institute of America's Felicia A. Holton Book Award • Winner of the Phi Beta Kappa Prize for Science • An Amazon Best Science Book of 2019 • A Science Friday Best Science Book of 2019 • A Kirkus Reviews Best Nonfiction Book of 2019 • A Science News Best Book of 2019 • Nature's Top Ten Books of 2019 A crash course in the amazing new science of space archaeology that only Sarah Parcak can give. This book will awaken the explorer in all of us. ?Chris Anderson, Head of TED National Geographic Explorer and TED Prize-winner Dr. Sarah Parcak gives readers a personal tour of the evolution, major discoveries, and future potential of the young field of satellite archaeology. From surprise advancements after the declassification of spy photography, to a new map of the mythical Egyptian city of Tanis, she shares her field’s biggest discoveries, revealing why space archaeology is not only exciting, but urgently essential to the preservation of the world’s ancient treasures. Parcak has worked in twelve countries and four continents, using multispectral and high-resolution satellite imagery to identify thousands of previously unknown settlements, roads, fortresses, palaces, tombs, and even potential pyramids. From there, her stories take us back in time and across borders, into the day-to-day lives of ancient humans whose traits and genes we share. And she shows us that if we heed the lessons of the past, we can shape a vibrant future. Includes Illustrations |
| crowdsourcing satellite image analysis: Artificial Intelligence-Driven Geographies Seyed Navid Mashhadi Moghaddam, |
| crowdsourcing satellite image analysis: Computational Science and Its Applications – ICCSA 2020 Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Chiara Garau, Ivan Blečić, David Taniar, Bernady O. Apduhan, Ana Maria A. C. Rocha, Eufemia Tarantino, Carmelo Maria Torre, Yeliz Karaca, 2020-09-28 The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020. Due to COVID-19 pandemic the conference was organized in an online event. Computational Science is the main pillar of most of the present research, industrial and commercial applications, and plays a unique role in exploiting ICT innovative technologies. The 466 full papers and 32 short papers presented were carefully reviewed and selected from 1450 submissions. Apart from the general track, ICCSA 2020 also include 52 workshops, in various areas of computational sciences, ranging from computational science technologies, to specific areas of computational sciences, such as software engineering, security, machine learning and artificial intelligence, blockchain technologies, and of applications in many fields. |
| crowdsourcing satellite image analysis: Technology Entrepreneurship and Sustainable Development Pradeep Ray, Rajib Shaw, 2022-06-16 This book discusses the need for entrepreneurship for sustainable development from the perspective of Asia, the fastest growing region in the world. The world is now witnessing a spectacular rise of technology entrepreneurship, involving mobile phones, artificial intelligence, geospatial information systems and social media. On the other hand, governments all over the world, particularly those in low and medium income countries, are facing severe resource constraints in developing the livelihood and well-being of citizens. Although many non-government organizations (NGOs) have worked on various development projects in a number of social sectors such as health, education, disabilities, poverty alleviation and environment, there is still substantial scope for technological innovation, including more efficient, effective and user-friendly solutions in different parts of the world. This book is organized into 2 parts and consists of 17 chapters. The first part explores education and well-being, and the second part discusses the climate, environment and disaster management. |
| crowdsourcing satellite image analysis: Google Earth: Outreach and Activism Catherine Summerhayes, 2016-08-25 In order to be able to communicate and engage with each other via new communicative spaces such as Google Earth, we need to understand as much as possible about how they work as cultural texts: how and why we make them and how we respond to them. Launched in 2005, Google Earth is a virtual globe, map and geographical information program, mapping the Earth by the superimposition of images obtained from satellite imagery and aerial photography. By addressing the sociopolitical issues at stake in society's use of social websites, the author provides the first ever extended close reading of Google Earth as a powerful player in the communication realm of social media. By grounding the context of its military pre-history, its construction, its links to other similar world-making sites such as Google Maps and how it is perceived critically by social scientists, it is imperative to understand how social networking and information sites work in socio and geo-political contexts if society is to use these sites effectively and for the public good. |
| crowdsourcing satellite image analysis: Geospatial Information Technology for Emergency Response Sisi Zlatanova, Jonathan Li, 2008-01-24 Disaster management is generally understood to consist of four phases: mitigation, preparedness, response and recovery. While these phases are all important and interrelated, response and recovery are often considered to be the most critical in terms of saving lives. Response is the acute phase occurring after the event, and includes all arrangemen |
| crowdsourcing satellite image analysis: Geographical Information Systems Xuan Zhu, 2024-09-30 Geographical information systems (GIS) are powerful tools for reporting on the environment, natural resources and social and economic development; modelling the environmental, biophysical, social and economic processes; assessing environmental and social impacts; evaluating environmental, social and economic policies and actions and dissimilating spatial information. Geographical Information Systems: A Practical Approach provides the fullest available introduction to GIS and their environmental, social and economic applications. This new edition has been substantially revised and updated to incorporate the key developments in GIS technology and spatial data science and their applications that have taken place in recent years. The key features include: A comprehensive coverage of concepts, methods, techniques and tools in GIS for spatial data capturing, processing, visualisation, analysis, modelling and decision-making Incorporation of advanced machine learning techniques for spatial data analysis and modelling Extended coverage of spatial visualisation with 3D mapping and online mapping Weaving together of GIS theory and practice to help readers learn important GIS concepts and methods and develop their understanding through practicals with ArcGIS Pro or QGIS New and updated case studies illustrating the innovative use of GIS for a wide range of applications The second edition of this text continues to bring up-to-date GIS knowledge, tools and practices into one cohesive, comprehensive, concise and self-contained book which is accessible to students, scientists and practitioners in environmental science, earth science, geography, archaeology and other scientific studies that have a spatial dimension. |
| crowdsourcing satellite image analysis: Wattles David M. Richardson, Johannes J. Le Roux, Elizabete Marchante, 2023-11-13 The book provides a comprehensive overview of current knowledge about wattles, a large clade of over 1000 species of trees and shrubs in the genus Acacia, most of which are native to Australia. It examines the biology, ecology, evolution, and biogeography of wattles in their native ranges, including the evolutionary forces that have driven past speciation and adaptation to diverse environments, the conservation status, uses and human perceptions of these species. It considers the different histories of the introductions and proliferation of wattles as alien species in different parts of the world since c. 1850 (the Anthropocene), situated within relevant political, socio-economic and scientific contexts, together with an analysis of how awareness of their impacts as invasive species has changed over time. Differences in the dynamics and trends associated with the introduction, naturalization and invasion of wattles in different parts of the world are reviewed. The book also synthesizes the global distribution of wattles using diverse data sources, alongside trends, patterns and projections of global uses of wattles. It discusses the genetics, biotic interactions, and ecological, economic and social impacts of invasive wattles. This book is aimed at academics and students in the field of ecology, and at managers of natural and anthropic ecosystems, policy-makers and regulators, and the general public interested in biology and environmental science. |
| crowdsourcing satellite image analysis: ECML PKDD 2018 Workshops Carlos Alzate, Anna Monreale, Haytham Assem, Albert Bifet, Teodora Sandra Buda, Bora Caglayan, Brett Drury, Eva García-Martín, Ricard Gavaldà, Irena Koprinska, Stefan Kramer, Niklas Lavesson, Michael Madden, Ian Molloy, Maria-Irina Nicolae, Mathieu Sinn, 2019-02-15 This book constitutes revised selected papers from the workshops Nemesis, UrbReas, SoGood, IWAISe, and Green Data Mining, held at the 18th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, in Dublin, Ireland, in September 2018. The 20 papers presented in this volume were carefully reviewed and selected from a total of 32 submissions. The workshops included are: Nemesis 2018: First Workshop on Recent Advances in Adversarial Machine Learning UrbReas 2018: First International Workshop on Urban Reasoning from Complex Challenges in Cities SoGood 2018: Third Workshop on Data Science for Social Good IWAISe 2018: Second International Workshop on Artificial Intelligence in Security Green Data Mining 2018: First International Workshop on Energy Efficient Data Mining and Knowledge Discovery |
| crowdsourcing satellite image analysis: Handbook of Big Geospatial Data Martin Werner, Yao-Yi Chiang, 2021-05-07 This handbook covers a wide range of topics related to the collection, processing, analysis, and use of geospatial data in their various forms. This handbook provides an overview of how spatial computing technologies for big data can be organized and implemented to solve real-world problems. Diverse subdomains ranging from indoor mapping and navigation over trajectory computing to earth observation from space, are also present in this handbook. It combines fundamental contributions focusing on spatio-textual analysis, uncertain databases, and spatial statistics with application examples such as road network detection or colocation detection using GPUs. In summary, this handbook gives an essential introduction and overview of the rich field of spatial information science and big geospatial data. It introduces three different perspectives, which together define the field of big geospatial data: a societal, governmental, and governance perspective. It discusses questions of how the acquisition, distribution and exploitation of big geospatial data must be organized both on the scale of companies and countries. A second perspective is a theory-oriented set of contributions on arbitrary spatial data with contributions introducing into the exciting field of spatial statistics or into uncertain databases. A third perspective is taking a very practical perspective to big geospatial data, ranging from chapters that describe how big geospatial data infrastructures can be implemented and how specific applications can be implemented on top of big geospatial data. This would include for example, research in historic map data, road network extraction, damage estimation from remote sensing imagery, or the analysis of spatio-textual collections and social media. This multi-disciplinary approach makes the book unique. This handbook can be used as a reference for undergraduate students, graduate students and researchers focused on big geospatial data. Professionals can use this book, as well as practitioners facing big collections of geospatial data. |
| crowdsourcing satellite image analysis: The Earth Observer , 2012 |
Satellite image analysis using crowdsourcing data for …
important gaps in crowdsourced satellite image analysis by means of crowdsourcing in areas such as land cover classification and emergency management. In this paper, we...
Geolocating Images with Crowdsourcing and Diagramming
In this paper, we explore how crowdsourcing can be used to support expert image geolocation. We adapt an expert diagramming tech-nique to overcome spatial reasoning limitations of novice …
Crowdsourcing to enhance insights from satellite observations
This chapter discusses the experience of the European Space Agency funded Crowd4Sat project led by the University of Shef-field that investigated different facets of how crowdsourcing and …
A review of crowdsourced geographic information for land-use …
addressed the challenges and prospects of satellite image analysis in collaborative mapping through crowdsourcing. Yin et al. (2021) examined the integration strategies of remote sensing …
GroundTruth: Augmenting Expert Image Geolocation with …
Our mixed-methods evaluation with 11 experts and 567 crowd workers found that GroundTruth helped experts geolocate images, and revealed challenges and success strategies for …
Combining automatic and manual image analysis in a web …
and time-consuming manual image analysis. Even when using crowdsourcing or volunteer networks, the workload can quickly become challenging when larger areas have to be monitored over …
LNCS 7478 - Crowdsourcing Satellite Imagery Analysis: Study …
Crowdsourcing Satellite Imagery Analysis: Study of Parallel and Iterative Models NicolasMaisonneuveandBastienChopard …
CROWD-SOURCING SATELLITE IMAGE ANALYSIS
Satellite image analysis is a time consuming task whose outputs may be requested in very short time frames, as for instance in rapid mapping for disaster management. Unfortunately, automatic …
Crowdsourcing Geospatial Data for Earth and Human …
In this study, we conduct an exhaustive analysis of the cur - rent efforts, possibilities, and obstacles associated with crowd-sourced geospatial data across two fundamental perspectives: human …
Combining Human Computing and Machine Learning to Make …
Dec 10, 2015 · Crowdsourcing can be used to annotate features of interest in aerial images (such as damaged shelters and roads blocked by debris). These human-annotated features can then be …
AI-based system for satellite image analysis: Landuse and land …
By harnessing the power of AI, this system aims to enhance resource monitoring, urban planning, and decision-making processes while reducing the dependence on crowdsourcing platforms and …
Supporting Image Geolocation with Diagramming and …
In this paper, we explore how crowdsourcing can sup-port this geolocation process, with the goal of helping an expert locate an image faster and more accurately. Crowds have proven to be …
Cartoscope: A Crowdsourcing Platform for Image Analysis in …
Introducing variety by switching task type at different frequencies can engage crowdsourcing participants better than uniform subtask types [2]. Currently developing dynamic mechanisms …
Self-Conguring nnU-Nets Detect Clouds in Satellite Images
Abstract Cloud detection is a pivotal satellite image pre-processing step that can be performed both on the ground and on board a satellite to tag useful images. In the latter case, it can help to …
Citizen Science and Crowdsourcing for Earth Observations: An …
science can impact on Satellite Observations and explore its potential through four demonstration projects involving different stake holders and crowdsourcing mechanisms. This paper presents …
Satellite technology: Analysing complex imagery to generate …
Satellite imagery is used to extract several remote sensing indices which will be explained in detail further in this article. These can be leveraged to evaluate climatic conditions and the quality of …
Crisis Mapping and Crowdsourcing in Complex Emergencies
Crisis mappers secure satellite imagery, photos, video, event data, incident data, and other documentary evidence to create an operational picture of a disaster in order to facilitate …
E2mC: Improving Emergency Management Service Practice …
While satellite imagery is still a valuable source for disaster management, information products can be improved through complementing them with user-generated data like social media posts or …
Crowdsourcing earthquake damage assessment using remote …
Jan 12, 2010 · This paper describes the evolution of recent work on using crowdsourced analysis of remote sensing imagery, particularly high-resolution aerial imagery, to provide rapid, reliable …
Crowd-sourced Crisis Data: Ethical and Legal Concerns
Digital humanitarian networks offer the task of data analysis to volunteer communities. In near future, more accurate digital data i.e. image, geo-location and text, collected through excellent …
Satellite image analysis using crowdsourcing data for …
important gaps in crowdsourced satellite image analysis by means of crowdsourcing in areas such as land cover classification and emergency management. In this paper, we...
Geolocating Images with Crowdsourcing and Diagramming
In this paper, we explore how crowdsourcing can be used to support expert image geolocation. We adapt an expert diagramming tech-nique to overcome spatial reasoning limitations of …
Crowdsourcing to enhance insights from satellite observations
This chapter discusses the experience of the European Space Agency funded Crowd4Sat project led by the University of Shef-field that investigated different facets of how crowdsourcing and …
A review of crowdsourced geographic information for land …
addressed the challenges and prospects of satellite image analysis in collaborative mapping through crowdsourcing. Yin et al. (2021) examined the integration strategies of remote sensing …
GroundTruth: Augmenting Expert Image Geolocation with …
Our mixed-methods evaluation with 11 experts and 567 crowd workers found that GroundTruth helped experts geolocate images, and revealed challenges and success strategies for …
Combining automatic and manual image analysis in a web …
and time-consuming manual image analysis. Even when using crowdsourcing or volunteer networks, the workload can quickly become challenging when larger areas have to be …
LNCS 7478 - Crowdsourcing Satellite Imagery Analysis: …
Crowdsourcing Satellite Imagery Analysis: Study of Parallel and Iterative Models NicolasMaisonneuveandBastienChopard …
CROWD-SOURCING SATELLITE IMAGE ANALYSIS
Satellite image analysis is a time consuming task whose outputs may be requested in very short time frames, as for instance in rapid mapping for disaster management. Unfortunately, …
Crowdsourcing Geospatial Data for Earth and Human …
In this study, we conduct an exhaustive analysis of the cur - rent efforts, possibilities, and obstacles associated with crowd-sourced geospatial data across two fundamental …
Combining Human Computing and Machine Learning to …
Dec 10, 2015 · Crowdsourcing can be used to annotate features of interest in aerial images (such as damaged shelters and roads blocked by debris). These human-annotated features can then …
AI-based system for satellite image analysis: Landuse and …
By harnessing the power of AI, this system aims to enhance resource monitoring, urban planning, and decision-making processes while reducing the dependence on crowdsourcing platforms …
Supporting Image Geolocation with Diagramming and …
In this paper, we explore how crowdsourcing can sup-port this geolocation process, with the goal of helping an expert locate an image faster and more accurately. Crowds have proven to be …
Cartoscope: A Crowdsourcing Platform for Image Analysis in …
Introducing variety by switching task type at different frequencies can engage crowdsourcing participants better than uniform subtask types [2]. Currently developing dynamic mechanisms …
Self-Conguring nnU-Nets Detect Clouds in Satellite Images
Abstract Cloud detection is a pivotal satellite image pre-processing step that can be performed both on the ground and on board a satellite to tag useful images. In the latter case, it can help …
Citizen Science and Crowdsourcing for Earth Observations: …
science can impact on Satellite Observations and explore its potential through four demonstration projects involving different stake holders and crowdsourcing mechanisms. This paper presents …
Satellite technology: Analysing complex imagery to generate …
Satellite imagery is used to extract several remote sensing indices which will be explained in detail further in this article. These can be leveraged to evaluate climatic conditions and the quality of …
Crisis Mapping and Crowdsourcing in Complex Emergencies
Crisis mappers secure satellite imagery, photos, video, event data, incident data, and other documentary evidence to create an operational picture of a disaster in order to facilitate …
E2mC: Improving Emergency Management Service Practice …
While satellite imagery is still a valuable source for disaster management, information products can be improved through complementing them with user-generated data like social media …
Crowdsourcing earthquake damage assessment using …
Jan 12, 2010 · This paper describes the evolution of recent work on using crowdsourced analysis of remote sensing imagery, particularly high-resolution aerial imagery, to provide rapid, reliable …
Crowd-sourced Crisis Data: Ethical and Legal Concerns
Digital humanitarian networks offer the task of data analysis to volunteer communities. In near future, more accurate digital data i.e. image, geo-location and text, collected through excellent …
