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Advances in Scalable and Intelligent Geospatial Analytics

Advances in Scalable and Intelligent Geospatial Analytics PDF Author: Surya S Durbha
Publisher: CRC Press
ISBN: 1000877485
Category : Technology & Engineering
Languages : en
Pages : 423

Book Description
Geospatial data acquisition and analysis techniques have experienced tremendous growth in the last few years, providing an opportunity to solve previously unsolved environmental- and natural resource-related problems. However, a variety of challenges are encountered in processing the highly voluminous geospatial data in a scalable and efficient manner. Technological advancements in high-performance computing, computer vision, and big data analytics are enabling the processing of big geospatial data in an efficient and timely manner. Many geospatial communities have already adopted these techniques in multidisciplinary geospatial applications around the world. This book is a single source that offers a comprehensive overview of the state of the art and future developments in this domain. FEATURES Demonstrates the recent advances in geospatial analytics tools, technologies, and algorithms Provides insight and direction to the geospatial community regarding the future trends in scalable and intelligent geospatial analytics Exhibits recent geospatial applications and demonstrates innovative ways to use big geospatial data to address various domain-specific, real-world problems Recognizes the analytical and computational challenges posed and opportunities provided by the increased volume, velocity, and veracity of geospatial data This book is beneficial to graduate and postgraduate students, academicians, research scholars, working professionals, industry experts, and government research agencies working in the geospatial domain, where GIS and remote sensing are used for a variety of purposes. Readers will gain insights into the emerging trends on scalable geospatial data analytics.

Advances in Scalable and Intelligent Geospatial Analytics

Advances in Scalable and Intelligent Geospatial Analytics PDF Author: Surya S Durbha
Publisher: CRC Press
ISBN: 1000877485
Category : Technology & Engineering
Languages : en
Pages : 423

Book Description
Geospatial data acquisition and analysis techniques have experienced tremendous growth in the last few years, providing an opportunity to solve previously unsolved environmental- and natural resource-related problems. However, a variety of challenges are encountered in processing the highly voluminous geospatial data in a scalable and efficient manner. Technological advancements in high-performance computing, computer vision, and big data analytics are enabling the processing of big geospatial data in an efficient and timely manner. Many geospatial communities have already adopted these techniques in multidisciplinary geospatial applications around the world. This book is a single source that offers a comprehensive overview of the state of the art and future developments in this domain. FEATURES Demonstrates the recent advances in geospatial analytics tools, technologies, and algorithms Provides insight and direction to the geospatial community regarding the future trends in scalable and intelligent geospatial analytics Exhibits recent geospatial applications and demonstrates innovative ways to use big geospatial data to address various domain-specific, real-world problems Recognizes the analytical and computational challenges posed and opportunities provided by the increased volume, velocity, and veracity of geospatial data This book is beneficial to graduate and postgraduate students, academicians, research scholars, working professionals, industry experts, and government research agencies working in the geospatial domain, where GIS and remote sensing are used for a variety of purposes. Readers will gain insights into the emerging trends on scalable geospatial data analytics.

Geospatial Data Science Quick Start Guide

Geospatial Data Science Quick Start Guide PDF Author: Abdishakur Hassan
Publisher: Packt Publishing Ltd
ISBN: 1789809339
Category : Computers
Languages : en
Pages : 165

Book Description
Discover the power of location data to build effective, intelligent data models with Geospatial ecosystems Key FeaturesManipulate location-based data and create intelligent geospatial data modelsBuild effective location recommendation systems used by popular companies such as UberA hands-on guide to help you consume spatial data and parallelize GIS operations effectivelyBook Description Data scientists, who have access to vast data streams, are a bit myopic when it comes to intrinsic and extrinsic location-based data and are missing out on the intelligence it can provide to their models. This book demonstrates effective techniques for using the power of data science and geospatial intelligence to build effective, intelligent data models that make use of location-based data to give useful predictions and analyses. This book begins with a quick overview of the fundamentals of location-based data and how techniques such as Exploratory Data Analysis can be applied to it. We then delve into spatial operations such as computing distances, areas, extents, centroids, buffer polygons, intersecting geometries, geocoding, and more, which adds additional context to location data. Moving ahead, you will learn how to quickly build and deploy a geo-fencing system using Python. Lastly, you will learn how to leverage geospatial analysis techniques in popular recommendation systems such as collaborative filtering and location-based recommendations, and more. By the end of the book, you will be a rockstar when it comes to performing geospatial analysis with ease. What you will learnLearn how companies now use location dataSet up your Python environment and install Python geospatial packagesVisualize spatial data as graphsExtract geometry from spatial dataPerform spatial regression from scratchBuild web applications which dynamically references geospatial dataWho this book is for Data Scientists who would like to leverage location-based data and want to use location-based intelligence in their data models will find this book useful. This book is also for GIS developers who wish to incorporate data analysis in their projects. Knowledge of Python programming and some basic understanding of data analysis are all you need to get the most out of this book.

Driving Decentralization and Disruption With Digital Technologies

Driving Decentralization and Disruption With Digital Technologies PDF Author: Verma, Balraj
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 342

Book Description
Amid an unprecedented digital revolution, our society grapples with profound challenges, from the upheaval of traditional global systems to the ethical implications of technology's inexorable advance. As academic scholars seek a comprehensive understanding of this dynamic environment, Driving Decentralization and Disruption With Digital Technologies emerges as a beacon of insight. This compelling book confronts the intricate issues spawned by decentralization, de-globalization, and the transformative power of digital technologies, providing a roadmap for traversing the complexities of our digitally connected world. The book starts by unraveling the disruptive forces at play, shedding light on the threats posed to existing hierarchies and the potential consequences for disadvantaged groups. Digital disintermediation, driven by platforms and peer-to-peer networks, shakes the foundations of traditional economic systems, leaving banks and markets in flux. As global relationships redefine themselves in the face of decentralized markets, supply chains, and economic ties, scholars grapple with the profound implications for the future.

New Research Directions for the National Geospatial-Intelligence Agency

New Research Directions for the National Geospatial-Intelligence Agency PDF Author: National Research Council
Publisher: National Academies Press
ISBN: 0309158656
Category : Technology & Engineering
Languages : en
Pages : 70

Book Description
The National Geospatial-Intelligence Agency (NGA) within the Department of Defense has the primary mission of providing timely, relevant, and accurate imagery, imagery intelligence, and geospatial information-collectively known as geospatial intelligence (GEOINT)-in support of national security. In support of its mission, NGA sponsors research that builds the scientific foundation for geospatial intelligence and that reinforces the academic base, thus training the next generation of NGA analysts while developing new approaches to analytical problems. Historically, NGA has supported research in five core areas: (1) photogrammetry and geomatics, (2) remote sensing and imagery science, (3) geodesy and geophysics, (4) cartographic science, and (5) geographic information systems (GIS) and geospatial analysis. Positioning NGA for the future is the responsibility of the InnoVision Directorate, which analyzes intelligence trends, technological advances, and emerging customer and partner concepts to provide cutting-edge technology and process solutions. At the request of InnoVision, the National Research Council (NRC) held a 3-day workshop to explore the evolution of the five core research areas and to identify emerging disciplines that may improve the quality of geospatial intelligence over the next 15 years. This workshop report offers a potential research agenda that would expand NGA's capabilities and improve its effectiveness in providing geospatial intelligence.

Geographic Information Systems in Geospatial Intelligence

Geographic Information Systems in Geospatial Intelligence PDF Author: Rustam B. Rustamov
Publisher: BoD – Books on Demand
ISBN: 1838805044
Category : Digital mapping
Languages : en
Pages : 187

Book Description
Earth observation systems, by use of space science and technology advances, present a large-scale opportunity for applying remote sensing methods with geographical information system (GIS) developments. Integrating these two methods makes it possible to achieve high-accuracy satellite data processing. This book considers aspects of GIS technology applications with space science technology and innovation approaches. It examines the potential of Earth observation satellite systems as well as existing challenges and problems in the field. Chapters cover topics such as RGB-D sensors for autonomous pothole detection, machine learning in GIS, interferometric synthetic aperture radar (InSAR) modeling, and others.

Future U.S. Workforce for Geospatial Intelligence

Future U.S. Workforce for Geospatial Intelligence PDF Author: National Research Council
Publisher: National Academies Press
ISBN: 0309268648
Category : Technology & Engineering
Languages : en
Pages : 185

Book Description
We live in a changing world with multiple and evolving threats to national security, including terrorism, asymmetrical warfare (conflicts between agents with different military powers or tactics), and social unrest. Visually depicting and assessing these threats using imagery and other geographically-referenced information is the mission of the National Geospatial-Intelligence Agency (NGA). As the nature of the threat evolves, so do the tools, knowledge, and skills needed to respond. The challenge for NGA is to maintain a workforce that can deal with evolving threats to national security, ongoing scientific and technological advances, and changing skills and expectations of workers. Future U.S. Workforce for Geospatial Intelligence assesses the supply of expertise in 10 geospatial intelligence (GEOINT) fields, including 5 traditional areas (geodesy and geophysics, photogrammetry, remote sensing, cartographic science, and geographic information systems and geospatial analysis) and 5 emerging areas that could improve geospatial intelligence (GEOINT fusion, crowdsourcing, human geography, visual analytics, and forecasting). The report also identifies gaps in expertise relative to NGA's needs and suggests ways to ensure an adequate supply of geospatial intelligence expertise over the next 20 years.

Cloud Computing for Geospatial Big Data Analytics

Cloud Computing for Geospatial Big Data Analytics PDF Author: Himansu Das
Publisher: Springer
ISBN: 3030033597
Category : Technology & Engineering
Languages : en
Pages : 289

Book Description
This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge and mist computing play an important role in addressing these issues. By exploring emerging advances in cloud computing and big data analytics and their engineering applications, the book enables researchers to understand the mechanisms needed to implement cloud, edge, fog, and mist computing in their own endeavours, and motivates them to examine their own research findings and developments.

Geospatial Intelligence: Concepts, Methodologies, Tools, and Applications

Geospatial Intelligence: Concepts, Methodologies, Tools, and Applications PDF Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1522580557
Category : Technology & Engineering
Languages : en
Pages : 1853

Book Description
Decision makers, such as government officials, need to better understand human activity in order to make informed decisions. With the ability to measure and explore geographic space through the use of geospatial intelligence data sources including imagery and mapping data, they are better able to measure factors affecting the human population. As a broad field of study, geospatial research has applications in a variety of fields including military science, environmental science, civil engineering, and space exploration. Geospatial Intelligence: Concepts, Methodologies, Tools, and Applications explores multidisciplinary applications of geographic information systems to describe, assess, and visually depict physical features and to gather data, information, and knowledge regarding human activity. Highlighting a range of topics such as geovisualization, spatial analysis, and landscape mapping, this multi-volume book is ideally designed for data scientists, engineers, government agencies, researchers, and graduate-level students in GIS programs.

Priorities for GEOINT Research at the National Geospatial-Intelligence Agency

Priorities for GEOINT Research at the National Geospatial-Intelligence Agency PDF Author: National Research Council
Publisher: National Academies Press
ISBN: 0309101492
Category : Political Science
Languages : en
Pages : 114

Book Description
The National Geospatial-Intelligence Agency (NGA) provides geospatial intelligence (GEOINT) to support national security, both as a national intelligence and a combat support agency. In the post-9/11 world, the need for faster and more accurate geospatial intelligence is increasing. GEOINT uses imagery and geospatial data and information to provide knowledge for planning, decisions, and action. For example, data from satellites, pilotless aircraft and ground sensors are integrated with maps and other intelligence data to provide location information on a potential target. This report defines 12 hard problems in geospatial science that NGA must resolve in order to evolve their capabilities to meet future needs. Many of the hard research problems are related to integration of data collected from an ever-growing variety of sensors and non-spatial data sources, and analysis of spatial data collected during a sequence of time (spatio-temporal data). The report also suggests promising approaches in geospatial science and related disciplines for meeting these challenges. The results of this study are intended to help NGA prioritize geospatial science research directions.

Geospatial Intelligence

Geospatial Intelligence PDF Author: Fatimazahra Barramou
Publisher: Springer
ISBN: 9783030804572
Category : Computers
Languages : en
Pages : 0

Book Description
This book explores cutting-edge methods combining geospatial technologies and artificial intelligence related to several fields such as smart farming, urban planning, geology, transportation, and 3D city models. It introduces techniques which range from machine and deep learning to remote sensing for geospatial data analysis. The book consists of two main parts that include 13 chapters contributed by promising authors. The first part deals with the use of artificial intelligence techniques to improve spatial data analysis, whereas the second part focuses on the use of artificial intelligence with remote sensing in various fields. Throughout the chapters, the interest for the use of artificial intelligence is demonstrated for different geospatial technologies such as aerial imagery, drones, Lidar, satellite remote sensing, and more. The work in this book is dedicated to the scientific community interested in the coupling of geospatial technologies and artificial intelligence and exploring the synergetic effects of both fields. It offers practitioners and researchers from academia, the industry and government information, experiences and research results about all aspects of specialized and interdisciplinary fields on geospatial intelligence.