Cloud Computing In Remote Sensing

Cloud Computing In Remote Sensing Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Cloud Computing In Remote Sensing book. This book definitely worth reading, it is an incredibly well-written.

Cloud Computing in Remote Sensing

Lizhe Wang,Jining Yan,Yan Ma
Cloud Computing in Remote Sensing Book PDF

Author : Lizhe Wang,Jining Yan,Yan Ma
Publisher : CRC Press
Page : 283 pages
File Size : 52,5 Mb
Release : 2019-07-11
Category : Computers
ISBN : 9780429949876

Get Book

Cloud Computing in Remote Sensing by Lizhe Wang,Jining Yan,Yan Ma Pdf

This book provides the users with quick and easy data acquisition, processing, storage and product generation services. It describes the entire life cycle of remote sensing data and builds an entire high performance remote sensing data processing system framework. It also develops a series of remote sensing data management and processing standards. Features: Covers remote sensing cloud computing Covers remote sensing data integration across distributed data centers Covers cloud storage based remote sensing data share service Covers high performance remote sensing data processing Covers distributed remote sensing products analysis

Remote Sensing Big Data

Liping Di,Eugene Yu
Remote Sensing Big Data Book PDF

Author : Liping Di,Eugene Yu
Publisher : Springer Nature
Page : 298 pages
File Size : 51,5 Mb
Release : 2023-07-24
Category : Technology & Engineering
ISBN : 9783031339325

Get Book

Remote Sensing Big Data by Liping Di,Eugene Yu Pdf

This monograph provides comprehensive coverage of the collection, management, and use of big data obtained from remote sensing. The book begins with an introduction to the basics of big data and remote sensing, laying the groundwork for the more specialized information to follow. The volume then goes on to address a wide variety of topics related to the use and management of remote sensing big data, including hot topics such as analysis through machine learning, cyberinfrastructure, and modeling. Examples on how to use the results of big data analysis of remotely sensed data for concrete decision-making are offered as well. The closing chapters discuss geospatial big data initiatives throughout the world and future challenges and opportunities for remote sensing big data applications. The audience for this book includes researchers at the intersection of geoscience and data science, senior undergraduate and graduate students, and anyone else interested in how large datasets obtained through remote sensing can be best utilized. The book presents a culmination of 30 years of research from renowned spatial scientists Drs. Liping Di and Eugene Yu.

Cloud Computing for Geospatial Big Data Analytics

Himansu Das,Rabindra K. Barik,Harishchandra Dubey,Diptendu Sinha Roy
Cloud Computing for Geospatial Big Data Analytics Book PDF

Author : Himansu Das,Rabindra K. Barik,Harishchandra Dubey,Diptendu Sinha Roy
Publisher : Springer
Page : 289 pages
File Size : 52,8 Mb
Release : 2018-12-11
Category : Technology & Engineering
ISBN : 9783030033590

Get Book

Cloud Computing for Geospatial Big Data Analytics by Himansu Das,Rabindra K. Barik,Harishchandra Dubey,Diptendu Sinha Roy Pdf

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.

Cloud-Based Remote Sensing with Google Earth Engine

Jeffrey A. Cardille,Morgan A. Crowley,David Saah,Nicholas E. Clinton
Cloud Based Remote Sensing with Google Earth Engine Book PDF

Author : Jeffrey A. Cardille,Morgan A. Crowley,David Saah,Nicholas E. Clinton
Publisher : Springer Nature
Page : 1210 pages
File Size : 46,5 Mb
Release : 2023-10-04
Category : Science
ISBN : 9783031265884

Get Book

Cloud-Based Remote Sensing with Google Earth Engine by Jeffrey A. Cardille,Morgan A. Crowley,David Saah,Nicholas E. Clinton Pdf

This book guides its audience—which can range from novice users to experts— though a 55-chapter tour of Google Earth Engine. A sequenced and diverse set of lab materials, this is the product of more than a year of effort from more than a hundred individuals, collecting new exercises from professors, undergraduates, master’s students, PhD students, postdocs, and independent consultants. Cloud Based Remote Sensing with Google Earth Engine is broadly organized into two halves. The first half, Fundamentals, is a set of 31 labs designed to take the reader from being a complete Earth Engine novice to being a quite advanced user. The second half, Applications, presents a tour of the world of Earth Engine across 24 chapters, showing how it is used in a very wide variety of settings that rely on remote-sensing data This is an open access book.

Spatial Cloud Computing

Chaowei Yang,Qunying Huang
Spatial Cloud Computing Book PDF

Author : Chaowei Yang,Qunying Huang
Publisher : CRC Press
Page : 376 pages
File Size : 41,9 Mb
Release : 2013-12-04
Category : Computers
ISBN : 9781466593169

Get Book

Spatial Cloud Computing by Chaowei Yang,Qunying Huang Pdf

An exploration of the benefits of cloud computing in geoscience research and applications as well as future research directions, Spatial Cloud Computing: A Practical Approach discusses the essential elements of cloud computing and their advantages for geoscience. Using practical examples, it details the geoscience requirements of cloud computing, covers general procedures and considerations when migrating geoscience applications onto cloud services, and demonstrates how to deploy different applications. The book discusses how to choose cloud services based on the general cloud computing measurement criteria and cloud computing cost models. The authors examine the readiness of cloud computing to support geoscience applications using open source cloud software solutions and commercial cloud services. They then review future research and developments in data, computation, concurrency, and spatiotemporal intensities of geosciences and how cloud service can be leveraged to meet the challenges. They also introduce research directions from the aspects of technology, vision, and social dimensions. Spatial Cloud Computing: A Practical Approach a common workflow for deploying geoscience applications and provides references to the concepts, technical details, and operational guidelines of cloud computing. These features and more give developers, geoscientists, and IT professionals the information required to make decisions about how to select and deploy cloud services.

Google Earth Engine Applications

Lalit Kumar,Onisimo Mutanga
Google Earth Engine Applications Book PDF

Author : Lalit Kumar,Onisimo Mutanga
Publisher : MDPI
Page : 420 pages
File Size : 41,5 Mb
Release : 2019-04-23
Category : Science
ISBN : 9783038978848

Get Book

Google Earth Engine Applications by Lalit Kumar,Onisimo Mutanga Pdf

In a rapidly changing world, there is an ever-increasing need to monitor the Earth’s resources and manage it sustainably for future generations. Earth observation from satellites is critical to provide information required for informed and timely decision making in this regard. Satellite-based earth observation has advanced rapidly over the last 50 years, and there is a plethora of satellite sensors imaging the Earth at finer spatial and spectral resolutions as well as high temporal resolutions. The amount of data available for any single location on the Earth is now at the petabyte-scale. An ever-increasing capacity and computing power is needed to handle such large datasets. The Google Earth Engine (GEE) is a cloud-based computing platform that was established by Google to support such data processing. This facility allows for the storage, processing and analysis of spatial data using centralized high-power computing resources, allowing scientists, researchers, hobbyists and anyone else interested in such fields to mine this data and understand the changes occurring on the Earth’s surface. This book presents research that applies the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross primary productivity, among others. Datasets used range from coarse spatial resolution data, such as MODIS, to medium resolution datasets (Worldview -2), and the studies cover the entire globe at varying spatial and temporal scales.

Big Data Analytics for Satellite Image Processing and Remote Sensing

Swarnalatha, P.,Sevugan, Prabu
Big Data Analytics for Satellite Image Processing and Remote Sensing Book PDF

Author : Swarnalatha, P.,Sevugan, Prabu
Publisher : IGI Global
Page : 253 pages
File Size : 44,8 Mb
Release : 2018-03-09
Category : Technology & Engineering
ISBN : 9781522536444

Get Book

Big Data Analytics for Satellite Image Processing and Remote Sensing by Swarnalatha, P.,Sevugan, Prabu Pdf

The scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization. Big Data Analytics for Satellite Image Processing and Remote Sensing is a critical scholarly resource that examines the challenges and difficulties of implementing big data in image processing for remote sensing and related areas. Featuring coverage on a broad range of topics, such as distributed computing, parallel processing, and spatial data, this book is geared towards scientists, professionals, researchers, and academicians seeking current research on the use of big data analytics in satellite image processing and remote sensing.

Hyperspectral Image Analysis

Saurabh Prasad,Jocelyn Chanussot
Hyperspectral Image Analysis Book PDF

Author : Saurabh Prasad,Jocelyn Chanussot
Publisher : Springer Nature
Page : 464 pages
File Size : 51,6 Mb
Release : 2020-04-27
Category : Computers
ISBN : 9783030386177

Get Book

Hyperspectral Image Analysis by Saurabh Prasad,Jocelyn Chanussot Pdf

This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance learning, sparse representation based learning, low-dimensional manifold models, anomalous change detection, target recognition, sensor fusion and super-resolution for robust multispectral and hyperspectral image understanding. It presents research from leading international experts who have made foundational contributions in these areas. The book covers a diverse array of applications of multispectral/hyperspectral imagery in the context of these algorithms, including remote sensing, face recognition and biomedicine. This book would be particularly beneficial to graduate students and researchers who are taking advanced courses in (or are working in) the areas of image analysis, machine learning and remote sensing with multi-channel optical imagery. Researchers and professionals in academia and industry working in areas such as electrical engineering, civil and environmental engineering, geosciences and biomedical image processing, who work with multi-channel optical data will find this book useful.

Remotely Sensed Data Characterization, Classification, and Accuracies

Ph.D., Prasad S. Thenkabail
Remotely Sensed Data Characterization Classification and Accuracies Book PDF

Author : Ph.D., Prasad S. Thenkabail
Publisher : CRC Press
Page : 698 pages
File Size : 55,6 Mb
Release : 2015-10-02
Category : Technology & Engineering
ISBN : 9781482217872

Get Book

Remotely Sensed Data Characterization, Classification, and Accuracies by Ph.D., Prasad S. Thenkabail Pdf

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

Remote Sensing Handbook - Three Volume Set

Prasad Thenkabail
Remote Sensing Handbook Three Volume Set Book PDF

Author : Prasad Thenkabail
Publisher : CRC Press
Page : 2304 pages
File Size : 47,8 Mb
Release : 2018-10-03
Category : Technology & Engineering
ISBN : 9781482282672

Get Book

Remote Sensing Handbook - Three Volume Set by Prasad Thenkabail Pdf

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

Remote Sensing Image Fusion

Christine Pohl,John van Genderen
Remote Sensing Image Fusion Book PDF

Author : Christine Pohl,John van Genderen
Publisher : CRC Press
Page : 289 pages
File Size : 49,8 Mb
Release : 2016-10-03
Category : Technology & Engineering
ISBN : 9781498730037

Get Book

Remote Sensing Image Fusion by Christine Pohl,John van Genderen Pdf

Remote Sensing Image Fusion: A Practical Guide gives an introduction to remote sensing image fusion providing an overview on the sensors and applications. It describes data selection, application requirements and the choice of a suitable image fusion technique. It comprises a diverse selection of successful image fusion cases that are relevant to other users and other areas of interest around the world. The book helps newcomers to obtain a quick start into the practical value and benefits of multi-sensor image fusion. Experts will find this book useful to obtain an overview on the state of the art and understand current constraints that need to be solved in future research efforts. For industry professionals the book can be a great introduction and basis to understand multisensor remote sensing image exploitation and the development of commercialized image fusion software from a practical perspective. The book concludes with a chapter on current trends and future developments in remote sensing image fusion. Along with the book, RSIF website provides additional up-to-date information in the field.

Earth Observation Open Science and Innovation

Pierre-Philippe Mathieu,Christoph Aubrecht
Earth Observation Open Science and Innovation Book PDF

Author : Pierre-Philippe Mathieu,Christoph Aubrecht
Publisher : Springer
Page : 328 pages
File Size : 40,6 Mb
Release : 2018-01-23
Category : Science
ISBN : 9783319656335

Get Book

Earth Observation Open Science and Innovation by Pierre-Philippe Mathieu,Christoph Aubrecht Pdf

This book is published open access under a CC BY 4.0 license. Over the past decades, rapid developments in digital and sensing technologies, such as the Cloud, Web and Internet of Things, have dramatically changed the way we live and work. The digital transformation is revolutionizing our ability to monitor our planet and transforming the way we access, process and exploit Earth Observation data from satellites. This book reviews these megatrends and their implications for the Earth Observation community as well as the wider data economy. It provides insight into new paradigms of Open Science and Innovation applied to space data, which are characterized by openness, access to large volume of complex data, wide availability of new community tools, new techniques for big data analytics such as Artificial Intelligence, unprecedented level of computing power, and new types of collaboration among researchers, innovators, entrepreneurs and citizen scientists. In addition, this book aims to provide readers with some reflections on the future of Earth Observation, highlighting through a series of use cases not just the new opportunities created by the New Space revolution, but also the new challenges that must be addressed in order to make the most of the large volume of complex and diverse data delivered by the new generation of satellites.

Rough Sets and Knowledge Technology

Tianrui Li,Hung Son Nguyen,Guoyin Wang,Jerzy W. Grzymala-Busse,Ryszard Janicki,Aboul-Ella Hassanien,Hong Yu
Rough Sets and Knowledge Technology Book PDF

Author : Tianrui Li,Hung Son Nguyen,Guoyin Wang,Jerzy W. Grzymala-Busse,Ryszard Janicki,Aboul-Ella Hassanien,Hong Yu
Publisher : Springer
Page : 0 pages
File Size : 46,7 Mb
Release : 2012-08-02
Category : Computers
ISBN : 3642318991

Get Book

Rough Sets and Knowledge Technology by Tianrui Li,Hung Son Nguyen,Guoyin Wang,Jerzy W. Grzymala-Busse,Ryszard Janicki,Aboul-Ella Hassanien,Hong Yu Pdf

This book constitutes the refereed proceedings of the 7th International Conference on Rough Sets and Knowledge Technology, RSKT 2012, held in Chengdu, China during August 2012, as one of the co-located conferences of the 2012 Joint Rough Set Symposium, JRS 2012. The 63 revised papers (including 42 regular and 21 short papers) were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on rough sets and its generalizations, rough sets in data and knowledge processing, knowledge technology, advances in granular computing (AGC 2012 workshop), decision-theoretic rough set model and applications (special session), intelligent decision making and granular computing (special session), rough set foundations (special session).

Urban High-Resolution Remote Sensing

Guoqing Zhou
Urban High Resolution Remote Sensing Book PDF

Author : Guoqing Zhou
Publisher : CRC Press
Page : 368 pages
File Size : 42,7 Mb
Release : 2020-12-21
Category : Technology & Engineering
ISBN : 9781000287691

Get Book

Urban High-Resolution Remote Sensing by Guoqing Zhou Pdf

Provides advances in emerging methods and algorithms in image processing and technology Uses algorithms and methodologies for handling high-resolution imagery from a ground sampling distance (GSD) less than 1.0 meter Focuses on 3D urban modelling, orthorectification methodologies, and urban feature extraction algorithms from high-resolution remotely sensed imagery Demonstrates how to apply up-to-date techniques to the problems identified and how to analyze research results Presents methods and algorithms for monitoring, analyzing, and modeling urban growth, urban planning, and socio-economic developments

Big Data, Cloud Computing and IoT

Sita Rani,Pankaj Bhambri,Aman Kataria,Alex Khang,Arun Kumar Sivaraman
Big Data Cloud Computing and IoT Book PDF

Author : Sita Rani,Pankaj Bhambri,Aman Kataria,Alex Khang,Arun Kumar Sivaraman
Publisher : CRC Press
Page : 259 pages
File Size : 53,5 Mb
Release : 2023-04-19
Category : Computers
ISBN : 9781000862362

Get Book

Big Data, Cloud Computing and IoT by Sita Rani,Pankaj Bhambri,Aman Kataria,Alex Khang,Arun Kumar Sivaraman Pdf

Cloud computing, the Internet of Things (IoT), and big data are three significant technological trends affecting the world's largest corporations. This book discusses big data, cloud computing, and the IoT, with a focus on the benefits and implementation problems. In addition, it examines the many structures and applications pertinent to these disciplines. Also, big data, cloud computing, and the IoT are proposed as possible study avenues. Features: Informs about cloud computing, IoT and big data, including theoretical foundations and the most recent empirical findings Provides essential research on the relationship between various technologies and the aggregate influence they have on solving real-world problems Ideal for academicians, developers, researchers, computer scientists, practitioners, information technology professionals, students, scholars, and engineers exploring research on the incorporation of technological innovations to address contemporary societal challenges