Download or read book Detailed Urban Land cover Mapping Using a Data Fusion Procedure written by Amit A. Kokje and published by . This book was released on 2015 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significance of urban land-cover information has increased greatly in the past decade following the rapid growth of geo-location services. Efforts to automate existing labour-intensive and time-consuming thematic data acquisition and updating procedures gained considerable momentum once very high-resolution images were provided by a fleet of satellites. However, the procedures for extracting land-cover information from such images failed to produce acceptable results for spectrally and spatially-complex urban land features. Attempts have been made to integrate information that is complementary to the spectral and spatial data in order to successfully overcome the typical problems faced by reflectance-based classification methods. Most such data fusion endeavours are specially customised and feature specific procedures, but fail to adapt to different urban scenarios. This study tackles the problems commonly associated with urban land-cover classification through fusing multi-sensory data. A multistage segmentation classification workflow using LiDAR and WorldView-2 data based on existing data fusion methods is developed to identify the land-covers that are normally found in core urban areas. The results show that integration of the height products derived from the 3D LiDAR data brought many benefits. Elevation (nDSM), used as a main data source during image segmentation, produced sharper image object boundaries, thus reducing the impact of shadows. A novel elevation-based feature differentiation step was implemented prior to thematic classification effectively separated a range of spectrally-identical impervious land-covers into two intermediate sub-classes. As a result, it was possible to derive and integrate two separate classification processes targeting a particular group of land-covers. Collectively, the integration of multi-stage procedures and multi-sensory data products significantly improved the thematic classification accuracy, from the 75% obtained using the normal method of spectral classification, to 93%. As a secondary outcome of this study, a spectral index called ZABUD is successfully modified for WorldView-2 multispectral channels. This index is found to be beneficial in identifying impervious asphalt features. The standard nearest neighbour classifier was later replaced with other methods such as the K-nearest neighbour, the support vector machine and the DC-CART, with the obtained results being comparatively assessed at the end of the study. A comparison of the classification accuracies obtained further confirmed the flexibility of the proposed workflow in adapting various procedures to the different scenarios of land-covers.

Download or read book Global Urban Monitoring and Assessment through Earth Observation written by Qihao Weng and published by CRC Press. This book was released on 2014-05-23 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cities and towns are the original producers of many of the global environmental problems related to waste disposal, and air and water pollution. There is a rapidly growing need for technologies that will enable monitoring of the world’s natural resources and urban assets, and managing exposure to natural and man-made risks. The Group on Earth Observation (GEO) calls for strengthening the cooperation and coordination among global observing systems and research programs. Global Urban Monitoring and Assessment through Earth Observation introduces this important international collaborative effort, reviews the current state of global urban remote sensing, and expands on future directions in the field. The book reviews the current state of global urban monitoring, assessment, modeling, and prediction through Earth observation and related technologies. It then introduces GEO’s important international collaborative effort—Global Urban Observation and Information Task—and the current state of global urban remote sensing and future directions. It explores groundbreaking work in urban remote sensing and examines how it could contribute to the development of innovative concepts and techniques for sustainable urban development. Despite significant progress in recent years, there remain substantial gaps in ongoing national, regional, and global efforts to address environmental challenges. Edited by a well-known expert in the field of remote sensing, GIS, and other geospatial technologies, this book addresses the gaps in an effective and long-term manner, highlighting the importance of increased coordination and networking among major stakeholders and of working together with other key international mechanisms. Drawing on the expertise of pioneers in the field from across the globe, the book details emerging research in the theory, methods, and techniques of urban remote sensing that provide insight into how to solve the major issues of sustainable development—one of the most important issues facing society in the future.

Download or read book Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing written by Ni-Bin Chang and published by CRC Press. This book was released on 2018-02-21 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made environment across different scales demands more research efforts in remote sensing. An integrated Earth system observatory that merges surface-based, air-borne, space-borne, and even underground sensors with comprehensive and predictive capabilities indicates promise for revolutionizing the study of global water, energy, and carbon cycles as well as land use and land cover changes. The aim of this book is to present a suite of relevant concepts, tools, and methods of integrated multisensor data fusion and machine learning technologies to promote environmental sustainability. The process of machine learning for intelligent feature extraction consists of regular, deep, and fast learning algorithms. The niche for integrating data fusion and machine learning for remote sensing rests upon the creation of a new scientific architecture in remote sensing science that is designed to support numerical as well as symbolic feature extraction managed by several cognitively oriented machine learning tasks at finer scales. By grouping a suite of satellites with similar nature in platform design, data merging may come to help for cloudy pixel reconstruction over the space domain or concatenation of time series images over the time domain, or even both simultaneously. Organized in 5 parts, from Fundamental Principles of Remote Sensing; Feature Extraction for Remote Sensing; Image and Data Fusion for Remote Sensing; Integrated Data Merging, Data Reconstruction, Data Fusion, and Machine Learning; to Remote Sensing for Environmental Decision Analysis, the book will be a useful reference for graduate students, academic scholars, and working professionals who are involved in the study of Earth systems and the environment for a sustainable future. The new knowledge in this book can be applied successfully in many areas of environmental science and engineering.

Download or read book The Application of Large Format Camera Photography to Detailed Urban Land Use and Land Cover Mapping written by W. Edward Noble and published by . This book was released on 1988 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Remote Sensing Imagery written by Florence Tupin and published by John Wiley & Sons. This book was released on 2014-02-19 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dedicated to remote sensing images, from their acquisition to their use in various applications, this book covers the global lifecycle of images, including sensors and acquisition systems, applications such as movement monitoring or data assimilation, and image and data processing. It is organized in three main parts. The first part presents technological information about remote sensing (choice of satellite orbit and sensors) and elements of physics related to sensing (optics and microwave propagation). The second part presents image processing algorithms and their specificities for radar or optical, multi and hyper-spectral images. The final part is devoted to applications: change detection and analysis of time series, elevation measurement, displacement measurement and data assimilation. Offering a comprehensive survey of the domain of remote sensing imagery with a multi-disciplinary approach, this book is suitable for graduate students and engineers, with backgrounds either in computer science and applied math (signal and image processing) or geo-physics. About the Authors Florence Tupin is Professor at Telecom ParisTech, France. Her research interests include remote sensing imagery, image analysis and interpretation, three-dimensional reconstruction, and synthetic aperture radar, especially for urban remote sensing applications. Jordi Inglada works at the Centre National d’Études Spatiales (French Space Agency), Toulouse, France, in the field of remote sensing image processing at the CESBIO laboratory. He is in charge of the development of image processing algorithms for the operational exploitation of Earth observation images, mainly in the field of multi-temporal image analysis for land use and cover change. Jean-Marie Nicolas is Professor at Telecom ParisTech in the Signal and Imaging department. His research interests include the modeling and processing of synthetic aperture radar images.

Download or read book The applications of large format camera photography to detailed urban land use and land cover mapping a comparison with Thematic Mapper data written by Edward Noble and published by . This book was released on 1989 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Data Fusion in Robotics Machine Intelligence written by Bozzano G Luisa and published by Academic Press. This book was released on 1992-10-12 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the techniques for modeling and integration of data provided by different sensors within robotics and knowledge sources within machine intelligence. Leaders in robotics and machine intelligence capture state-of-the-art technology in data sensor fusion and give a unified vision of the future of the field, presented from both the theoretical and practical angles.

Download or read book Image Fusion and Its Applications written by Yufeng Zheng and published by BoD – Books on Demand. This book was released on 2011-06-24 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to provide an overview of basic image fusion techniques and serve as an introduction to image fusion applications in variant fields. It is anticipated that it will be useful for research scientists to capture recent developments and to spark new ideas within the image fusion domain. With an emphasis on both the basic and advanced applications of image fusion, this 12-chapter book covers a number of unique concepts that have been graphically represented throughout to enhance readability, such as the wavelet-based image fusion introduced in chapter 2 and the 3D fusion that is proposed in Chapter 5. The remainder of the book focuses on the area application-orientated image fusions, which cover the areas of medical applications, remote sensing and GIS, material analysis, face detection, and plant water stress analysis.

Download or read book Urban Expansion Land Cover and Soil Ecosystem Services written by Ciro Gardi and published by Taylor & Francis. This book was released on 2017-04-07 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: More than half of the world population now lives in cities, and urban expansion continues as rural people move to cities. This results in the loss of land for other purposes, particularly soil for agriculture and drainage. This book presents a review of current knowledge of the extension and projected expansion of urban areas at a global scale. Focusing on the impact of the process of 'land take' on soil resources and the ecosystem services that they provide, it describes approaches and methodologies for detecting and measuring urban areas, based mainly on remote sensing, together with a review of models and projected data on urban expansion. The most innovative aspect includes an analysis of the drivers and especially the impacts of soil sealing and land take on ecosystem services, including agriculture and food security, biodiversity, hydrology, climate and landscape. Case studies of cities from Europe, China and Latin America are included. The aim is not only to present and analyse this important environmental challenge, but also to propose and discuss solutions for the limitation, mitigation and compensation of this process.

Download or read book Analysis of Urban Growth and Sprawl from Remote Sensing Data written by Basudeb Bhatta and published by Springer Science & Business Media. This book was released on 2010-03-03 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive discussion on urban growth and sprawl, and how they can be analyzed using remote sensing imageries. It compiles views of numerous researchers that help in understanding the urban growth and sprawl; their patterns, process, causes, consequences, and countermeasures; how remote sensing data and geographic information system techniques can be used in mapping, monitoring, measuring, analyzing, and simulating the urban growth and sprawl and what are the merits and demerits of available methods and models. This book will be of value for the scientists and researchers engaged in urban geographic research, especially using remote sensing imageries. This book will serve as a rigours literature review for them. Post graduate students of urban geography or urban/regional planning may refer this book as additional studies. This book may help the academicians for preparing lecture notes and delivering lectures. Industry professionals may also be benefited from the discussed methods and models along with numerous citations.

Download or read book Register implementation for land cover legends written by Food and Agriculture Organization of the United Nations and published by Food & Agriculture Org.. This book was released on 2021-07-30 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt: Land cover assessment and monitoring of its dynamics are essential requirements for the sustainable management of natural resources, environmental protection, food security, humanitarian programmes as well as core data for monitoring and modelling. Land Cover (LC) data are therefore fundamental in fulfilling the mandates of many United Nations (UN), international and national institutions and programmes. Despite the recognition of such importance, current users of LC data still lack access to sufficient reliable or comparable baseline LC data. These data are essential to tackle the increasing concerns in regard to food security, environmental degradation, and climate change. Critically, maintaining and restoring land resources plays a vital task in tackling climate change, securing biodiversity, and maintaining crucial ecosystem services, while ensuring resilient livelihoods and food security.

Download or read book Data Fusion written by Lucien Wald and published by Presses des MINES. This book was released on 2002 with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book establishes the fundamentals (particularly definitions and architectures) in data fusion. The second part of the book is devoted to methods for the fusion of images. It offers an in-depth presentation of standard and advanced methods for the fusion of multi-modality images.

Download or read book Remote Sensing Handbook Three Volume Set written by Prasad Thenkabail and published by CRC Press. This book was released on 2018-10-03 with total page 2304 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Open Source Geospatial Tools written by Daniel McInerney and published by Springer. This book was released on 2014-11-22 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the use of open source software for geospatial analysis. It demonstrates the effectiveness of the command line interface for handling both vector, raster and 3D geospatial data. Appropriate open-source tools for data processing are clearly explained and discusses how they can be used to solve everyday tasks. A series of fully worked case studies are presented including vector spatial analysis, remote sensing data analysis, landcover classification and LiDAR processing. A hands-on introduction to the application programming interface (API) of GDAL/OGR in Python/C++ is provided for readers who want to extend existing tools and/or develop their own software.

Download or read book Investigation into urban land use mapping using remote sensing data written by Timothy Patrick Boyle and published by . This book was released on 1981 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Intelligence of Things Technologies and Applications written by Nhu-Ngoc Dao and published by Springer Nature. This book was released on 2023-11-20 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In particular, undergraduate, graduate, and researchers may find valuable information to drive their future research. This book is considered a reference for numerous courses such as Artificial Intelligence, Internet of Things, Intelligent Systems, and Mobile Networks. In the industrial area, this book provides information on recent studies in applying AI to IoT developments, which help to align and shorten R&D processes to introduce new classes of intelligent IoT products. This book provides a technical reference for interdisciplinary studies which utilize machine learning and IoT as tools in their fields such as constructional management, smart agriculture, Earth sciences and geo-spatial analysis, intelligent business, and digital transformation in education.

Download or read book Multitemporal Remote Sensing written by Yifang Ban and published by Springer. This book was released on 2016-12-01 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by world renowned scientists, this book provides an excellent overview of a wide array of methods and techniques for the processing and analysis of multitemporal remotely sensed images. These methods and techniques include change detection, multitemporal data fusion, coarse-resolution time series processing, and interferometric SAR multitemporal processing, among others. A broad range of multitemporal datasets are used in their methodology demonstrations and application examples, including multispectral, hyperspectral, SAR and passive microwave data. This book features a variety of application examples covering both land and aquatic environments. Land applications include urban, agriculture, habitat disturbance, vegetation dynamics, soil moisture, land surface albedo, land surface temperature, glacier and disaster recovery. Aquatic applications include monitoring water quality, water surface areas and water fluctuation in wetland areas, spatial distribution patterns and temporal fluctuation trends of global land surface water, as well as evaluation of water quality in several coastal and marine environments. This book will help scientists, practitioners, students gain a greater understanding of how multitemporal remote sensing could be effectively used to monitor our changing planet at local, regional, and global scales.