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Author: Ripudaman Singh
Publisher: CRC Press
ISBN: 1000531457
Category : Technology & Engineering
Languages : en
Pages : 312
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Book Description
Re-envisioning Advances in Remote Sensing: Urbanization, Disasters and Planning aims at portraying varied advancements in remote sensing applications, particularly in the fields of urbanization, disaster management and regional planning perspectives. The book is organized into three sections of overlapping areas of research covering chief remote sensing applications. Apart from introducing the advances in remote sensing through Indian remote sensing developments, it depicts the broader themes of: urbanization and its impacts; geospatial technology for disaster management; and, remote sensing applications in models and planning. It also provides outlook to future research agenda for remote sensing. Features: • Depicts advances in remote sensing in major fields through applications of geospatial technologies. • Covers remote sensing applications in varied aspects of urbanization, urban problems and disasters. • Includes advancements in remote sensing in model building and planning perspectives. • Analyses the usage of smartphones and other digital devices in mapping urban problems and monitoring disaster risks. • Explores future agenda for remote sensing advances and its ever-widening horizon. This book would be of interest to all the researchers and graduate students pursuing studies in the fields of remote sensing, GIS, geospatial technologies, urbanizations, disaster management, regional planning, environmental sciences, natural resource management and related fields.
Author: Ripudaman Singh
Publisher: CRC Press
ISBN: 1000531457
Category : Technology & Engineering
Languages : en
Pages : 312
Get Book Here
Book Description
Re-envisioning Advances in Remote Sensing: Urbanization, Disasters and Planning aims at portraying varied advancements in remote sensing applications, particularly in the fields of urbanization, disaster management and regional planning perspectives. The book is organized into three sections of overlapping areas of research covering chief remote sensing applications. Apart from introducing the advances in remote sensing through Indian remote sensing developments, it depicts the broader themes of: urbanization and its impacts; geospatial technology for disaster management; and, remote sensing applications in models and planning. It also provides outlook to future research agenda for remote sensing. Features: • Depicts advances in remote sensing in major fields through applications of geospatial technologies. • Covers remote sensing applications in varied aspects of urbanization, urban problems and disasters. • Includes advancements in remote sensing in model building and planning perspectives. • Analyses the usage of smartphones and other digital devices in mapping urban problems and monitoring disaster risks. • Explores future agenda for remote sensing advances and its ever-widening horizon. This book would be of interest to all the researchers and graduate students pursuing studies in the fields of remote sensing, GIS, geospatial technologies, urbanizations, disaster management, regional planning, environmental sciences, natural resource management and related fields.
Author: Ripudaman Singh
Publisher: CRC Press
ISBN: 1000347109
Category : Technology & Engineering
Languages : en
Pages : 347
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Book Description
Re-envisioning Remote Sensing Applications: Perspectives from Developing Countries aims at discussing varied applications of remote sensing, with respect to upcoming technologies with diverse themes. Organized into four sections of overlapping areas of research, the book covers chapters with themes related to agriculture, soil and land degradation studies; hydrology, microclimates and climate change impacts; land use/land cover analysis applications; resource analysis and bibliometric studies, culminating with future research agenda. All the topics are supported via case studies and spatial data analysis. Features: Provides the applications of remote sensing in all fields through varied case studies and spatial data analysis Includes soil and land degradation, microclimates, and climate change impacts Covers remote sensing applications in broad areas of agriculture, hydrology, land use/land cover change and resource analysis Discusses usage of GPS-enabled smartphones and digital gadgets used for mapping and spatial analysis Explores future research agenda for applications of remote sensing in post-COVID scenario This book is of interest to researchers and graduate students in environmental sciences, remote sensing, GIS, agricultural scientists and managers, forestry scientists and managers, and water resources scientists and managers.
Author: Ripudaman Singh
Publisher: CRC Press
ISBN: 1000531473
Category : Technology & Engineering
Languages : en
Pages : 333
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Book Description
Re-envisioning Advances in Remote Sensing: Urbanization, Disasters and Planning aims at portraying varied advancements in remote sensing applications, particularly in the fields of urbanization, disaster management and regional planning perspectives. The book is organized into three sections of overlapping areas of research covering chief remote sensing applications. Apart from introducing the advances in remote sensing through Indian remote sensing developments, it depicts the broader themes of: urbanization and its impacts; geospatial technology for disaster management; and, remote sensing applications in models and planning. It also provides outlook to future research agenda for remote sensing. Features: • Depicts advances in remote sensing in major fields through applications of geospatial technologies. • Covers remote sensing applications in varied aspects of urbanization, urban problems and disasters. • Includes advancements in remote sensing in model building and planning perspectives. • Analyses the usage of smartphones and other digital devices in mapping urban problems and monitoring disaster risks. • Explores future agenda for remote sensing advances and its ever-widening horizon. This book would be of interest to all the researchers and graduate students pursuing studies in the fields of remote sensing, GIS, geospatial technologies, urbanizations, disaster management, regional planning, environmental sciences, natural resource management and related fields.
Author: Noam Shoval
Publisher: Routledge
ISBN: 1135254540
Category : Business & Economics
Languages : en
Pages : 228
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Book Description
Recent developments in tracking technologies have opened up new possibilities for research into tourist spatial behavior. This book examines the various technologies available to track pedestrians and motorized vehicles as well as the moral, ethical and legal issues arising from the utilization of data thus obtained.
Author: Andreas Riedl
Publisher: Springer Science & Business Media
ISBN: 3540355898
Category : Science
Languages : en
Pages : 947
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Book Description
Since the first symposium in 1984 the International Symposia on Spatial Data Handling (SDH) has become a major resource for recent advances in GIS research. The International Symposium on Spatial Data Handling is regarded as a premier international research forum for GIS. All papers are fully reviewed by an international program committee composed of experts in the field.
Author: Cloud Publications
Publisher: Cloud Publications
ISBN:
Category : Science
Languages : en
Pages : 3465
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Book Description
International Journal of Advanced Remote Sensing and GIS (IJARSG, ISSN 2320 – 0243) is an open-access peer-reviewed scholarly journal publishes original research papers, reviews, case study, case reports, and methodology articles in all aspects of Remote Sensing and GIS including associated fields. This Journal commits to working for quality and transparency in its publishing by following standard Publication Ethics and Policies.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 330
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Book Description
Author: Aline Gubrium
Publisher: Routledge
ISBN: 1315422956
Category : Social Science
Languages : en
Pages : 280
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Book Description
This collection of original articles, a companion to the authors’ Participatory Visual and Digital Methods, illustrates how innovative visual and digital research techniques are being used in various field projects in health care, environmental policy, urban planning, education and youth development, and heritage management settings. These methodologies produce rich visual and narrative data guided by participant interests and priorities, key tools for collaborative work. The 16 chapters-include digital storytelling, PhotoVoice, community-based filmmaking, participatory mapping and GIS, and participatory digital archival research;-provide a portfolio of model research projects for researchers who wish to collaborate on community-based studies;-will appeal to an audience across social science, heritage, health, education, and social service fields.An open-access companion website will allow readers to view the research products presented in each contributor's chapter.
Author: Kevin Speer
Publisher: Cambridge University Press
ISBN: 1108580246
Category : Science
Languages : en
Pages : 263
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Book Description
Wildland fires are among the most complicated environmental phenomena to model. Fire behavior models are commonly used to predict the direction and rate of spread of wildland fires based on fire history, fuel, and environmental conditions; however, more sophisticated computational fluid dynamic models are now being developed. This quantitative analysis of fire as a fluid dynamic phenomenon embedded in a highly turbulent flow is beginning to reveal the combined interactions of the vegetative structure, combustion-driven convective effects, and atmospheric boundary layer processes. This book provides an overview of the developments in modeling wildland fire dynamics and the key dynamical processes involved. Mathematical and dynamical principles are presented, and the complex phenomena that arise in wildland fire are discussed. Providing a state-of-the-art survey, it is a useful reference for scientists, researchers, and graduate students interested in wildland fire behavior from a broad range of fields.
Author: Anil Kumar
Publisher: CRC Press
ISBN: 1000091546
Category : Computers
Languages : en
Pages : 177
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Book Description
This book covers the state-of-art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy machine learning and deep learning algorithms. Both types of algorithms are described in such details that these can be implemented directly for thematic mapping of multiple-class or specific-class landcover from multispectral optical remote sensing data. These algorithms along with multi-date, multi-sensor remote sensing are capable to monitor specific stage (for e.g., phenology of growing crop) of a particular class also included. With these capabilities fuzzy machine learning algorithms have strong applications in areas like crop insurance, forest fire mapping, stubble burning, post disaster damage mapping etc. It also provides details about the temporal indices database using proposed Class Based Sensor Independent (CBSI) approach supported by practical examples. As well, this book addresses other related algorithms based on distance, kernel based as well as spatial information through Markov Random Field (MRF)/Local convolution methods to handle mixed pixels, non-linearity and noisy pixels. Further, this book covers about techniques for quantiative assessment of soft classified fraction outputs from soft classification and supported by in-house developed tool called sub-pixel multi-spectral image classifier (SMIC). It is aimed at graduate, postgraduate, research scholars and working professionals of different branches such as Geoinformation sciences, Geography, Electrical, Electronics and Computer Sciences etc., working in the fields of earth observation and satellite image processing. Learning algorithms discussed in this book may also be useful in other related fields, for example, in medical imaging. Overall, this book aims to: exclusive focus on using large range of fuzzy classification algorithms for remote sensing images; discuss ANN, CNN, RNN, and hybrid learning classifiers application on remote sensing images; describe sub-pixel multi-spectral image classifier tool (SMIC) to support discussed fuzzy and learning algorithms; explain how to assess soft classified outputs as fraction images using fuzzy error matrix (FERM) and its advance versions with FERM tool, Entropy, Correlation Coefficient, Root Mean Square Error and Receiver Operating Characteristic (ROC) methods and; combines explanation of the algorithms with case studies and practical applications.
