Advanced Remote Sensing

Advanced Remote Sensing
Author: Shunlin Liang,Xiaowen Li,Jindi Wang
Publsiher: Academic Press
Total Pages: 800
Release: 2012-12-06
ISBN 10: 0123859557
ISBN 13: 9780123859556
Language: EN, FR, DE, ES & NL

Advanced Remote Sensing Book Review:

Advanced Remote Sensing is an application-based reference that provides a single source of mathematical concepts necessary for remote sensing data gathering and assimilation. It presents state-of-the-art techniques for estimating land surface variables from a variety of data types, including optical sensors such as RADAR and LIDAR. Scientists in a number of different fields including geography, geology, atmospheric science, environmental science, planetary science and ecology will have access to critically-important data extraction techniques and their virtually unlimited applications. While rigorous enough for the most experienced of scientists, the techniques are well designed and integrated, making the book’s content intuitive, clearly presented, and practical in its implementation. Comprehensive overview of various practical methods and algorithms Detailed description of the principles and procedures of the state-of-the-art algorithms Real-world case studies open several chapters More than 500 full-color figures and tables Edited by top remote sensing experts with contributions from authors across the geosciences

Advanced Remote Sensing

Advanced Remote Sensing
Author: Shunlin Liang,Xiaowen Li,Jindi Wang
Publsiher: Academic Press
Total Pages: 799
Release: 2012
ISBN 10: 0123859549
ISBN 13: 9780123859549
Language: EN, FR, DE, ES & NL

Advanced Remote Sensing Book Review:

Advanced Remote Sensing is an application-based reference that provides a single source of mathematical concepts necessary for remote sensing data gathering and assimilation. It presents state-of-the-art techniques for estimating land surface variables from a variety of data types, including optical sensors such as RADAR and LIDAR. Scientists in a number of different fields including geography, geology, atmospheric science, environmental science, planetary science and ecology will have access to critically-important data extraction techniques and their virtually unlimited applications. While rigorous enough for the most experienced of scientists, the techniques are well designed and integrated, making the book's content intuitive, clearly presented, and practical in its implementation. * Comprehensive overview of various practical methods and algorithms * Detailed description of the principles and procedures of the state-of-the-art algorithms * Real-world case studies open several chapters * More than 500 full-color figures and tables * Edited by top remote sensing experts with contributions from authors across the geosciences

Advanced Remote Sensing

Advanced Remote Sensing
Author: Shunlin Liang,Jindi Wang
Publsiher: Academic Press
Total Pages: 1010
Release: 2019-11-23
ISBN 10: 0128165286
ISBN 13: 9780128165287
Language: EN, FR, DE, ES & NL

Advanced Remote Sensing Book Review:

Advanced Remote Sensing: Terrestrial Information Extraction and Applications, Second Edition, is a thoroughly updated application-based reference that provides a single source on the mathematical concepts necessary for remote sensing data gathering and assimilation. It presents state-of-the-art techniques for estimating land surface variables from a variety of data types, including optical sensors like RADAR and LIDAR. The book provides scientists in a number of different fields, including geography, geophysics, geology, atmospheric science, environmental science, planetary science and ecology with access to critically-important data extraction techniques and their virtually unlimited applications. While rigorous enough for the most experienced of scientists, the techniques presented are well designed and integrated, making the book’s content intuitive and practical in its implementation. Provides a comprehensive overview of many practical methods and algorithms Offers descriptions of the principles and procedures of the state-of-the-art in remote sensing Includes real-world case studies and end-of-chapter exercises Contains thoroughly revised chapters, newly developed applications and updated examples

Remote Sensing and GIS for Ecologists

Remote Sensing and GIS for Ecologists
Author: Martin Wegmann,Benjamin Leutner,Stefan Dech
Publsiher: Pelagic Publishing Ltd
Total Pages: 352
Release: 2016-02-08
ISBN 10: 1784270245
ISBN 13: 9781784270247
Language: EN, FR, DE, ES & NL

Remote Sensing and GIS for Ecologists Book Review:

This is a book about how ecologists can integrate remote sensing and GIS in their daily work. It will allow ecologists to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving ecologically relevant information through remote sensing and modelling of species distributions. All practical examples in this book rely on OpenSource software and freely available data sets. Quantum GIS (QGIS) is introduced for basic GIS data handling, and in-depth spatial analytics and statistics are conducted with the software packages R and GRASS. Readers will learn how to apply remote sensing within ecological research projects, how to approach spatial data sampling and how to interpret remote sensing derived products. The authors discuss a wide range of statistical analyses with regard to satellite data as well as specialised topics such as time-series analysis. Extended scripts on how to create professional looking maps and graphics are also provided. This book is a valuable resource for students and scientists in the fields of conservation and ecology interested in learning how to get started in applying remote sensing in ecological research and conservation planning.

Advanced Remote Sensing

Advanced Remote Sensing
Author: Anonim
Publsiher: Unknown
Total Pages: 135
Release: 1983
ISBN 10: 1928374650XXX
ISBN 13: OCLC:556588711
Language: EN, FR, DE, ES & NL

Advanced Remote Sensing Book Review:

Advanced Remote Sensing 1994

Advanced Remote Sensing 1994
Author: Lyon
Publsiher: Unknown
Total Pages: 135
Release: 1995
ISBN 10: 9780873718912
ISBN 13: 0873718917
Language: EN, FR, DE, ES & NL

Advanced Remote Sensing 1994 Book Review:

Advanced Remote Sensing Technology for Tsunami Modelling and Forecasting

Advanced Remote Sensing Technology for Tsunami Modelling and Forecasting
Author: Maged Marghany
Publsiher: CRC Press
Total Pages: 302
Release: 2018-07-04
ISBN 10: 135117553X
ISBN 13: 9781351175531
Language: EN, FR, DE, ES & NL

Advanced Remote Sensing Technology for Tsunami Modelling and Forecasting Book Review:

The innovation in space technologies has generated a new method for observing and monitoring tsunamis from space. Most tsunami remote sensing studies focus on using classical image processing tools or conventional edge detection procedures. However, these methods do not use modern physics, applied mathematics, signal communication, remote sensing data and innovative space technologies. This book equips readers to understand how to monitor tsunamis from space with remote sensing technology art to create a better alarm warning system.

Comprehensive Remote Sensing

Comprehensive Remote Sensing
Author: Anonim
Publsiher: Elsevier
Total Pages: 3134
Release: 2017-11-08
ISBN 10: 0128032219
ISBN 13: 9780128032213
Language: EN, FR, DE, ES & NL

Comprehensive Remote Sensing Book Review:

Comprehensive Remote Sensing covers all aspects of the topic, with each volume edited by well-known scientists and contributed to by frontier researchers. It is a comprehensive resource that will benefit both students and researchers who want to further their understanding in this discipline. The field of remote sensing has quadrupled in size in the past two decades, and increasingly draws in individuals working in a diverse set of disciplines ranging from geographers, oceanographers, and meteorologists, to physicists and computer scientists. Researchers from a variety of backgrounds are now accessing remote sensing data, creating an urgent need for a one-stop reference work that can comprehensively document the development of remote sensing, from the basic principles, modeling and practical algorithms, to various applications. Fully comprehensive coverage of this rapidly growing discipline, giving readers a detailed overview of all aspects of Remote Sensing principles and applications Contains ‘Layered content’, with each article beginning with the basics and then moving on to more complex concepts Ideal for advanced undergraduates and academic researchers Includes case studies that illustrate the practical application of remote sensing principles, further enhancing understanding

Advanced Remote Sensing Technology for Synthetic Aperture Radar Applications Tsunami Disasters and Infrastructure

Advanced Remote Sensing Technology for Synthetic Aperture Radar Applications  Tsunami Disasters  and Infrastructure
Author: Maged Marghany
Publsiher: BoD – Books on Demand
Total Pages: 182
Release: 2019-02-27
ISBN 10: 1789856175
ISBN 13: 9781789856170
Language: EN, FR, DE, ES & NL

Advanced Remote Sensing Technology for Synthetic Aperture Radar Applications Tsunami Disasters and Infrastructure Book Review:

The advance in space machineries has created a novel technology for observing and monitoring the Earth from space. Most earth observation remote sensing considerations focus on using conventional image processing algorithms or classic edge detection tools. Nevertheless, these techniques do not implement modern physics, applied mathematics, signal communication, remote sensing data, and innovative space technologies. This book provides readers with methods to comprehend how to monitor coastal environments, disaster areas, and infrastructure from space with advanced talent remote sensing technology to bridge the gaps between modern space technology, image processing algorithms, mathematical models and the critical issue of the coastal and infrastructure investigations.

Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images

Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images
Author: Yakoub Bazi,Edoardo Pasolli
Publsiher: MDPI
Total Pages: 438
Release: 2021-06-15
ISBN 10: 3036509860
ISBN 13: 9783036509860
Language: EN, FR, DE, ES & NL

Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images Book Review:

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.

Remote Sensing

Remote Sensing
Author: Robert A. Schowengerdt
Publsiher: Elsevier
Total Pages: 522
Release: 2012-12-02
ISBN 10: 0080516106
ISBN 13: 9780080516103
Language: EN, FR, DE, ES & NL

Remote Sensing Book Review:

This book is a completely updated, greatly expanded version of the previously successful volume by the author. The Second Edition includes new results and data, and discusses a unified framework and rationale for designing and evaluating image processing algorithms. Written from the viewpoint that image processing supports remote sensing science, this book describes physical models for remote sensing phenomenology and sensors and how they contribute to models for remote-sensing data. The text then presents image processing techniques and interprets them in terms of these models. Spectral, spatial, and geometric models are used to introduce advanced image processing techniques such as hyperspectral image analysis, fusion of multisensor images, and digital elevationmodel extraction from stereo imagery. The material is suited for graduate level engineering, physical and natural science courses, or practicing remote sensing scientists. Each chapter is enhanced by student exercises designed to stimulate an understanding of the material. Over 300 figuresare produced specifically for this book, and numerous tables provide a rich bibliography of the research literature.

Remote Sensing of Natural Resources

Remote Sensing of Natural Resources
Author: Guangxing Wang,Qihao Weng
Publsiher: CRC Press
Total Pages: 580
Release: 2013-07-12
ISBN 10: 1466556935
ISBN 13: 9781466556935
Language: EN, FR, DE, ES & NL

Remote Sensing of Natural Resources Book Review:

Highlighting new technologies, Remote Sensing of Natural Resources explores advanced remote sensing systems and algorithms for image processing, enhancement, feature extraction, data fusion, image classification, image-based modeling, image-based sampling design, map accuracy assessment and quality control. It also discusses their applications for

An Introduction to Spatial Data Analysis

An Introduction to Spatial Data Analysis
Author: Martin Wegmann,Jakob Schwalb-Willmann,Stefan Dech
Publsiher: Pelagic Publishing Ltd
Total Pages: 300
Release: 2020-09-14
ISBN 10: 1784272140
ISBN 13: 9781784272142
Language: EN, FR, DE, ES & NL

An Introduction to Spatial Data Analysis Book Review:

This is a book about how ecologists can integrate remote sensing and GIS in their research. It will allow readers to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving ecologically relevant information through remote sensing and modelling of species distributions. An Introduction to Spatial Data Analysis introduces spatial data handling using the open source software Quantum GIS (QGIS). In addition, readers will be guided through their first steps in the R programming language. The authors explain the fundamentals of spatial data handling and analysis, empowering the reader to turn data acquired in the field into actual spatial data. Readers will learn to process and analyse spatial data of different types and interpret the data and results. After finishing this book, readers will be able to address questions such as “What is the distance to the border of the protected area?”, “Which points are located close to a road?”, “Which fraction of land cover types exist in my study area?” using different software and techniques. This book is for novice spatial data users and does not assume any prior knowledge of spatial data itself or practical experience working with such data sets. Readers will likely include student and professional ecologists, geographers and any environmental scientists or practitioners who need to collect, visualize and analyse spatial data. The software used is the widely applied open source scientific programs QGIS and R. All scripts and data sets used in the book will be provided online at book.ecosens.org. This book covers specific methods including: what to consider before collecting in situ data how to work with spatial data collected in situ the difference between raster and vector data how to acquire further vector and raster data how to create relevant environmental information how to combine and analyse in situ and remote sensing data how to create useful maps for field work and presentations how to use QGIS and R for spatial analysis how to develop analysis scripts

Advances in Remote Sensing for Natural Resource Monitoring

Advances in Remote Sensing for Natural Resource Monitoring
Author: Prem C. Pandey,Laxmi K. Sharma
Publsiher: John Wiley & Sons
Total Pages: 528
Release: 2021-02-01
ISBN 10: 1119616034
ISBN 13: 9781119616030
Language: EN, FR, DE, ES & NL

Advances in Remote Sensing for Natural Resource Monitoring Book Review:

Sustainable management of natural resources is an urgent need, given the changing climatic conditions of Earth systems. The ability to monitor natural resources precisely and accurately is increasingly important. New and advanced remote sensing tools and techniques are continually being developed to monitor and manage natural resources in an effective way. Remote sensing technology uses electromagnetic sensors to record, measure and monitor even small variations in natural resources. The addition of new remote sensing datasets, processing techniques and software makes remote sensing an exact and cost-effective tool and technology for natural resource monitoring and management. Advances in Remote Sensing for Natural Resources Monitoring provides a detailed overview of the potential applications of advanced satellite data in natural resource monitoring. The book determines how environmental and - ecological knowledge and satellite-based information can be effectively combined to address a wide array of current natural resource management needs. Each chapter covers different aspects of remote sensing approach to monitor the natural resources effectively, to provide a platform for decision and policy. This important work: Provides comprehensive coverage of advances and applications of remote sensing in natural resources monitoring Includes new and emerging approaches for resource monitoring with case studies Covers different aspects of forest, water, soil- land resources, and agriculture Provides exemplary illustration of themes such as glaciers, surface runoff, ground water potential and soil moisture content with temporal analysis Covers blue carbon, seawater intrusion, playa wetlands, and wetland inundation with case studies Showcases disaster studies s

Field Methods in Remote Sensing

Field Methods in Remote Sensing
Author: Roger M. McCoy
Publsiher: Guilford Press
Total Pages: 159
Release: 2005-01-01
ISBN 10: 9781593850791
ISBN 13: 1593850794
Language: EN, FR, DE, ES & NL

Field Methods in Remote Sensing Book Review:

This concise, much-needed guide takes readers step by step through planning and executing field work associated with many different types of remote sensing projects. Remote sensing texts and research reports typically focus on data-analytic techniques while offering a dearth of information on procedures followed in the field. In contrast, this book provides clear recommendations for defining field work objectives, devising a valid sampling plan, finding locations using GPS, and selecting and using effective measurement techniques for field reflectance spectra and for studies of vegetation, soils, water, and urban areas. Appendices feature sample field note forms, an extensive bibliography on advanced and specialized methods, and online metadata sources.

Advanced Surveying Total Station Gis and Remote Sensing

Advanced Surveying  Total Station  Gis and Remote Sensing
Author: Satheesh Gopi,R. Sathikumar,N. Madhu
Publsiher: Lulu Press, Inc
Total Pages: 135
Release: 2014-07-08
ISBN 10: 1312338776
ISBN 13: 9781312338777
Language: EN, FR, DE, ES & NL

Advanced Surveying Total Station Gis and Remote Sensing Book Review:

Modern Surveying is unimaginable without the use of electronic equipment and information technology. Surveying with conventional systems has been completely replaced with advanced automated systems. Total Station, Global Positioning System (GPS), Remote Sensing and Geographical Information System (GIS) have all become an inextricable part of surveying. Advanced Surveying: Total Station, GIS and Remote Sensing provides a thorough working knowledge of these technologies.

Uncertainty in Remote Sensing and GIS

Uncertainty in Remote Sensing and GIS
Author: Giles M. Foody,Peter M. Atkinson
Publsiher: John Wiley & Sons
Total Pages: 326
Release: 2003-07-11
ISBN 10: 0470859245
ISBN 13: 9780470859247
Language: EN, FR, DE, ES & NL

Uncertainty in Remote Sensing and GIS Book Review:

Remote sensing and geographical information science (GIS) have advanced considerably in recent years. However, the potential of remote sensing and GIS within the environmental sciences is limited by uncertainty, especially in connection with the data sets and methods used. In many studies, the issue of uncertainty has been incompletely addressed. The situation has arisen in part from a lack of appreciation of uncertainty and the problems it can cause as well as of the techniques that may be used to accommodate it. This book provides general overviews on uncertainty in remote sensing and GIS that illustrate the range of uncertainties that may occur, in addition to describing the means of measuring uncertainty and the impacts of uncertainty on analyses and interpretations made. Uncertainty in Remote Sensing and GIS provides readers with comprehensive coverage of this largely undocumented subject: * Relevant to a broad variety of disciplines including geography, environmental science, electrical engineering and statistics * Covers range of material from base overviews to specific applications * Focuses on issues connected with uncertainty at various points along typical data analysis chains used in remote sensing and GIS Written by an international team of researchers drawn from a variety of disciplines, Uncertainty in Remote Sensing and GIS provides focussed discussions on topics of considerable importance to a broad research and user community. The book is invaluable reading for researchers, advanced students and practitioners who want to understand the nature of uncertainty in remote sensing and GIS, its limitations and methods of accommodating it.

Advanced Environmental Monitoring with Remote Sensing Time Series Data and R

Advanced Environmental Monitoring with Remote Sensing Time Series Data and R
Author: Alexandra Gemitzi,Nikolaos Koutsias,Venkat Lakshmi
Publsiher: CRC Press
Total Pages: 102
Release: 2019-11-28
ISBN 10: 0429557140
ISBN 13: 9780429557149
Language: EN, FR, DE, ES & NL

Advanced Environmental Monitoring with Remote Sensing Time Series Data and R Book Review:

This book provides a step-by-step guide on how to use various publicly available remotely sensed time series data sources for environmental monitoring and assessment. Readers will learn how to extract valuable information on global changes from a 20-year collection of ready-to-use remotely sensed data through the free open statistical software R and its geographic data analysis and modeling tools. The case studies are from the Mediterranean region—a designated hot spot regarding climate change effects. Each chapter is dedicated to specific remote sensing products chosen for their spatial resolution. The methods used are adapted from large-scale to smaller-scale problems for different land cover areas. Features Includes real-world applications of environmental remotely sensed data Analyzes the advantages and restrictions of each data source Focuses on a wide spectrum of applications, such as hydrology, vegetation changes, land surface temperature, fire detection, and impacts Includes R computer codes with explanatory comments and all applications use only freely available remotely sensed data Presents a step-by-step processing through open source GIS and statistical analysis software Advanced Environmental Monitoring with Remote Sensing Time Series Data and R describes and provides details on recent advances concerning publicly available remotely sensed time series data in environmental monitoring and assessment. This book is a must-have practical guide for environmental researchers, professionals, and students.

International Journal of Advanced Remote Sensing and GIS

International Journal of Advanced Remote Sensing and GIS
Author: Cloud Publications
Publsiher: Cloud Publications
Total Pages: 3465
Release: 2012-01-01
ISBN 10: 1928374650XXX
ISBN 13: 9182736450XXX
Language: EN, FR, DE, ES & NL

International Journal of Advanced Remote Sensing and GIS Book Review:

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.

High Spatial Resolution Remote Sensing

High Spatial Resolution Remote Sensing
Author: Yuhong He,Qihao Weng
Publsiher: CRC Press
Total Pages: 381
Release: 2018-06-27
ISBN 10: 0429892993
ISBN 13: 9780429892998
Language: EN, FR, DE, ES & NL

High Spatial Resolution Remote Sensing Book Review:

High spatial resolution data including those from satellite, manned aircraft, and unmanned aerial vehicle (UAV) platforms provide a novel data source for addressing environmental questions with an unprecedented level of detail. To effectively utilize information contained in high spatial resolution imagery, some key questions must be addressed, including: (1) what are the challenges of using new sensors and new platforms? (2) what are the cutting-edge methods for fine-level information extraction from high spatial resolution images? and (3) how can high spatial resolution data improve the quantification and characterization of physical-environmental or human patterns and processes? The chapters in this book provide a snapshot of cutting-edge high spatial resolution remote sensing image collection, preprocessing, processing, and applications. This book intents to provide a useful benchmark for the high spatial resolution remote sensing community and inspire more studies that would address important scientific and technical challenges in use of high spatial remote sensing.