Remotely Sensed Data Characterization, Classification, and Accuracies

Remotely Sensed Data Characterization, Classification, and Accuracies PDF

Author: Ph.D., Prasad S. Thenkabail

Publisher: CRC Press

Published: 2015-10-02

Total Pages: 698

ISBN-13: 1482217872

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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

Remotely Sensed Data Characterization, Classification, and Accuracies

Remotely Sensed Data Characterization, Classification, and Accuracies PDF

Author: S. Thenkabail

Publisher:

Published: 2015

Total Pages: 712

ISBN-13:

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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

Remote Sensing Handbook - Three Volume Set PDF

Author: Prasad Thenkabail

Publisher: CRC Press

Published: 2018-10-03

Total Pages: 2304

ISBN-13: 1482282674

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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

Assessing the Accuracy of Remotely Sensed Data

Assessing the Accuracy of Remotely Sensed Data PDF

Author: Russell G. Congalton

Publisher: CRC Press

Published: 2008-12-12

Total Pages: 210

ISBN-13: 1420055135

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Accuracy assessment of maps derived from remotely sensed data has continued to grow since the first edition of this groundbreaking book. As a result, the much-anticipated new edition is significantly expanded and enhanced to reflect growth in the field. The new edition features three new chapters, including: Fuzzy accuracy assessmentPositional accu

Assessing the Accuracy of Remotely Sensed Data

Assessing the Accuracy of Remotely Sensed Data PDF

Author: Russell G. Congalton

Publisher: CRC Press

Published: 2019-08-08

Total Pages: 303

ISBN-13: 0429627718

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The past 10 years have brought amazing changes to the technologies used to turn remotely sensed data into maps. As a result, the principles and practices necessary for assessing the accuracy of those maps have also evolved and matured. This third edition of Assessing the Accuracy of Remotely Sensed Data: Principles and Practices is thoroughly updated and includes five new chapters. Now 15 chapters long, this text is the only one of its kind to provide geospatial analysts with the requisite considerations, tools, and theory necessary to conduct successful and efficient map accuracy assessments; and map users with the knowledge to fully understand the assessment process to ensure effective use of maps. See What’s New in the Third Edition: All original chapters have been updated to include new standards, practices, and methodologies. A new chapter on planning accuracy assessments. A new chapter on assessing maps created using object-based technologies. Two case study chapters - one showcasing the assessment of maps created from traditional methods, and one on the assessment of object-based maps. Emphasis on considering and planning for positional accuracy in concert with thematic accuracy. An appendix containing the internationally recognized ASPRS Positional Accuracy Standards. A new final chapter summarizing the key concepts, considerations and lessons learned by the authors in their decades of implementing and evaluating accuracy assessments. Assessing map accuracy is complex; however, the discussions in this book, together with the many figures, tables, and case studies, clearly present the necessary concepts and considerations for conducting an assessment that is both is practical, statistically reliable, and achievable.

High Spatial Resolution Remote Sensing

High Spatial Resolution Remote Sensing PDF

Author: Yuhong He

Publisher: CRC Press

Published: 2018-06-27

Total Pages: 417

ISBN-13: 0429892993

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High spatial resolution remote sensing is an area of considerable current interest and builds on developments in object-based image analysis, commercial high-resolution satellite sensors, and UAVs. It captures more details through high and very high resolution images (10 to 100 cm/pixel). This unprecedented level of detail offers the potential extraction of a range of multi-resource management information, such as precision farming, invasive and endangered vegetative species delineation, forest gap sizes and distribution, locations of highly valued habitats, or sub-canopy topographic information. Information extracted in high spatial remote sensing data right after a devastating earthquake can help assess the damage to roads and buildings and aid in emergency planning for contact and evacuation. To effectively utilize information contained in high spatial resolution imagery, High Spatial Resolution Remote Sensing: Data, Analysis, and Applications addresses some key questions: What are the challenges of using new sensors and new platforms? What are the cutting-edge methods for fine-level information extraction from high spatial resolution images? How can high spatial resolution data improve the quantification and characterization of physical-environmental or human patterns and processes? The answers are built in three separate parts: (1) data acquisition and preprocessing, (2) algorithms and techniques, and (3) case studies and applications. They discuss the opportunities and challenges of using new sensors and platforms and high spatial resolution remote sensing data and recent developments with a focus on UAVs. This work addresses the issues related to high spatial image processing and introduces cutting-edge methods, summarizes state-of-the-art high spatial resolution applications, and demonstrates how high spatial resolution remote sensing can support the extraction of detailed information needed in different systems. Using various high spatial resolution data, the third part of this book covers a range of unique applications, from grasslands to wetlands, karst areas, and cherry orchard trees.

Remote Sensing of Water Resources, Disasters, and Urban Studies

Remote Sensing of Water Resources, Disasters, and Urban Studies PDF

Author: Ph.D., Prasad S. Thenkabail

Publisher: CRC Press

Published: 2015-10-02

Total Pages: 695

ISBN-13: 1482217929

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This book is the most comprehensive documentation of the scientific and methodological advances that have taken place in understanding remote sensing data, methods, and applications over last 50 years. In a very practical way it demonstrates the experience, utility, methods and models used in studying a wide array of water applications. There are more than 100 leading global experts in the field contributing to this work.

Land Resources Monitoring, Modeling, and Mapping with Remote Sensing

Land Resources Monitoring, Modeling, and Mapping with Remote Sensing PDF

Author: Ph.D., Prasad S. Thenkabail

Publisher: CRC Press

Published: 2015-10-02

Total Pages: 869

ISBN-13: 1482217988

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A volume in the three-volume Remote Sensing Handbook series, Land Resources Monitoring, Modeling, and Mapping with Remote Sensing 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 Remo

Classification Methods for Remotely Sensed Data

Classification Methods for Remotely Sensed Data PDF

Author: Taskin Kavzoglu

Publisher:

Published: 2025

Total Pages: 0

ISBN-13: 9781032573953

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"The third edition of the bestselling Classification Methods for Remotely Sensed Data covers recent developments in the optimization of existing and new algorithms and presents new analysis tools and metrics together with ongoing debates on accuracy assessment strategies and metrics that did not exist 10 years ago. It is thoroughly updated and provides four new chapters on object-based image analysis, a new paradigm in image processing and classification. In object-based image analysis, hyperparameter optimization techniques are used to ensure that the highest possible accuracy is achieved by the algorithm"--

Urban Remote Sensing

Urban Remote Sensing PDF

Author: Xiaojun X. Yang

Publisher: John Wiley & Sons

Published: 2021-10-06

Total Pages: 532

ISBN-13: 1119625858

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Urban Remote Sensing The second edition of Urban Remote Sensing is a state-of-the-art review of the latest progress in the subject. The text examines how evolving innovations in remote sensing allow to deliver the critical information on cities in a timely and cost-effective way to support various urban management activities and the scientific research on urban morphology, socio-environmental dynamics, and sustainability. Chapters are written by leading scholars from a variety of disciplines including remote sensing, GIS, geography, urban planning, environmental science, and sustainability science, with case studies predominately drawn from North America and Europe. A review of the essential and emerging research areas in urban remote sensing including sensors, techniques, and applications, especially some critical issues that are shifting the directions in urban remote sensing research. Illustrated in full color throughout, including numerous relevant case studies and extensive discussions of important concepts and cutting-edge technologies to enable clearer understanding for non-technical audiences. Urban Remote Sensing, Second Edition will be of particular interest to upper-division undergraduate and graduate students, researchers and professionals working in the fields of remote sensing, geospatial information, and urban & environmental planning.