Thematic Mapping From Satellite Imagery: A Guidebook

Thematic Mapping From Satellite Imagery: A Guidebook PDF

Author: J. Denègre

Publisher: Elsevier

Published: 2013-10-22

Total Pages: 342

ISBN-13: 1483101533

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Thematic Mapping from Satellite Imagery: A Guidebook discusses methods in producing maps using satellite images. The book is comprised of five chapters; each chapter covers one stage of the process. Chapter 1 tackles the satellite remote sensing imaging and its cartographic significance. Chapter 2 discusses the production processes for extracting information from satellite data. The next chapter covers the methods for combining satellite-derived information with that obtained from conventional sources. Chapter 4 deals with design and semiology for cartographic representation, and Chapter 5 presents examples of applications. The book will be of great use to cartographers who want to utilize satellite imaging in generating a map.

Thematic Cartography and Remote Sensing

Thematic Cartography and Remote Sensing PDF

Author: Prithvish Nag

Publisher: Concept Publishing Company

Published: 1992

Total Pages: 280

ISBN-13: 9788170224105

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Festschrift honoring G.K. Dutt, b. 1929, geographer from India; comprises contributed articles in the Indian context.

Advances in Mapping from Remote Sensor Imagery

Advances in Mapping from Remote Sensor Imagery PDF

Author: Xiaojun Yang

Publisher: CRC Press

Published: 2012-12-12

Total Pages: 464

ISBN-13: 143987459X

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Advances in Mapping from Remote Sensor Imagery: Techniques and Applications reviews some of the latest developments in remote sensing and information extraction techniques applicable to topographic and thematic mapping. Providing an interdisciplinary perspective, leading experts from around the world have contributed chapters examining state-of-the

Essential Graphical Techniques in Geography

Essential Graphical Techniques in Geography PDF

Author: Swapan Kumar Maity

Publisher: Springer Nature

Published: 2021-11-30

Total Pages: 337

ISBN-13: 9811665850

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Representation of geographical data using graphs, diagrams and mapping techniques is a key for geographers and for researchers in other disciplines to explore the nature of data, the pattern of spatial and temporal variations and their relationships, and formulation of principles to accurately understand and analyze features on or near the earth’s surface. These modes of representation also enable the development of spatial understanding and the capacity for technical and logical decision making. The book depicts all types of graphs, diagrams and maps, explained in detail with numerous examples. The emphasis is on their appropriate data structure, the relevance of selecting the correct technique, methods of their construction, advantages and disadvantages of their use, and applications of these techniques in analyzing and realizing the spatial pattern of various geographical features and phenomena. This book is unique in that it reflects a perfect correlation between theoretical knowledge of geographical events and phenomena and their realistic implications, with relevant examples using appropriate graphical methods. The book serves as a valuable resource for students, researchers, cartographers and decision makers to analyze and represent various geographical data for a better, systematic and scientific understanding of the real world.

Artificial Intelligence

Artificial Intelligence PDF

Author: Sergei O. Kuznetsov

Publisher: Springer Nature

Published: 2019-10-14

Total Pages: 378

ISBN-13: 3030307638

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This book constitutes the proceedings of the 17th Russian Conference on Artificial Intelligence, RCAI 2019, held in Ulyanovsk, Russia, in October 2019. The 23 full papers presented along with 7 short papers in this volume were carefully reviewed and selected from 130 submissions. The conference deals with a wide range of topics, including multi-agent systems, intelligent robots and behaviour planning; automated reasoning and data mining; natural language processing and understanding of texts; fuzzy models and soft computing; intelligent systems and applications.