Download [PDF] Remote Sensing and Image Interpretation EBOOK. Author: Thomas Lillesand,Ralph W. Kiefer,Jonathan Chipman Publisher. Request PDF on ResearchGate | On Jan 1, , Thomas M. Lillesand and others published Remote Sensing and Image Interpretation (Fifth Edition). Request PDF on ResearchGate | Remote sensing and image interpretation. 3rd edition | This is a textbook introducing the principles and applications of remote.
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18 photographic Aerial photographs. Remote sensing: Active sensor based satellite data. Passive. Photographic Remote Sensing. • Image interpretation. Remote Sensing and Image Interpretation, 7th Edition is designed to be primarily used in two ways: as a textbook in the introductory courses in remote sensing. Remote sensing and image interpretation. NTRS Full-Text: View Document [PDF Size: MB]. Author and Affiliation: Lillesand, T. M., (Minnesota Univ.
Discussions on determining photographic scale, resolution, and effects of terrain displacement on dis- tance measurements are particularly useful parts of Chapter 2 Elements of Photographic Systems. Minnesota Univ. These are synergistic technologies, with remote sensing data offering a quick way to introduce or update data in a GIS, and GIS analysis expanding the information content of remotely sensed data. There's a problem with your browser or settings. Thomas Lillesand is a professor of engineering at the University of Wisconsin-Madison.
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Student View Student Companion Site. About the Author Dr. Thomas Lillesand is a professor of engineering at the University of Wisconsin-Madison.
He has received the Alan Gordon Memorial Award from American Society of Photogrammetry for significant achievements in remote sensing and photographic interpretation as well as the Earle J. Stennis Space Center.
Lillesand has published over works on remote sensing and his research interests include geographical information systems, natural resource management, and environmental monitoring. Table of contents 1 Concepts and Foundations of Remote Sensing 1 1. Radar Signal Concepts, Terminology, and Units. Thomas M. Lillesand and Ralph W. Kiefer, 3rd edn. Other intriguing applications of remote sensing and image interpretation such as bioimaging for medical diagnosis and criminological pattern recognition for finger print identification and code deciphering are not mentioned.
The text is in its 3rd edition and has been used widely in college curricula.
Updated information on satellite programs and classification accuracy assessment are the primary changes since the previous edition. This book is actually two books for the price of one; the first four chapters contain a thorough treatment of collection, processing, and interpretation of analog photographic aerial data, with the last four chapters devoted to digital data.
The authors note that while digital image processing is certainly the leading edge technology, understanding the prin- ciples of the electromagnetic spectrum, cameras, films, filters and photographic interpreta- tion are necessary building blocks to successful digital image interpretation. Discussions on determining photographic scale, resolution, and effects of terrain displacement on dis- tance measurements are particularly useful parts of Chapter 2 Elements of Photographic Systems. Chapter 3 Introduction to Airphoto Interpretation contains practical informa- tion on identification of landscape features such as wetlands, tree stands by species, soil types, landforms, and man-induced changes from the most commonly available photo- graphic formats.
The authors have valiantly tried to convey to their readers the diversity of applications for these techniques. The reader is left with the job of sorting through the examples for ideas on applying these techniques to their own set of research or management questions. For veterinary epidemiologists, image interpretation may yield the habitat quality, quantity, and distribution information for a disease vector and thus be valuable for targeting suppression efforts or modeling disease potential and spread.
The leap from visual interpretation of photographs to digital processing of satellite images is conceptually and functionally large. Chapters cover the physics of multispectral, thermal, and hyperspectral digital image scanning and the specifics of optical and microwave satellites and the data they collect.
Rectifying satellite data to a map coordinate system, classification via pattern recognition, data enhancement with mathematic filters, and other interpretation tools are discussed.
There is no discussion of the computer hardware and software required to perform any of these tasks but in a rapidly developing field these can soon be obsolete. The integration of digital images into geographic information systems GIS is also addressed.
These are synergistic technologies, with remote sensing data offering a quick way to introduce or update data in a GIS, and GIS analysis expanding the information content of remotely sensed data. A full understanding of GIS and its integration with image interpretation requires, however, discussion beyond this essentially introductory textbook.
The text is well organized and indexed, and the chapter-oriented bibliographies help guide the reader to more detailed information on specific topics. Although one can become familiar with the scientific aspects of image interpretation from reading this text, what is lacking is hands-on experience to explore and develop the art of interpretation.
It is unfor- tunate that a workbook of hard copy images does not accompany this text. Hands-on experience is also important for learning interpretation of digital data via computer and GIS techniques. Remote sensing and image interpretation have obvious applications for spatial analyses in epidemiology. Although this text was not tailored to a biomedical audience, it can serve either as a basic introduction to the techniques or as a comprehensive reference for the well- informed.
To embed these techniques within research design, however, necessitates further training or cooperation with a remote sensing professional in a team approach. Arthur P.
Cracknell and Ladson W. Remote sensing is a comprehensive term which encompasses the process of data acqui- sition, the complex technology for reception and transmission, and subsequent image processing and storage methodologies. Principles from physics, engineering and mathe- matics are applied to interpret raw data.
Because of the complexity of the field, many of the available introductory texts to remote sensing and image interpretation e. Avery and Berlin, ; Lillesand and Kiefer, ; and the more technical Richards, are both extensive and expensive.