Remote sensing and GIS accuracy assessment pdf

Lyon was interested early on in wetlands and other moderately disturbed systems as places to evaluate the condition of native vegetation communities. This interest was honed in his youthful wanderings in the mountains and alpine systems of the Pacific Northwest, California, Nevada, and Alaska. Systematic study of wetlands in undergraduate work at Reed College in his native Oregon, and graduate work at the University of Michigan yielded bachelor’s and master’s theses and a doctoral dissertation devoted to wetlands and other natural systems. Eighteen years as a faculty member and ultimately a full Professor of Civil Engineering and Natural Resources at Ohio State University were further devoted to scholarly pursuits of these interests. A body of work included remote sensor and GIS evaluations of wetlands, development of field methods for wetlands identification, and other efforts on soil, agriculture, riverine, and Laurentian Great Lakes systems.

Remote sensing and GIS accuracy assessment pdf by John Lyon

"Remote Sensing and GIS Accuracy Assessment" by John G. Lyon is a comprehensive guide for understanding the accuracy of remote sensing and geographic information systems (GIS) data. The book covers various aspects of accuracy assessment, including error sources, statistical methods, and quality control procedures.

The book is divided into five sections, each covering a different aspect of accuracy assessment. The first section provides an introduction to accuracy assessment and discusses the importance of accuracy assessment in remote sensing and GIS. The second section focuses on error sources in remote sensing and GIS data and the methods used to quantify and reduce these errors. The third section covers statistical methods for accuracy assessment, including the concept of accuracy and the various measures of accuracy. The fourth section discusses the importance of quality control procedures for accuracy assessment and provides practical guidance on how to implement quality control procedures. Finally, the fifth section discusses the integration of accuracy assessment with GIS and remote sensing applications, including land use/land cover mapping, forest inventory, and water resource management.

One of the key strengths of this book is its emphasis on practical applications. The author provides numerous examples and case studies throughout the book, demonstrating how accuracy assessment can be applied in real-world situations. The book also includes a comprehensive list of references, making it a valuable resource for researchers and practitioners in the field of remote sensing and GIS.

The book is written in an accessible style and assumes no prior knowledge of accuracy assessment. It is suitable for students and professionals in the field of remote sensing and GIS who are interested in improving the accuracy of their data. The book is also a valuable resource for instructors teaching courses on remote sensing and GIS.

Overall, "Remote Sensing and GIS Accuracy Assessment" is a valuable resource for anyone interested in the accuracy of remote sensing and GIS data. The book provides a thorough overview of accuracy assessment methods and their practical applications, making it a useful reference for both researchers and practitioners in the field.