Scale in Remote Sensing and GIS pdf

Michael Goodchild is a geographer and a pioneer in the field of geographic information science (GIS). He was born on February 24, 1944, in Surrey, England, and obtained his PhD in geography from the University of Bristol in 1969.

Goodchild is known for his research on GIS, spatial analysis, and remote sensing. He has authored or co-authored over 15 books and more than 500 articles, and has received numerous awards for his contributions to the field of geography and GIS.

In addition to his academic work, Goodchild has been involved in various organizations and initiatives related to GIS, including serving as the editor of the journal "Geographical Analysis" and as the founding chair of the National Center for Geographic Information and Analysis (NCGIA) in the United States.

Goodchild is currently a professor emeritus of geography at the University of California, Santa Barbara, and continues to be active in research and teaching.

Scale in Remote Sensing and GIS pdf by Michael Goodchild

"Scale in Remote Sensing and GIS" by Michael Goodchild is a comprehensive guide to understanding the role of scale in the analysis of remotely sensed data and GIS applications. In this book, Goodchild provides a detailed explanation of the various spatial scales and their significance in different applications.

The book begins with an introduction to the concept of scale, its importance in remote sensing and GIS, and the challenges associated with handling data at different scales. Goodchild then discusses the different types of scales, including nominal, ordinal, interval, and ratio scales, and their relevance in different contexts.

The book also covers the concept of spatial resolution and its impact on remote sensing applications. Goodchild explains the trade-off between spatial resolution and temporal resolution and the importance of selecting the appropriate scale for a given application.

In addition, the book explores the concept of scale in GIS applications and the role of scale in data integration and analysis. Goodchild discusses the use of multi-scale data and the challenges of integrating data from different scales.

Goodchild also provides practical examples of the application of scale in remote sensing and GIS. He discusses the use of scaling techniques for data visualization, spatial analysis, and decision-making.

The book concludes with a discussion of the future of scale in remote sensing and GIS. Goodchild highlights the need for continued research and development in the field to address the challenges associated with handling data at different scales.