Main background

Newly released

This book is new and will be uploaded as soon as it becomes available to us and if we secure the necessary publishing rights.

Book cover of Wetland Landscape Characterization GIS Remote Sensing and Image Analysis by John Lyon

Wetland Landscape Characterization GIS Remote Sensing and Image Analysis

(0)

Author:

John Lyon

Number Of Reads:

79

Language:

English

Category:

geography

Pages:

144

Quality:

excellent

Views:

573

Quotation mark icon

Quate

Review icon

Review

Save

Share

New

Book Description

"Wetland Landscape Characterization: GIS, Remote Sensing and Image Analysis" authored by John G. Lyon is a comprehensive guide to the use of geospatial technologies for wetland mapping and monitoring. The book covers the fundamental principles of remote sensing and Geographic Information Systems (GIS) and their integration for wetland landscape characterization. The primary focus of the book is on the application of these techniques for wetland inventory, mapping, and monitoring, as well as the use of image analysis techniques for wetland classification.

The book starts with an overview of the wetland ecosystem and its importance in the natural environment. The author then discusses the basic principles of remote sensing and GIS and their applications for wetland landscape characterization. The book covers the different types of remote sensing platforms and sensors that are commonly used for wetland mapping and monitoring, including aerial photography, satellite imagery, and Light Detection and Ranging (LiDAR) data.

The author also describes the various image analysis techniques used for wetland classification, including supervised and unsupervised classification methods, object-based image analysis, and machine learning techniques. The book emphasizes the importance of accuracy assessment in wetland mapping and monitoring and provides a detailed description of the various accuracy assessment techniques used in the field.

The book also includes several case studies that demonstrate the application of remote sensing and GIS for wetland characterization. The case studies cover a range of wetland types, including coastal wetlands, inland wetlands, and constructed wetlands. The case studies provide practical examples of how remote sensing and GIS can be used for wetland mapping, monitoring, and management.

Overall, "Wetland Landscape Characterization: GIS, Remote Sensing and Image Analysis" is a valuable resource for researchers, professionals, and students working in wetland management, conservation, and restoration. The book provides a comprehensive overview of the latest geospatial technologies and their application for wetland characterization. The book is well-written and easy to understand, making it accessible to a wide range of readers.

Author portrait of John Lyon

John Lyon

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.

Read More
Newly released

Rate Now

5 Stars

4 Stars

3 Stars

2 Stars

1 Stars

Comments

User Avatar
img

Be the first to leave a comment and earn 5 points

instead of 3

Quotes

Top Rated

Latest

Quate

img

Be the first to leave a quote and earn 10 points

instead of 3