LiDAR Remote Sensing and Applications |
|
| Author:
| Dong, Pinliang
Chen, Qi |
| Series title: | Remote Sensing Applications Ser. |
| ISBN: | 978-1-4822-4302-4 |
| Publication Date: | Dec 2017 |
| Publisher: | CRC Press LLC
|
| Book Format: | Digital (delivered electronically) |
| List Price: | USD $105.00 |
Book Description:
|
Ideal for both undergraduate and graduate students in the fields of geography, forestry, ecology, geographic information science, remote sensing, and photogrammetric engineering, LiDAR Remote Sensing and Applications expertly joins LiDAR principles, data processing basics, applications, and hands-on practices in one comprehensive source.
The LiDAR data within this book is collected from 27 areas in the United States, Brazil, Canada, Ghana, and Haiti and includes 183...
More Description
Ideal for both undergraduate and graduate students in the fields of geography, forestry, ecology, geographic information science, remote sensing, and photogrammetric engineering, LiDAR Remote Sensing and Applications expertly joins LiDAR principles, data processing basics, applications, and hands-on practices in one comprehensive source.
The LiDAR data within this book is collected from 27 areas in the United States, Brazil, Canada, Ghana, and Haiti and includes 183 figures created to introduce the concepts, methods, and applications in a clear context. It provides 11 step-by-step projects predominately based on Esri's ArcGIS software to support seamless integration of LiDAR products and other GIS data. The first six projects are for basic LiDAR data visualization and processing and the other five cover more advanced topics: from mapping gaps in mangrove forests in Everglades National Park, Florida to generating trend surfaces for rock layers in Raplee Ridge, Utah.
Features
- Offers a comprehensive overview of LiDAR technology with numerous applications in geography, forestry and earth science
- Gives necessary theoretical foundations from all pertinent subject matter areas
- Uses case studies and best practices to point readers to tools and resources
- Provides a synthesis of ongoing research in the area of LiDAR remote sensing technology
- Includes carefully selected illustrations and data from the authors' research projects
- Before every project in the book, a link is provided for users to download data