Description

Advanced Remote Sensing is an application-based reference that provides a single source of mathematical concepts necessary for remote sensing data gathering and assimilation. It presents state-of-the-art techniques for estimating land surface variables from a variety of data types, including optical sensors such as RADAR and LIDAR. Scientists in a number of different fields including geography, geology, atmospheric science, environmental science, planetary science and ecology will have access to critically-important data extraction techniques and their virtually unlimited applications. While rigorous enough for the most experienced of scientists, the techniques are well designed and integrated, making the book’s content intuitive, clearly presented, and practical in its implementation.

Key Features

* Comprehensive overview of various practical methods and algorithms
* Detailed description of the principles and procedures of the state-of-the-art algorithms
* Real-world case studies open several chapters
* More than 500 full-color figures and tables
* Edited by top remote sensing experts with contributions from authors across the geosciences

Readership

Geographers, geologists, oceanographers, atmospheric scientists, environmental scientists, and ecologists

Details

No. of pages:
800
Language:
English
Copyright:
© 2012
Published:
Imprint:
Academic Press
Print ISBN:
9780123859549
Electronic ISBN:
9780123859556

About the authors

Shunlin Liang

Affiliations and Expertise

Department of Geography, University of Maryland, College Park, MD, USA

Xiaowen Li

Affiliations and Expertise

College of Geography, Beijing Normal University, Beijing, China

Jindi Wang

Affiliations and Expertise

College of Geography, Beijing Normal University, Beijing, China

Reviews

"The volume’s editors adeptly compiled chapters from many authors to create a reference that is easy to navigate and read…a thorough reference for a broad range of state-of-the-art remote sensing techniques with a focus on creating biophysical parameters from remotely sensed data and it fills a niche among remote sensing textbooks and applications."--The Quarterly Review of Biology, June 2014
"The treatment here is highly quantitative and rigorously technical, but also accessible to students at the upper undergraduate and first-year graduate levels."--Reference and Research Book News, December 2012