Advanced Remote Sensing

1st Edition

Terrestrial Information Extraction and Applications

Editors: Shunlin Liang Xiaowen Li Jindi Wang
Hardcover ISBN: 9780123859549
eBook ISBN: 9780123859556
Imprint: Academic Press
Published Date: 17th August 2012
Page Count: 800
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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


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

Table of Contents




List of Contributors

Chapter 1. A Systematic View of Remote Sensing

1.1 Introduction

1.2 Platform and Sensor System

1.3 Data Transmission and Ground Receiving System

1.4 Data Processing System

1.5 Mapping Category Variables

1.6 Estimating Quantitative Variables

1.7 Production, Archiving, and Distribution of High-level Products

1.8 Product Validation

1.9 Remote Sensing Applications

1.10 Concluding Remarks


Chapter 2. Geometric Processing and Positioning Techniques

2.1 Overview

2.2 Geometric Calibration of Satellite Remote-Sensing Imagery

2.3 Geometric Rectification of a Single Remote-Sensing Image

2.4 Geometric Registration of Satellite Remote-Sensing Imagery

2.5 Construction of a Digital Terrain Model

2.6 Orthoimage Production

2.7 Summary


Chapter 3. Compositing, Smoothing, and Gap-Filling Techniques

3.1 Multitemporal Compositing Techniques

3.2 Time-series Data Smoothing and Gap-filling

3.3 Summary


Chapter 4. Data Fusion

4.1 An Overview of Remote-Sensing Data Fusion

4.2 Methods for Pixel-level Remote-Sensing Data Fusion

4.3 Generalized Model for Pixel-level Remote-Sensing Data Fusion

4.4 Heterogeneous Data Source Fusion Technique

4.5 Summary


Chapter 5. Atmospheric Correction of Optical Imagery

5.1 Atmospheric Effects

5.2 Correcting the Aerosol Impact

5.3 Correcting the Impact of Water Vapor

5.4 Correcting the Impacts of Other Constituents

5.5 Commonly Used Models and Software

5.6 Conclusions


Chapter 6. Solar Radiation

6.1 Basic Concepts

6.2 Observation Network of Land-Surface Radiation

6.3 Surface Radi


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© Academic Press 2012
Academic Press
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About the Editor

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


"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