Optical Remote Sensing of Land Surface

Techniques and Methods

Nicolas Baghdadi, Mehrez Zribi

• Publisher: ISTE Press - Elsevier
• Year: 2016
• ISBN:
  9780081011843
• Topic: Technology & Engineering
• Subtopic: Civil Engineering
• Index: Technology & Engineering

The considerable progress in instrumentation and in the development of methods for the processing and analysis of data places remote sensing at the center of various international programs for the surveillance and tracking of climatic and anthropogenic changes and effects on the environment. This volume presents optical imaging and LiDAR systems: their instrumentation, physics of measurement, processing methods and data analysis. The estimation of a digital terrain model based on optical images and LiDAR data is also discussed.This book, part of a set of six volumes, has been produced by scientists who are internationally renowned in their fields. It is addressed to students (engineers, Masters, PhD), engineers and scientists, specialists in Earth observation techniques and imaging systems.Through this pedagogical work, the authors contribute to breaking down the barriers that hinder the use of Earth observation data.

• Provides clear and concise descriptions of modern remote sensing methods
• Explores the most current remote sensing techniques with physical aspects of the measurement (theory) and their applications
• Provides chapters on physical principles, measurement, and data processing for each technique described
• Describes optical remote sensing technology, including a description of acquisition systems and measurement corrections to be made

Table of contents

• Cover image
• Title page
• Table of Contents
• Copyright
• Foreword
• Acronyms
• Introduction
• 1: Radiometry in the Optical Domain
• 2: Multispectral Satellite Image Processing
• 3: Digital Terrain Models from Optical Images
• 4: Processing Hyperspectral Images
• 5: Principle and Physics of the LiDAR Measurement
• 6: Airborne LiDAR Data Processing
• 7: Digital Terrain Models Derived from Airborne LiDAR Data
• Glossary
• List of Authors
• Index
• Scientific Committee