Optical and Sar Remote Sensing of Urban Areas: A Practical Guide (Hardcover, 2022)

1.1 Introduction

      1.1.1 Background

      1.1.2 Cloud and Desktop Open Source Software Applications 

1.2 Study Area and Data

      1.2.1 Harare Metropolitan Area

      1.2.2 Satellite Imagery

1.3 Preliminary Image Processing in GEE

      1.3.1 Lab 1. Processing Sentinel-2 Imagery 

      1.3.2 Lab 2. Exploring Sentinel-1 Imagery 

1.4 Summary

1.5 Additional Exercises

References

Chapter 2. Exploratory Analysis and Transformation for Remotely-Sensed Imagery

2.1 Introduction

2.1.1 Preparing Training Areas

2.1.2. Land Cover Classification Scheme

2.1.3. Spectral and Texture Indices

2.2  Exploratory Data Analysis and Image Transformation

2.2.1 Lab 1. Preparing Training Data

2.2.2 Lab 2. Creating Spectral Plots

2.2.3 Lab 3. Computing Spectral Indices using Sentinel-2 Imagery

2.2.4 Lab 4. Computing Texture Indices using Sentinel-2 Imagery

2.2.5 Lab 5. Computing Texture Indices using Sentinel-1 Imagery

2.3 Summary

2.4 Additional Exercises

References

Chapter 3. Mapping Urban Land Cover using Multi-seasonal Sentinel-2 Imagery, Spectral and Texture Indices 

3.1 Introduction

3.1.1 Background

3.1.2 Land Cover Mapping using Multi-seasonal Imagery and Other Derived Data

3.2  Land Cover Mapping Labs

3.2.1 Lab 1. Mapping Land Cover using Multi-seasonal Sentinel-2 Imagery

3.2.2 Lab 2. Mapping Land Cover using Multi-seasonal Sentinel-2 Imagery and Other Derived Data

3.3 Summary

3.4 Additional Exercises

References

Chapter 4. Mapping Urban Land Cover using Multi-seasonal Sentinel-1 Imagery and Texture Indices

4.1 Introduction

4.1.1 Background

4.1.2. Synthetic Aperture Radar (SAR) Basics

4.2 Land Cover Mapping Labs

4.2.1 Lab 1. Mapping Land Cover using Multi-seasonal Sentinel-1 Imagery

4.2.2 Lab 2. Mapping Land Cover using Multi-seasonal Sentinel-1 Imagery and Texture Indices

4.3 Summary

4.4 Additional Exercises

References

Chapter 5. Improving Urban Land Cover Mapping

5.1 Background

5.2 Land Cover Mapping Labs

5.2.1 Lab 1. Mapping Land Cover using Multi-seasonal Sentinel-1 and Sentinel-2 Imagery

5.2.2 Lab 2. Mapping Land Cover using Multi-seasonal Sentinel-1 and Sentinel-2 Imagery, and Other Derived Data

5.3 Summary

5.4 Additional Exercises

References

Chapter 6. Land Cover Classification Accuracy Assessment

6.1 Background

6.1.1 Sampling Design

6.1.2 Response Design

6.1.3 Analysis

6.2. Performing Accuracy Assessment

6.2.1 Lab 1. Sample Design

6.2.2 Lab 2. Response Design

6.4 Additional exercises

References

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